diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/public_gate/normalized_schema_snapshot.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..cec2d0784b7af841ccc2f6c9ebae396d125b6b16
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,152 @@
+{
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+  "target_column": "class",
+  "task_type": "classification",
+  "columns": [
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+      "role": "feature",
+      "semantic_type": "numeric",
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+      "role": "feature",
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+    {
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+      "semantic_type": "categorical",
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+        "unique_ratio": 8.4e-05,
+        "example_values": [
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+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/public_gate/public_gate_report.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..7c6872c0280d7e7ef8d16e613861f880d01ca1ba
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/public_gate/public_gate_report.json
@@ -0,0 +1,37 @@
+{
+  "dataset_id": "c20",
+  "status": "pass",
+  "checks": [
+    {
+      "check_id": "PG001_csv_parse_ok",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG002_split_header_consistent",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG003_profile_header_match",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG004_missing_token_normalized",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG005_semantic_type_validated",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG006_target_defined_and_valid",
+      "status": "pass"
+    }
+  ],
+  "target_column": "class",
+  "task_type": "classification",
+  "input_splits": {
+    "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-train.csv",
+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-test.csv"
+  }
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/public_gate/staged_input_manifest.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..3725b7d5158184af0e8208a123f6a53f969e8ea4
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/public_gate/staged_input_manifest.json
@@ -0,0 +1,157 @@
+{
+  "dataset_id": "c20",
+  "target_column": "class",
+  "task_type": "classification",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/public_gate/public_gate_report.json",
+  "column_schema": [
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+      "semantic_type": "numeric",
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+        ]
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+    },
+    {
+      "name": "white_piece0_rank",
+      "role": "feature",
+      "semantic_type": "numeric",
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+      "role": "feature",
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+          "4",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_rank",
+      "role": "feature",
+      "semantic_type": "numeric",
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+          "1",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
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+        "unique_ratio": 8.4e-05,
+        "example_values": [
+          "w",
+          "b",
+          "d"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/ctgan/adapter_report.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/ctgan/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..fc76acf993cb627273e6f724254147b792531c95
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/ctgan/adapter_report.json
@@ -0,0 +1,7 @@
+{
+  "adapter_ready_status": "pass",
+  "adapter_fail_reason_code": null,
+  "adapter_fail_detail": null,
+  "adapter_transforms_applied": [],
+  "model_input_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/ctgan/model_input_manifest.json"
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/ctgan/adapter_transforms_applied.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/ctgan/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/ctgan/adapter_transforms_applied.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/ctgan/model_input_manifest.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/ctgan/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..28425ff61f93faef1a13da7f4267ccfa0750cbbd
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/ctgan/model_input_manifest.json
@@ -0,0 +1,159 @@
+{
+  "dataset_id": "c20",
+  "model": "ctgan",
+  "target_column": "class",
+  "task_type": "classification",
+  "column_schema": [
+    {
+      "name": "white_piece0_strength",
+      "role": "feature",
+      "semantic_type": "numeric",
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+      "missing_tokens": [],
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+      "impute_strategy": "median",
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+          "5",
+          "6"
+        ]
+      }
+    },
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+      "name": "white_piece0_file",
+      "role": "feature",
+      "semantic_type": "numeric",
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+        "unique_ratio": 0.000195,
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+        ]
+      }
+    },
+    {
+      "name": "white_piece0_rank",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
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+          "7"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_strength",
+      "role": "feature",
+      "semantic_type": "numeric",
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+          "5"
+        ]
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+    },
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+          "3",
+          "4",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_rank",
+      "role": "feature",
+      "semantic_type": "numeric",
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+          "4"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "categorical",
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+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
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+        "unique_ratio": 8.4e-05,
+        "example_values": [
+          "w",
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+          "d"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/public_gate/public_gate_report.json"
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/public/staged_features.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..7bfaf356cdd18982cf935867692dd592258079ce
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/public/staged_features.json
@@ -0,0 +1,37 @@
+[
+  {
+    "feature_name": "white_piece0_strength",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "white_piece0_file",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "white_piece0_rank",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "black_piece0_strength",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "black_piece0_file",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "black_piece0_rank",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "class",
+    "data_type": "categorical",
+    "is_target": true
+  }
+]
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/public/test.csv b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..16155ab429bf343dd53395a591530f7ed75e6f3d
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/public/test.csv
@@ -0,0 +1,4484 @@
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diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/public/train.csv b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..ff1d6c45adabbcfc2073a4e8ffcf5f3cb6dce40b
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/public/train.csv
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diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/public/val.csv b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..52fbe5eefe17f1a2eec6b31636950952bafdab26
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052033/staged/public/val.csv
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diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/ctgan_metadata.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/ctgan_metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..f5d4af2f1270b6d9c47e16c400cfcf8ebc20b7b8
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/ctgan_metadata.json
@@ -0,0 +1,32 @@
+{
+  "columns": [
+    {
+      "name": "white_piece0_strength",
+      "type": "continuous"
+    },
+    {
+      "name": "white_piece0_file",
+      "type": "continuous"
+    },
+    {
+      "name": "white_piece0_rank",
+      "type": "continuous"
+    },
+    {
+      "name": "black_piece0_strength",
+      "type": "continuous"
+    },
+    {
+      "name": "black_piece0_file",
+      "type": "continuous"
+    },
+    {
+      "name": "black_piece0_rank",
+      "type": "continuous"
+    },
+    {
+      "name": "class",
+      "type": "categorical"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/gen_20260330_065452.log b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/gen_20260330_065452.log
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/models_300epochs/train_20260328_052613.log b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/models_300epochs/train_20260328_052613.log
new file mode 100644
index 0000000000000000000000000000000000000000..19673a95552befef13608269dff934aa13d5cf14
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/models_300epochs/train_20260328_052613.log
@@ -0,0 +1,2 @@
+/opt/conda/lib/python3.10/site-packages/torch/autograd/graph.py:841: UserWarning: Attempting to run cuBLAS, but there was no current CUDA context! Attempting to set the primary context... (Triggered internally at /pytorch/aten/src/ATen/cuda/CublasHandlePool.cpp:270.)
+  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/public_gate/normalized_schema_snapshot.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..cec2d0784b7af841ccc2f6c9ebae396d125b6b16
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,152 @@
+{
+  "dataset_id": "c20",
+  "target_column": "class",
+  "task_type": "classification",
+  "columns": [
+    {
+      "name": "white_piece0_strength",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
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+        "unique_count": 5,
+        "unique_ratio": 0.000139,
+        "example_values": [
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+          "4",
+          "5",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "white_piece0_file",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 7,
+        "unique_ratio": 0.000195,
+        "example_values": [
+          "5",
+          "6",
+          "3",
+          "0",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "white_piece0_rank",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
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+        "unique_ratio": 0.000251,
+        "example_values": [
+          "8",
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+          "3",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_strength",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
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+        "unique_ratio": 0.000139,
+        "example_values": [
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+          "0",
+          "6",
+          "5"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_file",
+      "role": "feature",
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+        "example_values": [
+          "1",
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+          "3",
+          "4",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_rank",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
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+        "unique_ratio": 0.000251,
+        "example_values": [
+          "7",
+          "2",
+          "5",
+          "1",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 8.4e-05,
+        "example_values": [
+          "w",
+          "b",
+          "d"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/public_gate/public_gate_report.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..7c6872c0280d7e7ef8d16e613861f880d01ca1ba
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/public_gate/public_gate_report.json
@@ -0,0 +1,37 @@
+{
+  "dataset_id": "c20",
+  "status": "pass",
+  "checks": [
+    {
+      "check_id": "PG001_csv_parse_ok",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG002_split_header_consistent",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG003_profile_header_match",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG004_missing_token_normalized",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG005_semantic_type_validated",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG006_target_defined_and_valid",
+      "status": "pass"
+    }
+  ],
+  "target_column": "class",
+  "task_type": "classification",
+  "input_splits": {
+    "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-train.csv",
+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-test.csv"
+  }
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/public_gate/staged_input_manifest.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..db9e86c0e444b4bea4d049f90e095f7d50700b62
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/public_gate/staged_input_manifest.json
@@ -0,0 +1,157 @@
+{
+  "dataset_id": "c20",
+  "target_column": "class",
+  "task_type": "classification",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/public_gate/public_gate_report.json",
+  "column_schema": [
+    {
+      "name": "white_piece0_strength",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
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+        "example_values": [
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+          "4",
+          "5",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "white_piece0_file",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
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+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
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+        "unique_ratio": 0.000195,
+        "example_values": [
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+          "3",
+          "0",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "white_piece0_rank",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
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+        ]
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+    },
+    {
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+          "5"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_file",
+      "role": "feature",
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+        "example_values": [
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+          "3",
+          "4",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_rank",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
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+        "unique_ratio": 0.000251,
+        "example_values": [
+          "7",
+          "2",
+          "5",
+          "1",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 8.4e-05,
+        "example_values": [
+          "w",
+          "b",
+          "d"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/ctgan/adapter_report.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/ctgan/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..04890dac6eaaa6f5b157dfa0fb3033108f034c08
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/ctgan/adapter_report.json
@@ -0,0 +1,7 @@
+{
+  "adapter_ready_status": "pass",
+  "adapter_fail_reason_code": null,
+  "adapter_fail_detail": null,
+  "adapter_transforms_applied": [],
+  "model_input_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/ctgan/model_input_manifest.json"
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/ctgan/adapter_transforms_applied.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/ctgan/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/ctgan/adapter_transforms_applied.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/ctgan/model_input_manifest.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/ctgan/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..d28d23aef3d08211ee7c0cbcadc1c8bfbec00134
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/ctgan/model_input_manifest.json
@@ -0,0 +1,159 @@
+{
+  "dataset_id": "c20",
+  "model": "ctgan",
+  "target_column": "class",
+  "task_type": "classification",
+  "column_schema": [
+    {
+      "name": "white_piece0_strength",
+      "role": "feature",
+      "semantic_type": "numeric",
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+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
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+        "example_values": [
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+          "6"
+        ]
+      }
+    },
+    {
+      "name": "white_piece0_file",
+      "role": "feature",
+      "semantic_type": "numeric",
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+      "impute_strategy": "median",
+      "profile_stats": {
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+        "unique_ratio": 0.000195,
+        "example_values": [
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+          "3",
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+          "1"
+        ]
+      }
+    },
+    {
+      "name": "white_piece0_rank",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
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+        "unique_ratio": 0.000251,
+        "example_values": [
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+          "3",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_strength",
+      "role": "feature",
+      "semantic_type": "numeric",
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+      "missing_tokens": [],
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+      "impute_strategy": "median",
+      "profile_stats": {
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+    },
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+          "3",
+          "4",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_rank",
+      "role": "feature",
+      "semantic_type": "numeric",
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+      "missing_tokens": [],
+      "parse_format": null,
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+        "example_values": [
+          "7",
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+          "5",
+          "1",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 8.4e-05,
+        "example_values": [
+          "w",
+          "b",
+          "d"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/public_gate/public_gate_report.json"
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/public/staged_features.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..7bfaf356cdd18982cf935867692dd592258079ce
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/public/staged_features.json
@@ -0,0 +1,37 @@
+[
+  {
+    "feature_name": "white_piece0_strength",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "white_piece0_file",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "white_piece0_rank",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "black_piece0_strength",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "black_piece0_file",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "black_piece0_rank",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "class",
+    "data_type": "categorical",
+    "is_target": true
+  }
+]
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/public/test.csv b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..16155ab429bf343dd53395a591530f7ed75e6f3d
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/public/test.csv
@@ -0,0 +1,4484 @@
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diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/public/train.csv b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..ff1d6c45adabbcfc2073a4e8ffcf5f3cb6dce40b
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/public/train.csv
@@ -0,0 +1,35856 @@
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diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/public/val.csv b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..52fbe5eefe17f1a2eec6b31636950952bafdab26
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/ctgan/ctgan-c20-20260328_052613/staged/public/val.csv
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diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/gen_20260330_075230.log b/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/gen_20260330_075230.log
new file mode 100644
index 0000000000000000000000000000000000000000..c068165cf5d254f4dfe98f548f55bc7246d40b34
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/gen_20260330_075230.log
@@ -0,0 +1,14 @@
+
+  0%|          | 0/1000 [00:00<?, ?it/s]
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+1024it [01:47, 11.29it/s]                         
+1024it [01:47,  9.50it/s]
+Generated 0 invalid samples out of total 1024 samples generated. Sampling efficiency is: 100.0000%
+[benchmark_cli] Generated 1000 rows -> /work/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/rtf-c20-1000-20260330_075230.csv
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/gen_20260424_052834.log b/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/gen_20260424_052834.log
new file mode 100644
index 0000000000000000000000000000000000000000..8409b148a8a62ba84ad7756245d4e6be1df5a14f
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/gen_20260424_052834.log
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+35968it [00:28, 1265.33it/s]                           
+Generated 0 invalid samples out of total 35968 samples generated. Sampling efficiency is: 100.0000%
+[benchmark_cli] Generated 35855 rows -> /work/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/rtf-c20-35855-20260424_052834.csv
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/input_snapshot.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..470752c0690aed887f12f81f8ac9b865aeb0d3cb
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/input_snapshot.json
@@ -0,0 +1,36 @@
+{
+  "dataset_id": "c20",
+  "model": "realtabformer",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-train.csv",
+      "exists": true,
+      "size": 537948,
+      "sha256": "7b491c9989a22d06db0c24422e76bf1d73173a7ba1760d5a3c4e5768c868ac21"
+    },
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+      "exists": true,
+      "size": 67338,
+      "sha256": "82d69efb2fbd8ddf6e8d77d9070b3d299f619fded74e2956d3af4b34a9c95a75"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-test.csv",
+      "exists": true,
+      "size": 67368,
+      "sha256": "ab311b2ccc419e2b1423bd27d4079912f464405ef8d37cd87e73ad147ed787ec"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c20/c20-dataset_profile.json",
+      "exists": true,
+      "size": 3686,
+      "sha256": "64a935250a31399f41982c61828d40ab90791bab84e8dc6201dbdfa4508092b8"
+    },
+    "contract_json": {
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+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/public_gate/normalized_schema_snapshot.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..cec2d0784b7af841ccc2f6c9ebae396d125b6b16
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,152 @@
+{
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+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/public_gate/public_gate_report.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..7c6872c0280d7e7ef8d16e613861f880d01ca1ba
--- /dev/null
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@@ -0,0 +1,37 @@
+{
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+      "status": "pass"
+    },
+    {
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+      "status": "pass"
+    },
+    {
+      "check_id": "PG003_profile_header_match",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG004_missing_token_normalized",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG005_semantic_type_validated",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG006_target_defined_and_valid",
+      "status": "pass"
+    }
+  ],
+  "target_column": "class",
+  "task_type": "classification",
+  "input_splits": {
+    "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-train.csv",
+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-test.csv"
+  }
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/public_gate/staged_input_manifest.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..79b94a114aa4ac6843807fa4fb6cb79fe55c6d18
--- /dev/null
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@@ -0,0 +1,157 @@
+{
+  "dataset_id": "c20",
+  "target_column": "class",
+  "task_type": "classification",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/public_gate/public_gate_report.json",
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\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/realtabformer_features.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/realtabformer_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..7bfaf356cdd18982cf935867692dd592258079ce
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/realtabformer_features.json
@@ -0,0 +1,37 @@
+[
+  {
+    "feature_name": "white_piece0_strength",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "white_piece0_file",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
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+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "black_piece0_strength",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "black_piece0_file",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "black_piece0_rank",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "class",
+    "data_type": "categorical",
+    "is_target": true
+  }
+]
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/runtime_result.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..80ddadb8bf13a7454328032cf38cc9bd01e708eb
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/runtime_result.json
@@ -0,0 +1,14 @@
+{
+  "dataset_id": "c20",
+  "model": "realtabformer",
+  "run_id": "rtf-c20-20260329_231509",
+  "public_gate_status": "pass",
+  "adapter_ready_status": "pass",
+  "train_status": "skipped",
+  "generate_status": "success",
+  "reason_code": null,
+  "reason_detail": null,
+  "artifacts": {
+    "synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/rtf-c20-35855-20260424_052834.csv"
+  }
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/public/staged_features.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..7bfaf356cdd18982cf935867692dd592258079ce
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/public/staged_features.json
@@ -0,0 +1,37 @@
+[
+  {
+    "feature_name": "white_piece0_strength",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "white_piece0_file",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
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+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "black_piece0_strength",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "black_piece0_file",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "black_piece0_rank",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "class",
+    "data_type": "categorical",
+    "is_target": true
+  }
+]
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/public/test.csv b/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..16155ab429bf343dd53395a591530f7ed75e6f3d
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+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/public/test.csv
@@ -0,0 +1,4484 @@
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diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/public/train.csv b/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..ff1d6c45adabbcfc2073a4e8ffcf5f3cb6dce40b
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/public/train.csv
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diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/public/val.csv b/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..52fbe5eefe17f1a2eec6b31636950952bafdab26
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/public/val.csv
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diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/realtabformer/adapter_report.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/realtabformer/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..22b212189606b6e46eede5877642f5f028d6a998
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/realtabformer/adapter_report.json
@@ -0,0 +1,7 @@
+{
+  "adapter_ready_status": "pass",
+  "adapter_fail_reason_code": null,
+  "adapter_fail_detail": null,
+  "adapter_transforms_applied": [],
+  "model_input_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/realtabformer/model_input_manifest.json"
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/realtabformer/adapter_transforms_applied.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/realtabformer/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/realtabformer/adapter_transforms_applied.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/realtabformer/model_input_manifest.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/realtabformer/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..59686a3d5d055865c7e703d3d347c2f552c68305
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/realtabformer/model_input_manifest.json
@@ -0,0 +1,159 @@
+{
+  "dataset_id": "c20",
+  "model": "realtabformer",
+  "target_column": "class",
+  "task_type": "classification",
+  "column_schema": [
+    {
+      "name": "white_piece0_strength",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.000139,
+        "example_values": [
+          "7",
+          "0",
+          "4",
+          "5",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "white_piece0_file",
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diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabddpm/tabddpm-c20-20260424_033725/staged/public/train.csv b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabddpm/tabddpm-c20-20260424_033725/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..ff1d6c45adabbcfc2073a4e8ffcf5f3cb6dce40b
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabddpm/tabddpm-c20-20260424_033725/staged/public/train.csv
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diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_183752/_tabpfgen_generate.py b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_183752/_tabpfgen_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..2108980828df5980feea73a88063ba43f0b9fb52
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_183752/_tabpfgen_generate.py
@@ -0,0 +1,68 @@
+import numpy as np
+import pandas as pd
+import json
+from tabpfgen import TabPFGen
+
+df = pd.read_csv("/work/temp/tabpfgen_regen_parallel_deadline/20260422_070318/c20/staged/public/train.csv")
+target_col = "class"
+
+feature_cols = [c for c in df.columns if c != target_col]
+
+# --- Label-encode categorical / object columns ---
+cat_encodings = {}  # col -> list of unique values (index = code)
+for col in feature_cols:
+    if df[col].dtype == object or str(df[col].dtype) == 'category':
+        cats = sorted(df[col].dropna().unique().tolist(), key=str)
+        cat_map = {v: i for i, v in enumerate(cats)}
+        df[col] = df[col].map(cat_map).astype(float)
+        cat_encodings[col] = cats
+        print(f"[TabPFGen] Label-encoded '{col}' ({len(cats)} categories)")
+
+# Encode target if categorical
+target_cats = None
+if df[target_col].dtype == object or str(df[target_col].dtype) == 'category':
+    cats = sorted(df[target_col].dropna().unique().tolist(), key=str)
+    t_map = {v: i for i, v in enumerate(cats)}
+    df[target_col] = df[target_col].map(t_map).astype(float)
+    target_cats = cats
+    print(f"[TabPFGen] Label-encoded target '{target_col}' ({len(cats)} categories)")
+
+X = df[feature_cols].values.astype(np.float32)
+y = df[target_col].values
+
+# Handle NaN
+for i in range(X.shape[1]):
+    col_vals = X[:, i]
+    mask = np.isnan(col_vals)
+    if mask.any():
+        mean_val = np.nanmean(col_vals)
+        X[mask, i] = mean_val if not np.isnan(mean_val) else 0.0
+
+gen = TabPFGen(
+    n_sgld_steps=1000,
+    sgld_step_size=0.01,
+    sgld_noise_scale=0.01,
+    device="auto",
+)
+
+print(f"[TabPFGen] Generating 35855 rows via generate_classification")
+X_syn, y_syn = gen.generate_classification(X, y, n_samples=35855)
+
+syn_df = pd.DataFrame(X_syn, columns=feature_cols)
+syn_df[target_col] = y_syn
+
+# --- Inverse label-encoding for categorical columns ---
+for col, cats in cat_encodings.items():
+    # Round to nearest integer index, clamp to valid range
+    codes = np.round(syn_df[col].values).astype(int)
+    codes = np.clip(codes, 0, len(cats) - 1)
+    syn_df[col] = [cats[c] for c in codes]
+
+if target_cats is not None:
+    codes = np.round(syn_df[target_col].values).astype(int)
+    codes = np.clip(codes, 0, len(target_cats) - 1)
+    syn_df[target_col] = [target_cats[c] for c in codes]
+
+syn_df = syn_df[list(df.columns)]
+syn_df.to_csv("/work/temp/tabpfgen_regen_parallel_deadline/20260422_070318/c20/tabpfgen-c20-35855-20260422_070320.csv", index=False)
+print(f"[TabPFGen] Saved {len(syn_df)} rows -> /work/temp/tabpfgen_regen_parallel_deadline/20260422_070318/c20/tabpfgen-c20-35855-20260422_070320.csv")
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_183752/gen_20260422_070320.log b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_183752/gen_20260422_070320.log
new file mode 100644
index 0000000000000000000000000000000000000000..0364f11b94b164b2ddbe35961246e275049e1010
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_183752/gen_20260422_070320.log
@@ -0,0 +1,14 @@
+[TabPFGen] Label-encoded target 'class' (3 categories)
+[TabPFGen] Generating 35855 rows via generate_classification
+Step 0/1000
+Step 100/1000
+Step 200/1000
+Step 300/1000
+Step 400/1000
+Step 500/1000
+Step 600/1000
+Step 700/1000
+Step 800/1000
+Step 900/1000
+[TabPFGen] Saved 35853 rows -> /work/temp/tabpfgen_regen_parallel_deadline/20260422_070318/c20/tabpfgen-c20-35855-20260422_070320.csv
+[W421 23:10:28.485365072 AllocatorConfig.cpp:28] Warning: PYTORCH_CUDA_ALLOC_CONF is deprecated, use PYTORCH_ALLOC_CONF instead (function operator())
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_183752/input_snapshot.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_183752/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..98c2a470198ecf692d29ff99c939fb955b753ba0
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_183752/input_snapshot.json
@@ -0,0 +1,36 @@
+{
+  "dataset_id": "c20",
+  "model": "tabpfgen",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-train.csv",
+      "exists": true,
+      "size": 537948,
+      "sha256": "7b491c9989a22d06db0c24422e76bf1d73173a7ba1760d5a3c4e5768c868ac21"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-val.csv",
+      "exists": true,
+      "size": 67338,
+      "sha256": "82d69efb2fbd8ddf6e8d77d9070b3d299f619fded74e2956d3af4b34a9c95a75"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-test.csv",
+      "exists": true,
+      "size": 67368,
+      "sha256": "ab311b2ccc419e2b1423bd27d4079912f464405ef8d37cd87e73ad147ed787ec"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c20/c20-dataset_profile.json",
+      "exists": true,
+      "size": 3686,
+      "sha256": "64a935250a31399f41982c61828d40ab90791bab84e8dc6201dbdfa4508092b8"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c20/c20-dataset_contract_v1.json",
+      "exists": true,
+      "size": 3867,
+      "sha256": "78c743a19951022e3cbae86814578ff8723146c3d216423edc4b94e1b233ad27"
+    }
+  }
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_183752/runner.log b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_183752/runner.log
new file mode 100644
index 0000000000000000000000000000000000000000..0082ee33c975daacc84280f7c67c43691b4e9359
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_183752/runner.log
@@ -0,0 +1,19 @@
+[Runner] dataset_source=new, resolved=new
+[Runner] Auto num_rows = 35855 (same as training data)
+[Runner] Generating 35855 rows -> /data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_070318/c20/tabpfgen-c20-35855-20260422_070320.csv
+[tabpfgen] 启动 Docker: benchmark:tabpfgen-zjl
+[TabPFGen] Label-encoded target 'class' (3 categories)
+[TabPFGen] Generating 35855 rows via generate_classification
+Step 0/1000
+Step 100/1000
+Step 200/1000
+Step 300/1000
+Step 400/1000
+Step 500/1000
+Step 600/1000
+Step 700/1000
+Step 800/1000
+Step 900/1000
+[TabPFGen] Saved 35853 rows -> /work/temp/tabpfgen_regen_parallel_deadline/20260422_070318/c20/tabpfgen-c20-35855-20260422_070320.csv
+[W421 23:10:28.485365072 AllocatorConfig.cpp:28] Warning: PYTORCH_CUDA_ALLOC_CONF is deprecated, use PYTORCH_ALLOC_CONF instead (function operator())
+[Runner] 完成: {'generate': {'output_csv': '/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_070318/c20/tabpfgen-c20-35855-20260422_070320.csv'}, 'synthetic_csv': PosixPath('/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_070318/c20/tabpfgen-c20-35855-20260422_070320.csv'), 'runtime_result': PosixPath('/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_070318/c20/runtime_result.json')}
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_183752/runtime_result.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_183752/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..630e37f8e0408933de43c9026d544b78543ae8a8
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_183752/runtime_result.json
@@ -0,0 +1,14 @@
+{
+  "dataset_id": "c20",
+  "model": "tabpfgen",
+  "run_id": "c20-migrated-20260422_183752",
+  "public_gate_status": "pass",
+  "adapter_ready_status": "pass",
+  "train_status": "skipped",
+  "generate_status": "success",
+  "reason_code": null,
+  "reason_detail": null,
+  "artifacts": {
+    "synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_183752/tabpfgen-c20-35855-20260422_070320.csv"
+  }
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/_tabpfgen_generate.py b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/_tabpfgen_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..468d355aa65046466f6a299dba7d302a98d37a80
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/_tabpfgen_generate.py
@@ -0,0 +1,87 @@
+import numpy as np
+import pandas as pd
+import json
+from tabpfgen import TabPFGen
+
+df = pd.read_csv("/work/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c20/staged/public/train.csv")
+target_col = "class"
+
+feature_cols = [c for c in df.columns if c != target_col]
+
+# --- Label-encode categorical / object columns ---
+cat_encodings = {}  # col -> list of unique values (index = code)
+for col in feature_cols:
+    if df[col].dtype == object or str(df[col].dtype) == 'category':
+        cats = sorted(df[col].dropna().unique().tolist(), key=str)
+        cat_map = {v: i for i, v in enumerate(cats)}
+        df[col] = df[col].map(cat_map).astype(float)
+        cat_encodings[col] = cats
+        print(f"[TabPFGen] Label-encoded '{col}' ({len(cats)} categories)")
+
+# Encode target if categorical
+target_cats = None
+if df[target_col].dtype == object or str(df[target_col].dtype) == 'category':
+    cats = sorted(df[target_col].dropna().unique().tolist(), key=str)
+    t_map = {v: i for i, v in enumerate(cats)}
+    df[target_col] = df[target_col].map(t_map).astype(float)
+    target_cats = cats
+    print(f"[TabPFGen] Label-encoded target '{target_col}' ({len(cats)} categories)")
+
+X = df[feature_cols].values.astype(np.float32)
+y = df[target_col].values
+target_n = int(35855)
+
+# Handle NaN
+for i in range(X.shape[1]):
+    col_vals = X[:, i]
+    mask = np.isnan(col_vals)
+    if mask.any():
+        mean_val = np.nanmean(col_vals)
+        X[mask, i] = mean_val if not np.isnan(mean_val) else 0.0
+
+gen = TabPFGen(
+    n_sgld_steps=1000,
+    sgld_step_size=0.01,
+    sgld_noise_scale=0.01,
+    device="auto",
+)
+
+print(f"[TabPFGen] Generating {target_n} rows via generate_classification")
+X_syn, y_syn = gen.generate_classification(X, y, n_samples=target_n)
+
+syn_df = pd.DataFrame(X_syn, columns=feature_cols)
+syn_df[target_col] = y_syn
+
+# --- Inverse label-encoding for categorical columns ---
+for col, cats in cat_encodings.items():
+    # Round to nearest integer index, clamp to valid range
+    codes = np.round(syn_df[col].values).astype(int)
+    codes = np.clip(codes, 0, len(cats) - 1)
+    syn_df[col] = [cats[c] for c in codes]
+
+if target_cats is not None:
+    codes = np.round(syn_df[target_col].values).astype(int)
+    codes = np.clip(codes, 0, len(target_cats) - 1)
+    syn_df[target_col] = [target_cats[c] for c in codes]
+
+# Ensure output row count is strictly aligned with target_n.
+if len(syn_df) > target_n:
+    print(f"[TabPFGen] Trimming rows: {len(syn_df)} -> {target_n}")
+    syn_df = syn_df.iloc[:target_n].copy()
+elif len(syn_df) < target_n:
+    deficit = target_n - len(syn_df)
+    print(f"[TabPFGen] Padding rows: {len(syn_df)} -> {target_n} (deficit={deficit})")
+    if len(syn_df) > 0:
+        extra = syn_df.sample(n=deficit, replace=True, random_state=42)
+        syn_df = pd.concat([syn_df.reset_index(drop=True), extra.reset_index(drop=True)], ignore_index=True)
+    else:
+        # Defensive fallback: if generator returns empty, bootstrap from training rows.
+        syn_df = df[feature_cols + [target_col]].sample(
+            n=target_n, replace=True, random_state=42
+        ).reset_index(drop=True)
+
+syn_df = syn_df[list(df.columns)]
+if len(syn_df) != target_n:
+    raise RuntimeError(f"[TabPFGen] Row alignment failed: got {len(syn_df)}, expected {target_n}")
+syn_df.to_csv("/work/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c20/tabpfgen-c20-35855-20260422_191741.csv", index=False)
+print(f"[TabPFGen] Saved {len(syn_df)} rows -> /work/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c20/tabpfgen-c20-35855-20260422_191741.csv")
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/gen_20260422_191741.log b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/gen_20260422_191741.log
new file mode 100644
index 0000000000000000000000000000000000000000..a747574d77cd9a4e58e4e1e92d7c4034736e2312
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/gen_20260422_191741.log
@@ -0,0 +1,15 @@
+[TabPFGen] Label-encoded target 'class' (3 categories)
+[TabPFGen] Generating 35855 rows via generate_classification
+Step 0/1000
+Step 100/1000
+Step 200/1000
+Step 300/1000
+Step 400/1000
+Step 500/1000
+Step 600/1000
+Step 700/1000
+Step 800/1000
+Step 900/1000
+[TabPFGen] Padding rows: 35853 -> 35855 (deficit=2)
+[TabPFGen] Saved 35855 rows -> /work/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c20/tabpfgen-c20-35855-20260422_191741.csv
+[W422 11:23:43.618762499 AllocatorConfig.cpp:28] Warning: PYTORCH_CUDA_ALLOC_CONF is deprecated, use PYTORCH_ALLOC_CONF instead (function operator())
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/input_snapshot.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..98c2a470198ecf692d29ff99c939fb955b753ba0
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/input_snapshot.json
@@ -0,0 +1,36 @@
+{
+  "dataset_id": "c20",
+  "model": "tabpfgen",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-train.csv",
+      "exists": true,
+      "size": 537948,
+      "sha256": "7b491c9989a22d06db0c24422e76bf1d73173a7ba1760d5a3c4e5768c868ac21"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-val.csv",
+      "exists": true,
+      "size": 67338,
+      "sha256": "82d69efb2fbd8ddf6e8d77d9070b3d299f619fded74e2956d3af4b34a9c95a75"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-test.csv",
+      "exists": true,
+      "size": 67368,
+      "sha256": "ab311b2ccc419e2b1423bd27d4079912f464405ef8d37cd87e73ad147ed787ec"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c20/c20-dataset_profile.json",
+      "exists": true,
+      "size": 3686,
+      "sha256": "64a935250a31399f41982c61828d40ab90791bab84e8dc6201dbdfa4508092b8"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c20/c20-dataset_contract_v1.json",
+      "exists": true,
+      "size": 3867,
+      "sha256": "78c743a19951022e3cbae86814578ff8723146c3d216423edc4b94e1b233ad27"
+    }
+  }
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/public_gate/normalized_schema_snapshot.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..cec2d0784b7af841ccc2f6c9ebae396d125b6b16
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,152 @@
+{
+  "dataset_id": "c20",
+  "target_column": "class",
+  "task_type": "classification",
+  "columns": [
+    {
+      "name": "white_piece0_strength",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.000139,
+        "example_values": [
+          "7",
+          "0",
+          "4",
+          "5",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "white_piece0_file",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 7,
+        "unique_ratio": 0.000195,
+        "example_values": [
+          "5",
+          "6",
+          "3",
+          "0",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "white_piece0_rank",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 9,
+        "unique_ratio": 0.000251,
+        "example_values": [
+          "8",
+          "0",
+          "1",
+          "3",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_strength",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.000139,
+        "example_values": [
+          "4",
+          "7",
+          "0",
+          "6",
+          "5"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_file",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 7,
+        "unique_ratio": 0.000195,
+        "example_values": [
+          "1",
+          "0",
+          "3",
+          "4",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_rank",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 9,
+        "unique_ratio": 0.000251,
+        "example_values": [
+          "7",
+          "2",
+          "5",
+          "1",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 8.4e-05,
+        "example_values": [
+          "w",
+          "b",
+          "d"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/public_gate/public_gate_report.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..7c6872c0280d7e7ef8d16e613861f880d01ca1ba
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/public_gate/public_gate_report.json
@@ -0,0 +1,37 @@
+{
+  "dataset_id": "c20",
+  "status": "pass",
+  "checks": [
+    {
+      "check_id": "PG001_csv_parse_ok",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG002_split_header_consistent",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG003_profile_header_match",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG004_missing_token_normalized",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG005_semantic_type_validated",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG006_target_defined_and_valid",
+      "status": "pass"
+    }
+  ],
+  "target_column": "class",
+  "task_type": "classification",
+  "input_splits": {
+    "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-train.csv",
+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-test.csv"
+  }
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/public_gate/staged_input_manifest.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..4e8fdbd7643c5c9d6cd385905caa339bf04d0f1b
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/public_gate/staged_input_manifest.json
@@ -0,0 +1,157 @@
+{
+  "dataset_id": "c20",
+  "target_column": "class",
+  "task_type": "classification",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c20/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c20/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c20/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c20/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c20/public_gate/public_gate_report.json",
+  "column_schema": [
+    {
+      "name": "white_piece0_strength",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.000139,
+        "example_values": [
+          "7",
+          "0",
+          "4",
+          "5",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "white_piece0_file",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 7,
+        "unique_ratio": 0.000195,
+        "example_values": [
+          "5",
+          "6",
+          "3",
+          "0",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "white_piece0_rank",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 9,
+        "unique_ratio": 0.000251,
+        "example_values": [
+          "8",
+          "0",
+          "1",
+          "3",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_strength",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.000139,
+        "example_values": [
+          "4",
+          "7",
+          "0",
+          "6",
+          "5"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_file",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 7,
+        "unique_ratio": 0.000195,
+        "example_values": [
+          "1",
+          "0",
+          "3",
+          "4",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_rank",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 9,
+        "unique_ratio": 0.000251,
+        "example_values": [
+          "7",
+          "2",
+          "5",
+          "1",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 8.4e-05,
+        "example_values": [
+          "w",
+          "b",
+          "d"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/runner.log b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/runner.log
new file mode 100644
index 0000000000000000000000000000000000000000..903b431379b7637e70286a41ea51ac073ba6a9f8
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/runner.log
@@ -0,0 +1,20 @@
+[Runner] dataset_source=new, resolved=new
+[Runner] Auto num_rows = 35855 (same as training data)
+[Runner] Generating 35855 rows -> /data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c20/tabpfgen-c20-35855-20260422_191741.csv
+[tabpfgen] 启动 Docker: benchmark:tabpfgen-zjl
+[TabPFGen] Label-encoded target 'class' (3 categories)
+[TabPFGen] Generating 35855 rows via generate_classification
+Step 0/1000
+Step 100/1000
+Step 200/1000
+Step 300/1000
+Step 400/1000
+Step 500/1000
+Step 600/1000
+Step 700/1000
+Step 800/1000
+Step 900/1000
+[TabPFGen] Padding rows: 35853 -> 35855 (deficit=2)
+[TabPFGen] Saved 35855 rows -> /work/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c20/tabpfgen-c20-35855-20260422_191741.csv
+[W422 11:23:43.618762499 AllocatorConfig.cpp:28] Warning: PYTORCH_CUDA_ALLOC_CONF is deprecated, use PYTORCH_ALLOC_CONF instead (function operator())
+[Runner] 完成: {'generate': {'output_csv': '/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c20/tabpfgen-c20-35855-20260422_191741.csv'}, 'synthetic_csv': PosixPath('/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c20/tabpfgen-c20-35855-20260422_191741.csv'), 'runtime_result': PosixPath('/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c20/runtime_result.json')}
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/runtime_result.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..9b8cb7568349679e2badb6890b7d44c8d1c474cf
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/runtime_result.json
@@ -0,0 +1,14 @@
+{
+  "dataset_id": "c20",
+  "model": "tabpfgen",
+  "run_id": "c20-migrated-20260422_193053",
+  "public_gate_status": "pass",
+  "adapter_ready_status": "pass",
+  "train_status": "skipped",
+  "generate_status": "success",
+  "reason_code": null,
+  "reason_detail": null,
+  "artifacts": {
+    "synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/tabpfgen-c20-35855-20260422_191741.csv"
+  }
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/staged/public/staged_features.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..7bfaf356cdd18982cf935867692dd592258079ce
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/staged/public/staged_features.json
@@ -0,0 +1,37 @@
+[
+  {
+    "feature_name": "white_piece0_strength",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "white_piece0_file",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "white_piece0_rank",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "black_piece0_strength",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "black_piece0_file",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "black_piece0_rank",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "class",
+    "data_type": "categorical",
+    "is_target": true
+  }
+]
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/staged/public/test.csv b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..16155ab429bf343dd53395a591530f7ed75e6f3d
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/staged/public/test.csv
@@ -0,0 +1,4484 @@
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diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/staged/public/train.csv b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..ff1d6c45adabbcfc2073a4e8ffcf5f3cb6dce40b
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/staged/public/train.csv
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diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/staged/public/val.csv b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..52fbe5eefe17f1a2eec6b31636950952bafdab26
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/staged/public/val.csv
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diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/staged/tabpfgen/adapter_transforms_applied.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/staged/tabpfgen/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20-migrated-20260422_193053/staged/tabpfgen/adapter_transforms_applied.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/public_gate/normalized_schema_snapshot.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..cec2d0784b7af841ccc2f6c9ebae396d125b6b16
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,152 @@
+{
+  "dataset_id": "c20",
+  "target_column": "class",
+  "task_type": "classification",
+  "columns": [
+    {
+      "name": "white_piece0_strength",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.000139,
+        "example_values": [
+          "7",
+          "0",
+          "4",
+          "5",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "white_piece0_file",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 7,
+        "unique_ratio": 0.000195,
+        "example_values": [
+          "5",
+          "6",
+          "3",
+          "0",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "white_piece0_rank",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 9,
+        "unique_ratio": 0.000251,
+        "example_values": [
+          "8",
+          "0",
+          "1",
+          "3",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_strength",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.000139,
+        "example_values": [
+          "4",
+          "7",
+          "0",
+          "6",
+          "5"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_file",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 7,
+        "unique_ratio": 0.000195,
+        "example_values": [
+          "1",
+          "0",
+          "3",
+          "4",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_rank",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 9,
+        "unique_ratio": 0.000251,
+        "example_values": [
+          "7",
+          "2",
+          "5",
+          "1",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 8.4e-05,
+        "example_values": [
+          "w",
+          "b",
+          "d"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/public_gate/public_gate_report.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..7c6872c0280d7e7ef8d16e613861f880d01ca1ba
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/public_gate/public_gate_report.json
@@ -0,0 +1,37 @@
+{
+  "dataset_id": "c20",
+  "status": "pass",
+  "checks": [
+    {
+      "check_id": "PG001_csv_parse_ok",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG002_split_header_consistent",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG003_profile_header_match",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG004_missing_token_normalized",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG005_semantic_type_validated",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG006_target_defined_and_valid",
+      "status": "pass"
+    }
+  ],
+  "target_column": "class",
+  "task_type": "classification",
+  "input_splits": {
+    "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-train.csv",
+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-test.csv"
+  }
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/public_gate/staged_input_manifest.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..5be901b59ff275e4dafaa92cd6a2e03336baf289
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/public_gate/staged_input_manifest.json
@@ -0,0 +1,157 @@
+{
+  "dataset_id": "c20",
+  "target_column": "class",
+  "task_type": "classification",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/temp/nightly_runs/tabpfgen_generate_non_n_gpu1/c20/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/temp/nightly_runs/tabpfgen_generate_non_n_gpu1/c20/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/temp/nightly_runs/tabpfgen_generate_non_n_gpu1/c20/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/temp/nightly_runs/tabpfgen_generate_non_n_gpu1/c20/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/temp/nightly_runs/tabpfgen_generate_non_n_gpu1/c20/public_gate/public_gate_report.json",
+  "column_schema": [
+    {
+      "name": "white_piece0_strength",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.000139,
+        "example_values": [
+          "7",
+          "0",
+          "4",
+          "5",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "white_piece0_file",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 7,
+        "unique_ratio": 0.000195,
+        "example_values": [
+          "5",
+          "6",
+          "3",
+          "0",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "white_piece0_rank",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 9,
+        "unique_ratio": 0.000251,
+        "example_values": [
+          "8",
+          "0",
+          "1",
+          "3",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_strength",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.000139,
+        "example_values": [
+          "4",
+          "7",
+          "0",
+          "6",
+          "5"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_file",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 7,
+        "unique_ratio": 0.000195,
+        "example_values": [
+          "1",
+          "0",
+          "3",
+          "4",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_rank",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 9,
+        "unique_ratio": 0.000251,
+        "example_values": [
+          "7",
+          "2",
+          "5",
+          "1",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 8.4e-05,
+        "example_values": [
+          "w",
+          "b",
+          "d"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/staged/public/staged_features.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..7bfaf356cdd18982cf935867692dd592258079ce
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/staged/public/staged_features.json
@@ -0,0 +1,37 @@
+[
+  {
+    "feature_name": "white_piece0_strength",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "white_piece0_file",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "white_piece0_rank",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "black_piece0_strength",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "black_piece0_file",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "black_piece0_rank",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "class",
+    "data_type": "categorical",
+    "is_target": true
+  }
+]
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/staged/public/test.csv b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..16155ab429bf343dd53395a591530f7ed75e6f3d
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/staged/public/test.csv
@@ -0,0 +1,4484 @@
+white_piece0_strength,white_piece0_file,white_piece0_rank,black_piece0_strength,black_piece0_file,black_piece0_rank,class
+6,6,4,4,0,7,w
+6,0,0,7,5,0,b
+0,6,0,6,2,1,b
+7,4,6,6,2,0,b
+6,2,8,6,3,1,w
+5,6,7,6,6,6,w
+6,4,1,7,6,6,d
+4,6,7,7,0,3,w
+4,4,0,0,4,2,d
+0,0,7,6,2,6,d
+0,5,8,4,4,8,d
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diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/staged/public/train.csv b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..ff1d6c45adabbcfc2073a4e8ffcf5f3cb6dce40b
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/staged/public/train.csv
@@ -0,0 +1,35856 @@
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diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/staged/public/val.csv b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..52fbe5eefe17f1a2eec6b31636950952bafdab26
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/staged/public/val.csv
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+7,1,8,0,0,2,w
+5,3,4,6,2,2,b
+0,6,2,4,0,5,b
+0,6,3,6,3,5,b
+5,5,7,6,1,1,w
+5,6,0,6,0,8,d
+6,1,0,5,6,4,w
+0,5,5,6,6,7,d
+0,3,2,0,6,7,b
+7,0,5,6,0,1,b
+7,1,0,6,5,0,b
+6,6,3,6,3,4,b
+0,3,5,6,4,8,b
+6,3,6,4,0,7,w
+4,2,6,6,6,3,w
+5,5,7,6,5,6,w
+0,4,4,7,1,6,w
+7,0,0,4,6,1,b
+0,1,8,4,0,0,w
+6,6,4,5,6,3,w
+6,6,2,5,6,8,w
+4,0,7,6,5,6,w
+6,0,7,0,5,5,w
+6,3,2,6,4,2,w
+7,3,4,6,5,1,b
+6,3,5,5,3,7,w
+7,0,2,6,5,2,b
+7,1,7,0,0,2,w
+0,5,2,7,6,3,b
+7,6,5,6,2,6,b
+0,6,7,0,2,1,b
+7,4,1,4,2,8,w
+4,2,1,7,6,6,b
+4,0,2,0,2,3,d
+5,5,2,6,0,3,b
+5,4,1,6,6,6,b
+4,3,6,0,1,6,w
+0,1,4,0,4,4,b
+6,2,0,7,5,0,b
+4,5,1,6,2,0,b
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/staged/tabpfgen/adapter_report.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/staged/tabpfgen/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..4a5d6ab3d7e7a6951bcf60adc5a1acfe90ae6ba9
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/staged/tabpfgen/adapter_report.json
@@ -0,0 +1,7 @@
+{
+  "adapter_ready_status": "pass",
+  "adapter_fail_reason_code": null,
+  "adapter_fail_detail": null,
+  "adapter_transforms_applied": [],
+  "model_input_manifest": "/data/jialinzhang/SynthesizePipeline-server/temp/nightly_runs/tabpfgen_generate_non_n_gpu1/c20/staged/tabpfgen/model_input_manifest.json"
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/staged/tabpfgen/adapter_transforms_applied.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/staged/tabpfgen/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/staged/tabpfgen/adapter_transforms_applied.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/staged/tabpfgen/model_input_manifest.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/staged/tabpfgen/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..fa259f05e58639d837a1f559cc60a736f5a8177e
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/c20/staged/tabpfgen/model_input_manifest.json
@@ -0,0 +1,159 @@
+{
+  "dataset_id": "c20",
+  "model": "tabpfgen",
+  "target_column": "class",
+  "task_type": "classification",
+  "column_schema": [
+    {
+      "name": "white_piece0_strength",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.000139,
+        "example_values": [
+          "7",
+          "0",
+          "4",
+          "5",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "white_piece0_file",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 7,
+        "unique_ratio": 0.000195,
+        "example_values": [
+          "5",
+          "6",
+          "3",
+          "0",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "white_piece0_rank",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 9,
+        "unique_ratio": 0.000251,
+        "example_values": [
+          "8",
+          "0",
+          "1",
+          "3",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_strength",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.000139,
+        "example_values": [
+          "4",
+          "7",
+          "0",
+          "6",
+          "5"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_file",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 7,
+        "unique_ratio": 0.000195,
+        "example_values": [
+          "1",
+          "0",
+          "3",
+          "4",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_rank",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 9,
+        "unique_ratio": 0.000251,
+        "example_values": [
+          "7",
+          "2",
+          "5",
+          "1",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 8.4e-05,
+        "example_values": [
+          "w",
+          "b",
+          "d"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/temp/nightly_runs/tabpfgen_generate_non_n_gpu1/c20/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/temp/nightly_runs/tabpfgen_generate_non_n_gpu1/c20/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/temp/nightly_runs/tabpfgen_generate_non_n_gpu1/c20/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/temp/nightly_runs/tabpfgen_generate_non_n_gpu1/c20/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/temp/nightly_runs/tabpfgen_generate_non_n_gpu1/c20/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/temp/nightly_runs/tabpfgen_generate_non_n_gpu1/c20/public_gate/public_gate_report.json"
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260318_054304/_tabpfgen_generate.py b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260318_054304/_tabpfgen_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..9bd144a07dad04ff6b9268e735a4937398fad861
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260318_054304/_tabpfgen_generate.py
@@ -0,0 +1,70 @@
+import numpy as np
+import pandas as pd
+import json
+from tabpfgen import TabPFGen
+
+df = pd.read_csv("/work/DatasetNew/c20/c20-train.csv")
+target_col = "class"
+if target_col == "__LAST__":
+    target_col = df.columns[-1]
+
+feature_cols = [c for c in df.columns if c != target_col]
+
+# --- Label-encode categorical / object columns ---
+cat_encodings = {}  # col -> list of unique values (index = code)
+for col in feature_cols:
+    if df[col].dtype == object or str(df[col].dtype) == 'category':
+        cats = sorted(df[col].dropna().unique().tolist(), key=str)
+        cat_map = {v: i for i, v in enumerate(cats)}
+        df[col] = df[col].map(cat_map).astype(float)
+        cat_encodings[col] = cats
+        print(f"[TabPFGen] Label-encoded '{col}' ({len(cats)} categories)")
+
+# Encode target if categorical
+target_cats = None
+if df[target_col].dtype == object or str(df[target_col].dtype) == 'category':
+    cats = sorted(df[target_col].dropna().unique().tolist(), key=str)
+    t_map = {v: i for i, v in enumerate(cats)}
+    df[target_col] = df[target_col].map(t_map).astype(float)
+    target_cats = cats
+    print(f"[TabPFGen] Label-encoded target '{target_col}' ({len(cats)} categories)")
+
+X = df[feature_cols].values.astype(np.float32)
+y = df[target_col].values
+
+# Handle NaN
+for i in range(X.shape[1]):
+    col_vals = X[:, i]
+    mask = np.isnan(col_vals)
+    if mask.any():
+        mean_val = np.nanmean(col_vals)
+        X[mask, i] = mean_val if not np.isnan(mean_val) else 0.0
+
+gen = TabPFGen(
+    n_sgld_steps=1000,
+    sgld_step_size=0.01,
+    sgld_noise_scale=0.01,
+    device="auto",
+)
+
+print(f"[TabPFGen] Generating 35855 rows via generate_classification")
+X_syn, y_syn = gen.generate_classification(X, y, n_samples=35855)
+
+syn_df = pd.DataFrame(X_syn, columns=feature_cols)
+syn_df[target_col] = y_syn
+
+# --- Inverse label-encoding for categorical columns ---
+for col, cats in cat_encodings.items():
+    # Round to nearest integer index, clamp to valid range
+    codes = np.round(syn_df[col].values).astype(int)
+    codes = np.clip(codes, 0, len(cats) - 1)
+    syn_df[col] = [cats[c] for c in codes]
+
+if target_cats is not None:
+    codes = np.round(syn_df[target_col].values).astype(int)
+    codes = np.clip(codes, 0, len(target_cats) - 1)
+    syn_df[target_col] = [target_cats[c] for c in codes]
+
+syn_df = syn_df[list(df.columns)]
+syn_df.to_csv("/work/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260318_054304/tabpfgen-c20-35855-20260318_054304.csv", index=False)
+print(f"[TabPFGen] Saved {len(syn_df)} rows -> /work/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260318_054304/tabpfgen-c20-35855-20260318_054304.csv")
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260318_054304/gen_20260318_054304.log b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260318_054304/gen_20260318_054304.log
new file mode 100644
index 0000000000000000000000000000000000000000..642a55f85a55781184531be2626435319faa390c
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260318_054304/gen_20260318_054304.log
@@ -0,0 +1,28 @@
+
+==========
+== CUDA ==
+==========
+
+CUDA Version 12.8.1
+
+Container image Copyright (c) 2016-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+
+This container image and its contents are governed by the NVIDIA Deep Learning Container License.
+By pulling and using the container, you accept the terms and conditions of this license:
+https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license
+
+A copy of this license is made available in this container at /NGC-DL-CONTAINER-LICENSE for your convenience.
+
+[TabPFGen] Label-encoded target 'class' (3 categories)
+[TabPFGen] Generating 35855 rows via generate_classification
+Step 0/1000
+Step 100/1000
+Step 200/1000
+Step 300/1000
+Step 400/1000
+Step 500/1000
+Step 600/1000
+Step 700/1000
+Step 800/1000
+Step 900/1000
+[TabPFGen] Saved 35853 rows -> /work/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260318_054304/tabpfgen-c20-35855-20260318_054304.csv
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260318_054304/tabpfgen_meta.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260318_054304/tabpfgen_meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..5e99963ab7152762f8580f3197a1c6237c5267d0
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260318_054304/tabpfgen_meta.json
@@ -0,0 +1,8 @@
+{
+  "csv_path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-train.csv",
+  "json_path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c20/c20-dataset_profile.json",
+  "target_col": "class",
+  "is_classification": true,
+  "n_rows": 35855,
+  "n_cols": 7
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260318_054304/train_20260318_054304.log b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260318_054304/train_20260318_054304.log
new file mode 100644
index 0000000000000000000000000000000000000000..291851fb1027cc66cca51edc5fc370b7dd998cab
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260318_054304/train_20260318_054304.log
@@ -0,0 +1 @@
+[TabPFGen] No training needed (pretrained). Meta saved to /data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260318_054304/tabpfgen_meta.json
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260321_063952/_tabpfgen_generate.py b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260321_063952/_tabpfgen_generate.py
new file mode 100644
index 0000000000000000000000000000000000000000..03eafbffc282142cf1a5aa63a4f918f10767b3f2
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260321_063952/_tabpfgen_generate.py
@@ -0,0 +1,68 @@
+import numpy as np
+import pandas as pd
+import json
+from tabpfgen import TabPFGen
+
+df = pd.read_csv("/work/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260321_063952/staged/public/train.csv")
+target_col = "class"
+
+feature_cols = [c for c in df.columns if c != target_col]
+
+# --- Label-encode categorical / object columns ---
+cat_encodings = {}  # col -> list of unique values (index = code)
+for col in feature_cols:
+    if df[col].dtype == object or str(df[col].dtype) == 'category':
+        cats = sorted(df[col].dropna().unique().tolist(), key=str)
+        cat_map = {v: i for i, v in enumerate(cats)}
+        df[col] = df[col].map(cat_map).astype(float)
+        cat_encodings[col] = cats
+        print(f"[TabPFGen] Label-encoded '{col}' ({len(cats)} categories)")
+
+# Encode target if categorical
+target_cats = None
+if df[target_col].dtype == object or str(df[target_col].dtype) == 'category':
+    cats = sorted(df[target_col].dropna().unique().tolist(), key=str)
+    t_map = {v: i for i, v in enumerate(cats)}
+    df[target_col] = df[target_col].map(t_map).astype(float)
+    target_cats = cats
+    print(f"[TabPFGen] Label-encoded target '{target_col}' ({len(cats)} categories)")
+
+X = df[feature_cols].values.astype(np.float32)
+y = df[target_col].values
+
+# Handle NaN
+for i in range(X.shape[1]):
+    col_vals = X[:, i]
+    mask = np.isnan(col_vals)
+    if mask.any():
+        mean_val = np.nanmean(col_vals)
+        X[mask, i] = mean_val if not np.isnan(mean_val) else 0.0
+
+gen = TabPFGen(
+    n_sgld_steps=1000,
+    sgld_step_size=0.01,
+    sgld_noise_scale=0.01,
+    device="auto",
+)
+
+print(f"[TabPFGen] Generating 1000 rows via generate_classification")
+X_syn, y_syn = gen.generate_classification(X, y, n_samples=1000)
+
+syn_df = pd.DataFrame(X_syn, columns=feature_cols)
+syn_df[target_col] = y_syn
+
+# --- Inverse label-encoding for categorical columns ---
+for col, cats in cat_encodings.items():
+    # Round to nearest integer index, clamp to valid range
+    codes = np.round(syn_df[col].values).astype(int)
+    codes = np.clip(codes, 0, len(cats) - 1)
+    syn_df[col] = [cats[c] for c in codes]
+
+if target_cats is not None:
+    codes = np.round(syn_df[target_col].values).astype(int)
+    codes = np.clip(codes, 0, len(target_cats) - 1)
+    syn_df[target_col] = [target_cats[c] for c in codes]
+
+syn_df = syn_df[list(df.columns)]
+syn_df.to_csv("/work/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260321_063952/tabpfgen-c20-1000-20260321_063952.csv", index=False)
+print(f"[TabPFGen] Saved {len(syn_df)} rows -> /work/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260321_063952/tabpfgen-c20-1000-20260321_063952.csv")
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260321_063952/gen_20260321_063952.log b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260321_063952/gen_20260321_063952.log
new file mode 100644
index 0000000000000000000000000000000000000000..ecf6fd8695182a2c9914862edc9f76dd741bad6d
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260321_063952/gen_20260321_063952.log
@@ -0,0 +1,28 @@
+
+==========
+== CUDA ==
+==========
+
+CUDA Version 12.8.1
+
+Container image Copyright (c) 2016-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+
+This container image and its contents are governed by the NVIDIA Deep Learning Container License.
+By pulling and using the container, you accept the terms and conditions of this license:
+https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license
+
+A copy of this license is made available in this container at /NGC-DL-CONTAINER-LICENSE for your convenience.
+
+[TabPFGen] Label-encoded target 'class' (3 categories)
+[TabPFGen] Generating 1000 rows via generate_classification
+Step 0/1000
+Step 100/1000
+Step 200/1000
+Step 300/1000
+Step 400/1000
+Step 500/1000
+Step 600/1000
+Step 700/1000
+Step 800/1000
+Step 900/1000
+[TabPFGen] Saved 999 rows -> /work/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260321_063952/tabpfgen-c20-1000-20260321_063952.csv
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260321_063952/input_snapshot.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260321_063952/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..98c2a470198ecf692d29ff99c939fb955b753ba0
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260321_063952/input_snapshot.json
@@ -0,0 +1,36 @@
+{
+  "dataset_id": "c20",
+  "model": "tabpfgen",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-train.csv",
+      "exists": true,
+      "size": 537948,
+      "sha256": "7b491c9989a22d06db0c24422e76bf1d73173a7ba1760d5a3c4e5768c868ac21"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-val.csv",
+      "exists": true,
+      "size": 67338,
+      "sha256": "82d69efb2fbd8ddf6e8d77d9070b3d299f619fded74e2956d3af4b34a9c95a75"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-test.csv",
+      "exists": true,
+      "size": 67368,
+      "sha256": "ab311b2ccc419e2b1423bd27d4079912f464405ef8d37cd87e73ad147ed787ec"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c20/c20-dataset_profile.json",
+      "exists": true,
+      "size": 3686,
+      "sha256": "64a935250a31399f41982c61828d40ab90791bab84e8dc6201dbdfa4508092b8"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c20/c20-dataset_contract_v1.json",
+      "exists": true,
+      "size": 3867,
+      "sha256": "78c743a19951022e3cbae86814578ff8723146c3d216423edc4b94e1b233ad27"
+    }
+  }
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260321_063952/runtime_result.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260321_063952/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..f84376978428115f18518d78532e47d36d1e0c76
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260321_063952/runtime_result.json
@@ -0,0 +1,15 @@
+{
+  "dataset_id": "c20",
+  "model": "tabpfgen",
+  "run_id": "tabpfgen-c20-20260321_063952",
+  "public_gate_status": "pass",
+  "adapter_ready_status": "pass",
+  "train_status": "success",
+  "generate_status": "success",
+  "reason_code": null,
+  "reason_detail": null,
+  "artifacts": {
+    "synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260321_063952/tabpfgen-c20-1000-20260321_063952.csv",
+    "model_path": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260321_063952"
+  }
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260321_063952/tabpfgen_meta.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260321_063952/tabpfgen_meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..56f3c2a213b1a1449f7d0ee50733ff318948f6d3
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260321_063952/tabpfgen_meta.json
@@ -0,0 +1,8 @@
+{
+  "csv_path": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260321_063952/staged/public/train.csv",
+  "json_path": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260321_063952/staged/public/staged_features.json",
+  "target_col": "class",
+  "is_classification": true,
+  "n_rows": 35855,
+  "n_cols": 7
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260321_063952/train_20260321_063952.log b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260321_063952/train_20260321_063952.log
new file mode 100644
index 0000000000000000000000000000000000000000..855c4f3a1b407fe63f5bc73ee40645226f983587
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260321_063952/train_20260321_063952.log
@@ -0,0 +1 @@
+[TabPFGen] No training needed (pretrained). Meta saved to /data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabpfgen/tabpfgen-c20-20260321_063952/tabpfgen_meta.json
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/_tabsyn_sample.py b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/_tabsyn_sample.py
new file mode 100644
index 0000000000000000000000000000000000000000..87a14f33f1a2cf38e892e625719af02b635e9a3f
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/_tabsyn_sample.py
@@ -0,0 +1,39 @@
+import os, sys, subprocess
+
+work_dir = "/work/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648"
+dataname = "tabsyn_c20"
+output_csv = "/work/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/tabsyn-c20-35855-20260421_040132.csv"
+tabsyn_root = "/workspace/tabsyn"
+
+assert os.path.exists(tabsyn_root), f"TabSyn source not mounted: {tabsyn_root}"
+
+old = os.environ.get("PYTHONPATH", "")
+os.environ["PYTHONPATH"] = tabsyn_root + (os.pathsep + old if old else "")
+sys.path.insert(0, tabsyn_root)
+
+os.chdir(tabsyn_root)
+
+# Ensure data symlink exists
+data_link = os.path.join(tabsyn_root, "data", dataname)
+data_src = os.path.join(work_dir, "data", dataname)
+os.makedirs(os.path.join(tabsyn_root, "data"), exist_ok=True)
+if os.path.exists(data_link):
+    os.remove(data_link)
+os.symlink(data_src, data_link)
+
+print(f"[TabSyn] Sampling 35855 rows")
+env = os.environ.copy()
+env.setdefault("TABSYN_RESUME", "1")
+ret = subprocess.run(
+    [sys.executable, "main.py",
+     "--dataname", dataname,
+     "--mode", "sample",
+     "--method", "tabsyn",
+     "--gpu", "0",
+     "--save_path", output_csv],
+    cwd=tabsyn_root,
+    env=env
+)
+if ret.returncode != 0:
+    sys.exit(ret.returncode)
+print(f"[TabSyn] Saved -> {output_csv}")
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/_tabsyn_train.py b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/_tabsyn_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..4c893ab6edc2a4c8808a7686ac1eaaf9d5d15935
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/_tabsyn_train.py
@@ -0,0 +1,62 @@
+import os, sys, subprocess
+
+work_dir = "/work/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648"
+dataname = "tabsyn_c20"
+tabsyn_root = "/workspace/tabsyn"
+
+assert os.path.exists(tabsyn_root), f"TabSyn source not mounted: {tabsyn_root}"
+
+old = os.environ.get("PYTHONPATH", "")
+os.environ["PYTHONPATH"] = tabsyn_root + (os.pathsep + old if old else "")
+sys.path.insert(0, tabsyn_root)
+
+os.chdir(tabsyn_root)
+
+# Symlink data dir into TabSyn data/
+data_link = os.path.join(tabsyn_root, "data", dataname)
+data_src = os.path.join(work_dir, "data", dataname)
+os.makedirs(os.path.join(tabsyn_root, "data"), exist_ok=True)
+if os.path.exists(data_link):
+    os.remove(data_link)
+os.symlink(data_src, data_link)
+
+env = os.environ.copy()
+env.setdefault("TABSYN_RESUME", "1")
+_te = None
+if _te is not None:
+    env["TABSYN_VAE_EPOCHS"] = str(_te)
+    env["TABSYN_DIFFUSION_MAX_EPOCHS"] = str(max(_te + 1, 2))
+
+# Data preprocessing is done on the host side (_prepare_data_dir)
+# which creates .npy files, train/test CSVs, and info.json
+
+# Step 1: Train VAE (produces latent embeddings)
+print(f"[TabSyn] Step 1/2: Training VAE in {tabsyn_root}, dataname={dataname}")
+ret = subprocess.run(
+    [sys.executable, "main.py",
+     "--dataname", dataname,
+     "--mode", "train",
+     "--method", "vae",
+     "--gpu", "0"],
+    cwd=tabsyn_root,
+    env=env
+)
+if ret.returncode != 0:
+    print("[TabSyn] VAE training failed")
+    sys.exit(ret.returncode)
+
+# Step 2: Train diffusion model on latent space
+print(f"[TabSyn] Step 2/2: Training diffusion model")
+ret = subprocess.run(
+    [sys.executable, "main.py",
+     "--dataname", dataname,
+     "--mode", "train",
+     "--method", "tabsyn",
+     "--gpu", "0"],
+    cwd=tabsyn_root,
+    env=env
+)
+if ret.returncode != 0:
+    print("[TabSyn] Diffusion training failed")
+    sys.exit(ret.returncode)
+print("[TabSyn] Training complete (VAE + Diffusion)")
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/data/tabsyn_c20/X_cat_test.npy b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/data/tabsyn_c20/X_cat_test.npy
new file mode 100644
index 0000000000000000000000000000000000000000..8a57ad5aae5dbe8af0f0e17113f286d1d393a942
Binary files /dev/null and b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/data/tabsyn_c20/X_cat_test.npy differ
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/gen_20260421_040132.log b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/gen_20260421_040132.log
new file mode 100644
index 0000000000000000000000000000000000000000..641efb2d8395d7765a6eddf2717d51127c0f5656
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/gen_20260421_040132.log
@@ -0,0 +1,8 @@
+[TabSyn] Sampling 35855 rows
+/opt/conda/lib/python3.11/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+No NaNs in numerical features, skipping
+(40336, 1)
+Time: 7.3995373249053955
+Saving sampled data to /work/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/tabsyn-c20-35855-20260421_040132.csv
+[TabSyn] Saved -> /work/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/tabsyn-c20-35855-20260421_040132.csv
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/input_snapshot.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..9209145f7dcaf38c4acc29bfe75c5668a1f971d7
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/input_snapshot.json
@@ -0,0 +1,36 @@
+{
+  "dataset_id": "c20",
+  "model": "tabsyn",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-train.csv",
+      "exists": true,
+      "size": 537948,
+      "sha256": "7b491c9989a22d06db0c24422e76bf1d73173a7ba1760d5a3c4e5768c868ac21"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-val.csv",
+      "exists": true,
+      "size": 67338,
+      "sha256": "82d69efb2fbd8ddf6e8d77d9070b3d299f619fded74e2956d3af4b34a9c95a75"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-test.csv",
+      "exists": true,
+      "size": 67368,
+      "sha256": "ab311b2ccc419e2b1423bd27d4079912f464405ef8d37cd87e73ad147ed787ec"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c20/c20-dataset_profile.json",
+      "exists": true,
+      "size": 3686,
+      "sha256": "64a935250a31399f41982c61828d40ab90791bab84e8dc6201dbdfa4508092b8"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c20/c20-dataset_contract_v1.json",
+      "exists": true,
+      "size": 3867,
+      "sha256": "78c743a19951022e3cbae86814578ff8723146c3d216423edc4b94e1b233ad27"
+    }
+  }
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/public_gate/normalized_schema_snapshot.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/public_gate/normalized_schema_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..cec2d0784b7af841ccc2f6c9ebae396d125b6b16
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/public_gate/normalized_schema_snapshot.json
@@ -0,0 +1,152 @@
+{
+  "dataset_id": "c20",
+  "target_column": "class",
+  "task_type": "classification",
+  "columns": [
+    {
+      "name": "white_piece0_strength",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.000139,
+        "example_values": [
+          "7",
+          "0",
+          "4",
+          "5",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "white_piece0_file",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 7,
+        "unique_ratio": 0.000195,
+        "example_values": [
+          "5",
+          "6",
+          "3",
+          "0",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "white_piece0_rank",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 9,
+        "unique_ratio": 0.000251,
+        "example_values": [
+          "8",
+          "0",
+          "1",
+          "3",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_strength",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.000139,
+        "example_values": [
+          "4",
+          "7",
+          "0",
+          "6",
+          "5"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_file",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 7,
+        "unique_ratio": 0.000195,
+        "example_values": [
+          "1",
+          "0",
+          "3",
+          "4",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_rank",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 9,
+        "unique_ratio": 0.000251,
+        "example_values": [
+          "7",
+          "2",
+          "5",
+          "1",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 8.4e-05,
+        "example_values": [
+          "w",
+          "b",
+          "d"
+        ]
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/public_gate/public_gate_report.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/public_gate/public_gate_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..7c6872c0280d7e7ef8d16e613861f880d01ca1ba
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/public_gate/public_gate_report.json
@@ -0,0 +1,37 @@
+{
+  "dataset_id": "c20",
+  "status": "pass",
+  "checks": [
+    {
+      "check_id": "PG001_csv_parse_ok",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG002_split_header_consistent",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG003_profile_header_match",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG004_missing_token_normalized",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG005_semantic_type_validated",
+      "status": "pass"
+    },
+    {
+      "check_id": "PG006_target_defined_and_valid",
+      "status": "pass"
+    }
+  ],
+  "target_column": "class",
+  "task_type": "classification",
+  "input_splits": {
+    "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-train.csv",
+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-test.csv"
+  }
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/public_gate/staged_input_manifest.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/public_gate/staged_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..0046a451e6b002209a959926acadc5cb938f1bbe
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/public_gate/staged_input_manifest.json
@@ -0,0 +1,157 @@
+{
+  "dataset_id": "c20",
+  "target_column": "class",
+  "task_type": "classification",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/public_gate/public_gate_report.json",
+  "column_schema": [
+    {
+      "name": "white_piece0_strength",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.000139,
+        "example_values": [
+          "7",
+          "0",
+          "4",
+          "5",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "white_piece0_file",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 7,
+        "unique_ratio": 0.000195,
+        "example_values": [
+          "5",
+          "6",
+          "3",
+          "0",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "white_piece0_rank",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 9,
+        "unique_ratio": 0.000251,
+        "example_values": [
+          "8",
+          "0",
+          "1",
+          "3",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_strength",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
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+      "role": "target",
+      "semantic_type": "categorical",
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+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/runtime_result.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..6cce2bee095e07e73b290c808c23d0a683754584
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/runtime_result.json
@@ -0,0 +1,15 @@
+{
+  "dataset_id": "c20",
+  "model": "tabsyn",
+  "run_id": "tabsyn-c20-20260421_023648",
+  "public_gate_status": "pass",
+  "adapter_ready_status": "pass",
+  "train_status": "success",
+  "generate_status": "success",
+  "reason_code": null,
+  "reason_detail": null,
+  "artifacts": {
+    "synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/tabsyn-c20-35855-20260421_040132.csv",
+    "model_path": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648"
+  }
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/public/staged_features.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/public/staged_features.json
new file mode 100644
index 0000000000000000000000000000000000000000..7bfaf356cdd18982cf935867692dd592258079ce
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/public/staged_features.json
@@ -0,0 +1,37 @@
+[
+  {
+    "feature_name": "white_piece0_strength",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "white_piece0_file",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "white_piece0_rank",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "black_piece0_strength",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "black_piece0_file",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "black_piece0_rank",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "class",
+    "data_type": "categorical",
+    "is_target": true
+  }
+]
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/public/test.csv b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/public/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..16155ab429bf343dd53395a591530f7ed75e6f3d
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/public/test.csv
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diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/public/train.csv b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/public/train.csv
new file mode 100644
index 0000000000000000000000000000000000000000..ff1d6c45adabbcfc2073a4e8ffcf5f3cb6dce40b
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/public/train.csv
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diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/public/val.csv b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/public/val.csv
new file mode 100644
index 0000000000000000000000000000000000000000..52fbe5eefe17f1a2eec6b31636950952bafdab26
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/public/val.csv
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diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/tabsyn/adapter_report.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/tabsyn/adapter_report.json
new file mode 100644
index 0000000000000000000000000000000000000000..626553433558fb1bf37eed93343326987a7b2a09
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/tabsyn/adapter_report.json
@@ -0,0 +1,7 @@
+{
+  "adapter_ready_status": "pass",
+  "adapter_fail_reason_code": null,
+  "adapter_fail_detail": null,
+  "adapter_transforms_applied": [],
+  "model_input_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/tabsyn/model_input_manifest.json"
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/tabsyn/adapter_transforms_applied.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/tabsyn/adapter_transforms_applied.json
new file mode 100644
index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/tabsyn/adapter_transforms_applied.json
@@ -0,0 +1 @@
+[]
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/tabsyn/model_input_manifest.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/tabsyn/model_input_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..d7e523cc22c0aae98f4588129a1304dc8e2d2879
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/tabsyn/model_input_manifest.json
@@ -0,0 +1,159 @@
+{
+  "dataset_id": "c20",
+  "model": "tabsyn",
+  "target_column": "class",
+  "task_type": "classification",
+  "column_schema": [
+    {
+      "name": "white_piece0_strength",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.000139,
+        "example_values": [
+          "7",
+          "0",
+          "4",
+          "5",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "white_piece0_file",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 7,
+        "unique_ratio": 0.000195,
+        "example_values": [
+          "5",
+          "6",
+          "3",
+          "0",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "white_piece0_rank",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 9,
+        "unique_ratio": 0.000251,
+        "example_values": [
+          "8",
+          "0",
+          "1",
+          "3",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_strength",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
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+        "unique_ratio": 0.000139,
+        "example_values": [
+          "4",
+          "7",
+          "0",
+          "6",
+          "5"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_file",
+      "role": "feature",
+      "semantic_type": "numeric",
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+      "missing_tokens": [],
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+      "impute_strategy": "median",
+      "profile_stats": {
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+        "unique_count": 7,
+        "unique_ratio": 0.000195,
+        "example_values": [
+          "1",
+          "0",
+          "3",
+          "4",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "black_piece0_rank",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
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+        "unique_ratio": 0.000251,
+        "example_values": [
+          "7",
+          "2",
+          "5",
+          "1",
+          "4"
+        ]
+      }
+    },
+    {
+      "name": "class",
+      "role": "target",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 8.4e-05,
+        "example_values": [
+          "w",
+          "b",
+          "d"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/public_gate/public_gate_report.json"
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/synthetic/tabsyn_c20/test.csv b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/synthetic/tabsyn_c20/test.csv
new file mode 100644
index 0000000000000000000000000000000000000000..ea90ac39e7f07dc9e421f5b078baccc412d1118e
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260421_023648/synthetic/tabsyn_c20/test.csv
@@ -0,0 +1,4484 @@
+white_piece0_strength,white_piece0_file,white_piece0_rank,black_piece0_strength,black_piece0_file,black_piece0_rank,class
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diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260426_203054/_tabsyn_sample.py b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260426_203054/_tabsyn_sample.py
new file mode 100644
index 0000000000000000000000000000000000000000..40db4ccb4efdecfa0168259bfe3ada5b61c4dd4f
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260426_203054/_tabsyn_sample.py
@@ -0,0 +1,39 @@
+import os, sys, subprocess
+
+work_dir = "/work/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260426_203054"
+dataname = "tabsyn_c20"
+output_csv = "/work/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260426_203054/tabsyn-c20-35855-20260426_205806.csv"
+tabsyn_root = "/workspace/tabsyn"
+
+assert os.path.exists(tabsyn_root), f"TabSyn source not mounted: {tabsyn_root}"
+
+old = os.environ.get("PYTHONPATH", "")
+os.environ["PYTHONPATH"] = tabsyn_root + (os.pathsep + old if old else "")
+sys.path.insert(0, tabsyn_root)
+
+os.chdir(tabsyn_root)
+
+# Ensure data symlink exists
+data_link = os.path.join(tabsyn_root, "data", dataname)
+data_src = os.path.join(work_dir, "data", dataname)
+os.makedirs(os.path.join(tabsyn_root, "data"), exist_ok=True)
+if os.path.exists(data_link):
+    os.remove(data_link)
+os.symlink(data_src, data_link)
+
+print(f"[TabSyn] Sampling 35855 rows")
+env = os.environ.copy()
+env.setdefault("TABSYN_RESUME", "1")
+ret = subprocess.run(
+    [sys.executable, "main.py",
+     "--dataname", dataname,
+     "--mode", "sample",
+     "--method", "tabsyn",
+     "--gpu", "0",
+     "--save_path", output_csv],
+    cwd=tabsyn_root,
+    env=env
+)
+if ret.returncode != 0:
+    sys.exit(ret.returncode)
+print(f"[TabSyn] Saved -> {output_csv}")
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260426_203054/_tabsyn_train.py b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260426_203054/_tabsyn_train.py
new file mode 100644
index 0000000000000000000000000000000000000000..bcbc34e6df8ea5fbbe40228c2ed818e265e85e4d
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260426_203054/_tabsyn_train.py
@@ -0,0 +1,63 @@
+import os, sys, subprocess
+
+work_dir = "/work/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260426_203054"
+dataname = "tabsyn_c20"
+tabsyn_root = "/workspace/tabsyn"
+
+assert os.path.exists(tabsyn_root), f"TabSyn source not mounted: {tabsyn_root}"
+
+old = os.environ.get("PYTHONPATH", "")
+os.environ["PYTHONPATH"] = tabsyn_root + (os.pathsep + old if old else "")
+sys.path.insert(0, tabsyn_root)
+
+os.chdir(tabsyn_root)
+
+# Symlink data dir into TabSyn data/
+data_link = os.path.join(tabsyn_root, "data", dataname)
+data_src = os.path.join(work_dir, "data", dataname)
+os.makedirs(os.path.join(tabsyn_root, "data"), exist_ok=True)
+if os.path.exists(data_link):
+    os.remove(data_link)
+os.symlink(data_src, data_link)
+
+env = os.environ.copy()
+env.setdefault("TABSYN_RESUME", "1")
+env.setdefault("TABSYN_VAE_BATCH_SIZE", "1024")
+_te = 1000
+if _te is not None:
+    env["TABSYN_VAE_EPOCHS"] = str(_te)
+    env["TABSYN_DIFFUSION_MAX_EPOCHS"] = str(max(_te + 1, 2))
+
+# Data preprocessing is done on the host side (_prepare_data_dir)
+# which creates .npy files, train/test CSVs, and info.json
+
+# Step 1: Train VAE (produces latent embeddings)
+print(f"[TabSyn] Step 1/2: Training VAE in {tabsyn_root}, dataname={dataname}")
+ret = subprocess.run(
+    [sys.executable, "main.py",
+     "--dataname", dataname,
+     "--mode", "train",
+     "--method", "vae",
+     "--gpu", "0"],
+    cwd=tabsyn_root,
+    env=env
+)
+if ret.returncode != 0:
+    print("[TabSyn] VAE training failed")
+    sys.exit(ret.returncode)
+
+# Step 2: Train diffusion model on latent space
+print(f"[TabSyn] Step 2/2: Training diffusion model")
+ret = subprocess.run(
+    [sys.executable, "main.py",
+     "--dataname", dataname,
+     "--mode", "train",
+     "--method", "tabsyn",
+     "--gpu", "0"],
+    cwd=tabsyn_root,
+    env=env
+)
+if ret.returncode != 0:
+    print("[TabSyn] Diffusion training failed")
+    sys.exit(ret.returncode)
+print("[TabSyn] Training complete (VAE + Diffusion)")
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260426_203054/gen_20260426_205806.log b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260426_203054/gen_20260426_205806.log
new file mode 100644
index 0000000000000000000000000000000000000000..4c00bff2b58931e963798e2796958d3e0003a188
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260426_203054/gen_20260426_205806.log
@@ -0,0 +1,8 @@
+[TabSyn] Sampling 35855 rows
+/opt/conda/lib/python3.11/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+No NaNs in numerical features, skipping
+(35855, 1)
+Time: 3.302738904953003
+Saving sampled data to /work/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260426_203054/tabsyn-c20-35855-20260426_205806.csv
+[TabSyn] Saved -> /work/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260426_203054/tabsyn-c20-35855-20260426_205806.csv
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260426_203054/input_snapshot.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260426_203054/input_snapshot.json
new file mode 100644
index 0000000000000000000000000000000000000000..9209145f7dcaf38c4acc29bfe75c5668a1f971d7
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260426_203054/input_snapshot.json
@@ -0,0 +1,36 @@
+{
+  "dataset_id": "c20",
+  "model": "tabsyn",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-train.csv",
+      "exists": true,
+      "size": 537948,
+      "sha256": "7b491c9989a22d06db0c24422e76bf1d73173a7ba1760d5a3c4e5768c868ac21"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-val.csv",
+      "exists": true,
+      "size": 67338,
+      "sha256": "82d69efb2fbd8ddf6e8d77d9070b3d299f619fded74e2956d3af4b34a9c95a75"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-test.csv",
+      "exists": true,
+      "size": 67368,
+      "sha256": "ab311b2ccc419e2b1423bd27d4079912f464405ef8d37cd87e73ad147ed787ec"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c20/c20-dataset_profile.json",
+      "exists": true,
+      "size": 3686,
+      "sha256": "64a935250a31399f41982c61828d40ab90791bab84e8dc6201dbdfa4508092b8"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c20/c20-dataset_contract_v1.json",
+      "exists": true,
+      "size": 3867,
+      "sha256": "78c743a19951022e3cbae86814578ff8723146c3d216423edc4b94e1b233ad27"
+    }
+  }
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260426_203054/runtime_result.json b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260426_203054/runtime_result.json
new file mode 100644
index 0000000000000000000000000000000000000000..d98c5a90d756a583d47647e3523d89981e6207a3
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260426_203054/runtime_result.json
@@ -0,0 +1,15 @@
+{
+  "dataset_id": "c20",
+  "model": "tabsyn",
+  "run_id": "tabsyn-c20-20260426_203054",
+  "public_gate_status": "pass",
+  "adapter_ready_status": "pass",
+  "train_status": "success",
+  "generate_status": "success",
+  "reason_code": null,
+  "reason_detail": null,
+  "artifacts": {
+    "synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260426_203054/tabsyn-c20-35855-20260426_205806.csv",
+    "model_path": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260426_203054"
+  }
+}
\ No newline at end of file
diff --git a/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260426_203054/train_20260426_203054.log b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260426_203054/train_20260426_203054.log
new file mode 100644
index 0000000000000000000000000000000000000000..2582c6c5e363497b618570ed0833657213c41fb0
--- /dev/null
+++ b/SynthesizePipeline_Archive/output-SpecializedModels/c20/tabsyn/tabsyn-c20-20260426_203054/train_20260426_203054.log
@@ -0,0 +1,26414 @@
+[TabSyn] Step 1/2: Training VAE in /workspace/tabsyn, dataname=tabsyn_c20
+/opt/conda/lib/python3.11/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+No NaNs in numerical features, skipping
+self.category_embeddings.weight.shape=torch.Size([3, 4])
+[TabSyn][VAE] Resume from /workspace/tabsyn/tabsyn/vae/ckpt/tabsyn_c20/model.pt
+self.category_embeddings.weight.shape=torch.Size([3, 4])
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 1/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 1/1000:   3%|▎         | 1/36 [00:01<00:37,  1.07s/it]
+Epoch 1/1000:  17%|█▋        | 6/36 [00:01<00:04,  6.59it/s]
+Epoch 1/1000:  33%|███▎      | 12/36 [00:01<00:01, 14.09it/s]
+Epoch 1/1000:  50%|█████     | 18/36 [00:01<00:00, 21.76it/s]
+Epoch 1/1000:  69%|██████▉   | 25/36 [00:01<00:00, 31.00it/s]
+Epoch 1/1000:  86%|████████▌ | 31/36 [00:01<00:00, 36.76it/s]
+Epoch 1/1000: 100%|██████████| 36/36 [00:01<00:00, 19.58it/s]
+epoch: 0, beta = 0.010000, Train MSE: 0.004312, Train CE:0.000078, Train KL:2.278768, Val MSE:0.002170, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 2/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 2/1000:   3%|▎         | 1/36 [00:00<00:12,  2.80it/s]
+Epoch 2/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.99it/s]
+Epoch 2/1000:  36%|███▌      | 13/36 [00:00<00:00, 30.19it/s]
+Epoch 2/1000:  53%|█████▎    | 19/36 [00:00<00:00, 38.29it/s]
+Epoch 2/1000:  69%|██████▉   | 25/36 [00:00<00:00, 43.57it/s]
+Epoch 2/1000:  92%|█████████▏| 33/36 [00:00<00:00, 53.61it/s]
+Epoch 2/1000: 100%|██████████| 36/36 [00:01<00:00, 35.78it/s]
+epoch: 1, beta = 0.010000, Train MSE: 0.002085, Train CE:0.000034, Train KL:1.707435, Val MSE:0.002484, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 3/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 3/1000:   3%|▎         | 1/36 [00:00<00:15,  2.30it/s]
+Epoch 3/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.37it/s]
+Epoch 3/1000:  36%|███▌      | 13/36 [00:00<00:00, 27.18it/s]
+Epoch 3/1000:  53%|█████▎    | 19/36 [00:00<00:00, 34.76it/s]
+Epoch 3/1000:  69%|██████▉   | 25/36 [00:00<00:00, 40.92it/s]
+Epoch 3/1000:  86%|████████▌ | 31/36 [00:00<00:00, 44.79it/s]
+Epoch 3/1000: 100%|██████████| 36/36 [00:01<00:00, 30.76it/s]
+epoch: 2, beta = 0.010000, Train MSE: 0.002318, Train CE:0.000017, Train KL:1.580763, Val MSE:0.002573, Val CE:0.000041, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 4/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 4/1000:   3%|▎         | 1/36 [00:00<00:15,  2.22it/s]
+Epoch 4/1000:  22%|██▏       | 8/36 [00:00<00:01, 18.09it/s]
+Epoch 4/1000:  39%|███▉      | 14/36 [00:00<00:00, 27.38it/s]
+Epoch 4/1000:  53%|█████▎    | 19/36 [00:00<00:00, 32.01it/s]
+Epoch 4/1000:  67%|██████▋   | 24/36 [00:00<00:00, 36.03it/s]
+Epoch 4/1000:  83%|████████▎ | 30/36 [00:01<00:00, 41.95it/s]
+Epoch 4/1000: 100%|██████████| 36/36 [00:01<00:00, 31.00it/s]
+epoch: 3, beta = 0.010000, Train MSE: 0.002163, Train CE:0.000166, Train KL:1.568755, Val MSE:0.002584, Val CE:0.000024, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 5/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 5/1000:   3%|▎         | 1/36 [00:00<00:12,  2.84it/s]
+Epoch 5/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.21it/s]
+Epoch 5/1000:  33%|███▎      | 12/36 [00:00<00:00, 28.04it/s]
+Epoch 5/1000:  50%|█████     | 18/36 [00:00<00:00, 35.87it/s]
+Epoch 5/1000:  75%|███████▌  | 27/36 [00:00<00:00, 49.93it/s]
+Epoch 5/1000:  97%|█████████▋| 35/36 [00:00<00:00, 56.36it/s]
+Epoch 5/1000: 100%|██████████| 36/36 [00:00<00:00, 36.50it/s]
+epoch: 4, beta = 0.010000, Train MSE: 0.002261, Train CE:0.000026, Train KL:1.507541, Val MSE:0.002928, Val CE:0.000180, Train ACC:1.000000, Val ACC:0.999916
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 6/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 6/1000:   3%|▎         | 1/36 [00:00<00:15,  2.32it/s]
+Epoch 6/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.59it/s]
+Epoch 6/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.86it/s]
+Epoch 6/1000:  50%|█████     | 18/36 [00:00<00:00, 33.15it/s]
+Epoch 6/1000:  69%|██████▉   | 25/36 [00:00<00:00, 40.72it/s]
+Epoch 6/1000:  86%|████████▌ | 31/36 [00:00<00:00, 43.19it/s]
+Epoch 6/1000: 100%|██████████| 36/36 [00:01<00:00, 31.08it/s]
+epoch: 5, beta = 0.010000, Train MSE: 0.002465, Train CE:0.000200, Train KL:1.637348, Val MSE:0.002693, Val CE:0.000006, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 7/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 7/1000:   3%|▎         | 1/36 [00:00<00:14,  2.33it/s]
+Epoch 7/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.48it/s]
+Epoch 7/1000:  25%|██▌       | 9/36 [00:00<00:01, 17.87it/s]
+Epoch 7/1000:  36%|███▌      | 13/36 [00:00<00:01, 22.17it/s]
+Epoch 7/1000:  47%|████▋     | 17/36 [00:00<00:00, 26.07it/s]
+Epoch 7/1000:  61%|██████    | 22/36 [00:01<00:00, 31.51it/s]
+Epoch 7/1000:  75%|███████▌  | 27/36 [00:01<00:00, 35.60it/s]
+Epoch 7/1000:  89%|████████▉ | 32/36 [00:01<00:00, 37.88it/s]
+Epoch 7/1000: 100%|██████████| 36/36 [00:01<00:00, 25.36it/s]
+epoch: 6, beta = 0.010000, Train MSE: 0.002383, Train CE:0.000103, Train KL:1.551782, Val MSE:0.002160, Val CE:0.000011, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 8/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 8/1000:   3%|▎         | 1/36 [00:00<00:15,  2.22it/s]
+Epoch 8/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.00it/s]
+Epoch 8/1000:  28%|██▊       | 10/36 [00:00<00:01, 19.85it/s]
+Epoch 8/1000:  42%|████▏     | 15/36 [00:00<00:00, 26.40it/s]
+Epoch 8/1000:  56%|█████▌    | 20/36 [00:00<00:00, 31.48it/s]
+Epoch 8/1000:  72%|███████▏  | 26/36 [00:01<00:00, 37.24it/s]
+Epoch 8/1000:  86%|████████▌ | 31/36 [00:01<00:00, 39.41it/s]
+Epoch 8/1000: 100%|██████████| 36/36 [00:01<00:00, 27.70it/s]
+epoch: 7, beta = 0.010000, Train MSE: 0.002205, Train CE:0.000026, Train KL:1.491814, Val MSE:0.002509, Val CE:0.000046, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 9/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 9/1000:   3%|▎         | 1/36 [00:00<00:13,  2.69it/s]
+Epoch 9/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.63it/s]
+Epoch 9/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.82it/s]
+Epoch 9/1000:  39%|███▉      | 14/36 [00:00<00:00, 26.60it/s]
+Epoch 9/1000:  53%|█████▎    | 19/36 [00:00<00:00, 31.29it/s]
+Epoch 9/1000:  67%|██████▋   | 24/36 [00:00<00:00, 35.35it/s]
+Epoch 9/1000:  78%|███████▊  | 28/36 [00:01<00:00, 36.16it/s]
+Epoch 9/1000:  92%|█████████▏| 33/36 [00:01<00:00, 38.59it/s]
+Epoch 9/1000: 100%|██████████| 36/36 [00:01<00:00, 27.10it/s]
+epoch: 8, beta = 0.010000, Train MSE: 0.002414, Train CE:0.000050, Train KL:1.485378, Val MSE:0.002571, Val CE:0.000015, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 10/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 10/1000:   3%|▎         | 1/36 [00:00<00:12,  2.83it/s]
+Epoch 10/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.00it/s]
+Epoch 10/1000:  39%|███▉      | 14/36 [00:00<00:00, 31.76it/s]
+Epoch 10/1000:  56%|█████▌    | 20/36 [00:00<00:00, 38.29it/s]
+Epoch 10/1000:  75%|███████▌  | 27/36 [00:00<00:00, 45.66it/s]
+Epoch 10/1000:  94%|█████████▍| 34/36 [00:00<00:00, 49.83it/s]
+Epoch 10/1000: 100%|██████████| 36/36 [00:01<00:00, 35.69it/s]
+epoch: 9, beta = 0.010000, Train MSE: 0.002327, Train CE:0.000019, Train KL:1.466766, Val MSE:0.002901, Val CE:0.000152, Train ACC:1.000000, Val ACC:0.999944
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 11/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 11/1000:   3%|▎         | 1/36 [00:00<00:13,  2.65it/s]
+Epoch 11/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.98it/s]
+Epoch 11/1000:  39%|███▉      | 14/36 [00:00<00:00, 31.06it/s]
+Epoch 11/1000:  58%|█████▊    | 21/36 [00:00<00:00, 41.04it/s]
+Epoch 11/1000:  75%|███████▌  | 27/36 [00:00<00:00, 44.91it/s]
+Epoch 11/1000:  94%|█████████▍| 34/36 [00:00<00:00, 49.45it/s]
+Epoch 11/1000: 100%|██████████| 36/36 [00:01<00:00, 33.58it/s]
+epoch: 10, beta = 0.007000, Train MSE: 0.002324, Train CE:0.000098, Train KL:1.458238, Val MSE:0.002812, Val CE:0.000012, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 12/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 12/1000:   3%|▎         | 1/36 [00:00<00:17,  2.06it/s]
+Epoch 12/1000:  19%|█▉        | 7/36 [00:00<00:01, 15.04it/s]
+Epoch 12/1000:  42%|████▏     | 15/36 [00:00<00:00, 29.61it/s]
+Epoch 12/1000:  61%|██████    | 22/36 [00:00<00:00, 39.58it/s]
+Epoch 12/1000:  78%|███████▊  | 28/36 [00:00<00:00, 43.14it/s]
+Epoch 12/1000:  94%|█████████▍| 34/36 [00:01<00:00, 47.37it/s]
+Epoch 12/1000: 100%|██████████| 36/36 [00:01<00:00, 31.89it/s]
+Learning rate updated: 0.00095
+epoch: 11, beta = 0.007000, Train MSE: 0.001853, Train CE:0.000008, Train KL:1.486697, Val MSE:0.001538, Val CE:0.000176, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 13/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 13/1000:   3%|▎         | 1/36 [00:00<00:11,  3.14it/s]
+Epoch 13/1000:  19%|█▉        | 7/36 [00:00<00:01, 20.33it/s]
+Epoch 13/1000:  39%|███▉      | 14/36 [00:00<00:00, 34.22it/s]
+Epoch 13/1000:  53%|█████▎    | 19/36 [00:00<00:00, 38.11it/s]
+Epoch 13/1000:  69%|██████▉   | 25/36 [00:00<00:00, 42.36it/s]
+Epoch 13/1000:  86%|████████▌ | 31/36 [00:00<00:00, 47.03it/s]
+Epoch 13/1000: 100%|██████████| 36/36 [00:01<00:00, 34.15it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 14/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 12, beta = 0.007000, Train MSE: 0.001528, Train CE:0.000009, Train KL:1.483357, Val MSE:0.001626, Val CE:0.000035, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 14/1000:   3%|▎         | 1/36 [00:00<00:13,  2.68it/s]
+Epoch 14/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.46it/s]
+Epoch 14/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.34it/s]
+Epoch 14/1000:  53%|█████▎    | 19/36 [00:00<00:00, 37.73it/s]
+Epoch 14/1000:  72%|███████▏  | 26/36 [00:00<00:00, 45.40it/s]
+Epoch 14/1000:  92%|█████████▏| 33/36 [00:00<00:00, 50.49it/s]
+Epoch 14/1000: 100%|██████████| 36/36 [00:01<00:00, 32.91it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 15/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 13, beta = 0.007000, Train MSE: 0.001907, Train CE:0.000041, Train KL:1.560114, Val MSE:0.001804, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 15/1000:   3%|▎         | 1/36 [00:00<00:15,  2.23it/s]
+Epoch 15/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.11it/s]
+Epoch 15/1000:  39%|███▉      | 14/36 [00:00<00:00, 29.65it/s]
+Epoch 15/1000:  56%|█████▌    | 20/36 [00:00<00:00, 37.26it/s]
+Epoch 15/1000:  72%|███████▏  | 26/36 [00:00<00:00, 43.07it/s]
+Epoch 15/1000:  89%|████████▉ | 32/36 [00:00<00:00, 47.72it/s]
+Epoch 15/1000: 100%|██████████| 36/36 [00:01<00:00, 32.81it/s]
+epoch: 14, beta = 0.007000, Train MSE: 0.001523, Train CE:0.000005, Train KL:1.553206, Val MSE:0.001767, Val CE:0.000006, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 16/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 16/1000:   3%|▎         | 1/36 [00:00<00:14,  2.39it/s]
+Epoch 16/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.34it/s]
+Epoch 16/1000:  36%|███▌      | 13/36 [00:00<00:00, 27.73it/s]
+Epoch 16/1000:  50%|█████     | 18/36 [00:00<00:00, 31.51it/s]
+Epoch 16/1000:  67%|██████▋   | 24/36 [00:00<00:00, 38.33it/s]
+Epoch 16/1000:  83%|████████▎ | 30/36 [00:00<00:00, 43.77it/s]
+Epoch 16/1000: 100%|██████████| 36/36 [00:01<00:00, 31.94it/s]
+epoch: 15, beta = 0.007000, Train MSE: 0.001529, Train CE:0.000008, Train KL:1.485444, Val MSE:0.001783, Val CE:0.000028, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 17/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 17/1000:   3%|▎         | 1/36 [00:00<00:11,  2.99it/s]
+Epoch 17/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.35it/s]
+Epoch 17/1000:  28%|██▊       | 10/36 [00:00<00:01, 23.31it/s]
+Epoch 17/1000:  44%|████▍     | 16/36 [00:00<00:00, 33.26it/s]
+Epoch 17/1000:  64%|██████▍   | 23/36 [00:00<00:00, 42.70it/s]
+Epoch 17/1000:  86%|████████▌ | 31/36 [00:00<00:00, 51.94it/s]
+Epoch 17/1000: 100%|██████████| 36/36 [00:01<00:00, 33.20it/s]
+epoch: 16, beta = 0.007000, Train MSE: 0.001615, Train CE:0.000020, Train KL:1.472364, Val MSE:0.001562, Val CE:0.000005, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 18/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 18/1000:   3%|▎         | 1/36 [00:00<00:15,  2.31it/s]
+Epoch 18/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.55it/s]
+Epoch 18/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.06it/s]
+Epoch 18/1000:  39%|███▉      | 14/36 [00:00<00:00, 25.81it/s]
+Epoch 18/1000:  56%|█████▌    | 20/36 [00:00<00:00, 34.49it/s]
+Epoch 18/1000:  75%|███████▌  | 27/36 [00:00<00:00, 43.09it/s]
+Epoch 18/1000:  97%|█████████▋| 35/36 [00:01<00:00, 50.86it/s]
+Epoch 18/1000: 100%|██████████| 36/36 [00:01<00:00, 29.42it/s]
+epoch: 17, beta = 0.007000, Train MSE: 0.001689, Train CE:0.000012, Train KL:1.457443, Val MSE:0.001816, Val CE:0.000104, Train ACC:1.000000, Val ACC:0.999944
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 19/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 19/1000:   3%|▎         | 1/36 [00:00<00:14,  2.34it/s]
+Epoch 19/1000:  22%|██▏       | 8/36 [00:00<00:01, 18.89it/s]
+Epoch 19/1000:  39%|███▉      | 14/36 [00:00<00:00, 28.37it/s]
+Epoch 19/1000:  56%|█████▌    | 20/36 [00:00<00:00, 35.09it/s]
+Epoch 19/1000:  75%|███████▌  | 27/36 [00:00<00:00, 43.42it/s]
+Epoch 19/1000:  94%|█████████▍| 34/36 [00:00<00:00, 48.98it/s]
+Epoch 19/1000: 100%|██████████| 36/36 [00:01<00:00, 30.69it/s]
+epoch: 18, beta = 0.007000, Train MSE: 0.001679, Train CE:0.000171, Train KL:1.532346, Val MSE:0.001800, Val CE:0.000006, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 20/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 20/1000:   3%|▎         | 1/36 [00:00<00:12,  2.89it/s]
+Epoch 20/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.41it/s]
+Epoch 20/1000:  33%|███▎      | 12/36 [00:00<00:00, 28.17it/s]
+Epoch 20/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.55it/s]
+Epoch 20/1000:  61%|██████    | 22/36 [00:00<00:00, 37.97it/s]
+Epoch 20/1000:  81%|████████  | 29/36 [00:00<00:00, 45.82it/s]
+Epoch 20/1000: 100%|██████████| 36/36 [00:01<00:00, 34.82it/s]
+epoch: 19, beta = 0.007000, Train MSE: 0.001578, Train CE:0.000018, Train KL:1.443029, Val MSE:0.001630, Val CE:0.000011, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 21/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 21/1000:   3%|▎         | 1/36 [00:00<00:10,  3.40it/s]
+Epoch 21/1000:  19%|█▉        | 7/36 [00:00<00:01, 21.01it/s]
+Epoch 21/1000:  36%|███▌      | 13/36 [00:00<00:00, 32.53it/s]
+Epoch 21/1000:  53%|█████▎    | 19/36 [00:00<00:00, 40.71it/s]
+Epoch 21/1000:  69%|██████▉   | 25/36 [00:00<00:00, 45.14it/s]
+Epoch 21/1000:  86%|████████▌ | 31/36 [00:00<00:00, 48.84it/s]
+Epoch 21/1000: 100%|██████████| 36/36 [00:00<00:00, 36.46it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 22/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 20, beta = 0.007000, Train MSE: 0.001648, Train CE:0.000038, Train KL:1.431528, Val MSE:0.002123, Val CE:0.000022, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 22/1000:   3%|▎         | 1/36 [00:00<00:14,  2.39it/s]
+Epoch 22/1000:  22%|██▏       | 8/36 [00:00<00:01, 18.79it/s]
+Epoch 22/1000:  39%|███▉      | 14/36 [00:00<00:00, 28.65it/s]
+Epoch 22/1000:  56%|█████▌    | 20/36 [00:00<00:00, 34.98it/s]
+Epoch 22/1000:  72%|███████▏  | 26/36 [00:00<00:00, 40.42it/s]
+Epoch 22/1000:  92%|█████████▏| 33/36 [00:00<00:00, 46.97it/s]
+Epoch 22/1000: 100%|██████████| 36/36 [00:01<00:00, 31.40it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 23/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 21, beta = 0.007000, Train MSE: 0.001497, Train CE:0.000038, Train KL:1.448437, Val MSE:0.001552, Val CE:0.000011, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 23/1000:   3%|▎         | 1/36 [00:00<00:12,  2.90it/s]
+Epoch 23/1000:  22%|██▏       | 8/36 [00:00<00:01, 21.63it/s]
+Epoch 23/1000:  42%|████▏     | 15/36 [00:00<00:00, 34.24it/s]
+Epoch 23/1000:  61%|██████    | 22/36 [00:00<00:00, 43.60it/s]
+Epoch 23/1000:  78%|███████▊  | 28/36 [00:00<00:00, 47.34it/s]
+Epoch 23/1000:  94%|█████████▍| 34/36 [00:00<00:00, 49.28it/s]
+Epoch 23/1000: 100%|██████████| 36/36 [00:01<00:00, 35.39it/s]
+Learning rate updated: 0.0009025
+epoch: 22, beta = 0.007000, Train MSE: 0.001795, Train CE:0.000008, Train KL:1.437139, Val MSE:0.006184, Val CE:0.000008, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 24/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 24/1000:   3%|▎         | 1/36 [00:00<00:11,  2.94it/s]
+Epoch 24/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.37it/s]
+Epoch 24/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.81it/s]
+Epoch 24/1000:  53%|█████▎    | 19/36 [00:00<00:00, 38.68it/s]
+Epoch 24/1000:  69%|██████▉   | 25/36 [00:00<00:00, 44.65it/s]
+Epoch 24/1000:  86%|████████▌ | 31/36 [00:00<00:00, 47.80it/s]
+Epoch 24/1000: 100%|██████████| 36/36 [00:01<00:00, 35.36it/s]
+epoch: 23, beta = 0.007000, Train MSE: 0.002230, Train CE:0.000226, Train KL:1.539113, Val MSE:0.003098, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 25/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+
+Epoch 25/1000:   3%|▎         | 1/36 [00:00<00:13,  2.61it/s]
+Epoch 25/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.75it/s]
+Epoch 25/1000:  31%|███       | 11/36 [00:00<00:01, 24.71it/s]
+Epoch 25/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.40it/s]
+Epoch 25/1000:  61%|██████    | 22/36 [00:00<00:00, 37.63it/s]
+Epoch 25/1000:  78%|███████▊  | 28/36 [00:00<00:00, 43.57it/s]
+Epoch 25/1000:  97%|█████████▋| 35/36 [00:01<00:00, 50.56it/s]
+Epoch 25/1000: 100%|██████████| 36/36 [00:01<00:00, 31.68it/s]
+epoch: 24, beta = 0.007000, Train MSE: 0.001671, Train CE:0.000001, Train KL:1.709059, Val MSE:0.001695, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 26/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 26/1000:   3%|▎         | 1/36 [00:00<00:13,  2.52it/s]
+Epoch 26/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.29it/s]
+Epoch 26/1000:  31%|███       | 11/36 [00:00<00:01, 23.34it/s]
+Epoch 26/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.23it/s]
+Epoch 26/1000:  64%|██████▍   | 23/36 [00:00<00:00, 38.80it/s]
+Epoch 26/1000:  78%|███████▊  | 28/36 [00:00<00:00, 41.72it/s]
+Epoch 26/1000:  94%|█████████▍| 34/36 [00:01<00:00, 46.44it/s]
+Epoch 26/1000: 100%|██████████| 36/36 [00:01<00:00, 31.70it/s]
+epoch: 25, beta = 0.007000, Train MSE: 0.001513, Train CE:0.000054, Train KL:1.475867, Val MSE:0.001634, Val CE:0.000005, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 27/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 27/1000:   3%|▎         | 1/36 [00:00<00:12,  2.77it/s]
+Epoch 27/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.86it/s]
+Epoch 27/1000:  36%|███▌      | 13/36 [00:00<00:00, 30.30it/s]
+Epoch 27/1000:  53%|█████▎    | 19/36 [00:00<00:00, 38.34it/s]
+Epoch 27/1000:  69%|██████▉   | 25/36 [00:00<00:00, 43.42it/s]
+Epoch 27/1000:  86%|████████▌ | 31/36 [00:00<00:00, 45.51it/s]
+Epoch 27/1000: 100%|██████████| 36/36 [00:01<00:00, 34.27it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 28/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 26, beta = 0.007000, Train MSE: 0.001528, Train CE:0.000002, Train KL:1.449356, Val MSE:0.001442, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 28/1000:   3%|▎         | 1/36 [00:00<00:14,  2.50it/s]
+Epoch 28/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.55it/s]
+Epoch 28/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.42it/s]
+Epoch 28/1000:  50%|█████     | 18/36 [00:00<00:00, 32.92it/s]
+Epoch 28/1000:  69%|██████▉   | 25/36 [00:00<00:00, 42.22it/s]
+Epoch 28/1000:  86%|████████▌ | 31/36 [00:00<00:00, 45.04it/s]
+Epoch 28/1000: 100%|██████████| 36/36 [00:01<00:00, 31.08it/s]
+epoch: 27, beta = 0.007000, Train MSE: 0.001452, Train CE:0.000003, Train KL:1.478245, Val MSE:0.001712, Val CE:0.000013, Train ACC:1.000000, Val ACC:1.000000
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 29/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+
+Epoch 29/1000:   3%|▎         | 1/36 [00:00<00:12,  2.90it/s]
+Epoch 29/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.57it/s]
+Epoch 29/1000:  33%|███▎      | 12/36 [00:00<00:00, 28.89it/s]
+Epoch 29/1000:  50%|█████     | 18/36 [00:00<00:00, 37.18it/s]
+Epoch 29/1000:  67%|██████▋   | 24/36 [00:00<00:00, 41.77it/s]
+Epoch 29/1000:  81%|████████  | 29/36 [00:00<00:00, 44.02it/s]
+Epoch 29/1000: 100%|██████████| 36/36 [00:00<00:00, 50.18it/s]
+Epoch 29/1000: 100%|██████████| 36/36 [00:01<00:00, 34.52it/s]
+epoch: 28, beta = 0.007000, Train MSE: 0.001757, Train CE:0.000066, Train KL:1.403563, Val MSE:0.001981, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 30/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+
+Epoch 30/1000:   3%|▎         | 1/36 [00:00<00:11,  2.99it/s]
+Epoch 30/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.44it/s]
+Epoch 30/1000:  36%|███▌      | 13/36 [00:00<00:00, 30.41it/s]
+Epoch 30/1000:  50%|█████     | 18/36 [00:00<00:00, 35.80it/s]
+Epoch 30/1000:  64%|██████▍   | 23/36 [00:00<00:00, 38.26it/s]
+Epoch 30/1000:  81%|████████  | 29/36 [00:00<00:00, 42.71it/s]
+Epoch 30/1000: 100%|██████████| 36/36 [00:00<00:00, 49.68it/s]
+Epoch 30/1000: 100%|██████████| 36/36 [00:01<00:00, 32.06it/s]
+epoch: 29, beta = 0.007000, Train MSE: 0.001689, Train CE:0.000006, Train KL:1.485406, Val MSE:0.001436, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 31/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 31/1000:   3%|▎         | 1/36 [00:00<00:13,  2.57it/s]
+Epoch 31/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.27it/s]
+Epoch 31/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.74it/s]
+Epoch 31/1000:  50%|█████     | 18/36 [00:00<00:00, 34.35it/s]
+Epoch 31/1000:  64%|██████▍   | 23/36 [00:00<00:00, 36.86it/s]
+Epoch 31/1000:  78%|███████▊  | 28/36 [00:00<00:00, 40.33it/s]
+Epoch 31/1000:  97%|█████████▋| 35/36 [00:01<00:00, 47.94it/s]
+Epoch 31/1000: 100%|██████████| 36/36 [00:01<00:00, 32.34it/s]
+epoch: 30, beta = 0.007000, Train MSE: 0.001434, Train CE:0.000003, Train KL:1.427346, Val MSE:0.001720, Val CE:0.000007, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 32/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 32/1000:   3%|▎         | 1/36 [00:00<00:14,  2.48it/s]
+Epoch 32/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.72it/s]
+Epoch 32/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.30it/s]
+Epoch 32/1000:  53%|█████▎    | 19/36 [00:00<00:00, 37.81it/s]
+Epoch 32/1000:  69%|██████▉   | 25/36 [00:00<00:00, 41.99it/s]
+Epoch 32/1000:  86%|████████▌ | 31/36 [00:00<00:00, 45.76it/s]
+Epoch 32/1000: 100%|██████████| 36/36 [00:01<00:00, 31.43it/s]
+epoch: 31, beta = 0.007000, Train MSE: 0.001539, Train CE:0.000015, Train KL:1.407683, Val MSE:0.001771, Val CE:0.000007, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 33/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 33/1000:   3%|▎         | 1/36 [00:00<00:13,  2.61it/s]
+Epoch 33/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.75it/s]
+Epoch 33/1000:  28%|██▊       | 10/36 [00:00<00:01, 22.99it/s]
+Epoch 33/1000:  42%|████▏     | 15/36 [00:00<00:00, 29.20it/s]
+Epoch 33/1000:  56%|█████▌    | 20/36 [00:00<00:00, 34.58it/s]
+Epoch 33/1000:  69%|██████▉   | 25/36 [00:00<00:00, 35.89it/s]
+Epoch 33/1000:  83%|████████▎ | 30/36 [00:01<00:00, 38.54it/s]
+Epoch 33/1000:  97%|█████████▋| 35/36 [00:01<00:00, 40.74it/s]
+Epoch 33/1000: 100%|██████████| 36/36 [00:01<00:00, 28.08it/s]
+epoch: 32, beta = 0.007000, Train MSE: 0.001530, Train CE:0.000021, Train KL:1.386177, Val MSE:0.002546, Val CE:0.000012, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 34/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 34/1000:   3%|▎         | 1/36 [00:00<00:13,  2.58it/s]
+Epoch 34/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.56it/s]
+Epoch 34/1000:  28%|██▊       | 10/36 [00:00<00:01, 22.62it/s]
+Epoch 34/1000:  44%|████▍     | 16/36 [00:00<00:00, 32.73it/s]
+Epoch 34/1000:  58%|█████▊    | 21/36 [00:00<00:00, 36.70it/s]
+Epoch 34/1000:  72%|███████▏  | 26/36 [00:00<00:00, 38.13it/s]
+Epoch 34/1000:  86%|████████▌ | 31/36 [00:01<00:00, 41.08it/s]
+Epoch 34/1000: 100%|██████████| 36/36 [00:01<00:00, 28.61it/s]
+Learning rate updated: 0.000857375
+epoch: 33, beta = 0.007000, Train MSE: 0.001737, Train CE:0.000099, Train KL:1.416433, Val MSE:0.001518, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 35/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 35/1000:   3%|▎         | 1/36 [00:00<00:11,  3.02it/s]
+Epoch 35/1000:  14%|█▍        | 5/36 [00:00<00:02, 14.04it/s]
+Epoch 35/1000:  31%|███       | 11/36 [00:00<00:00, 26.79it/s]
+Epoch 35/1000:  47%|████▋     | 17/36 [00:00<00:00, 34.93it/s]
+Epoch 35/1000:  61%|██████    | 22/36 [00:00<00:00, 38.34it/s]
+Epoch 35/1000:  75%|███████▌  | 27/36 [00:00<00:00, 39.80it/s]
+Epoch 35/1000:  89%|████████▉ | 32/36 [00:00<00:00, 42.26it/s]
+Epoch 35/1000: 100%|██████████| 36/36 [00:01<00:00, 31.41it/s]
+epoch: 34, beta = 0.007000, Train MSE: 0.001481, Train CE:0.000005, Train KL:1.421489, Val MSE:0.001717, Val CE:0.000012, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 36/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 36/1000:   3%|▎         | 1/36 [00:00<00:13,  2.59it/s]
+Epoch 36/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.76it/s]
+Epoch 36/1000:  31%|███       | 11/36 [00:00<00:01, 23.39it/s]
+Epoch 36/1000:  44%|████▍     | 16/36 [00:00<00:00, 29.95it/s]
+Epoch 36/1000:  58%|█████▊    | 21/36 [00:00<00:00, 34.42it/s]
+Epoch 36/1000:  72%|███████▏  | 26/36 [00:00<00:00, 37.08it/s]
+Epoch 36/1000:  86%|████████▌ | 31/36 [00:01<00:00, 39.40it/s]
+Epoch 36/1000: 100%|██████████| 36/36 [00:01<00:00, 41.90it/s]
+Epoch 36/1000: 100%|██████████| 36/36 [00:01<00:00, 29.21it/s]
+epoch: 35, beta = 0.007000, Train MSE: 0.001518, Train CE:0.000014, Train KL:1.403516, Val MSE:0.001753, Val CE:0.000024, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 37/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 37/1000:   3%|▎         | 1/36 [00:00<00:13,  2.57it/s]
+Epoch 37/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.27it/s]
+Epoch 37/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.89it/s]
+Epoch 37/1000:  44%|████▍     | 16/36 [00:00<00:00, 31.27it/s]
+Epoch 37/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.28it/s]
+Epoch 37/1000:  72%|███████▏  | 26/36 [00:00<00:00, 37.55it/s]
+Epoch 37/1000:  86%|████████▌ | 31/36 [00:01<00:00, 38.35it/s]
+Epoch 37/1000: 100%|██████████| 36/36 [00:01<00:00, 41.42it/s]
+Epoch 37/1000: 100%|██████████| 36/36 [00:01<00:00, 27.99it/s]
+epoch: 36, beta = 0.007000, Train MSE: 0.001402, Train CE:0.000019, Train KL:1.359588, Val MSE:0.002177, Val CE:0.000037, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 38/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 38/1000:   3%|▎         | 1/36 [00:00<00:13,  2.58it/s]
+Epoch 38/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.85it/s]
+Epoch 38/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.18it/s]
+Epoch 38/1000:  42%|████▏     | 15/36 [00:00<00:00, 27.95it/s]
+Epoch 38/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.38it/s]
+Epoch 38/1000:  75%|███████▌  | 27/36 [00:00<00:00, 40.75it/s]
+Epoch 38/1000:  89%|████████▉ | 32/36 [00:01<00:00, 41.42it/s]
+Epoch 38/1000: 100%|██████████| 36/36 [00:01<00:00, 28.96it/s]
+epoch: 37, beta = 0.007000, Train MSE: 0.001472, Train CE:0.000029, Train KL:1.364236, Val MSE:0.001608, Val CE:0.000348, Train ACC:1.000000, Val ACC:0.999944
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 39/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 39/1000:   3%|▎         | 1/36 [00:00<00:13,  2.59it/s]
+Epoch 39/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.27it/s]
+Epoch 39/1000:  25%|██▌       | 9/36 [00:00<00:01, 19.50it/s]
+Epoch 39/1000:  39%|███▉      | 14/36 [00:00<00:00, 26.77it/s]
+Epoch 39/1000:  53%|█████▎    | 19/36 [00:00<00:00, 32.18it/s]
+Epoch 39/1000:  67%|██████▋   | 24/36 [00:00<00:00, 35.57it/s]
+Epoch 39/1000:  81%|████████  | 29/36 [00:01<00:00, 39.01it/s]
+Epoch 39/1000:  94%|█████████▍| 34/36 [00:01<00:00, 40.81it/s]
+Epoch 39/1000: 100%|██████████| 36/36 [00:01<00:00, 27.11it/s]
+epoch: 38, beta = 0.007000, Train MSE: 0.001404, Train CE:0.000043, Train KL:1.367955, Val MSE:0.001584, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 40/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 40/1000:   3%|▎         | 1/36 [00:00<00:11,  2.92it/s]
+Epoch 40/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.91it/s]
+Epoch 40/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.65it/s]
+Epoch 40/1000:  42%|████▏     | 15/36 [00:00<00:00, 28.17it/s]
+Epoch 40/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.38it/s]
+Epoch 40/1000:  75%|███████▌  | 27/36 [00:00<00:00, 40.25it/s]
+Epoch 40/1000:  89%|████████▉ | 32/36 [00:01<00:00, 42.59it/s]
+Epoch 40/1000: 100%|██████████| 36/36 [00:01<00:00, 29.35it/s]
+epoch: 39, beta = 0.007000, Train MSE: 0.001542, Train CE:0.000228, Train KL:1.386239, Val MSE:0.001901, Val CE:0.000011, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 41/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 41/1000:   3%|▎         | 1/36 [00:00<00:13,  2.68it/s]
+Epoch 41/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.53it/s]
+Epoch 41/1000:  28%|██▊       | 10/36 [00:00<00:01, 22.03it/s]
+Epoch 41/1000:  42%|████▏     | 15/36 [00:00<00:00, 28.64it/s]
+Epoch 41/1000:  56%|█████▌    | 20/36 [00:00<00:00, 32.50it/s]
+Epoch 41/1000:  69%|██████▉   | 25/36 [00:00<00:00, 35.66it/s]
+Epoch 41/1000:  83%|████████▎ | 30/36 [00:01<00:00, 37.22it/s]
+Epoch 41/1000:  97%|█████████▋| 35/36 [00:01<00:00, 39.79it/s]
+Epoch 41/1000: 100%|██████████| 36/36 [00:01<00:00, 28.07it/s]
+epoch: 40, beta = 0.007000, Train MSE: 0.001487, Train CE:0.000009, Train KL:1.354212, Val MSE:0.001346, Val CE:0.000007, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 42/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 42/1000:   3%|▎         | 1/36 [00:00<00:17,  2.05it/s]
+Epoch 42/1000:  14%|█▍        | 5/36 [00:00<00:02, 10.63it/s]
+Epoch 42/1000:  28%|██▊       | 10/36 [00:00<00:01, 19.60it/s]
+Epoch 42/1000:  42%|████▏     | 15/36 [00:00<00:00, 26.64it/s]
+Epoch 42/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.05it/s]
+Epoch 42/1000:  75%|███████▌  | 27/36 [00:01<00:00, 40.13it/s]
+Epoch 42/1000:  94%|█████████▍| 34/36 [00:01<00:00, 46.85it/s]
+Epoch 42/1000: 100%|██████████| 36/36 [00:01<00:00, 28.85it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 43/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 41, beta = 0.007000, Train MSE: 0.001364, Train CE:0.000016, Train KL:1.378657, Val MSE:0.001295, Val CE:0.000138, Train ACC:1.000000, Val ACC:0.999972
+
+Epoch 43/1000:   3%|▎         | 1/36 [00:00<00:13,  2.67it/s]
+Epoch 43/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.15it/s]
+Epoch 43/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.48it/s]
+Epoch 43/1000:  39%|███▉      | 14/36 [00:00<00:00, 26.59it/s]
+Epoch 43/1000:  53%|█████▎    | 19/36 [00:00<00:00, 31.25it/s]
+Epoch 43/1000:  64%|██████▍   | 23/36 [00:00<00:00, 32.69it/s]
+Epoch 43/1000:  75%|███████▌  | 27/36 [00:01<00:00, 33.93it/s]
+Epoch 43/1000:  89%|████████▉ | 32/36 [00:01<00:00, 36.57it/s]
+Epoch 43/1000: 100%|██████████| 36/36 [00:01<00:00, 26.93it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 44/1000:   3%|▎         | 1/36 [00:00<00:14,  2.45it/s]
+Epoch 44/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.66it/s]
+Epoch 44/1000:  25%|██▌       | 9/36 [00:00<00:01, 18.49it/s]
+Epoch 44/1000:  39%|███▉      | 14/36 [00:00<00:00, 26.33it/s]
+Epoch 44/1000:  56%|█████▌    | 20/36 [00:00<00:00, 33.73it/s]
+Epoch 44/1000:  69%|██████▉   | 25/36 [00:00<00:00, 36.67it/s]
+Epoch 44/1000:  89%|████████▉ | 32/36 [00:01<00:00, 44.97it/s]
+Epoch 44/1000: 100%|██████████| 36/36 [00:01<00:00, 29.84it/s]
+epoch: 43, beta = 0.007000, Train MSE: 0.001518, Train CE:0.000010, Train KL:1.396331, Val MSE:0.001631, Val CE:0.000026, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 45/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 45/1000:   3%|▎         | 1/36 [00:00<00:14,  2.43it/s]
+Epoch 45/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.33it/s]
+Epoch 45/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.27it/s]
+Epoch 45/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.60it/s]
+Epoch 45/1000:  61%|██████    | 22/36 [00:00<00:00, 34.16it/s]
+Epoch 45/1000:  78%|███████▊  | 28/36 [00:00<00:00, 39.73it/s]
+Epoch 45/1000:  97%|█████████▋| 35/36 [00:01<00:00, 46.20it/s]
+Epoch 45/1000: 100%|██████████| 36/36 [00:01<00:00, 29.54it/s]
+Learning rate updated: 0.0008145062499999999
+epoch: 44, beta = 0.007000, Train MSE: 0.001441, Train CE:0.000023, Train KL:1.356893, Val MSE:0.001529, Val CE:0.000077, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 46/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 46/1000:   3%|▎         | 1/36 [00:00<00:13,  2.55it/s]
+Epoch 46/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.28it/s]
+Epoch 46/1000:  31%|███       | 11/36 [00:00<00:01, 23.78it/s]
+Epoch 46/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.50it/s]
+Epoch 46/1000:  61%|██████    | 22/36 [00:00<00:00, 35.51it/s]
+Epoch 46/1000:  75%|███████▌  | 27/36 [00:00<00:00, 38.99it/s]
+Epoch 46/1000:  94%|█████████▍| 34/36 [00:01<00:00, 45.92it/s]
+Epoch 46/1000: 100%|██████████| 36/36 [00:01<00:00, 29.97it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 47/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 47/1000:   3%|▎         | 1/36 [00:00<00:13,  2.52it/s]
+Epoch 47/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.78it/s]
+Epoch 47/1000:  31%|███       | 11/36 [00:00<00:01, 23.83it/s]
+Epoch 47/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.71it/s]
+Epoch 47/1000:  61%|██████    | 22/36 [00:00<00:00, 36.72it/s]
+Epoch 47/1000:  75%|███████▌  | 27/36 [00:00<00:00, 38.08it/s]
+Epoch 47/1000:  89%|████████▉ | 32/36 [00:01<00:00, 38.15it/s]
+Epoch 47/1000: 100%|██████████| 36/36 [00:01<00:00, 28.52it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 48/1000:   3%|▎         | 1/36 [00:00<00:14,  2.34it/s]
+Epoch 48/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.71it/s]
+Epoch 48/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.27it/s]
+Epoch 48/1000:  50%|█████     | 18/36 [00:00<00:00, 33.13it/s]
+Epoch 48/1000:  67%|██████▋   | 24/36 [00:00<00:00, 36.19it/s]
+Epoch 48/1000:  81%|████████  | 29/36 [00:01<00:00, 38.34it/s]
+Epoch 48/1000:  94%|█████████▍| 34/36 [00:01<00:00, 40.85it/s]
+Epoch 48/1000: 100%|██████████| 36/36 [00:01<00:00, 29.01it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 49/1000:   3%|▎         | 1/36 [00:00<00:15,  2.26it/s]
+Epoch 49/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.36it/s]
+Epoch 49/1000:  31%|███       | 11/36 [00:00<00:01, 23.50it/s]
+Epoch 49/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.44it/s]
+Epoch 49/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.75it/s]
+Epoch 49/1000:  81%|████████  | 29/36 [00:00<00:00, 43.72it/s]
+Epoch 49/1000:  97%|█████████▋| 35/36 [00:01<00:00, 47.22it/s]
+Epoch 49/1000: 100%|██████████| 36/36 [00:01<00:00, 30.31it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 50/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 50/1000:   3%|▎         | 1/36 [00:00<00:13,  2.55it/s]
+Epoch 50/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.08it/s]
+Epoch 50/1000:  36%|███▌      | 13/36 [00:00<00:00, 27.47it/s]
+Epoch 50/1000:  50%|█████     | 18/36 [00:00<00:00, 32.77it/s]
+Epoch 50/1000:  67%|██████▋   | 24/36 [00:00<00:00, 38.95it/s]
+Epoch 50/1000:  83%|████████▎ | 30/36 [00:00<00:00, 44.09it/s]
+Epoch 50/1000: 100%|██████████| 36/36 [00:01<00:00, 46.01it/s]
+Epoch 50/1000: 100%|██████████| 36/36 [00:01<00:00, 30.72it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 51/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 51/1000:   3%|▎         | 1/36 [00:00<00:12,  2.70it/s]
+Epoch 51/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.97it/s]
+Epoch 51/1000:  28%|██▊       | 10/36 [00:00<00:01, 22.45it/s]
+Epoch 51/1000:  44%|████▍     | 16/36 [00:00<00:00, 31.99it/s]
+Epoch 51/1000:  61%|██████    | 22/36 [00:00<00:00, 38.22it/s]
+Epoch 51/1000:  78%|███████▊  | 28/36 [00:00<00:00, 43.00it/s]
+Epoch 51/1000:  97%|█████████▋| 35/36 [00:01<00:00, 48.42it/s]
+Epoch 51/1000: 100%|██████████| 36/36 [00:01<00:00, 30.84it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 52/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 52/1000:   3%|▎         | 1/36 [00:00<00:11,  2.96it/s]
+Epoch 52/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.06it/s]
+Epoch 52/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.53it/s]
+Epoch 52/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.11it/s]
+Epoch 52/1000:  64%|██████▍   | 23/36 [00:00<00:00, 37.59it/s]
+Epoch 52/1000:  81%|████████  | 29/36 [00:00<00:00, 42.73it/s]
+Epoch 52/1000: 100%|██████████| 36/36 [00:01<00:00, 48.77it/s]
+Epoch 52/1000: 100%|██████████| 36/36 [00:01<00:00, 32.89it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 53/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 53/1000:   3%|▎         | 1/36 [00:00<00:13,  2.57it/s]
+Epoch 53/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.92it/s]
+Epoch 53/1000:  31%|███       | 11/36 [00:00<00:01, 24.11it/s]
+Epoch 53/1000:  42%|████▏     | 15/36 [00:00<00:00, 25.82it/s]
+Epoch 53/1000:  56%|█████▌    | 20/36 [00:00<00:00, 30.41it/s]
+Epoch 53/1000:  67%|██████▋   | 24/36 [00:00<00:00, 32.61it/s]
+Epoch 53/1000:  83%|████████▎ | 30/36 [00:01<00:00, 39.75it/s]
+Epoch 53/1000: 100%|██████████| 36/36 [00:01<00:00, 45.00it/s]
+Epoch 53/1000: 100%|██████████| 36/36 [00:01<00:00, 28.04it/s]
+epoch: 52, beta = 0.007000, Train MSE: 0.001424, Train CE:0.000012, Train KL:1.317761, Val MSE:0.001441, Val CE:0.000065, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 54/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 54/1000:   3%|▎         | 1/36 [00:00<00:12,  2.87it/s]
+Epoch 54/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.91it/s]
+Epoch 54/1000:  31%|███       | 11/36 [00:00<00:01, 24.46it/s]
+Epoch 54/1000:  44%|████▍     | 16/36 [00:00<00:00, 29.55it/s]
+Epoch 54/1000:  56%|█████▌    | 20/36 [00:00<00:00, 29.80it/s]
+Epoch 54/1000:  69%|██████▉   | 25/36 [00:00<00:00, 33.67it/s]
+Epoch 54/1000:  86%|████████▌ | 31/36 [00:01<00:00, 39.64it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 55/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.76it/s]
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+Epoch 55/1000:  44%|████▍     | 16/36 [00:00<00:00, 28.78it/s]
+Epoch 55/1000:  58%|█████▊    | 21/36 [00:00<00:00, 33.00it/s]
+Epoch 55/1000:  72%|███████▏  | 26/36 [00:00<00:00, 37.33it/s]
+Epoch 55/1000:  89%|████████▉ | 32/36 [00:01<00:00, 43.49it/s]
+Epoch 55/1000: 100%|██████████| 36/36 [00:01<00:00, 29.29it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 56/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.49it/s]
+Epoch 56/1000:  31%|███       | 11/36 [00:00<00:01, 23.17it/s]
+Epoch 56/1000:  44%|████▍     | 16/36 [00:00<00:00, 29.16it/s]
+Epoch 56/1000:  56%|█████▌    | 20/36 [00:00<00:00, 31.11it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 59/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 59/1000:   3%|▎         | 1/36 [00:00<00:15,  2.25it/s]
+Epoch 59/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.09it/s]
+Epoch 59/1000:  31%|███       | 11/36 [00:00<00:01, 21.67it/s]
+Epoch 59/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.43it/s]
+Epoch 59/1000:  61%|██████    | 22/36 [00:00<00:00, 36.29it/s]
+Epoch 59/1000:  78%|███████▊  | 28/36 [00:00<00:00, 40.77it/s]
+Epoch 59/1000:  97%|█████████▋| 35/36 [00:01<00:00, 47.80it/s]
+Epoch 59/1000: 100%|██████████| 36/36 [00:01<00:00, 30.34it/s]
+epoch: 58, beta = 0.007000, Train MSE: 0.001421, Train CE:0.000000, Train KL:1.347118, Val MSE:0.001580, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 60/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 60/1000:   3%|▎         | 1/36 [00:00<00:13,  2.62it/s]
+Epoch 60/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.47it/s]
+Epoch 60/1000:  31%|███       | 11/36 [00:00<00:01, 23.37it/s]
+Epoch 60/1000:  44%|████▍     | 16/36 [00:00<00:00, 29.47it/s]
+Epoch 60/1000:  58%|█████▊    | 21/36 [00:00<00:00, 33.56it/s]
+Epoch 60/1000:  78%|███████▊  | 28/36 [00:00<00:00, 41.68it/s]
+Epoch 60/1000:  97%|█████████▋| 35/36 [00:01<00:00, 48.68it/s]
+Epoch 60/1000: 100%|██████████| 36/36 [00:01<00:00, 29.40it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]epoch: 59, beta = 0.007000, Train MSE: 0.001333, Train CE:0.000001, Train KL:1.316684, Val MSE:0.001476, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 61/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 61/1000:   3%|▎         | 1/36 [00:00<00:14,  2.37it/s]
+Epoch 61/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.72it/s]
+Epoch 61/1000:  31%|███       | 11/36 [00:00<00:01, 22.65it/s]
+Epoch 61/1000:  44%|████▍     | 16/36 [00:00<00:00, 29.29it/s]
+Epoch 61/1000:  61%|██████    | 22/36 [00:00<00:00, 35.90it/s]
+Epoch 61/1000:  78%|███████▊  | 28/36 [00:00<00:00, 41.38it/s]
+Epoch 61/1000:  97%|█████████▋| 35/36 [00:01<00:00, 47.98it/s]
+Epoch 61/1000: 100%|██████████| 36/36 [00:01<00:00, 30.33it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 62/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 60, beta = 0.007000, Train MSE: 0.001478, Train CE:0.000003, Train KL:1.279402, Val MSE:0.001767, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 62/1000:   3%|▎         | 1/36 [00:00<00:12,  2.69it/s]
+Epoch 62/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.15it/s]
+Epoch 62/1000:  31%|███       | 11/36 [00:00<00:01, 24.58it/s]
+Epoch 62/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.54it/s]
+Epoch 62/1000:  61%|██████    | 22/36 [00:00<00:00, 36.39it/s]
+Epoch 62/1000:  78%|███████▊  | 28/36 [00:00<00:00, 40.72it/s]
+Epoch 62/1000:  94%|█████████▍| 34/36 [00:01<00:00, 45.73it/s]
+Epoch 62/1000: 100%|██████████| 36/36 [00:01<00:00, 30.76it/s]
+epoch: 61, beta = 0.007000, Train MSE: 0.001427, Train CE:0.000004, Train KL:1.303814, Val MSE:0.001312, Val CE:0.000162, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 63/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 63/1000:   3%|▎         | 1/36 [00:00<00:12,  2.85it/s]
+Epoch 63/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.04it/s]
+Epoch 63/1000:  31%|███       | 11/36 [00:00<00:01, 24.99it/s]
+Epoch 63/1000:  47%|████▋     | 17/36 [00:00<00:00, 34.49it/s]
+Epoch 63/1000:  61%|██████    | 22/36 [00:00<00:00, 37.61it/s]
+Epoch 63/1000:  78%|███████▊  | 28/36 [00:00<00:00, 41.88it/s]
+Epoch 63/1000:  97%|█████████▋| 35/36 [00:01<00:00, 47.20it/s]
+Epoch 63/1000: 100%|██████████| 36/36 [00:01<00:00, 31.56it/s]
+epoch: 62, beta = 0.007000, Train MSE: 0.001791, Train CE:0.000113, Train KL:1.372129, Val MSE:0.002127, Val CE:0.000010, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 64/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 64/1000:   3%|▎         | 1/36 [00:00<00:13,  2.56it/s]
+Epoch 64/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.57it/s]
+Epoch 64/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.94it/s]
+Epoch 64/1000:  53%|█████▎    | 19/36 [00:00<00:00, 35.98it/s]
+Epoch 64/1000:  72%|███████▏  | 26/36 [00:00<00:00, 43.47it/s]
+Epoch 64/1000:  89%|████████▉ | 32/36 [00:00<00:00, 44.91it/s]
+Epoch 64/1000: 100%|██████████| 36/36 [00:01<00:00, 31.14it/s]
+epoch: 63, beta = 0.007000, Train MSE: 0.001724, Train CE:0.000017, Train KL:1.326118, Val MSE:0.002043, Val CE:0.000013, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 65/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 65/1000:   3%|▎         | 1/36 [00:00<00:15,  2.32it/s]
+Epoch 65/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.62it/s]
+Epoch 65/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.68it/s]
+Epoch 65/1000:  50%|█████     | 18/36 [00:00<00:00, 32.44it/s]
+Epoch 65/1000:  64%|██████▍   | 23/36 [00:00<00:00, 35.67it/s]
+Epoch 65/1000:  78%|███████▊  | 28/36 [00:00<00:00, 39.00it/s]
+Epoch 65/1000:  92%|█████████▏| 33/36 [00:01<00:00, 38.93it/s]
+Epoch 65/1000: 100%|██████████| 36/36 [00:01<00:00, 27.59it/s]
+epoch: 64, beta = 0.007000, Train MSE: 0.001418, Train CE:0.000003, Train KL:1.348843, Val MSE:0.001613, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 66/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 66/1000:   3%|▎         | 1/36 [00:00<00:13,  2.64it/s]
+Epoch 66/1000:  22%|██▏       | 8/36 [00:00<00:01, 20.63it/s]
+Epoch 66/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.19it/s]
+Epoch 66/1000:  53%|█████▎    | 19/36 [00:00<00:00, 35.57it/s]
+Epoch 66/1000:  69%|██████▉   | 25/36 [00:00<00:00, 41.33it/s]
+Epoch 66/1000:  86%|████████▌ | 31/36 [00:00<00:00, 45.64it/s]
+Epoch 66/1000: 100%|██████████| 36/36 [00:01<00:00, 31.64it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 67/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 65, beta = 0.004900, Train MSE: 0.001478, Train CE:0.000019, Train KL:1.297583, Val MSE:0.001530, Val CE:0.000022, Train ACC:1.000000, Val ACC:0.999972
+
+Epoch 67/1000:   3%|▎         | 1/36 [00:00<00:13,  2.63it/s]
+Epoch 67/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.75it/s]
+Epoch 67/1000:  28%|██▊       | 10/36 [00:00<00:01, 23.09it/s]
+Epoch 67/1000:  42%|████▏     | 15/36 [00:00<00:00, 28.97it/s]
+Epoch 67/1000:  58%|█████▊    | 21/36 [00:00<00:00, 36.27it/s]
+Epoch 67/1000:  75%|███████▌  | 27/36 [00:00<00:00, 41.19it/s]
+Epoch 67/1000:  94%|█████████▍| 34/36 [00:01<00:00, 48.56it/s]
+Epoch 67/1000: 100%|██████████| 36/36 [00:01<00:00, 31.09it/s]
+Learning rate updated: 0.0007737809374999998
+epoch: 66, beta = 0.004900, Train MSE: 0.001129, Train CE:0.000005, Train KL:1.314737, Val MSE:0.001009, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 68/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 68/1000:   3%|▎         | 1/36 [00:00<00:13,  2.52it/s]
+Epoch 68/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.97it/s]
+Epoch 68/1000:  31%|███       | 11/36 [00:00<00:01, 24.00it/s]
+Epoch 68/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.97it/s]
+Epoch 68/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.27it/s]
+Epoch 68/1000:  75%|███████▌  | 27/36 [00:00<00:00, 41.57it/s]
+Epoch 68/1000:  92%|█████████▏| 33/36 [00:01<00:00, 44.98it/s]
+Epoch 68/1000: 100%|██████████| 36/36 [00:01<00:00, 31.32it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 69/1000:   3%|▎         | 1/36 [00:00<00:14,  2.35it/s]
+Epoch 69/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.92it/s]
+Epoch 69/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.47it/s]
+Epoch 69/1000:  47%|████▋     | 17/36 [00:00<00:00, 30.00it/s]
+Epoch 69/1000:  58%|█████▊    | 21/36 [00:00<00:00, 30.71it/s]
+Epoch 69/1000:  75%|███████▌  | 27/36 [00:01<00:00, 36.84it/s]
+Epoch 69/1000:  89%|████████▉ | 32/36 [00:01<00:00, 39.92it/s]
+Epoch 69/1000: 100%|██████████| 36/36 [00:01<00:00, 28.04it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 70/1000:   3%|▎         | 1/36 [00:00<00:14,  2.35it/s]
+Epoch 70/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.96it/s]
+Epoch 70/1000:  31%|███       | 11/36 [00:00<00:01, 22.43it/s]
+Epoch 70/1000:  44%|████▍     | 16/36 [00:00<00:00, 29.02it/s]
+Epoch 70/1000:  56%|█████▌    | 20/36 [00:00<00:00, 30.63it/s]
+Epoch 70/1000:  69%|██████▉   | 25/36 [00:00<00:00, 35.47it/s]
+Epoch 70/1000:  86%|████████▌ | 31/36 [00:01<00:00, 41.91it/s]
+Epoch 70/1000: 100%|██████████| 36/36 [00:01<00:00, 28.00it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 71/1000:   3%|▎         | 1/36 [00:00<00:13,  2.55it/s]
+Epoch 71/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.39it/s]
+Epoch 71/1000:  28%|██▊       | 10/36 [00:00<00:01, 22.30it/s]
+Epoch 71/1000:  42%|████▏     | 15/36 [00:00<00:00, 28.81it/s]
+Epoch 71/1000:  56%|█████▌    | 20/36 [00:00<00:00, 32.00it/s]
+Epoch 71/1000:  72%|███████▏  | 26/36 [00:00<00:00, 38.65it/s]
+Epoch 71/1000:  89%|████████▉ | 32/36 [00:01<00:00, 43.11it/s]
+Epoch 71/1000: 100%|██████████| 36/36 [00:01<00:00, 29.99it/s]
+epoch: 70, beta = 0.004900, Train MSE: 0.000981, Train CE:0.000001, Train KL:1.417836, Val MSE:0.000992, Val CE:0.000264, Train ACC:1.000000, Val ACC:0.999944
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 72/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 72/1000:   3%|▎         | 1/36 [00:00<00:14,  2.40it/s]
+Epoch 72/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.08it/s]
+Epoch 72/1000:  31%|███       | 11/36 [00:00<00:01, 23.13it/s]
+Epoch 72/1000:  44%|████▍     | 16/36 [00:00<00:00, 29.21it/s]
+Epoch 72/1000:  56%|█████▌    | 20/36 [00:00<00:00, 30.74it/s]
+Epoch 72/1000:  72%|███████▏  | 26/36 [00:00<00:00, 37.82it/s]
+Epoch 72/1000:  89%|████████▉ | 32/36 [00:01<00:00, 42.03it/s]
+Epoch 72/1000: 100%|██████████| 36/36 [00:01<00:00, 28.86it/s]
+epoch: 71, beta = 0.004900, Train MSE: 0.000976, Train CE:0.000039, Train KL:1.375581, Val MSE:0.001091, Val CE:0.000005, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 73/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 73/1000:   3%|▎         | 1/36 [00:00<00:11,  3.03it/s]
+Epoch 73/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.54it/s]
+Epoch 73/1000:  33%|███▎      | 12/36 [00:00<00:00, 28.06it/s]
+Epoch 73/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.43it/s]
+Epoch 73/1000:  61%|██████    | 22/36 [00:00<00:00, 36.92it/s]
+Epoch 73/1000:  75%|███████▌  | 27/36 [00:00<00:00, 38.29it/s]
+Epoch 73/1000:  92%|█████████▏| 33/36 [00:01<00:00, 43.98it/s]
+Epoch 73/1000: 100%|██████████| 36/36 [00:01<00:00, 32.05it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 74/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 72, beta = 0.004900, Train MSE: 0.001119, Train CE:0.000007, Train KL:1.340615, Val MSE:0.001080, Val CE:0.000009, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 74/1000:   3%|▎         | 1/36 [00:00<00:13,  2.67it/s]
+Epoch 74/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.65it/s]
+Epoch 74/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.53it/s]
+Epoch 74/1000:  47%|████▋     | 17/36 [00:00<00:00, 30.79it/s]
+Epoch 74/1000:  64%|██████▍   | 23/36 [00:00<00:00, 36.79it/s]
+Epoch 74/1000:  78%|███████▊  | 28/36 [00:00<00:00, 39.23it/s]
+Epoch 74/1000:  94%|█████████▍| 34/36 [00:01<00:00, 43.84it/s]
+Epoch 74/1000: 100%|██████████| 36/36 [00:01<00:00, 30.08it/s]
+epoch: 73, beta = 0.004900, Train MSE: 0.000977, Train CE:0.000007, Train KL:1.323938, Val MSE:0.001015, Val CE:0.000016, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 75/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 75/1000:   3%|▎         | 1/36 [00:00<00:11,  3.02it/s]
+Epoch 75/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.95it/s]
+Epoch 75/1000:  31%|███       | 11/36 [00:00<00:00, 26.17it/s]
+Epoch 75/1000:  44%|████▍     | 16/36 [00:00<00:00, 32.35it/s]
+Epoch 75/1000:  61%|██████    | 22/36 [00:00<00:00, 38.90it/s]
+Epoch 75/1000:  78%|███████▊  | 28/36 [00:00<00:00, 43.65it/s]
+Epoch 75/1000:  97%|█████████▋| 35/36 [00:00<00:00, 51.04it/s]
+Epoch 75/1000: 100%|██████████| 36/36 [00:01<00:00, 33.09it/s]
+epoch: 74, beta = 0.004900, Train MSE: 0.000989, Train CE:0.000016, Train KL:1.324622, Val MSE:0.000895, Val CE:0.000023, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 76/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 76/1000:   3%|▎         | 1/36 [00:00<00:13,  2.59it/s]
+Epoch 76/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.96it/s]
+Epoch 76/1000:  31%|███       | 11/36 [00:00<00:01, 24.27it/s]
+Epoch 76/1000:  42%|████▏     | 15/36 [00:00<00:00, 28.42it/s]
+Epoch 76/1000:  58%|█████▊    | 21/36 [00:00<00:00, 36.06it/s]
+Epoch 76/1000:  75%|███████▌  | 27/36 [00:00<00:00, 41.17it/s]
+Epoch 76/1000:  89%|████████▉ | 32/36 [00:01<00:00, 40.38it/s]
+Epoch 76/1000: 100%|██████████| 36/36 [00:01<00:00, 29.44it/s]
+epoch: 75, beta = 0.004900, Train MSE: 0.001046, Train CE:0.000015, Train KL:1.337652, Val MSE:0.001119, Val CE:0.000076, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 77/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 77/1000:   3%|▎         | 1/36 [00:00<00:13,  2.51it/s]
+Epoch 77/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.71it/s]
+Epoch 77/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.49it/s]
+Epoch 77/1000:  47%|████▋     | 17/36 [00:00<00:00, 30.96it/s]
+Epoch 77/1000:  61%|██████    | 22/36 [00:00<00:00, 35.40it/s]
+Epoch 77/1000:  78%|███████▊  | 28/36 [00:00<00:00, 41.47it/s]
+Epoch 77/1000:  94%|█████████▍| 34/36 [00:01<00:00, 46.62it/s]
+Epoch 77/1000: 100%|██████████| 36/36 [00:01<00:00, 31.36it/s]
+epoch: 76, beta = 0.004900, Train MSE: 0.001035, Train CE:0.000014, Train KL:1.335512, Val MSE:0.001068, Val CE:0.000009, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 78/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 78/1000:   3%|▎         | 1/36 [00:00<00:17,  2.01it/s]
+Epoch 78/1000:  19%|█▉        | 7/36 [00:00<00:01, 14.82it/s]
+Epoch 78/1000:  31%|███       | 11/36 [00:00<00:01, 20.67it/s]
+Epoch 78/1000:  44%|████▍     | 16/36 [00:00<00:00, 26.65it/s]
+Epoch 78/1000:  58%|█████▊    | 21/36 [00:00<00:00, 32.48it/s]
+Epoch 78/1000:  75%|███████▌  | 27/36 [00:01<00:00, 39.41it/s]
+Epoch 78/1000:  97%|█████████▋| 35/36 [00:01<00:00, 48.58it/s]
+Epoch 78/1000: 100%|██████████| 36/36 [00:01<00:00, 28.16it/s]
+Learning rate updated: 0.0007350918906249997
+epoch: 77, beta = 0.004900, Train MSE: 0.000940, Train CE:0.000009, Train KL:1.327402, Val MSE:0.001097, Val CE:0.000009, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 79/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 79/1000:   3%|▎         | 1/36 [00:00<00:13,  2.66it/s]
+Epoch 79/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.27it/s]
+Epoch 79/1000:  31%|███       | 11/36 [00:00<00:01, 24.33it/s]
+Epoch 79/1000:  42%|████▏     | 15/36 [00:00<00:00, 28.34it/s]
+Epoch 79/1000:  53%|█████▎    | 19/36 [00:00<00:00, 31.47it/s]
+Epoch 79/1000:  69%|██████▉   | 25/36 [00:00<00:00, 39.00it/s]
+Epoch 79/1000:  86%|████████▌ | 31/36 [00:01<00:00, 43.23it/s]
+Epoch 79/1000: 100%|██████████| 36/36 [00:01<00:00, 30.93it/s]
+epoch: 78, beta = 0.004900, Train MSE: 0.001024, Train CE:0.000118, Train KL:1.322401, Val MSE:0.001031, Val CE:0.000013, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 80/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 80/1000:   3%|▎         | 1/36 [00:00<00:14,  2.45it/s]
+Epoch 80/1000:  22%|██▏       | 8/36 [00:00<00:01, 18.99it/s]
+Epoch 80/1000:  33%|███▎      | 12/36 [00:00<00:01, 23.77it/s]
+Epoch 80/1000:  44%|████▍     | 16/36 [00:00<00:00, 27.99it/s]
+Epoch 80/1000:  61%|██████    | 22/36 [00:00<00:00, 36.13it/s]
+Epoch 80/1000:  78%|███████▊  | 28/36 [00:00<00:00, 41.28it/s]
+Epoch 80/1000:  97%|█████████▋| 35/36 [00:01<00:00, 47.07it/s]
+Epoch 80/1000: 100%|██████████| 36/36 [00:01<00:00, 29.80it/s]
+epoch: 79, beta = 0.004900, Train MSE: 0.000985, Train CE:0.000033, Train KL:1.306627, Val MSE:0.001251, Val CE:0.000006, Train ACC:1.000000, Val ACC:1.000000
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 81/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+
+Epoch 81/1000:   3%|▎         | 1/36 [00:00<00:13,  2.57it/s]
+Epoch 81/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.47it/s]
+Epoch 81/1000:  31%|███       | 11/36 [00:00<00:01, 22.64it/s]
+Epoch 81/1000:  42%|████▏     | 15/36 [00:00<00:00, 27.07it/s]
+Epoch 81/1000:  58%|█████▊    | 21/36 [00:00<00:00, 34.64it/s]
+Epoch 81/1000:  75%|███████▌  | 27/36 [00:00<00:00, 41.60it/s]
+Epoch 81/1000:  94%|█████████▍| 34/36 [00:01<00:00, 47.95it/s]
+Epoch 81/1000: 100%|██████████| 36/36 [00:01<00:00, 30.44it/s]
+epoch: 80, beta = 0.004900, Train MSE: 0.000985, Train CE:0.000011, Train KL:1.316726, Val MSE:0.001132, Val CE:0.000006, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 82/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 82/1000:   3%|▎         | 1/36 [00:00<00:13,  2.52it/s]
+Epoch 82/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.43it/s]
+Epoch 82/1000:  31%|███       | 11/36 [00:00<00:01, 22.99it/s]
+Epoch 82/1000:  44%|████▍     | 16/36 [00:00<00:00, 29.91it/s]
+Epoch 82/1000:  61%|██████    | 22/36 [00:00<00:00, 36.44it/s]
+Epoch 82/1000:  75%|███████▌  | 27/36 [00:00<00:00, 39.52it/s]
+Epoch 82/1000:  92%|█████████▏| 33/36 [00:01<00:00, 44.82it/s]
+Epoch 82/1000: 100%|██████████| 36/36 [00:01<00:00, 29.71it/s]
+epoch: 81, beta = 0.004900, Train MSE: 0.001055, Train CE:0.000004, Train KL:1.304654, Val MSE:0.000922, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 83/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 83/1000:   3%|▎         | 1/36 [00:00<00:12,  2.76it/s]
+Epoch 83/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.88it/s]
+Epoch 83/1000:  28%|██▊       | 10/36 [00:00<00:01, 22.58it/s]
+Epoch 83/1000:  42%|████▏     | 15/36 [00:00<00:00, 30.11it/s]
+Epoch 83/1000:  58%|█████▊    | 21/36 [00:00<00:00, 36.89it/s]
+Epoch 83/1000:  72%|███████▏  | 26/36 [00:00<00:00, 38.94it/s]
+Epoch 83/1000:  89%|████████▉ | 32/36 [00:01<00:00, 44.47it/s]
+Epoch 83/1000: 100%|██████████| 36/36 [00:01<00:00, 31.44it/s]
+epoch: 82, beta = 0.004900, Train MSE: 0.001001, Train CE:0.000089, Train KL:1.315984, Val MSE:0.001033, Val CE:0.000005, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 84/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 84/1000:   3%|▎         | 1/36 [00:00<00:14,  2.43it/s]
+Epoch 84/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.49it/s]
+Epoch 84/1000:  28%|██▊       | 10/36 [00:00<00:01, 20.55it/s]
+Epoch 84/1000:  44%|████▍     | 16/36 [00:00<00:00, 29.66it/s]
+Epoch 84/1000:  61%|██████    | 22/36 [00:00<00:00, 36.16it/s]
+Epoch 84/1000:  78%|███████▊  | 28/36 [00:00<00:00, 41.20it/s]
+Epoch 84/1000:  92%|█████████▏| 33/36 [00:01<00:00, 41.64it/s]
+Epoch 84/1000: 100%|██████████| 36/36 [00:01<00:00, 28.22it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 85/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 83, beta = 0.004900, Train MSE: 0.001006, Train CE:0.000001, Train KL:1.341783, Val MSE:0.001150, Val CE:0.000005, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 85/1000:   3%|▎         | 1/36 [00:00<00:14,  2.49it/s]
+Epoch 85/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.99it/s]
+Epoch 85/1000:  28%|██▊       | 10/36 [00:00<00:01, 22.09it/s]
+Epoch 85/1000:  42%|████▏     | 15/36 [00:00<00:00, 29.42it/s]
+Epoch 85/1000:  58%|█████▊    | 21/36 [00:00<00:00, 37.05it/s]
+Epoch 85/1000:  78%|███████▊  | 28/36 [00:00<00:00, 43.71it/s]
+Epoch 85/1000:  92%|█████████▏| 33/36 [00:01<00:00, 40.08it/s]
+Epoch 85/1000: 100%|██████████| 36/36 [00:01<00:00, 28.65it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 86/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 84, beta = 0.004900, Train MSE: 0.000924, Train CE:0.000080, Train KL:1.318024, Val MSE:0.000991, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 86/1000:   3%|▎         | 1/36 [00:00<00:13,  2.59it/s]
+Epoch 86/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.43it/s]
+Epoch 86/1000:  25%|██▌       | 9/36 [00:00<00:01, 19.64it/s]
+Epoch 86/1000:  39%|███▉      | 14/36 [00:00<00:00, 27.94it/s]
+Epoch 86/1000:  53%|█████▎    | 19/36 [00:00<00:00, 34.12it/s]
+Epoch 86/1000:  69%|██████▉   | 25/36 [00:00<00:00, 39.66it/s]
+Epoch 86/1000:  86%|████████▌ | 31/36 [00:01<00:00, 43.20it/s]
+Epoch 86/1000: 100%|██████████| 36/36 [00:01<00:00, 39.33it/s]
+Epoch 86/1000: 100%|██████████| 36/36 [00:01<00:00, 28.29it/s]
+epoch: 85, beta = 0.004900, Train MSE: 0.000939, Train CE:0.000006, Train KL:1.293855, Val MSE:0.001134, Val CE:0.000214, Train ACC:1.000000, Val ACC:0.999944
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 87/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 87/1000:   3%|▎         | 1/36 [00:00<00:13,  2.63it/s]
+Epoch 87/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.24it/s]
+Epoch 87/1000:  25%|██▌       | 9/36 [00:00<00:01, 19.19it/s]
+Epoch 87/1000:  42%|████▏     | 15/36 [00:00<00:00, 28.90it/s]
+Epoch 87/1000:  53%|█████▎    | 19/36 [00:00<00:00, 31.59it/s]
+Epoch 87/1000:  72%|███████▏  | 26/36 [00:00<00:00, 39.79it/s]
+Epoch 87/1000:  86%|████████▌ | 31/36 [00:01<00:00, 41.92it/s]
+Epoch 87/1000: 100%|██████████| 36/36 [00:01<00:00, 42.28it/s]
+Epoch 87/1000: 100%|██████████| 36/36 [00:01<00:00, 28.04it/s]
+epoch: 86, beta = 0.004900, Train MSE: 0.001126, Train CE:0.000011, Train KL:1.338971, Val MSE:0.001115, Val CE:0.000021, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 88/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 88/1000:   3%|▎         | 1/36 [00:00<00:12,  2.89it/s]
+Epoch 88/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.98it/s]
+Epoch 88/1000:  25%|██▌       | 9/36 [00:00<00:01, 19.61it/s]
+Epoch 88/1000:  36%|███▌      | 13/36 [00:00<00:00, 25.00it/s]
+Epoch 88/1000:  50%|█████     | 18/36 [00:00<00:00, 30.40it/s]
+Epoch 88/1000:  64%|██████▍   | 23/36 [00:00<00:00, 35.01it/s]
+Epoch 88/1000:  83%|████████▎ | 30/36 [00:01<00:00, 42.34it/s]
+Epoch 88/1000: 100%|██████████| 36/36 [00:01<00:00, 46.18it/s]
+Epoch 88/1000: 100%|██████████| 36/36 [00:01<00:00, 29.10it/s]
+epoch: 87, beta = 0.004900, Train MSE: 0.000922, Train CE:0.000011, Train KL:1.314447, Val MSE:0.001175, Val CE:0.000043, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 89/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 89/1000:   3%|▎         | 1/36 [00:00<00:14,  2.44it/s]
+Epoch 89/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.48it/s]
+Epoch 89/1000:  22%|██▏       | 8/36 [00:00<00:01, 15.88it/s]
+Epoch 89/1000:  33%|███▎      | 12/36 [00:00<00:01, 21.04it/s]
+Epoch 89/1000:  44%|████▍     | 16/36 [00:00<00:00, 24.28it/s]
+Epoch 89/1000:  56%|█████▌    | 20/36 [00:01<00:00, 26.45it/s]
+Epoch 89/1000:  64%|██████▍   | 23/36 [00:01<00:00, 27.05it/s]
+Epoch 89/1000:  75%|███████▌  | 27/36 [00:01<00:00, 28.34it/s]
+Epoch 89/1000:  86%|████████▌ | 31/36 [00:01<00:00, 30.77it/s]
+Epoch 89/1000:  97%|█████████▋| 35/36 [00:01<00:00, 31.72it/s]
+Epoch 89/1000: 100%|██████████| 36/36 [00:01<00:00, 22.56it/s]
+Learning rate updated: 0.0006983372960937497
+epoch: 88, beta = 0.004900, Train MSE: 0.002923, Train CE:0.000101, Train KL:1.409027, Val MSE:0.002237, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 90/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 90/1000:   3%|▎         | 1/36 [00:00<00:12,  2.74it/s]
+Epoch 90/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.55it/s]
+Epoch 90/1000:  25%|██▌       | 9/36 [00:00<00:01, 18.67it/s]
+Epoch 90/1000:  36%|███▌      | 13/36 [00:00<00:00, 23.07it/s]
+Epoch 90/1000:  47%|████▋     | 17/36 [00:00<00:00, 26.79it/s]
+Epoch 90/1000:  58%|█████▊    | 21/36 [00:00<00:00, 28.80it/s]
+Epoch 90/1000:  69%|██████▉   | 25/36 [00:01<00:00, 29.22it/s]
+Epoch 90/1000:  81%|████████  | 29/36 [00:01<00:00, 30.17it/s]
+Epoch 90/1000:  92%|█████████▏| 33/36 [00:01<00:00, 31.80it/s]
+Epoch 90/1000: 100%|██████████| 36/36 [00:01<00:00, 23.84it/s]
+epoch: 89, beta = 0.004900, Train MSE: 0.001430, Train CE:0.000001, Train KL:1.527853, Val MSE:0.001206, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 91/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 91/1000:   3%|▎         | 1/36 [00:00<00:13,  2.68it/s]
+Epoch 91/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.98it/s]
+Epoch 91/1000:  25%|██▌       | 9/36 [00:00<00:01, 18.59it/s]
+Epoch 91/1000:  36%|███▌      | 13/36 [00:00<00:00, 23.83it/s]
+Epoch 91/1000:  47%|████▋     | 17/36 [00:00<00:00, 25.92it/s]
+Epoch 91/1000:  58%|█████▊    | 21/36 [00:01<00:00, 26.62it/s]
+Epoch 91/1000:  69%|██████▉   | 25/36 [00:01<00:00, 28.69it/s]
+Epoch 91/1000:  81%|████████  | 29/36 [00:01<00:00, 31.29it/s]
+Epoch 91/1000:  92%|█████████▏| 33/36 [00:01<00:00, 32.58it/s]
+Epoch 91/1000: 100%|██████████| 36/36 [00:01<00:00, 23.69it/s]
+epoch: 90, beta = 0.004900, Train MSE: 0.000939, Train CE:0.000008, Train KL:1.417660, Val MSE:0.000998, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 92/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 92/1000:   3%|▎         | 1/36 [00:00<00:11,  3.13it/s]
+Epoch 92/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.50it/s]
+Epoch 92/1000:  22%|██▏       | 8/36 [00:00<00:01, 18.27it/s]
+Epoch 92/1000:  31%|███       | 11/36 [00:00<00:01, 21.31it/s]
+Epoch 92/1000:  42%|████▏     | 15/36 [00:00<00:00, 24.79it/s]
+Epoch 92/1000:  53%|█████▎    | 19/36 [00:00<00:00, 27.87it/s]
+Epoch 92/1000:  64%|██████▍   | 23/36 [00:01<00:00, 30.02it/s]
+Epoch 92/1000:  75%|███████▌  | 27/36 [00:01<00:00, 30.77it/s]
+Epoch 92/1000:  89%|████████▉ | 32/36 [00:01<00:00, 33.81it/s]
+Epoch 92/1000: 100%|██████████| 36/36 [00:01<00:00, 31.46it/s]
+Epoch 92/1000: 100%|██████████| 36/36 [00:01<00:00, 24.51it/s]
+epoch: 91, beta = 0.004900, Train MSE: 0.000972, Train CE:0.000006, Train KL:1.366214, Val MSE:0.000975, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 93/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 93/1000:   3%|▎         | 1/36 [00:00<00:13,  2.68it/s]
+Epoch 93/1000:  11%|█         | 4/36 [00:00<00:03, 10.10it/s]
+Epoch 93/1000:  19%|█▉        | 7/36 [00:00<00:01, 15.17it/s]
+Epoch 93/1000:  31%|███       | 11/36 [00:00<00:01, 21.00it/s]
+Epoch 93/1000:  44%|████▍     | 16/36 [00:00<00:00, 26.93it/s]
+Epoch 93/1000:  56%|█████▌    | 20/36 [00:00<00:00, 28.44it/s]
+Epoch 93/1000:  67%|██████▋   | 24/36 [00:01<00:00, 30.09it/s]
+Epoch 93/1000:  78%|███████▊  | 28/36 [00:01<00:00, 29.92it/s]
+Epoch 93/1000:  89%|████████▉ | 32/36 [00:01<00:00, 30.26it/s]
+Epoch 93/1000: 100%|██████████| 36/36 [00:01<00:00, 32.16it/s]
+Epoch 93/1000: 100%|██████████| 36/36 [00:01<00:00, 23.36it/s]
+epoch: 92, beta = 0.004900, Train MSE: 0.000956, Train CE:0.000001, Train KL:1.339524, Val MSE:0.000892, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 94/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 94/1000:   3%|▎         | 1/36 [00:00<00:11,  3.09it/s]
+Epoch 94/1000:  11%|█         | 4/36 [00:00<00:02, 11.04it/s]
+Epoch 94/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.67it/s]
+Epoch 94/1000:  31%|███       | 11/36 [00:00<00:01, 22.11it/s]
+Epoch 94/1000:  42%|████▏     | 15/36 [00:00<00:00, 25.76it/s]
+Epoch 94/1000:  53%|█████▎    | 19/36 [00:00<00:00, 28.63it/s]
+Epoch 94/1000:  64%|██████▍   | 23/36 [00:01<00:00, 30.39it/s]
+Epoch 94/1000:  75%|███████▌  | 27/36 [00:01<00:00, 29.85it/s]
+Epoch 94/1000:  86%|████████▌ | 31/36 [00:01<00:00, 30.72it/s]
+Epoch 94/1000:  97%|█████████▋| 35/36 [00:01<00:00, 32.54it/s]
+Epoch 94/1000: 100%|██████████| 36/36 [00:01<00:00, 24.37it/s]
+epoch: 93, beta = 0.004900, Train MSE: 0.000895, Train CE:0.000003, Train KL:1.330056, Val MSE:0.001089, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 95/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 95/1000:   3%|▎         | 1/36 [00:00<00:13,  2.63it/s]
+Epoch 95/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.16it/s]
+Epoch 95/1000:  22%|██▏       | 8/36 [00:00<00:01, 16.82it/s]
+Epoch 95/1000:  31%|███       | 11/36 [00:00<00:01, 20.35it/s]
+Epoch 95/1000:  42%|████▏     | 15/36 [00:00<00:00, 25.25it/s]
+Epoch 95/1000:  53%|█████▎    | 19/36 [00:00<00:00, 27.80it/s]
+Epoch 95/1000:  64%|██████▍   | 23/36 [00:01<00:00, 29.40it/s]
+Epoch 95/1000:  75%|███████▌  | 27/36 [00:01<00:00, 29.95it/s]
+Epoch 95/1000:  86%|████████▌ | 31/36 [00:01<00:00, 31.26it/s]
+Epoch 95/1000:  97%|█████████▋| 35/36 [00:01<00:00, 31.30it/s]
+Epoch 95/1000: 100%|██████████| 36/36 [00:01<00:00, 23.13it/s]
+epoch: 94, beta = 0.004900, Train MSE: 0.000945, Train CE:0.000004, Train KL:1.327605, Val MSE:0.000879, Val CE:0.000006, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 96/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 96/1000:   3%|▎         | 1/36 [00:00<00:12,  2.76it/s]
+Epoch 96/1000:  11%|█         | 4/36 [00:00<00:03, 10.38it/s]
+Epoch 96/1000:  22%|██▏       | 8/36 [00:00<00:01, 18.83it/s]
+Epoch 96/1000:  33%|███▎      | 12/36 [00:00<00:01, 23.75it/s]
+Epoch 96/1000:  44%|████▍     | 16/36 [00:00<00:00, 26.43it/s]
+Epoch 96/1000:  56%|█████▌    | 20/36 [00:00<00:00, 28.22it/s]
+Epoch 96/1000:  67%|██████▋   | 24/36 [00:01<00:00, 28.19it/s]
+Epoch 96/1000:  78%|███████▊  | 28/36 [00:01<00:00, 28.68it/s]
+Epoch 96/1000:  89%|████████▉ | 32/36 [00:01<00:00, 30.75it/s]
+Epoch 96/1000: 100%|██████████| 36/36 [00:01<00:00, 32.90it/s]
+Epoch 96/1000: 100%|██████████| 36/36 [00:01<00:00, 23.94it/s]
+epoch: 95, beta = 0.004900, Train MSE: 0.000917, Train CE:0.000011, Train KL:1.291840, Val MSE:0.000982, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 97/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 97/1000:   3%|▎         | 1/36 [00:00<00:13,  2.67it/s]
+Epoch 97/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.73it/s]
+Epoch 97/1000:  25%|██▌       | 9/36 [00:00<00:01, 18.80it/s]
+Epoch 97/1000:  36%|███▌      | 13/36 [00:00<00:00, 23.54it/s]
+Epoch 97/1000:  44%|████▍     | 16/36 [00:00<00:00, 24.42it/s]
+Epoch 97/1000:  53%|█████▎    | 19/36 [00:00<00:00, 24.86it/s]
+Epoch 97/1000:  61%|██████    | 22/36 [00:01<00:00, 25.70it/s]
+Epoch 97/1000:  72%|███████▏  | 26/36 [00:01<00:00, 28.47it/s]
+Epoch 97/1000:  83%|████████▎ | 30/36 [00:01<00:00, 31.50it/s]
+Epoch 97/1000:  94%|█████████▍| 34/36 [00:01<00:00, 31.12it/s]
+Epoch 97/1000: 100%|██████████| 36/36 [00:01<00:00, 22.07it/s]
+epoch: 96, beta = 0.004900, Train MSE: 0.000987, Train CE:0.000001, Train KL:1.291236, Val MSE:0.001006, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 98/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 98/1000:   3%|▎         | 1/36 [00:00<00:12,  2.91it/s]
+Epoch 98/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.84it/s]
+Epoch 98/1000:  22%|██▏       | 8/36 [00:00<00:01, 17.20it/s]
+Epoch 98/1000:  31%|███       | 11/36 [00:00<00:01, 20.31it/s]
+Epoch 98/1000:  39%|███▉      | 14/36 [00:00<00:00, 22.89it/s]
+Epoch 98/1000:  50%|█████     | 18/36 [00:00<00:00, 26.92it/s]
+Epoch 98/1000:  61%|██████    | 22/36 [00:01<00:00, 30.28it/s]
+Epoch 98/1000:  72%|███████▏  | 26/36 [00:01<00:00, 32.12it/s]
+Epoch 98/1000:  83%|████████▎ | 30/36 [00:01<00:00, 32.02it/s]
+Epoch 98/1000:  94%|█████████▍| 34/36 [00:01<00:00, 31.54it/s]
+Epoch 98/1000: 100%|██████████| 36/36 [00:01<00:00, 23.70it/s]
+epoch: 97, beta = 0.004900, Train MSE: 0.000900, Train CE:0.000011, Train KL:1.280294, Val MSE:0.000876, Val CE:0.000140, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 99/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 99/1000:   3%|▎         | 1/36 [00:00<00:12,  2.82it/s]
+Epoch 99/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.46it/s]
+Epoch 99/1000:  25%|██▌       | 9/36 [00:00<00:01, 19.27it/s]
+Epoch 99/1000:  36%|███▌      | 13/36 [00:00<00:00, 24.83it/s]
+Epoch 99/1000:  47%|████▋     | 17/36 [00:00<00:00, 27.79it/s]
+Epoch 99/1000:  58%|█████▊    | 21/36 [00:00<00:00, 30.68it/s]
+Epoch 99/1000:  69%|██████▉   | 25/36 [00:01<00:00, 30.81it/s]
+Epoch 99/1000:  81%|████████  | 29/36 [00:01<00:00, 30.37it/s]
+Epoch 99/1000:  92%|█████████▏| 33/36 [00:01<00:00, 32.11it/s]
+Epoch 99/1000: 100%|██████████| 36/36 [00:01<00:00, 24.02it/s]
+epoch: 98, beta = 0.004900, Train MSE: 0.000940, Train CE:0.000012, Train KL:1.282359, Val MSE:0.000958, Val CE:0.000009, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 100/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 100/1000:   3%|▎         | 1/36 [00:00<00:14,  2.39it/s]
+Epoch 100/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.50it/s]
+Epoch 100/1000:  28%|██▊       | 10/36 [00:00<00:01, 19.95it/s]
+Epoch 100/1000:  42%|████▏     | 15/36 [00:00<00:00, 26.38it/s]
+Epoch 100/1000:  56%|█████▌    | 20/36 [00:00<00:00, 30.78it/s]
+Epoch 100/1000:  69%|██████▉   | 25/36 [00:01<00:00, 33.63it/s]
+Epoch 100/1000:  83%|████████▎ | 30/36 [00:01<00:00, 37.11it/s]
+Epoch 100/1000:  97%|█████████▋| 35/36 [00:01<00:00, 37.58it/s]
+Epoch 100/1000: 100%|██████████| 36/36 [00:01<00:00, 26.02it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 101/1000:   0%|          | 0/36 [00:00<?, ?it/s]Learning rate updated: 0.0006634204312890621
+epoch: 99, beta = 0.004900, Train MSE: 0.000898, Train CE:0.000007, Train KL:1.304612, Val MSE:0.001021, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 101/1000:   3%|▎         | 1/36 [00:00<00:12,  2.83it/s]
+Epoch 101/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.63it/s]
+Epoch 101/1000:  22%|██▏       | 8/36 [00:00<00:01, 17.38it/s]
+Epoch 101/1000:  33%|███▎      | 12/36 [00:00<00:01, 22.17it/s]
+Epoch 101/1000:  44%|████▍     | 16/36 [00:00<00:00, 26.05it/s]
+Epoch 101/1000:  56%|█████▌    | 20/36 [00:00<00:00, 27.32it/s]
+Epoch 101/1000:  67%|██████▋   | 24/36 [00:01<00:00, 29.23it/s]
+Epoch 101/1000:  78%|███████▊  | 28/36 [00:01<00:00, 29.05it/s]
+Epoch 101/1000:  89%|████████▉ | 32/36 [00:01<00:00, 31.25it/s]
+Epoch 101/1000: 100%|██████████| 36/36 [00:01<00:00, 33.37it/s]
+Epoch 101/1000: 100%|██████████| 36/36 [00:01<00:00, 23.62it/s]
+epoch: 100, beta = 0.004900, Train MSE: 0.000858, Train CE:0.000006, Train KL:1.282304, Val MSE:0.000931, Val CE:0.000210, Train ACC:1.000000, Val ACC:0.999944
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 102/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 102/1000:   3%|▎         | 1/36 [00:00<00:13,  2.65it/s]
+Epoch 102/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.42it/s]
+Epoch 102/1000:  22%|██▏       | 8/36 [00:00<00:01, 16.61it/s]
+Epoch 102/1000:  33%|███▎      | 12/36 [00:00<00:01, 21.49it/s]
+Epoch 102/1000:  44%|████▍     | 16/36 [00:00<00:00, 25.22it/s]
+Epoch 102/1000:  56%|█████▌    | 20/36 [00:00<00:00, 27.75it/s]
+Epoch 102/1000:  67%|██████▋   | 24/36 [00:01<00:00, 30.34it/s]
+Epoch 102/1000:  81%|████████  | 29/36 [00:01<00:00, 34.01it/s]
+Epoch 102/1000:  94%|█████████▍| 34/36 [00:01<00:00, 35.81it/s]
+Epoch 102/1000: 100%|██████████| 36/36 [00:01<00:00, 24.56it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 103/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 101, beta = 0.004900, Train MSE: 0.000977, Train CE:0.000021, Train KL:1.252022, Val MSE:0.001043, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 103/1000:   3%|▎         | 1/36 [00:00<00:13,  2.56it/s]
+Epoch 103/1000:  11%|█         | 4/36 [00:00<00:03,  9.78it/s]
+Epoch 103/1000:  19%|█▉        | 7/36 [00:00<00:01, 15.13it/s]
+Epoch 103/1000:  31%|███       | 11/36 [00:00<00:01, 21.09it/s]
+Epoch 103/1000:  39%|███▉      | 14/36 [00:00<00:00, 23.35it/s]
+Epoch 103/1000:  50%|█████     | 18/36 [00:00<00:00, 27.54it/s]
+Epoch 103/1000:  61%|██████    | 22/36 [00:01<00:00, 30.81it/s]
+Epoch 103/1000:  72%|███████▏  | 26/36 [00:01<00:00, 30.81it/s]
+Epoch 103/1000:  83%|████████▎ | 30/36 [00:01<00:00, 31.21it/s]
+Epoch 103/1000:  94%|█████████▍| 34/36 [00:01<00:00, 33.54it/s]
+Epoch 103/1000: 100%|██████████| 36/36 [00:01<00:00, 23.59it/s]
+epoch: 102, beta = 0.004900, Train MSE: 0.000870, Train CE:0.000008, Train KL:1.265436, Val MSE:0.001006, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 104/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 104/1000:   3%|▎         | 1/36 [00:00<00:15,  2.29it/s]
+Epoch 104/1000:  11%|█         | 4/36 [00:00<00:03,  9.06it/s]
+Epoch 104/1000:  22%|██▏       | 8/36 [00:00<00:01, 16.33it/s]
+Epoch 104/1000:  33%|███▎      | 12/36 [00:00<00:01, 21.98it/s]
+Epoch 104/1000:  44%|████▍     | 16/36 [00:00<00:00, 25.99it/s]
+Epoch 104/1000:  56%|█████▌    | 20/36 [00:00<00:00, 28.42it/s]
+Epoch 104/1000:  67%|██████▋   | 24/36 [00:01<00:00, 29.54it/s]
+Epoch 104/1000:  81%|████████  | 29/36 [00:01<00:00, 33.17it/s]
+Epoch 104/1000:  92%|█████████▏| 33/36 [00:01<00:00, 34.05it/s]
+Epoch 104/1000: 100%|██████████| 36/36 [00:01<00:00, 23.46it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 105/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 103, beta = 0.004900, Train MSE: 0.001047, Train CE:0.000004, Train KL:1.250387, Val MSE:0.001035, Val CE:0.000007, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 105/1000:   3%|▎         | 1/36 [00:00<00:13,  2.51it/s]
+Epoch 105/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.88it/s]
+Epoch 105/1000:  25%|██▌       | 9/36 [00:00<00:01, 18.71it/s]
+Epoch 105/1000:  36%|███▌      | 13/36 [00:00<00:00, 23.63it/s]
+Epoch 105/1000:  47%|████▋     | 17/36 [00:00<00:00, 26.94it/s]
+Epoch 105/1000:  58%|█████▊    | 21/36 [00:00<00:00, 28.41it/s]
+Epoch 105/1000:  69%|██████▉   | 25/36 [00:01<00:00, 31.06it/s]
+Epoch 105/1000:  83%|████████▎ | 30/36 [00:01<00:00, 33.95it/s]
+Epoch 105/1000:  94%|█████████▍| 34/36 [00:01<00:00, 34.58it/s]
+Epoch 105/1000: 100%|██████████| 36/36 [00:01<00:00, 24.25it/s]
+epoch: 104, beta = 0.004900, Train MSE: 0.001004, Train CE:0.000012, Train KL:1.300444, Val MSE:0.000784, Val CE:0.000009, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 106/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 106/1000:   3%|▎         | 1/36 [00:00<00:13,  2.65it/s]
+Epoch 106/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.63it/s]
+Epoch 106/1000:  25%|██▌       | 9/36 [00:00<00:01, 19.61it/s]
+Epoch 106/1000:  36%|███▌      | 13/36 [00:00<00:00, 25.13it/s]
+Epoch 106/1000:  47%|████▋     | 17/36 [00:00<00:00, 27.35it/s]
+Epoch 106/1000:  58%|█████▊    | 21/36 [00:00<00:00, 29.89it/s]
+Epoch 106/1000:  69%|██████▉   | 25/36 [00:01<00:00, 32.15it/s]
+Epoch 106/1000:  81%|████████  | 29/36 [00:01<00:00, 34.26it/s]
+Epoch 106/1000:  92%|█████████▏| 33/36 [00:01<00:00, 35.18it/s]
+Epoch 106/1000: 100%|██████████| 36/36 [00:01<00:00, 24.77it/s]
+epoch: 105, beta = 0.004900, Train MSE: 0.000854, Train CE:0.000015, Train KL:1.270008, Val MSE:0.000938, Val CE:0.000061, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 107/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 107/1000:   3%|▎         | 1/36 [00:00<00:13,  2.51it/s]
+Epoch 107/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.33it/s]
+Epoch 107/1000:  25%|██▌       | 9/36 [00:00<00:01, 18.98it/s]
+Epoch 107/1000:  36%|███▌      | 13/36 [00:00<00:01, 22.86it/s]
+Epoch 107/1000:  50%|█████     | 18/36 [00:00<00:00, 28.28it/s]
+Epoch 107/1000:  64%|██████▍   | 23/36 [00:00<00:00, 32.52it/s]
+Epoch 107/1000:  75%|███████▌  | 27/36 [00:01<00:00, 34.06it/s]
+Epoch 107/1000:  86%|████████▌ | 31/36 [00:01<00:00, 33.97it/s]
+Epoch 107/1000:  97%|█████████▋| 35/36 [00:01<00:00, 32.81it/s]
+Epoch 107/1000: 100%|██████████| 36/36 [00:01<00:00, 24.95it/s]
+epoch: 106, beta = 0.004900, Train MSE: 0.000934, Train CE:0.000014, Train KL:1.265881, Val MSE:0.001049, Val CE:0.000360, Train ACC:1.000000, Val ACC:0.999944
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 108/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 108/1000:   3%|▎         | 1/36 [00:00<00:14,  2.45it/s]
+Epoch 108/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.35it/s]
+Epoch 108/1000:  25%|██▌       | 9/36 [00:00<00:01, 18.13it/s]
+Epoch 108/1000:  36%|███▌      | 13/36 [00:00<00:01, 22.58it/s]
+Epoch 108/1000:  47%|████▋     | 17/36 [00:00<00:00, 26.45it/s]
+Epoch 108/1000:  61%|██████    | 22/36 [00:01<00:00, 31.04it/s]
+Epoch 108/1000:  75%|███████▌  | 27/36 [00:01<00:00, 34.48it/s]
+Epoch 108/1000:  89%|████████▉ | 32/36 [00:01<00:00, 36.08it/s]
+Epoch 108/1000: 100%|██████████| 36/36 [00:01<00:00, 34.48it/s]
+Epoch 108/1000: 100%|██████████| 36/36 [00:01<00:00, 24.95it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 109/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 107, beta = 0.004900, Train MSE: 0.000922, Train CE:0.000010, Train KL:1.245418, Val MSE:0.001178, Val CE:0.000034, Train ACC:1.000000, Val ACC:0.999972
+
+Epoch 109/1000:   3%|▎         | 1/36 [00:00<00:14,  2.48it/s]
+Epoch 109/1000:  11%|█         | 4/36 [00:00<00:03,  9.51it/s]
+Epoch 109/1000:  19%|█▉        | 7/36 [00:00<00:01, 14.73it/s]
+Epoch 109/1000:  31%|███       | 11/36 [00:00<00:01, 20.23it/s]
+Epoch 109/1000:  42%|████▏     | 15/36 [00:00<00:00, 25.32it/s]
+Epoch 109/1000:  53%|█████▎    | 19/36 [00:00<00:00, 28.14it/s]
+Epoch 109/1000:  67%|██████▋   | 24/36 [00:01<00:00, 32.23it/s]
+Epoch 109/1000:  78%|███████▊  | 28/36 [00:01<00:00, 33.04it/s]
+Epoch 109/1000:  89%|████████▉ | 32/36 [00:01<00:00, 31.37it/s]
+Epoch 109/1000: 100%|██████████| 36/36 [00:01<00:00, 31.23it/s]
+Epoch 109/1000: 100%|██████████| 36/36 [00:01<00:00, 23.44it/s]
+epoch: 108, beta = 0.004900, Train MSE: 0.001002, Train CE:0.000050, Train KL:1.297647, Val MSE:0.000840, Val CE:0.000010, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 110/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 110/1000:   3%|▎         | 1/36 [00:00<00:14,  2.39it/s]
+Epoch 110/1000:  11%|█         | 4/36 [00:00<00:03,  9.38it/s]
+Epoch 110/1000:  22%|██▏       | 8/36 [00:00<00:01, 16.35it/s]
+Epoch 110/1000:  33%|███▎      | 12/36 [00:00<00:01, 20.71it/s]
+Epoch 110/1000:  44%|████▍     | 16/36 [00:00<00:00, 24.12it/s]
+Epoch 110/1000:  56%|█████▌    | 20/36 [00:01<00:00, 26.38it/s]
+Epoch 110/1000:  67%|██████▋   | 24/36 [00:01<00:00, 28.43it/s]
+Epoch 110/1000:  78%|███████▊  | 28/36 [00:01<00:00, 30.62it/s]
+Epoch 110/1000:  89%|████████▉ | 32/36 [00:01<00:00, 32.79it/s]
+Epoch 110/1000: 100%|██████████| 36/36 [00:01<00:00, 33.35it/s]
+Epoch 110/1000: 100%|██████████| 36/36 [00:01<00:00, 23.39it/s]
+epoch: 109, beta = 0.004900, Train MSE: 0.000873, Train CE:0.000005, Train KL:1.271998, Val MSE:0.000951, Val CE:0.000006, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 111/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 111/1000:   3%|▎         | 1/36 [00:00<00:15,  2.32it/s]
+Epoch 111/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.45it/s]
+Epoch 111/1000:  25%|██▌       | 9/36 [00:00<00:01, 18.21it/s]
+Epoch 111/1000:  33%|███▎      | 12/36 [00:00<00:01, 20.41it/s]
+Epoch 111/1000:  42%|████▏     | 15/36 [00:00<00:00, 22.39it/s]
+Epoch 111/1000:  53%|█████▎    | 19/36 [00:00<00:00, 25.96it/s]
+Epoch 111/1000:  64%|██████▍   | 23/36 [00:01<00:00, 29.46it/s]
+Epoch 111/1000:  75%|███████▌  | 27/36 [00:01<00:00, 31.94it/s]
+Epoch 111/1000:  86%|████████▌ | 31/36 [00:01<00:00, 31.95it/s]
+Epoch 111/1000:  97%|█████████▋| 35/36 [00:01<00:00, 29.94it/s]
+Epoch 111/1000: 100%|██████████| 36/36 [00:01<00:00, 22.75it/s]
+Learning rate updated: 0.000630249409724609
+epoch: 110, beta = 0.004900, Train MSE: 0.000893, Train CE:0.000001, Train KL:1.253549, Val MSE:0.000884, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 112/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 112/1000:   3%|▎         | 1/36 [00:00<00:15,  2.31it/s]
+Epoch 112/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.66it/s]
+Epoch 112/1000:  28%|██▊       | 10/36 [00:00<00:01, 19.33it/s]
+Epoch 112/1000:  39%|███▉      | 14/36 [00:00<00:00, 23.83it/s]
+Epoch 112/1000:  50%|█████     | 18/36 [00:00<00:00, 27.09it/s]
+Epoch 112/1000:  61%|██████    | 22/36 [00:00<00:00, 30.22it/s]
+Epoch 112/1000:  72%|███████▏  | 26/36 [00:01<00:00, 31.46it/s]
+Epoch 112/1000:  86%|████████▌ | 31/36 [00:01<00:00, 33.93it/s]
+Epoch 112/1000:  97%|█████████▋| 35/36 [00:01<00:00, 33.80it/s]
+Epoch 112/1000: 100%|██████████| 36/36 [00:01<00:00, 24.48it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 113/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 111, beta = 0.004900, Train MSE: 0.000870, Train CE:0.000009, Train KL:1.238709, Val MSE:0.001178, Val CE:0.000006, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 113/1000:   3%|▎         | 1/36 [00:00<00:12,  2.75it/s]
+Epoch 113/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.54it/s]
+Epoch 113/1000:  25%|██▌       | 9/36 [00:00<00:01, 18.89it/s]
+Epoch 113/1000:  36%|███▌      | 13/36 [00:00<00:00, 24.43it/s]
+Epoch 113/1000:  47%|████▋     | 17/36 [00:00<00:00, 27.22it/s]
+Epoch 113/1000:  58%|█████▊    | 21/36 [00:00<00:00, 30.56it/s]
+Epoch 113/1000:  69%|██████▉   | 25/36 [00:01<00:00, 32.98it/s]
+Epoch 113/1000:  81%|████████  | 29/36 [00:01<00:00, 33.67it/s]
+Epoch 113/1000:  92%|█████████▏| 33/36 [00:01<00:00, 32.96it/s]
+Epoch 113/1000: 100%|██████████| 36/36 [00:01<00:00, 24.88it/s]
+epoch: 112, beta = 0.004900, Train MSE: 0.000957, Train CE:0.000020, Train KL:1.234451, Val MSE:0.000992, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 114/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 114/1000:   3%|▎         | 1/36 [00:00<00:14,  2.49it/s]
+Epoch 114/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.84it/s]
+Epoch 114/1000:  22%|██▏       | 8/36 [00:00<00:01, 16.61it/s]
+Epoch 114/1000:  36%|███▌      | 13/36 [00:00<00:01, 22.94it/s]
+Epoch 114/1000:  47%|████▋     | 17/36 [00:00<00:00, 27.22it/s]
+Epoch 114/1000:  61%|██████    | 22/36 [00:00<00:00, 31.22it/s]
+Epoch 114/1000:  72%|███████▏  | 26/36 [00:01<00:00, 32.97it/s]
+Epoch 114/1000:  83%|████████▎ | 30/36 [00:01<00:00, 33.93it/s]
+Epoch 114/1000:  94%|█████████▍| 34/36 [00:01<00:00, 34.96it/s]
+Epoch 114/1000: 100%|██████████| 36/36 [00:01<00:00, 25.20it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 115/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 113, beta = 0.004900, Train MSE: 0.000817, Train CE:0.000001, Train KL:1.281439, Val MSE:0.001068, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 115/1000:   3%|▎         | 1/36 [00:00<00:14,  2.48it/s]
+Epoch 115/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.44it/s]
+Epoch 115/1000:  25%|██▌       | 9/36 [00:00<00:01, 17.36it/s]
+Epoch 115/1000:  39%|███▉      | 14/36 [00:00<00:00, 24.69it/s]
+Epoch 115/1000:  50%|█████     | 18/36 [00:00<00:00, 27.80it/s]
+Epoch 115/1000:  61%|██████    | 22/36 [00:01<00:00, 30.30it/s]
+Epoch 115/1000:  72%|███████▏  | 26/36 [00:01<00:00, 31.38it/s]
+Epoch 115/1000:  83%|████████▎ | 30/36 [00:01<00:00, 33.07it/s]
+Epoch 115/1000:  94%|█████████▍| 34/36 [00:01<00:00, 34.34it/s]
+Epoch 115/1000: 100%|██████████| 36/36 [00:01<00:00, 24.92it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 116/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 114, beta = 0.004900, Train MSE: 0.001129, Train CE:0.000078, Train KL:1.304832, Val MSE:0.000847, Val CE:0.000006, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 116/1000:   3%|▎         | 1/36 [00:00<00:14,  2.40it/s]
+Epoch 116/1000:  11%|█         | 4/36 [00:00<00:03,  9.33it/s]
+Epoch 116/1000:  22%|██▏       | 8/36 [00:00<00:01, 16.74it/s]
+Epoch 116/1000:  33%|███▎      | 12/36 [00:00<00:01, 21.96it/s]
+Epoch 116/1000:  44%|████▍     | 16/36 [00:00<00:00, 26.09it/s]
+Epoch 116/1000:  56%|█████▌    | 20/36 [00:00<00:00, 28.21it/s]
+Epoch 116/1000:  67%|██████▋   | 24/36 [00:01<00:00, 30.22it/s]
+Epoch 116/1000:  78%|███████▊  | 28/36 [00:01<00:00, 32.77it/s]
+Epoch 116/1000:  89%|████████▉ | 32/36 [00:01<00:00, 34.66it/s]
+Epoch 116/1000: 100%|██████████| 36/36 [00:01<00:00, 33.84it/s]
+Epoch 116/1000: 100%|██████████| 36/36 [00:01<00:00, 23.58it/s]
+epoch: 115, beta = 0.004900, Train MSE: 0.000777, Train CE:0.000013, Train KL:1.349955, Val MSE:0.001017, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 117/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 117/1000:   3%|▎         | 1/36 [00:00<00:11,  2.97it/s]
+Epoch 117/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.38it/s]
+Epoch 117/1000:  25%|██▌       | 9/36 [00:00<00:01, 20.06it/s]
+Epoch 117/1000:  36%|███▌      | 13/36 [00:00<00:00, 25.12it/s]
+Epoch 117/1000:  47%|████▋     | 17/36 [00:00<00:00, 26.65it/s]
+Epoch 117/1000:  58%|█████▊    | 21/36 [00:00<00:00, 28.66it/s]
+Epoch 117/1000:  72%|███████▏  | 26/36 [00:01<00:00, 33.24it/s]
+Epoch 117/1000:  92%|█████████▏| 33/36 [00:01<00:00, 41.10it/s]
+Epoch 117/1000: 100%|██████████| 36/36 [00:01<00:00, 26.80it/s]
+epoch: 116, beta = 0.004900, Train MSE: 0.001080, Train CE:0.000000, Train KL:1.301428, Val MSE:0.000875, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 118/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 118/1000:   3%|▎         | 1/36 [00:00<00:14,  2.47it/s]
+Epoch 118/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.20it/s]
+Epoch 118/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.21it/s]
+Epoch 118/1000:  39%|███▉      | 14/36 [00:00<00:00, 23.26it/s]
+Epoch 118/1000:  50%|█████     | 18/36 [00:00<00:00, 26.03it/s]
+Epoch 118/1000:  64%|██████▍   | 23/36 [00:01<00:00, 29.96it/s]
+Epoch 118/1000:  78%|███████▊  | 28/36 [00:01<00:00, 34.01it/s]
+Epoch 118/1000:  89%|████████▉ | 32/36 [00:01<00:00, 34.73it/s]
+Epoch 118/1000: 100%|██████████| 36/36 [00:01<00:00, 34.04it/s]
+Epoch 118/1000: 100%|██████████| 36/36 [00:01<00:00, 24.52it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]epoch: 117, beta = 0.004900, Train MSE: 0.001000, Train CE:0.000005, Train KL:1.391525, Val MSE:0.000849, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 119/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 119/1000:   3%|▎         | 1/36 [00:00<00:13,  2.61it/s]
+Epoch 119/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.72it/s]
+Epoch 119/1000:  22%|██▏       | 8/36 [00:00<00:01, 15.85it/s]
+Epoch 119/1000:  31%|███       | 11/36 [00:00<00:01, 19.16it/s]
+Epoch 119/1000:  42%|████▏     | 15/36 [00:00<00:00, 24.67it/s]
+Epoch 119/1000:  53%|█████▎    | 19/36 [00:00<00:00, 28.22it/s]
+Epoch 119/1000:  67%|██████▋   | 24/36 [00:01<00:00, 32.30it/s]
+Epoch 119/1000:  81%|████████  | 29/36 [00:01<00:00, 34.89it/s]
+Epoch 119/1000:  97%|█████████▋| 35/36 [00:01<00:00, 39.93it/s]
+Epoch 119/1000: 100%|██████████| 36/36 [00:01<00:00, 25.17it/s]
+epoch: 118, beta = 0.004900, Train MSE: 0.000868, Train CE:0.000001, Train KL:1.367199, Val MSE:0.001242, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 120/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 120/1000:   3%|▎         | 1/36 [00:00<00:12,  2.86it/s]
+Epoch 120/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.50it/s]
+Epoch 120/1000:  28%|██▊       | 10/36 [00:00<00:01, 22.98it/s]
+Epoch 120/1000:  44%|████▍     | 16/36 [00:00<00:00, 32.29it/s]
+Epoch 120/1000:  64%|██████▍   | 23/36 [00:00<00:00, 41.37it/s]
+Epoch 120/1000:  81%|████████  | 29/36 [00:00<00:00, 44.31it/s]
+Epoch 120/1000:  94%|█████████▍| 34/36 [00:01<00:00, 45.40it/s]
+Epoch 120/1000: 100%|██████████| 36/36 [00:01<00:00, 31.20it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 121/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 119, beta = 0.004900, Train MSE: 0.000960, Train CE:0.000002, Train KL:1.281314, Val MSE:0.000957, Val CE:0.000006, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 121/1000:   3%|▎         | 1/36 [00:00<00:15,  2.19it/s]
+Epoch 121/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.06it/s]
+Epoch 121/1000:  28%|██▊       | 10/36 [00:00<00:01, 20.19it/s]
+Epoch 121/1000:  42%|████▏     | 15/36 [00:00<00:00, 26.71it/s]
+Epoch 121/1000:  58%|█████▊    | 21/36 [00:00<00:00, 34.53it/s]
+Epoch 121/1000:  75%|███████▌  | 27/36 [00:01<00:00, 41.29it/s]
+Epoch 121/1000:  92%|█████████▏| 33/36 [00:01<00:00, 44.66it/s]
+Epoch 121/1000: 100%|██████████| 36/36 [00:01<00:00, 28.05it/s]
+epoch: 120, beta = 0.004900, Train MSE: 0.000994, Train CE:0.000005, Train KL:1.269779, Val MSE:0.000798, Val CE:0.000016, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 122/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 122/1000:   3%|▎         | 1/36 [00:00<00:12,  2.71it/s]
+Epoch 122/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.17it/s]
+Epoch 122/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.92it/s]
+Epoch 122/1000:  50%|█████     | 18/36 [00:00<00:00, 35.01it/s]
+Epoch 122/1000:  67%|██████▋   | 24/36 [00:00<00:00, 40.71it/s]
+Epoch 122/1000:  81%|████████  | 29/36 [00:00<00:00, 43.24it/s]
+Epoch 122/1000:  94%|█████████▍| 34/36 [00:01<00:00, 43.11it/s]
+Epoch 122/1000: 100%|██████████| 36/36 [00:01<00:00, 30.97it/s]
+Learning rate updated: 0.0005987369392383785
+epoch: 121, beta = 0.004900, Train MSE: 0.000826, Train CE:0.000035, Train KL:1.313131, Val MSE:0.000962, Val CE:0.000044, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 123/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 123/1000:   3%|▎         | 1/36 [00:00<00:13,  2.57it/s]
+Epoch 123/1000:  22%|██▏       | 8/36 [00:00<00:01, 19.96it/s]
+Epoch 123/1000:  42%|████▏     | 15/36 [00:00<00:00, 32.16it/s]
+Epoch 123/1000:  56%|█████▌    | 20/36 [00:00<00:00, 36.70it/s]
+Epoch 123/1000:  72%|███████▏  | 26/36 [00:00<00:00, 41.74it/s]
+Epoch 123/1000:  92%|█████████▏| 33/36 [00:00<00:00, 47.55it/s]
+Epoch 123/1000: 100%|██████████| 36/36 [00:01<00:00, 32.57it/s]
+epoch: 122, beta = 0.004900, Train MSE: 0.000936, Train CE:0.000051, Train KL:1.244042, Val MSE:0.001078, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 124/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 124/1000:   3%|▎         | 1/36 [00:00<00:13,  2.54it/s]
+Epoch 124/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.87it/s]
+Epoch 124/1000:  31%|███       | 11/36 [00:00<00:01, 24.38it/s]
+Epoch 124/1000:  44%|████▍     | 16/36 [00:00<00:00, 31.14it/s]
+Epoch 124/1000:  58%|█████▊    | 21/36 [00:00<00:00, 33.77it/s]
+Epoch 124/1000:  72%|███████▏  | 26/36 [00:00<00:00, 37.75it/s]
+Epoch 124/1000:  89%|████████▉ | 32/36 [00:01<00:00, 42.13it/s]
+Epoch 124/1000: 100%|██████████| 36/36 [00:01<00:00, 30.29it/s]
+epoch: 123, beta = 0.004900, Train MSE: 0.000910, Train CE:0.000017, Train KL:1.260184, Val MSE:0.000912, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 125/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 125/1000:   3%|▎         | 1/36 [00:00<00:13,  2.66it/s]
+Epoch 125/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.84it/s]
+Epoch 125/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.80it/s]
+Epoch 125/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.60it/s]
+Epoch 125/1000:  64%|██████▍   | 23/36 [00:00<00:00, 36.93it/s]
+Epoch 125/1000:  78%|███████▊  | 28/36 [00:00<00:00, 37.44it/s]
+Epoch 125/1000:  94%|█████████▍| 34/36 [00:01<00:00, 43.10it/s]
+Epoch 125/1000: 100%|██████████| 36/36 [00:01<00:00, 29.98it/s]
+epoch: 124, beta = 0.004900, Train MSE: 0.000836, Train CE:0.000003, Train KL:1.250916, Val MSE:0.000950, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 126/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 126/1000:   3%|▎         | 1/36 [00:00<00:13,  2.53it/s]
+Epoch 126/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.75it/s]
+Epoch 126/1000:  31%|███       | 11/36 [00:00<00:01, 23.40it/s]
+Epoch 126/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.04it/s]
+Epoch 126/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.16it/s]
+Epoch 126/1000:  72%|███████▏  | 26/36 [00:00<00:00, 38.71it/s]
+Epoch 126/1000:  86%|████████▌ | 31/36 [00:01<00:00, 39.92it/s]
+Epoch 126/1000: 100%|██████████| 36/36 [00:01<00:00, 30.14it/s]
+epoch: 125, beta = 0.004900, Train MSE: 0.000883, Train CE:0.000001, Train KL:1.214383, Val MSE:0.000819, Val CE:0.000020, Train ACC:1.000000, Val ACC:1.000000
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 127/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+
+Epoch 127/1000:   3%|▎         | 1/36 [00:00<00:14,  2.43it/s]
+Epoch 127/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.57it/s]
+Epoch 127/1000:  28%|██▊       | 10/36 [00:00<00:01, 20.66it/s]
+Epoch 127/1000:  42%|████▏     | 15/36 [00:00<00:00, 28.23it/s]
+Epoch 127/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.73it/s]
+Epoch 127/1000:  72%|███████▏  | 26/36 [00:00<00:00, 36.45it/s]
+Epoch 127/1000:  86%|████████▌ | 31/36 [00:01<00:00, 39.92it/s]
+Epoch 127/1000: 100%|██████████| 36/36 [00:01<00:00, 29.21it/s]
+epoch: 126, beta = 0.004900, Train MSE: 0.000865, Train CE:0.000005, Train KL:1.221196, Val MSE:0.000771, Val CE:0.000132, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 128/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 128/1000:   3%|▎         | 1/36 [00:00<00:14,  2.46it/s]
+Epoch 128/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.80it/s]
+Epoch 128/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.54it/s]
+Epoch 128/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.47it/s]
+Epoch 128/1000:  58%|█████▊    | 21/36 [00:00<00:00, 33.67it/s]
+Epoch 128/1000:  75%|███████▌  | 27/36 [00:00<00:00, 39.23it/s]
+Epoch 128/1000:  92%|█████████▏| 33/36 [00:01<00:00, 44.77it/s]
+Epoch 128/1000: 100%|██████████| 36/36 [00:01<00:00, 30.18it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 129/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 127, beta = 0.004900, Train MSE: 0.001023, Train CE:0.000110, Train KL:1.292878, Val MSE:0.000868, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 129/1000:   3%|▎         | 1/36 [00:00<00:11,  2.93it/s]
+Epoch 129/1000:  22%|██▏       | 8/36 [00:00<00:01, 21.51it/s]
+Epoch 129/1000:  39%|███▉      | 14/36 [00:00<00:00, 31.96it/s]
+Epoch 129/1000:  53%|█████▎    | 19/36 [00:00<00:00, 36.70it/s]
+Epoch 129/1000:  69%|██████▉   | 25/36 [00:00<00:00, 41.34it/s]
+Epoch 129/1000:  86%|████████▌ | 31/36 [00:00<00:00, 44.36it/s]
+Epoch 129/1000: 100%|██████████| 36/36 [00:01<00:00, 43.77it/s]
+Epoch 129/1000: 100%|██████████| 36/36 [00:01<00:00, 33.14it/s]
+epoch: 128, beta = 0.004900, Train MSE: 0.000890, Train CE:0.000002, Train KL:1.267577, Val MSE:0.000939, Val CE:0.000019, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 130/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 130/1000:   3%|▎         | 1/36 [00:00<00:09,  3.78it/s]
+Epoch 130/1000:  17%|█▋        | 6/36 [00:00<00:01, 19.02it/s]
+Epoch 130/1000:  31%|███       | 11/36 [00:00<00:00, 28.63it/s]
+Epoch 130/1000:  44%|████▍     | 16/36 [00:00<00:00, 34.42it/s]
+Epoch 130/1000:  61%|██████    | 22/36 [00:00<00:00, 41.47it/s]
+Epoch 130/1000:  78%|███████▊  | 28/36 [00:00<00:00, 46.14it/s]
+Epoch 130/1000:  94%|█████████▍| 34/36 [00:00<00:00, 49.04it/s]
+Epoch 130/1000: 100%|██████████| 36/36 [00:01<00:00, 33.17it/s]
+epoch: 129, beta = 0.004900, Train MSE: 0.000909, Train CE:0.000009, Train KL:1.250534, Val MSE:0.000801, Val CE:0.000228, Train ACC:1.000000, Val ACC:0.999944
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 131/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 131/1000:   3%|▎         | 1/36 [00:00<00:13,  2.53it/s]
+Epoch 131/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.37it/s]
+Epoch 131/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.67it/s]
+Epoch 131/1000:  42%|████▏     | 15/36 [00:00<00:00, 29.22it/s]
+Epoch 131/1000:  56%|█████▌    | 20/36 [00:00<00:00, 33.85it/s]
+Epoch 131/1000:  69%|██████▉   | 25/36 [00:00<00:00, 37.70it/s]
+Epoch 131/1000:  83%|████████▎ | 30/36 [00:01<00:00, 40.38it/s]
+Epoch 131/1000:  97%|█████████▋| 35/36 [00:01<00:00, 43.07it/s]
+Epoch 131/1000: 100%|██████████| 36/36 [00:01<00:00, 29.59it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 132/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 130, beta = 0.004900, Train MSE: 0.000845, Train CE:0.000005, Train KL:1.226547, Val MSE:0.000761, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 132/1000:   3%|▎         | 1/36 [00:00<00:14,  2.50it/s]
+Epoch 132/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.10it/s]
+Epoch 132/1000:  28%|██▊       | 10/36 [00:00<00:01, 20.83it/s]
+Epoch 132/1000:  42%|████▏     | 15/36 [00:00<00:00, 27.59it/s]
+Epoch 132/1000:  58%|█████▊    | 21/36 [00:00<00:00, 34.80it/s]
+Epoch 132/1000:  72%|███████▏  | 26/36 [00:00<00:00, 38.73it/s]
+Epoch 132/1000:  89%|████████▉ | 32/36 [00:01<00:00, 43.46it/s]
+Epoch 132/1000: 100%|██████████| 36/36 [00:01<00:00, 28.29it/s]
+epoch: 131, beta = 0.004900, Train MSE: 0.000839, Train CE:0.000043, Train KL:1.254454, Val MSE:0.000768, Val CE:0.000027, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 133/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 133/1000:   3%|▎         | 1/36 [00:00<00:11,  2.93it/s]
+Epoch 133/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.26it/s]
+Epoch 133/1000:  25%|██▌       | 9/36 [00:00<00:01, 20.63it/s]
+Epoch 133/1000:  36%|███▌      | 13/36 [00:00<00:00, 25.48it/s]
+Epoch 133/1000:  47%|████▋     | 17/36 [00:00<00:00, 28.38it/s]
+Epoch 133/1000:  61%|██████    | 22/36 [00:00<00:00, 34.04it/s]
+Epoch 133/1000:  81%|████████  | 29/36 [00:01<00:00, 42.56it/s]
+Epoch 133/1000: 100%|██████████| 36/36 [00:01<00:00, 49.81it/s]
+Epoch 133/1000: 100%|██████████| 36/36 [00:01<00:00, 29.60it/s]
+Learning rate updated: 0.0005688000922764595
+epoch: 132, beta = 0.004900, Train MSE: 0.000778, Train CE:0.000007, Train KL:1.264784, Val MSE:0.000832, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 134/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 134/1000:   3%|▎         | 1/36 [00:00<00:14,  2.37it/s]
+Epoch 134/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.83it/s]
+Epoch 134/1000:  28%|██▊       | 10/36 [00:00<00:01, 20.19it/s]
+Epoch 134/1000:  39%|███▉      | 14/36 [00:00<00:00, 25.17it/s]
+Epoch 134/1000:  53%|█████▎    | 19/36 [00:00<00:00, 31.72it/s]
+Epoch 134/1000:  67%|██████▋   | 24/36 [00:00<00:00, 36.21it/s]
+Epoch 134/1000:  83%|████████▎ | 30/36 [00:01<00:00, 42.84it/s]
+Epoch 134/1000: 100%|██████████| 36/36 [00:01<00:00, 29.68it/s]
+epoch: 133, beta = 0.004900, Train MSE: 0.000860, Train CE:0.000001, Train KL:1.219621, Val MSE:0.000869, Val CE:0.000019, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 135/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 135/1000:   3%|▎         | 1/36 [00:00<00:16,  2.07it/s]
+Epoch 135/1000:  17%|█▋        | 6/36 [00:00<00:02, 12.95it/s]
+Epoch 135/1000:  28%|██▊       | 10/36 [00:00<00:01, 18.91it/s]
+Epoch 135/1000:  42%|████▏     | 15/36 [00:00<00:00, 25.90it/s]
+Epoch 135/1000:  56%|█████▌    | 20/36 [00:00<00:00, 31.99it/s]
+Epoch 135/1000:  75%|███████▌  | 27/36 [00:01<00:00, 41.04it/s]
+Epoch 135/1000:  94%|█████████▍| 34/36 [00:01<00:00, 48.37it/s]
+Epoch 135/1000: 100%|██████████| 36/36 [00:01<00:00, 26.69it/s]
+epoch: 134, beta = 0.004900, Train MSE: 0.001238, Train CE:0.000008, Train KL:1.246193, Val MSE:0.002416, Val CE:0.000078, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 136/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 136/1000:   3%|▎         | 1/36 [00:00<00:13,  2.68it/s]
+Epoch 136/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.19it/s]
+Epoch 136/1000:  31%|███       | 11/36 [00:00<00:01, 23.79it/s]
+Epoch 136/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.05it/s]
+Epoch 136/1000:  61%|██████    | 22/36 [00:00<00:00, 36.96it/s]
+Epoch 136/1000:  81%|████████  | 29/36 [00:00<00:00, 45.95it/s]
+Epoch 136/1000: 100%|██████████| 36/36 [00:01<00:00, 52.32it/s]
+Epoch 136/1000: 100%|██████████| 36/36 [00:01<00:00, 31.96it/s]
+epoch: 135, beta = 0.004900, Train MSE: 0.001080, Train CE:0.000001, Train KL:1.605477, Val MSE:0.000779, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 137/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 137/1000:   3%|▎         | 1/36 [00:00<00:12,  2.71it/s]
+Epoch 137/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.23it/s]
+Epoch 137/1000:  31%|███       | 11/36 [00:00<00:01, 22.51it/s]
+Epoch 137/1000:  44%|████▍     | 16/36 [00:00<00:00, 29.01it/s]
+Epoch 137/1000:  58%|█████▊    | 21/36 [00:00<00:00, 34.15it/s]
+Epoch 137/1000:  78%|███████▊  | 28/36 [00:00<00:00, 42.22it/s]
+Epoch 137/1000:  92%|█████████▏| 33/36 [00:01<00:00, 44.18it/s]
+Epoch 137/1000: 100%|██████████| 36/36 [00:01<00:00, 31.30it/s]
+epoch: 136, beta = 0.004900, Train MSE: 0.000781, Train CE:0.000011, Train KL:1.451924, Val MSE:0.000777, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 138/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 138/1000:   3%|▎         | 1/36 [00:00<00:11,  3.02it/s]
+Epoch 138/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.99it/s]
+Epoch 138/1000:  33%|███▎      | 12/36 [00:00<00:00, 28.58it/s]
+Epoch 138/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.84it/s]
+Epoch 138/1000:  61%|██████    | 22/36 [00:00<00:00, 35.44it/s]
+Epoch 138/1000:  81%|████████  | 29/36 [00:00<00:00, 43.32it/s]
+Epoch 138/1000: 100%|██████████| 36/36 [00:01<00:00, 50.44it/s]
+Epoch 138/1000: 100%|██████████| 36/36 [00:01<00:00, 33.18it/s]
+epoch: 137, beta = 0.004900, Train MSE: 0.001004, Train CE:0.000000, Train KL:1.369381, Val MSE:0.001182, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 139/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 139/1000:   3%|▎         | 1/36 [00:00<00:13,  2.58it/s]
+Epoch 139/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.92it/s]
+Epoch 139/1000:  31%|███       | 11/36 [00:00<00:01, 23.98it/s]
+Epoch 139/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.14it/s]
+Epoch 139/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.18it/s]
+Epoch 139/1000:  78%|███████▊  | 28/36 [00:00<00:00, 41.85it/s]
+Epoch 139/1000:  94%|█████████▍| 34/36 [00:01<00:00, 46.22it/s]
+Epoch 139/1000: 100%|██████████| 36/36 [00:01<00:00, 31.38it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 140/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 138, beta = 0.004900, Train MSE: 0.000781, Train CE:0.000001, Train KL:1.404531, Val MSE:0.000818, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 140/1000:   3%|▎         | 1/36 [00:00<00:12,  2.70it/s]
+Epoch 140/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.12it/s]
+Epoch 140/1000:  31%|███       | 11/36 [00:00<00:01, 23.47it/s]
+Epoch 140/1000:  44%|████▍     | 16/36 [00:00<00:00, 29.39it/s]
+Epoch 140/1000:  58%|█████▊    | 21/36 [00:00<00:00, 34.05it/s]
+Epoch 140/1000:  75%|███████▌  | 27/36 [00:00<00:00, 39.49it/s]
+Epoch 140/1000:  89%|████████▉ | 32/36 [00:01<00:00, 42.18it/s]
+Epoch 140/1000: 100%|██████████| 36/36 [00:01<00:00, 29.65it/s]
+epoch: 139, beta = 0.004900, Train MSE: 0.000812, Train CE:0.000013, Train KL:1.315533, Val MSE:0.000855, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 141/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 141/1000:   3%|▎         | 1/36 [00:00<00:12,  2.76it/s]
+Epoch 141/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.18it/s]
+Epoch 141/1000:  31%|███       | 11/36 [00:00<00:00, 25.83it/s]
+Epoch 141/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.93it/s]
+Epoch 141/1000:  61%|██████    | 22/36 [00:00<00:00, 36.70it/s]
+Epoch 141/1000:  78%|███████▊  | 28/36 [00:00<00:00, 42.30it/s]
+Epoch 141/1000:  94%|█████████▍| 34/36 [00:01<00:00, 46.78it/s]
+Epoch 141/1000: 100%|██████████| 36/36 [00:01<00:00, 31.15it/s]
+epoch: 140, beta = 0.004900, Train MSE: 0.000857, Train CE:0.000003, Train KL:1.276106, Val MSE:0.001268, Val CE:0.000058, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 142/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 142/1000:   3%|▎         | 1/36 [00:00<00:13,  2.59it/s]
+Epoch 142/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.57it/s]
+Epoch 142/1000:  36%|███▌      | 13/36 [00:00<00:00, 27.71it/s]
+Epoch 142/1000:  53%|█████▎    | 19/36 [00:00<00:00, 33.14it/s]
+Epoch 142/1000:  69%|██████▉   | 25/36 [00:00<00:00, 38.85it/s]
+Epoch 142/1000:  83%|████████▎ | 30/36 [00:00<00:00, 40.56it/s]
+Epoch 142/1000: 100%|██████████| 36/36 [00:01<00:00, 44.63it/s]
+Epoch 142/1000: 100%|██████████| 36/36 [00:01<00:00, 30.40it/s]
+epoch: 141, beta = 0.004900, Train MSE: 0.000843, Train CE:0.000026, Train KL:1.288977, Val MSE:0.000805, Val CE:0.000005, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 143/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 143/1000:   3%|▎         | 1/36 [00:00<00:12,  2.72it/s]
+Epoch 143/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.76it/s]
+Epoch 143/1000:  28%|██▊       | 10/36 [00:00<00:01, 22.54it/s]
+Epoch 143/1000:  42%|████▏     | 15/36 [00:00<00:00, 29.60it/s]
+Epoch 143/1000:  56%|█████▌    | 20/36 [00:00<00:00, 33.30it/s]
+Epoch 143/1000:  69%|██████▉   | 25/36 [00:00<00:00, 36.45it/s]
+Epoch 143/1000:  83%|████████▎ | 30/36 [00:01<00:00, 39.14it/s]
+Epoch 143/1000: 100%|██████████| 36/36 [00:01<00:00, 43.31it/s]
+Epoch 143/1000: 100%|██████████| 36/36 [00:01<00:00, 28.98it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 144/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 142, beta = 0.004900, Train MSE: 0.000845, Train CE:0.000198, Train KL:1.288979, Val MSE:0.000903, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 144/1000:   3%|▎         | 1/36 [00:00<00:13,  2.53it/s]
+Epoch 144/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.92it/s]
+Epoch 144/1000:  31%|███       | 11/36 [00:00<00:01, 24.02it/s]
+Epoch 144/1000:  42%|████▏     | 15/36 [00:00<00:00, 28.33it/s]
+Epoch 144/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.70it/s]
+Epoch 144/1000:  75%|███████▌  | 27/36 [00:00<00:00, 41.48it/s]
+Epoch 144/1000:  92%|█████████▏| 33/36 [00:01<00:00, 45.25it/s]
+Epoch 144/1000: 100%|██████████| 36/36 [00:01<00:00, 31.35it/s]
+Learning rate updated: 0.0005403600876626365
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 145/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+epoch: 143, beta = 0.004900, Train MSE: 0.000825, Train CE:0.000001, Train KL:1.266688, Val MSE:0.000892, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 145/1000:   3%|▎         | 1/36 [00:00<00:16,  2.14it/s]
+Epoch 145/1000:  14%|█▍        | 5/36 [00:00<00:02, 10.71it/s]
+Epoch 145/1000:  28%|██▊       | 10/36 [00:00<00:01, 20.07it/s]
+Epoch 145/1000:  42%|████▏     | 15/36 [00:00<00:00, 26.67it/s]
+Epoch 145/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.23it/s]
+Epoch 145/1000:  75%|███████▌  | 27/36 [00:01<00:00, 41.24it/s]
+Epoch 145/1000:  92%|█████████▏| 33/36 [00:01<00:00, 45.82it/s]
+Epoch 145/1000: 100%|██████████| 36/36 [00:01<00:00, 28.96it/s]
+epoch: 144, beta = 0.004900, Train MSE: 0.000797, Train CE:0.000001, Train KL:1.253906, Val MSE:0.000925, Val CE:0.000034, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 146/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 146/1000:   3%|▎         | 1/36 [00:00<00:12,  2.82it/s]
+Epoch 146/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.47it/s]
+Epoch 146/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.81it/s]
+Epoch 146/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.17it/s]
+Epoch 146/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.53it/s]
+Epoch 146/1000:  75%|███████▌  | 27/36 [00:00<00:00, 41.82it/s]
+Epoch 146/1000:  92%|█████████▏| 33/36 [00:01<00:00, 46.43it/s]
+Epoch 146/1000: 100%|██████████| 36/36 [00:01<00:00, 30.41it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 147/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 145, beta = 0.004900, Train MSE: 0.000867, Train CE:0.000029, Train KL:1.247149, Val MSE:0.000762, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 147/1000:   3%|▎         | 1/36 [00:00<00:11,  3.11it/s]
+Epoch 147/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.07it/s]
+Epoch 147/1000:  28%|██▊       | 10/36 [00:00<00:01, 23.27it/s]
+Epoch 147/1000:  42%|████▏     | 15/36 [00:00<00:00, 30.26it/s]
+Epoch 147/1000:  61%|██████    | 22/36 [00:00<00:00, 39.52it/s]
+Epoch 147/1000:  81%|████████  | 29/36 [00:00<00:00, 46.71it/s]
+Epoch 147/1000:  97%|█████████▋| 35/36 [00:00<00:00, 50.18it/s]
+Epoch 147/1000: 100%|██████████| 36/36 [00:01<00:00, 32.56it/s]
+epoch: 146, beta = 0.004900, Train MSE: 0.000872, Train CE:0.000046, Train KL:1.258082, Val MSE:0.000970, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 148/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 148/1000:   3%|▎         | 1/36 [00:00<00:15,  2.23it/s]
+Epoch 148/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.23it/s]
+Epoch 148/1000:  31%|███       | 11/36 [00:00<00:01, 22.08it/s]
+Epoch 148/1000:  44%|████▍     | 16/36 [00:00<00:00, 28.81it/s]
+Epoch 148/1000:  64%|██████▍   | 23/36 [00:00<00:00, 38.38it/s]
+Epoch 148/1000:  81%|████████  | 29/36 [00:00<00:00, 43.60it/s]
+Epoch 148/1000:  97%|█████████▋| 35/36 [00:01<00:00, 44.11it/s]
+Epoch 148/1000: 100%|██████████| 36/36 [00:01<00:00, 29.27it/s]
+epoch: 147, beta = 0.004900, Train MSE: 0.000855, Train CE:0.000056, Train KL:1.279879, Val MSE:0.000883, Val CE:0.000090, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 149/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 149/1000:   3%|▎         | 1/36 [00:00<00:13,  2.57it/s]
+Epoch 149/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.14it/s]
+Epoch 149/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.04it/s]
+Epoch 149/1000:  42%|████▏     | 15/36 [00:00<00:00, 28.68it/s]
+Epoch 149/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.62it/s]
+Epoch 149/1000:  78%|███████▊  | 28/36 [00:00<00:00, 43.83it/s]
+Epoch 149/1000:  92%|█████████▏| 33/36 [00:01<00:00, 45.51it/s]
+Epoch 149/1000: 100%|██████████| 36/36 [00:01<00:00, 28.90it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 150/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 148, beta = 0.004900, Train MSE: 0.000791, Train CE:0.000026, Train KL:1.264713, Val MSE:0.001287, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 150/1000:   3%|▎         | 1/36 [00:00<00:12,  2.82it/s]
+Epoch 150/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.36it/s]
+Epoch 150/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.26it/s]
+Epoch 150/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.94it/s]
+Epoch 150/1000:  61%|██████    | 22/36 [00:00<00:00, 37.50it/s]
+Epoch 150/1000:  78%|███████▊  | 28/36 [00:00<00:00, 43.50it/s]
+Epoch 150/1000:  94%|█████████▍| 34/36 [00:01<00:00, 44.95it/s]
+Epoch 150/1000: 100%|██████████| 36/36 [00:01<00:00, 30.88it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 151/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 149, beta = 0.004900, Train MSE: 0.000841, Train CE:0.000001, Train KL:1.274468, Val MSE:0.000812, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 151/1000:   3%|▎         | 1/36 [00:00<00:13,  2.58it/s]
+Epoch 151/1000:   8%|▊         | 3/36 [00:00<00:04,  6.80it/s]
+Epoch 151/1000:  19%|█▉        | 7/36 [00:00<00:01, 15.45it/s]
+Epoch 151/1000:  33%|███▎      | 12/36 [00:00<00:01, 23.58it/s]
+Epoch 151/1000:  47%|████▋     | 17/36 [00:00<00:00, 30.68it/s]
+Epoch 151/1000:  64%|██████▍   | 23/36 [00:00<00:00, 38.04it/s]
+Epoch 151/1000:  78%|███████▊  | 28/36 [00:01<00:00, 41.25it/s]
+Epoch 151/1000:  92%|█████████▏| 33/36 [00:01<00:00, 40.11it/s]
+Epoch 151/1000: 100%|██████████| 36/36 [00:01<00:00, 27.19it/s]
+epoch: 150, beta = 0.004900, Train MSE: 0.000899, Train CE:0.000001, Train KL:1.240428, Val MSE:0.000848, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 152/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 152/1000:   3%|▎         | 1/36 [00:00<00:14,  2.45it/s]
+Epoch 152/1000:  22%|██▏       | 8/36 [00:00<00:01, 19.33it/s]
+Epoch 152/1000:  44%|████▍     | 16/36 [00:00<00:00, 34.06it/s]
+Epoch 152/1000:  64%|██████▍   | 23/36 [00:00<00:00, 41.68it/s]
+Epoch 152/1000:  81%|████████  | 29/36 [00:00<00:00, 44.77it/s]
+Epoch 152/1000:  97%|█████████▋| 35/36 [00:00<00:00, 46.83it/s]
+Epoch 152/1000: 100%|██████████| 36/36 [00:01<00:00, 33.48it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 153/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 151, beta = 0.004900, Train MSE: 0.000791, Train CE:0.000002, Train KL:1.244727, Val MSE:0.000876, Val CE:0.000094, Train ACC:1.000000, Val ACC:0.999972
+
+Epoch 153/1000:   3%|▎         | 1/36 [00:00<00:12,  2.78it/s]
+Epoch 153/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.64it/s]
+Epoch 153/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.54it/s]
+Epoch 153/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.01it/s]
+Epoch 153/1000:  61%|██████    | 22/36 [00:00<00:00, 34.88it/s]
+Epoch 153/1000:  75%|███████▌  | 27/36 [00:00<00:00, 37.56it/s]
+Epoch 153/1000:  89%|████████▉ | 32/36 [00:01<00:00, 38.48it/s]
+Epoch 153/1000: 100%|██████████| 36/36 [00:01<00:00, 28.62it/s]
+epoch: 152, beta = 0.004900, Train MSE: 0.000785, Train CE:0.000006, Train KL:1.216486, Val MSE:0.000909, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 154/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 154/1000:   3%|▎         | 1/36 [00:00<00:12,  2.76it/s]
+Epoch 154/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.82it/s]
+Epoch 154/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.55it/s]
+Epoch 154/1000:  50%|█████     | 18/36 [00:00<00:00, 34.57it/s]
+Epoch 154/1000:  67%|██████▋   | 24/36 [00:00<00:00, 40.52it/s]
+Epoch 154/1000:  81%|████████  | 29/36 [00:00<00:00, 42.93it/s]
+Epoch 154/1000:  94%|█████████▍| 34/36 [00:01<00:00, 42.72it/s]
+Epoch 154/1000: 100%|██████████| 36/36 [00:01<00:00, 30.75it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]epoch: 153, beta = 0.004900, Train MSE: 0.000842, Train CE:0.000019, Train KL:1.198276, Val MSE:0.000882, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 155/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 155/1000:   3%|▎         | 1/36 [00:00<00:09,  3.52it/s]
+Epoch 155/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.88it/s]
+Epoch 155/1000:  33%|███▎      | 12/36 [00:00<00:00, 29.20it/s]
+Epoch 155/1000:  50%|█████     | 18/36 [00:00<00:00, 37.03it/s]
+Epoch 155/1000:  67%|██████▋   | 24/36 [00:00<00:00, 42.31it/s]
+Epoch 155/1000:  83%|████████▎ | 30/36 [00:00<00:00, 45.97it/s]
+Epoch 155/1000:  97%|█████████▋| 35/36 [00:00<00:00, 47.01it/s]
+Epoch 155/1000: 100%|██████████| 36/36 [00:01<00:00, 33.63it/s]
+Learning rate updated: 0.0005133420832795047
+epoch: 154, beta = 0.004900, Train MSE: 0.000862, Train CE:0.000001, Train KL:1.206037, Val MSE:0.000827, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 156/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 156/1000:   3%|▎         | 1/36 [00:00<00:14,  2.34it/s]
+Epoch 156/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.36it/s]
+Epoch 156/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.32it/s]
+Epoch 156/1000:  47%|████▋     | 17/36 [00:00<00:00, 29.64it/s]
+Epoch 156/1000:  64%|██████▍   | 23/36 [00:00<00:00, 36.18it/s]
+Epoch 156/1000:  78%|███████▊  | 28/36 [00:01<00:00, 37.32it/s]
+Epoch 156/1000:  92%|█████████▏| 33/36 [00:01<00:00, 40.29it/s]
+Epoch 156/1000: 100%|██████████| 36/36 [00:01<00:00, 27.91it/s]
+epoch: 155, beta = 0.004900, Train MSE: 0.000720, Train CE:0.000003, Train KL:1.282184, Val MSE:0.000733, Val CE:0.000007, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 157/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 157/1000:   3%|▎         | 1/36 [00:00<00:15,  2.30it/s]
+Epoch 157/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.21it/s]
+Epoch 157/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.06it/s]
+Epoch 157/1000:  44%|████▍     | 16/36 [00:00<00:00, 27.20it/s]
+Epoch 157/1000:  58%|█████▊    | 21/36 [00:00<00:00, 31.64it/s]
+Epoch 157/1000:  75%|███████▌  | 27/36 [00:01<00:00, 38.04it/s]
+Epoch 157/1000:  92%|█████████▏| 33/36 [00:01<00:00, 42.23it/s]
+Epoch 157/1000: 100%|██████████| 36/36 [00:01<00:00, 28.18it/s]
+epoch: 156, beta = 0.004900, Train MSE: 0.000892, Train CE:0.000142, Train KL:1.289377, Val MSE:0.000867, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 158/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 158/1000:   3%|▎         | 1/36 [00:00<00:15,  2.26it/s]
+Epoch 158/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.18it/s]
+Epoch 158/1000:  36%|███▌      | 13/36 [00:00<00:00, 26.15it/s]
+Epoch 158/1000:  50%|█████     | 18/36 [00:00<00:00, 31.77it/s]
+Epoch 158/1000:  64%|██████▍   | 23/36 [00:00<00:00, 35.92it/s]
+Epoch 158/1000:  78%|███████▊  | 28/36 [00:00<00:00, 38.67it/s]
+Epoch 158/1000:  94%|█████████▍| 34/36 [00:01<00:00, 42.19it/s]
+Epoch 158/1000: 100%|██████████| 36/36 [00:01<00:00, 28.75it/s]
+epoch: 157, beta = 0.004900, Train MSE: 0.000845, Train CE:0.000001, Train KL:1.247446, Val MSE:0.000868, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 159/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 159/1000:   3%|▎         | 1/36 [00:00<00:14,  2.38it/s]
+Epoch 159/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.70it/s]
+Epoch 159/1000:  31%|███       | 11/36 [00:00<00:01, 23.63it/s]
+Epoch 159/1000:  42%|████▏     | 15/36 [00:00<00:00, 27.75it/s]
+Epoch 159/1000:  56%|█████▌    | 20/36 [00:00<00:00, 32.24it/s]
+Epoch 159/1000:  69%|██████▉   | 25/36 [00:00<00:00, 36.45it/s]
+Epoch 159/1000:  83%|████████▎ | 30/36 [00:01<00:00, 37.78it/s]
+Epoch 159/1000:  97%|█████████▋| 35/36 [00:01<00:00, 37.86it/s]
+Epoch 159/1000: 100%|██████████| 36/36 [00:01<00:00, 26.85it/s]
+epoch: 158, beta = 0.004900, Train MSE: 0.000804, Train CE:0.000001, Train KL:1.257192, Val MSE:0.000924, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 160/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 160/1000:   3%|▎         | 1/36 [00:00<00:11,  3.14it/s]
+Epoch 160/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.36it/s]
+Epoch 160/1000:  33%|███▎      | 12/36 [00:00<00:00, 29.70it/s]
+Epoch 160/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.49it/s]
+Epoch 160/1000:  61%|██████    | 22/36 [00:00<00:00, 36.31it/s]
+Epoch 160/1000:  75%|███████▌  | 27/36 [00:00<00:00, 37.97it/s]
+Epoch 160/1000:  89%|████████▉ | 32/36 [00:01<00:00, 40.34it/s]
+Epoch 160/1000: 100%|██████████| 36/36 [00:01<00:00, 31.09it/s]
+epoch: 159, beta = 0.004900, Train MSE: 0.000885, Train CE:0.000002, Train KL:1.208561, Val MSE:0.000899, Val CE:0.000035, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 161/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 161/1000:   3%|▎         | 1/36 [00:00<00:14,  2.37it/s]
+Epoch 161/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.86it/s]
+Epoch 161/1000:  31%|███       | 11/36 [00:00<00:01, 22.24it/s]
+Epoch 161/1000:  44%|████▍     | 16/36 [00:00<00:00, 27.94it/s]
+Epoch 161/1000:  58%|█████▊    | 21/36 [00:00<00:00, 33.21it/s]
+Epoch 161/1000:  72%|███████▏  | 26/36 [00:00<00:00, 37.45it/s]
+Epoch 161/1000:  86%|████████▌ | 31/36 [00:01<00:00, 39.73it/s]
+Epoch 161/1000: 100%|██████████| 36/36 [00:01<00:00, 40.77it/s]
+Epoch 161/1000: 100%|██████████| 36/36 [00:01<00:00, 27.45it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 162/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 162/1000:   3%|▎         | 1/36 [00:00<00:12,  2.86it/s]
+Epoch 162/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.59it/s]
+Epoch 162/1000:  28%|██▊       | 10/36 [00:00<00:01, 23.21it/s]
+Epoch 162/1000:  42%|████▏     | 15/36 [00:00<00:00, 29.89it/s]
+Epoch 162/1000:  56%|█████▌    | 20/36 [00:00<00:00, 34.95it/s]
+Epoch 162/1000:  69%|██████▉   | 25/36 [00:00<00:00, 37.19it/s]
+Epoch 162/1000:  83%|████████▎ | 30/36 [00:01<00:00, 38.29it/s]
+Epoch 162/1000:  97%|█████████▋| 35/36 [00:01<00:00, 39.47it/s]
+Epoch 162/1000: 100%|██████████| 36/36 [00:01<00:00, 29.20it/s]
+epoch: 161, beta = 0.004900, Train MSE: 0.000814, Train CE:0.000001, Train KL:1.214919, Val MSE:0.000832, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 163/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 163/1000:   3%|▎         | 1/36 [00:00<00:12,  2.77it/s]
+Epoch 163/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.92it/s]
+Epoch 163/1000:  25%|██▌       | 9/36 [00:00<00:01, 19.49it/s]
+Epoch 163/1000:  36%|███▌      | 13/36 [00:00<00:00, 24.79it/s]
+Epoch 163/1000:  50%|█████     | 18/36 [00:00<00:00, 29.55it/s]
+Epoch 163/1000:  61%|██████    | 22/36 [00:00<00:00, 32.21it/s]
+Epoch 163/1000:  75%|███████▌  | 27/36 [00:01<00:00, 35.98it/s]
+Epoch 163/1000:  92%|█████████▏| 33/36 [00:01<00:00, 41.82it/s]
+Epoch 163/1000: 100%|██████████| 36/36 [00:01<00:00, 28.38it/s]
+epoch: 162, beta = 0.004900, Train MSE: 0.000854, Train CE:0.000025, Train KL:1.194262, Val MSE:0.000807, Val CE:0.000034, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 164/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.11it/s]
+Epoch 164/1000:  31%|███       | 11/36 [00:00<00:01, 24.52it/s]
+Epoch 164/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.15it/s]
+Epoch 164/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.22it/s]
+Epoch 164/1000:  72%|███████▏  | 26/36 [00:00<00:00, 39.09it/s]
+Epoch 164/1000:  86%|████████▌ | 31/36 [00:01<00:00, 41.99it/s]
+Epoch 164/1000: 100%|██████████| 36/36 [00:01<00:00, 44.01it/s]
+Epoch 164/1000: 100%|██████████| 36/36 [00:01<00:00, 31.08it/s]
+epoch: 163, beta = 0.004900, Train MSE: 0.000799, Train CE:0.000001, Train KL:1.216406, Val MSE:0.000784, Val CE:0.000005, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 165/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 165/1000:   3%|▎         | 1/36 [00:00<00:13,  2.53it/s]
+Epoch 165/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.27it/s]
+Epoch 165/1000:  25%|██▌       | 9/36 [00:00<00:01, 18.78it/s]
+Epoch 165/1000:  39%|███▉      | 14/36 [00:00<00:00, 25.93it/s]
+Epoch 165/1000:  56%|█████▌    | 20/36 [00:00<00:00, 33.23it/s]
+Epoch 165/1000:  72%|███████▏  | 26/36 [00:00<00:00, 38.84it/s]
+Epoch 165/1000:  86%|████████▌ | 31/36 [00:01<00:00, 39.77it/s]
+Epoch 165/1000: 100%|██████████| 36/36 [00:01<00:00, 40.02it/s]
+Epoch 165/1000: 100%|██████████| 36/36 [00:01<00:00, 26.96it/s]
+epoch: 164, beta = 0.004900, Train MSE: 0.000709, Train CE:0.000008, Train KL:1.234866, Val MSE:0.000773, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 166/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 166/1000:   3%|▎         | 1/36 [00:00<00:16,  2.13it/s]
+Epoch 166/1000:  14%|█▍        | 5/36 [00:00<00:02, 10.85it/s]
+Epoch 166/1000:  28%|██▊       | 10/36 [00:00<00:01, 19.97it/s]
+Epoch 166/1000:  42%|████▏     | 15/36 [00:00<00:00, 27.04it/s]
+Epoch 166/1000:  56%|█████▌    | 20/36 [00:00<00:00, 32.34it/s]
+Epoch 166/1000:  69%|██████▉   | 25/36 [00:01<00:00, 36.70it/s]
+Epoch 166/1000:  83%|████████▎ | 30/36 [00:01<00:00, 37.78it/s]
+Epoch 166/1000:  97%|█████████▋| 35/36 [00:01<00:00, 37.61it/s]
+Epoch 166/1000: 100%|██████████| 36/36 [00:01<00:00, 26.25it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]Learning rate updated: 0.00048767497911552944
+epoch: 165, beta = 0.004900, Train MSE: 0.000847, Train CE:0.000002, Train KL:1.193706, Val MSE:0.000921, Val CE:0.000020, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 167/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 167/1000:   3%|▎         | 1/36 [00:00<00:12,  2.74it/s]
+Epoch 167/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.16it/s]
+Epoch 167/1000:  31%|███       | 11/36 [00:00<00:00, 25.61it/s]
+Epoch 167/1000:  47%|████▋     | 17/36 [00:00<00:00, 34.25it/s]
+Epoch 167/1000:  64%|██████▍   | 23/36 [00:00<00:00, 40.17it/s]
+Epoch 167/1000:  78%|███████▊  | 28/36 [00:00<00:00, 42.87it/s]
+Epoch 167/1000:  92%|█████████▏| 33/36 [00:01<00:00, 38.30it/s]epoch: 166, beta = 0.004900, Train MSE: 0.000899, Train CE:0.000152, Train KL:1.215190, Val MSE:0.001590, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 167/1000: 100%|██████████| 36/36 [00:01<00:00, 29.48it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 168/1000:   3%|▎         | 1/36 [00:00<00:12,  2.73it/s]
+Epoch 168/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.11it/s]
+Epoch 168/1000:  28%|██▊       | 10/36 [00:00<00:01, 23.10it/s]
+Epoch 168/1000:  39%|███▉      | 14/36 [00:00<00:00, 27.73it/s]
+Epoch 168/1000:  53%|█████▎    | 19/36 [00:00<00:00, 34.08it/s]
+Epoch 168/1000:  69%|██████▉   | 25/36 [00:00<00:00, 41.25it/s]
+Epoch 168/1000:  86%|████████▌ | 31/36 [00:00<00:00, 45.02it/s]
+Epoch 168/1000: 100%|██████████| 36/36 [00:01<00:00, 45.67it/s]
+Epoch 168/1000: 100%|██████████| 36/36 [00:01<00:00, 30.32it/s]
+epoch: 167, beta = 0.004900, Train MSE: 0.000917, Train CE:0.000000, Train KL:1.259116, Val MSE:0.000783, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 169/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 169/1000:   3%|▎         | 1/36 [00:00<00:12,  2.72it/s]
+Epoch 169/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.62it/s]
+Epoch 169/1000:  25%|██▌       | 9/36 [00:00<00:01, 19.68it/s]
+Epoch 169/1000:  42%|████▏     | 15/36 [00:00<00:00, 29.50it/s]
+Epoch 169/1000:  61%|██████    | 22/36 [00:00<00:00, 38.90it/s]
+Epoch 169/1000:  75%|███████▌  | 27/36 [00:00<00:00, 41.69it/s]
+Epoch 169/1000:  89%|████████▉ | 32/36 [00:01<00:00, 42.28it/s]
+Epoch 169/1000: 100%|██████████| 36/36 [00:01<00:00, 30.02it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 170/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 168, beta = 0.004900, Train MSE: 0.000800, Train CE:0.000001, Train KL:1.203290, Val MSE:0.000815, Val CE:0.000073, Train ACC:1.000000, Val ACC:0.999972
+
+Epoch 170/1000:   3%|▎         | 1/36 [00:00<00:14,  2.42it/s]
+Epoch 170/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.09it/s]
+Epoch 170/1000:  28%|██▊       | 10/36 [00:00<00:01, 20.48it/s]
+Epoch 170/1000:  42%|████▏     | 15/36 [00:00<00:00, 26.98it/s]
+Epoch 170/1000:  56%|█████▌    | 20/36 [00:00<00:00, 32.32it/s]
+Epoch 170/1000:  69%|██████▉   | 25/36 [00:00<00:00, 34.92it/s]
+Epoch 170/1000:  86%|████████▌ | 31/36 [00:01<00:00, 39.10it/s]
+Epoch 170/1000: 100%|██████████| 36/36 [00:01<00:00, 41.81it/s]
+Epoch 170/1000: 100%|██████████| 36/36 [00:01<00:00, 26.16it/s]
+epoch: 169, beta = 0.004900, Train MSE: 0.000824, Train CE:0.000048, Train KL:1.211908, Val MSE:0.000746, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 171/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 171/1000:   3%|▎         | 1/36 [00:00<00:13,  2.64it/s]
+Epoch 171/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.04it/s]
+Epoch 171/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.89it/s]
+Epoch 171/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.28it/s]
+Epoch 171/1000:  61%|██████    | 22/36 [00:00<00:00, 33.46it/s]
+Epoch 171/1000:  75%|███████▌  | 27/36 [00:00<00:00, 36.64it/s]
+Epoch 171/1000:  89%|████████▉ | 32/36 [00:01<00:00, 38.30it/s]
+Epoch 171/1000: 100%|██████████| 36/36 [00:01<00:00, 28.63it/s]
+epoch: 170, beta = 0.004900, Train MSE: 0.000717, Train CE:0.000000, Train KL:1.240466, Val MSE:0.001073, Val CE:0.000087, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 172/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 172/1000:   3%|▎         | 1/36 [00:00<00:15,  2.27it/s]
+Epoch 172/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.46it/s]
+Epoch 172/1000:  28%|██▊       | 10/36 [00:00<00:01, 20.98it/s]
+Epoch 172/1000:  44%|████▍     | 16/36 [00:00<00:00, 29.81it/s]
+Epoch 172/1000:  58%|█████▊    | 21/36 [00:00<00:00, 33.82it/s]
+Epoch 172/1000:  75%|███████▌  | 27/36 [00:01<00:00, 38.89it/s]
+Epoch 172/1000:  89%|████████▉ | 32/36 [00:01<00:00, 41.43it/s]
+Epoch 172/1000: 100%|██████████| 36/36 [00:01<00:00, 28.24it/s]
+epoch: 171, beta = 0.004900, Train MSE: 0.000873, Train CE:0.000076, Train KL:1.244645, Val MSE:0.000846, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 173/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 173/1000:   3%|▎         | 1/36 [00:00<00:14,  2.36it/s]
+Epoch 173/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.65it/s]
+Epoch 173/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.30it/s]
+Epoch 173/1000:  39%|███▉      | 14/36 [00:00<00:00, 25.83it/s]
+Epoch 173/1000:  53%|█████▎    | 19/36 [00:00<00:00, 30.99it/s]
+Epoch 173/1000:  67%|██████▋   | 24/36 [00:00<00:00, 36.06it/s]
+Epoch 173/1000:  83%|████████▎ | 30/36 [00:01<00:00, 42.46it/s]
+Epoch 173/1000:  97%|█████████▋| 35/36 [00:01<00:00, 42.73it/s]
+Epoch 173/1000: 100%|██████████| 36/36 [00:01<00:00, 27.99it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 174/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 172, beta = 0.004900, Train MSE: 0.000731, Train CE:0.000000, Train KL:1.254524, Val MSE:0.000827, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 174/1000:   3%|▎         | 1/36 [00:00<00:16,  2.17it/s]
+Epoch 174/1000:  11%|█         | 4/36 [00:00<00:03,  8.48it/s]
+Epoch 174/1000:  25%|██▌       | 9/36 [00:00<00:01, 18.34it/s]
+Epoch 174/1000:  39%|███▉      | 14/36 [00:00<00:00, 26.42it/s]
+Epoch 174/1000:  53%|█████▎    | 19/36 [00:00<00:00, 32.35it/s]
+Epoch 174/1000:  69%|██████▉   | 25/36 [00:01<00:00, 38.63it/s]
+Epoch 174/1000:  86%|████████▌ | 31/36 [00:01<00:00, 43.64it/s]
+Epoch 174/1000: 100%|██████████| 36/36 [00:01<00:00, 45.23it/s]
+Epoch 174/1000: 100%|██████████| 36/36 [00:01<00:00, 28.29it/s]
+epoch: 173, beta = 0.004900, Train MSE: 0.000844, Train CE:0.000011, Train KL:1.192076, Val MSE:0.000952, Val CE:0.000040, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 175/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 175/1000:   3%|▎         | 1/36 [00:00<00:15,  2.24it/s]
+Epoch 175/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.15it/s]
+Epoch 175/1000:  28%|██▊       | 10/36 [00:00<00:01, 19.19it/s]
+Epoch 175/1000:  42%|████▏     | 15/36 [00:00<00:00, 26.74it/s]
+Epoch 175/1000:  58%|█████▊    | 21/36 [00:00<00:00, 34.85it/s]
+Epoch 175/1000:  78%|███████▊  | 28/36 [00:00<00:00, 43.71it/s]
+Epoch 175/1000:  94%|█████████▍| 34/36 [00:01<00:00, 43.46it/s]
+Epoch 175/1000: 100%|██████████| 36/36 [00:01<00:00, 28.10it/s]
+epoch: 174, beta = 0.004900, Train MSE: 0.000819, Train CE:0.000118, Train KL:1.203650, Val MSE:0.001048, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 176/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 176/1000:   3%|▎         | 1/36 [00:00<00:13,  2.52it/s]
+Epoch 176/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.04it/s]
+Epoch 176/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.62it/s]
+Epoch 176/1000:  44%|████▍     | 16/36 [00:00<00:00, 31.58it/s]
+Epoch 176/1000:  61%|██████    | 22/36 [00:00<00:00, 38.68it/s]
+Epoch 176/1000:  78%|███████▊  | 28/36 [00:00<00:00, 42.73it/s]
+Epoch 176/1000:  92%|█████████▏| 33/36 [00:01<00:00, 44.47it/s]
+Epoch 176/1000: 100%|██████████| 36/36 [00:01<00:00, 30.12it/s]
+epoch: 175, beta = 0.004900, Train MSE: 0.000829, Train CE:0.000000, Train KL:1.236092, Val MSE:0.000829, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 177/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 177/1000:   3%|▎         | 1/36 [00:00<00:16,  2.15it/s]
+Epoch 177/1000:  17%|█▋        | 6/36 [00:00<00:02, 12.85it/s]
+Epoch 177/1000:  33%|███▎      | 12/36 [00:00<00:01, 23.00it/s]
+Epoch 177/1000:  53%|█████▎    | 19/36 [00:00<00:00, 33.51it/s]
+Epoch 177/1000:  69%|██████▉   | 25/36 [00:00<00:00, 38.27it/s]
+Epoch 177/1000:  86%|████████▌ | 31/36 [00:01<00:00, 42.17it/s]
+Epoch 177/1000: 100%|██████████| 36/36 [00:01<00:00, 42.60it/s]
+Epoch 177/1000: 100%|██████████| 36/36 [00:01<00:00, 29.00it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 178/1000:   0%|          | 0/36 [00:00<?, ?it/s]Learning rate updated: 0.00046329123015975297
+epoch: 176, beta = 0.004900, Train MSE: 0.000785, Train CE:0.000000, Train KL:1.197621, Val MSE:0.000952, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 178/1000:   3%|▎         | 1/36 [00:00<00:12,  2.70it/s]
+Epoch 178/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.22it/s]
+Epoch 178/1000:  31%|███       | 11/36 [00:00<00:01, 23.36it/s]
+Epoch 178/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.39it/s]
+Epoch 178/1000:  61%|██████    | 22/36 [00:00<00:00, 37.66it/s]
+Epoch 178/1000:  78%|███████▊  | 28/36 [00:00<00:00, 43.67it/s]
+Epoch 178/1000:  94%|█████████▍| 34/36 [00:01<00:00, 46.36it/s]
+Epoch 178/1000: 100%|██████████| 36/36 [00:01<00:00, 30.77it/s]
+epoch: 177, beta = 0.004900, Train MSE: 0.000732, Train CE:0.000001, Train KL:1.197966, Val MSE:0.000738, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 179/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 179/1000:   3%|▎         | 1/36 [00:00<00:12,  2.88it/s]
+Epoch 179/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.42it/s]
+Epoch 179/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.29it/s]
+Epoch 179/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.29it/s]
+Epoch 179/1000:  61%|██████    | 22/36 [00:00<00:00, 36.55it/s]
+Epoch 179/1000:  75%|███████▌  | 27/36 [00:00<00:00, 39.83it/s]
+Epoch 179/1000:  94%|█████████▍| 34/36 [00:00<00:00, 47.99it/s]
+Epoch 179/1000: 100%|██████████| 36/36 [00:01<00:00, 31.99it/s]
+epoch: 178, beta = 0.004900, Train MSE: 0.000784, Train CE:0.000003, Train KL:1.172019, Val MSE:0.000726, Val CE:0.000011, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 180/1000:   3%|▎         | 1/36 [00:00<00:15,  2.25it/s]
+Epoch 180/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.30it/s]
+Epoch 180/1000:  31%|███       | 11/36 [00:00<00:01, 23.43it/s]
+Epoch 180/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.12it/s]
+Epoch 180/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.38it/s]
+Epoch 180/1000:  72%|███████▏  | 26/36 [00:00<00:00, 38.35it/s]
+Epoch 180/1000:  89%|████████▉ | 32/36 [00:01<00:00, 42.93it/s]
+Epoch 180/1000: 100%|██████████| 36/36 [00:01<00:00, 29.74it/s]
+epoch: 179, beta = 0.004900, Train MSE: 0.000736, Train CE:0.000084, Train KL:1.194208, Val MSE:0.000751, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 181/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 181/1000:   3%|▎         | 1/36 [00:00<00:12,  2.79it/s]
+Epoch 181/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.57it/s]
+Epoch 181/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.77it/s]
+Epoch 181/1000:  50%|█████     | 18/36 [00:00<00:00, 34.92it/s]
+Epoch 181/1000:  67%|██████▋   | 24/36 [00:00<00:00, 40.40it/s]
+Epoch 181/1000:  83%|████████▎ | 30/36 [00:00<00:00, 45.47it/s]
+Epoch 181/1000: 100%|██████████| 36/36 [00:01<00:00, 47.22it/s]
+Epoch 181/1000: 100%|██████████| 36/36 [00:01<00:00, 31.89it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 182/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 180, beta = 0.004900, Train MSE: 0.000795, Train CE:0.000209, Train KL:1.192250, Val MSE:0.000874, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 182/1000:   3%|▎         | 1/36 [00:00<00:12,  2.81it/s]
+Epoch 182/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.88it/s]
+Epoch 182/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.10it/s]
+Epoch 182/1000:  50%|█████     | 18/36 [00:00<00:00, 35.08it/s]
+Epoch 182/1000:  64%|██████▍   | 23/36 [00:00<00:00, 37.93it/s]
+Epoch 182/1000:  78%|███████▊  | 28/36 [00:00<00:00, 39.51it/s]
+Epoch 182/1000:  94%|█████████▍| 34/36 [00:01<00:00, 43.75it/s]
+Epoch 182/1000: 100%|██████████| 36/36 [00:01<00:00, 29.96it/s]
+epoch: 181, beta = 0.004900, Train MSE: 0.000737, Train CE:0.000001, Train KL:1.198206, Val MSE:0.000801, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 183/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 183/1000:   3%|▎         | 1/36 [00:00<00:14,  2.49it/s]
+Epoch 183/1000:  22%|██▏       | 8/36 [00:00<00:01, 19.62it/s]
+Epoch 183/1000:  39%|███▉      | 14/36 [00:00<00:00, 30.05it/s]
+Epoch 183/1000:  56%|█████▌    | 20/36 [00:00<00:00, 36.76it/s]
+Epoch 183/1000:  69%|██████▉   | 25/36 [00:00<00:00, 37.54it/s]
+Epoch 183/1000:  83%|████████▎ | 30/36 [00:00<00:00, 39.22it/s]
+Epoch 183/1000:  97%|█████████▋| 35/36 [00:01<00:00, 40.53it/s]
+Epoch 183/1000: 100%|██████████| 36/36 [00:01<00:00, 29.94it/s]
+epoch: 182, beta = 0.004900, Train MSE: 0.000785, Train CE:0.000001, Train KL:1.176126, Val MSE:0.000825, Val CE:0.000054, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 184/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 184/1000:   3%|▎         | 1/36 [00:00<00:12,  2.77it/s]
+Epoch 184/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.09it/s]
+Epoch 184/1000:  36%|███▌      | 13/36 [00:00<00:00, 30.90it/s]
+Epoch 184/1000:  56%|█████▌    | 20/36 [00:00<00:00, 41.73it/s]
+Epoch 184/1000:  72%|███████▏  | 26/36 [00:00<00:00, 44.56it/s]
+Epoch 184/1000:  89%|████████▉ | 32/36 [00:00<00:00, 41.63it/s]
+Epoch 184/1000: 100%|██████████| 36/36 [00:01<00:00, 30.68it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 185/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 183, beta = 0.004900, Train MSE: 0.000770, Train CE:0.000001, Train KL:1.169505, Val MSE:0.000882, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 185/1000:   3%|▎         | 1/36 [00:00<00:12,  2.86it/s]
+Epoch 185/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.62it/s]
+Epoch 185/1000:  31%|███       | 11/36 [00:00<00:00, 26.55it/s]
+Epoch 185/1000:  44%|████▍     | 16/36 [00:00<00:00, 32.98it/s]
+Epoch 185/1000:  58%|█████▊    | 21/36 [00:00<00:00, 36.79it/s]
+Epoch 185/1000:  75%|███████▌  | 27/36 [00:00<00:00, 41.64it/s]
+Epoch 185/1000:  89%|████████▉ | 32/36 [00:01<00:00, 41.85it/s]
+Epoch 185/1000: 100%|██████████| 36/36 [00:01<00:00, 30.65it/s]
+epoch: 184, beta = 0.004900, Train MSE: 0.000817, Train CE:0.000005, Train KL:1.166923, Val MSE:0.000827, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 186/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 186/1000:   3%|▎         | 1/36 [00:00<00:13,  2.62it/s]
+Epoch 186/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.49it/s]
+Epoch 186/1000:  31%|███       | 11/36 [00:00<00:01, 23.40it/s]
+Epoch 186/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.11it/s]
+Epoch 186/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.61it/s]
+Epoch 186/1000:  81%|████████  | 29/36 [00:00<00:00, 43.71it/s]
+Epoch 186/1000:  94%|█████████▍| 34/36 [00:01<00:00, 42.37it/s]
+Epoch 186/1000: 100%|██████████| 36/36 [00:01<00:00, 29.51it/s]
+epoch: 185, beta = 0.004900, Train MSE: 0.000719, Train CE:0.000013, Train KL:1.174166, Val MSE:0.000783, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 187/1000:   3%|▎         | 1/36 [00:00<00:12,  2.71it/s]
+Epoch 187/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.07it/s]
+Epoch 187/1000:  31%|███       | 11/36 [00:00<00:01, 24.56it/s]
+Epoch 187/1000:  50%|█████     | 18/36 [00:00<00:00, 35.52it/s]
+Epoch 187/1000:  64%|██████▍   | 23/36 [00:00<00:00, 38.71it/s]
+Epoch 187/1000:  78%|███████▊  | 28/36 [00:00<00:00, 40.49it/s]
+Epoch 187/1000:  92%|█████████▏| 33/36 [00:01<00:00, 38.98it/s]
+Epoch 187/1000: 100%|██████████| 36/36 [00:01<00:00, 29.22it/s]
+epoch: 186, beta = 0.004900, Train MSE: 0.002059, Train CE:0.000001, Train KL:1.330445, Val MSE:0.000923, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 188/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 188/1000:   3%|▎         | 1/36 [00:00<00:13,  2.57it/s]
+Epoch 188/1000:  11%|█         | 4/36 [00:00<00:03,  9.86it/s]
+Epoch 188/1000:  22%|██▏       | 8/36 [00:00<00:01, 17.87it/s]
+Epoch 188/1000:  36%|███▌      | 13/36 [00:00<00:00, 25.33it/s]
+Epoch 188/1000:  53%|█████▎    | 19/36 [00:00<00:00, 33.54it/s]
+Epoch 188/1000:  69%|██████▉   | 25/36 [00:00<00:00, 38.54it/s]
+Epoch 188/1000:  83%|████████▎ | 30/36 [00:01<00:00, 39.32it/s]
+Epoch 188/1000:  97%|█████████▋| 35/36 [00:01<00:00, 34.61it/s]
+Epoch 188/1000: 100%|██████████| 36/36 [00:01<00:00, 24.63it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 189/1000:   0%|          | 0/36 [00:00<?, ?it/s]Learning rate updated: 0.0004401266686517653
+epoch: 187, beta = 0.004900, Train MSE: 0.000726, Train CE:0.000004, Train KL:1.474459, Val MSE:0.000669, Val CE:0.000098, Train ACC:1.000000, Val ACC:0.999944
+
+Epoch 189/1000:   3%|▎         | 1/36 [00:00<00:15,  2.30it/s]
+Epoch 189/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.78it/s]
+Epoch 189/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.58it/s]
+Epoch 189/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.48it/s]
+Epoch 189/1000:  61%|██████    | 22/36 [00:00<00:00, 34.53it/s]
+Epoch 189/1000:  75%|███████▌  | 27/36 [00:00<00:00, 36.43it/s]
+Epoch 189/1000:  89%|████████▉ | 32/36 [00:01<00:00, 38.24it/s]
+Epoch 189/1000: 100%|██████████| 36/36 [00:01<00:00, 27.91it/s]
+epoch: 188, beta = 0.004900, Train MSE: 0.000652, Train CE:0.000063, Train KL:1.359440, Val MSE:0.000688, Val CE:0.000007, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 190/1000:  19%|█▉        | 7/36 [00:00<00:01, 15.74it/s]
+Epoch 190/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.34it/s]
+Epoch 190/1000:  47%|████▋     | 17/36 [00:00<00:00, 29.10it/s]
+Epoch 190/1000:  61%|██████    | 22/36 [00:00<00:00, 32.74it/s]
+Epoch 190/1000:  75%|███████▌  | 27/36 [00:01<00:00, 33.19it/s]
+Epoch 190/1000:  86%|████████▌ | 31/36 [00:01<00:00, 34.85it/s]
+Epoch 190/1000: 100%|██████████| 36/36 [00:01<00:00, 37.66it/s]
+Epoch 190/1000: 100%|██████████| 36/36 [00:01<00:00, 26.90it/s]
+epoch: 189, beta = 0.004900, Train MSE: 0.000689, Train CE:0.000227, Train KL:1.292411, Val MSE:0.000901, Val CE:0.000005, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 191/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 191/1000:   3%|▎         | 1/36 [00:00<00:12,  2.77it/s]
+Epoch 191/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.15it/s]
+Epoch 191/1000:  25%|██▌       | 9/36 [00:00<00:01, 20.30it/s]
+Epoch 191/1000:  39%|███▉      | 14/36 [00:00<00:00, 28.31it/s]
+Epoch 191/1000:  53%|█████▎    | 19/36 [00:00<00:00, 33.61it/s]
+Epoch 191/1000:  67%|██████▋   | 24/36 [00:00<00:00, 37.91it/s]
+Epoch 191/1000:  83%|████████▎ | 30/36 [00:01<00:00, 42.08it/s]
+Epoch 191/1000:  97%|█████████▋| 35/36 [00:01<00:00, 42.21it/s]
+Epoch 191/1000: 100%|██████████| 36/36 [00:01<00:00, 29.71it/s]
+epoch: 190, beta = 0.004900, Train MSE: 0.000728, Train CE:0.000006, Train KL:1.257649, Val MSE:0.000751, Val CE:0.000154, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 192/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 192/1000:   3%|▎         | 1/36 [00:00<00:15,  2.29it/s]
+Epoch 192/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.20it/s]
+Epoch 192/1000:  28%|██▊       | 10/36 [00:00<00:01, 20.63it/s]
+Epoch 192/1000:  42%|████▏     | 15/36 [00:00<00:00, 27.15it/s]
+Epoch 192/1000:  58%|█████▊    | 21/36 [00:00<00:00, 34.07it/s]
+Epoch 192/1000:  75%|███████▌  | 27/36 [00:01<00:00, 38.42it/s]
+Epoch 192/1000:  89%|████████▉ | 32/36 [00:01<00:00, 38.59it/s]
+Epoch 192/1000: 100%|██████████| 36/36 [00:01<00:00, 27.20it/s]
+epoch: 191, beta = 0.004900, Train MSE: 0.000745, Train CE:0.000004, Train KL:1.224910, Val MSE:0.000844, Val CE:0.000010, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 193/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 193/1000:   3%|▎         | 1/36 [00:00<00:12,  2.70it/s]
+Epoch 193/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.89it/s]
+Epoch 193/1000:  31%|███       | 11/36 [00:00<00:01, 23.25it/s]
+Epoch 193/1000:  47%|████▋     | 17/36 [00:00<00:00, 30.85it/s]
+Epoch 193/1000:  61%|██████    | 22/36 [00:00<00:00, 34.58it/s]
+Epoch 193/1000:  75%|███████▌  | 27/36 [00:00<00:00, 36.22it/s]
+Epoch 193/1000:  89%|████████▉ | 32/36 [00:01<00:00, 38.38it/s]
+Epoch 193/1000: 100%|██████████| 36/36 [00:01<00:00, 29.22it/s]
+epoch: 192, beta = 0.004900, Train MSE: 0.000805, Train CE:0.000057, Train KL:1.234692, Val MSE:0.000770, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 194/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 194/1000:   3%|▎         | 1/36 [00:00<00:14,  2.35it/s]
+Epoch 194/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.96it/s]
+Epoch 194/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.14it/s]
+Epoch 194/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.37it/s]
+Epoch 194/1000:  61%|██████    | 22/36 [00:00<00:00, 31.42it/s]
+Epoch 194/1000:  75%|███████▌  | 27/36 [00:01<00:00, 36.06it/s]
+Epoch 194/1000:  89%|████████▉ | 32/36 [00:01<00:00, 38.41it/s]
+Epoch 194/1000: 100%|██████████| 36/36 [00:01<00:00, 28.16it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 195/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 193, beta = 0.004900, Train MSE: 0.000743, Train CE:0.000004, Train KL:1.198154, Val MSE:0.000684, Val CE:0.000009, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 195/1000:   3%|▎         | 1/36 [00:00<00:11,  3.03it/s]
+Epoch 195/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.83it/s]
+Epoch 195/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.69it/s]
+Epoch 195/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.08it/s]
+Epoch 195/1000:  61%|██████    | 22/36 [00:00<00:00, 35.39it/s]
+Epoch 195/1000:  75%|███████▌  | 27/36 [00:00<00:00, 38.98it/s]
+Epoch 195/1000:  94%|█████████▍| 34/36 [00:01<00:00, 46.65it/s]
+Epoch 195/1000: 100%|██████████| 36/36 [00:01<00:00, 32.98it/s]
+epoch: 194, beta = 0.004900, Train MSE: 0.000680, Train CE:0.000008, Train KL:1.212493, Val MSE:0.000837, Val CE:0.000026, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 196/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 196/1000:   3%|▎         | 1/36 [00:00<00:12,  2.80it/s]
+Epoch 196/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.59it/s]
+Epoch 196/1000:  31%|███       | 11/36 [00:00<00:01, 24.62it/s]
+Epoch 196/1000:  42%|████▏     | 15/36 [00:00<00:00, 27.27it/s]
+Epoch 196/1000:  53%|█████▎    | 19/36 [00:00<00:00, 30.43it/s]
+Epoch 196/1000:  72%|███████▏  | 26/36 [00:00<00:00, 39.37it/s]
+Epoch 196/1000:  97%|█████████▋| 35/36 [00:01<00:00, 51.36it/s]
+Epoch 196/1000: 100%|██████████| 36/36 [00:01<00:00, 30.73it/s]
+epoch: 195, beta = 0.004900, Train MSE: 0.000733, Train CE:0.000077, Train KL:1.199450, Val MSE:0.000801, Val CE:0.000006, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 197/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 197/1000:   3%|▎         | 1/36 [00:00<00:14,  2.37it/s]
+Epoch 197/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.75it/s]
+Epoch 197/1000:  25%|██▌       | 9/36 [00:00<00:01, 18.79it/s]
+Epoch 197/1000:  36%|███▌      | 13/36 [00:00<00:00, 23.92it/s]
+Epoch 197/1000:  47%|████▋     | 17/36 [00:00<00:00, 27.30it/s]
+Epoch 197/1000:  58%|█████▊    | 21/36 [00:00<00:00, 29.47it/s]
+Epoch 197/1000:  72%|███████▏  | 26/36 [00:01<00:00, 33.13it/s]
+Epoch 197/1000:  83%|████████▎ | 30/36 [00:01<00:00, 34.30it/s]
+Epoch 197/1000:  97%|█████████▋| 35/36 [00:01<00:00, 37.43it/s]
+Epoch 197/1000: 100%|██████████| 36/36 [00:01<00:00, 25.28it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 198/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 196, beta = 0.004900, Train MSE: 0.000762, Train CE:0.000029, Train KL:1.192256, Val MSE:0.000884, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 198/1000:   3%|▎         | 1/36 [00:00<00:16,  2.06it/s]
+Epoch 198/1000:  14%|█▍        | 5/36 [00:00<00:03, 10.32it/s]
+Epoch 198/1000:  25%|██▌       | 9/36 [00:00<00:01, 16.40it/s]
+Epoch 198/1000:  36%|███▌      | 13/36 [00:00<00:01, 20.92it/s]
+Epoch 198/1000:  47%|████▋     | 17/36 [00:00<00:00, 24.92it/s]
+Epoch 198/1000:  61%|██████    | 22/36 [00:01<00:00, 30.29it/s]
+Epoch 198/1000:  72%|███████▏  | 26/36 [00:01<00:00, 31.51it/s]
+Epoch 198/1000:  83%|████████▎ | 30/36 [00:01<00:00, 33.59it/s]
+Epoch 198/1000:  97%|█████████▋| 35/36 [00:01<00:00, 37.14it/s]
+Epoch 198/1000: 100%|██████████| 36/36 [00:01<00:00, 24.10it/s]
+epoch: 197, beta = 0.004900, Train MSE: 0.000746, Train CE:0.000000, Train KL:1.200728, Val MSE:0.000795, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 199/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 199/1000:   3%|▎         | 1/36 [00:00<00:13,  2.53it/s]
+Epoch 199/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.84it/s]
+Epoch 199/1000:  25%|██▌       | 9/36 [00:00<00:01, 18.00it/s]
+Epoch 199/1000:  39%|███▉      | 14/36 [00:00<00:00, 24.54it/s]
+Epoch 199/1000:  53%|█████▎    | 19/36 [00:00<00:00, 29.36it/s]
+Epoch 199/1000:  64%|██████▍   | 23/36 [00:00<00:00, 32.02it/s]
+Epoch 199/1000:  78%|███████▊  | 28/36 [00:01<00:00, 35.11it/s]
+Epoch 199/1000:  92%|█████████▏| 33/36 [00:01<00:00, 36.63it/s]
+Epoch 199/1000: 100%|██████████| 36/36 [00:01<00:00, 26.15it/s]
+Learning rate updated: 0.00041812033521917703
+epoch: 198, beta = 0.004900, Train MSE: 0.000757, Train CE:0.000001, Train KL:1.189704, Val MSE:0.000846, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 200/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 200/1000:   3%|▎         | 1/36 [00:00<00:11,  2.97it/s]
+Epoch 200/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.23it/s]
+Epoch 200/1000:  25%|██▌       | 9/36 [00:00<00:01, 20.10it/s]
+Epoch 200/1000:  36%|███▌      | 13/36 [00:00<00:00, 23.73it/s]
+Epoch 200/1000:  47%|████▋     | 17/36 [00:00<00:00, 27.77it/s]
+Epoch 200/1000:  61%|██████    | 22/36 [00:00<00:00, 33.16it/s]
+Epoch 200/1000:  72%|███████▏  | 26/36 [00:01<00:00, 34.67it/s]
+Epoch 200/1000:  86%|████████▌ | 31/36 [00:01<00:00, 36.67it/s]
+Epoch 200/1000: 100%|██████████| 36/36 [00:01<00:00, 39.13it/s]
+Epoch 200/1000: 100%|██████████| 36/36 [00:01<00:00, 27.39it/s]
+epoch: 199, beta = 0.004900, Train MSE: 0.000789, Train CE:0.000012, Train KL:1.179041, Val MSE:0.000745, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 201/1000:   0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 201/1000:  22%|██▏       | 8/36 [00:00<00:01, 17.13it/s]
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+epoch: 200, beta = 0.004900, Train MSE: 0.000722, Train CE:0.000016, Train KL:1.171914, Val MSE:0.001356, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
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+Epoch 202/1000:  31%|███       | 11/36 [00:00<00:01, 20.95it/s]
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+Epoch 202/1000:  67%|██████▋   | 24/36 [00:01<00:00, 29.86it/s]
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+epoch: 201, beta = 0.004900, Train MSE: 0.000912, Train CE:0.000001, Train KL:1.207307, Val MSE:0.000810, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
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+epoch: 202, beta = 0.004900, Train MSE: 0.000796, Train CE:0.000002, Train KL:1.197722, Val MSE:0.000798, Val CE:0.000007, Train ACC:1.000000, Val ACC:1.000000
+
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+
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+epoch: 204, beta = 0.004900, Train MSE: 0.000743, Train CE:0.000058, Train KL:1.174844, Val MSE:0.000843, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
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+Epoch 207/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 205, beta = 0.004900, Train MSE: 0.000759, Train CE:0.000000, Train KL:1.169342, Val MSE:0.000882, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
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+Epoch 207/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.70it/s]
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+
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 210/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.38it/s]
+Epoch 210/1000:  31%|███       | 11/36 [00:00<00:01, 24.97it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 211/1000:   0%|          | 0/36 [00:00<?, ?it/s]Learning rate updated: 0.00039721431845821814
+epoch: 209, beta = 0.004900, Train MSE: 0.000751, Train CE:0.000003, Train KL:1.272411, Val MSE:0.000782, Val CE:0.000241, Train ACC:1.000000, Val ACC:0.999944
+
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+Epoch 211/1000:  11%|█         | 4/36 [00:00<00:02, 11.13it/s]
+Epoch 211/1000:  22%|██▏       | 8/36 [00:00<00:01, 19.65it/s]
+Epoch 211/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.23it/s]
+Epoch 211/1000:  44%|████▍     | 16/36 [00:00<00:00, 29.48it/s]
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+Epoch 211/1000:  69%|██████▉   | 25/36 [00:00<00:00, 35.22it/s]
+Epoch 211/1000:  81%|████████  | 29/36 [00:01<00:00, 35.30it/s]
+Epoch 211/1000:  92%|█████████▏| 33/36 [00:01<00:00, 33.13it/s]
+Epoch 211/1000: 100%|██████████| 36/36 [00:01<00:00, 25.98it/s]
+epoch: 210, beta = 0.004900, Train MSE: 0.000807, Train CE:0.000088, Train KL:1.237805, Val MSE:0.000777, Val CE:0.000006, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 212/1000:  56%|█████▌    | 20/36 [00:00<00:00, 35.51it/s]
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+Epoch 212/1000: 100%|██████████| 36/36 [00:01<00:00, 26.80it/s]
+epoch: 211, beta = 0.004900, Train MSE: 0.000736, Train CE:0.000006, Train KL:1.228070, Val MSE:0.000870, Val CE:0.000024, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 213/1000:  14%|█▍        | 5/36 [00:00<00:02, 14.02it/s]
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+Epoch 213/1000:  50%|█████     | 18/36 [00:00<00:00, 31.76it/s]
+Epoch 213/1000:  64%|██████▍   | 23/36 [00:00<00:00, 35.96it/s]
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+Epoch 213/1000:  92%|█████████▏| 33/36 [00:01<00:00, 35.12it/s]
+Epoch 213/1000: 100%|██████████| 36/36 [00:01<00:00, 27.32it/s]
+epoch: 212, beta = 0.004900, Train MSE: 0.000770, Train CE:0.000001, Train KL:1.193365, Val MSE:0.000881, Val CE:0.000012, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 214/1000:   3%|▎         | 1/36 [00:00<00:13,  2.60it/s]
+Epoch 214/1000:  11%|█         | 4/36 [00:00<00:03,  9.92it/s]
+Epoch 214/1000:  25%|██▌       | 9/36 [00:00<00:01, 20.25it/s]
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+Epoch 214/1000:  61%|██████    | 22/36 [00:00<00:00, 33.84it/s]
+Epoch 214/1000:  72%|███████▏  | 26/36 [00:01<00:00, 34.43it/s]
+Epoch 214/1000:  83%|████████▎ | 30/36 [00:01<00:00, 35.87it/s]
+Epoch 214/1000:  94%|█████████▍| 34/36 [00:01<00:00, 36.81it/s]
+Epoch 214/1000: 100%|██████████| 36/36 [00:01<00:00, 26.53it/s]
+epoch: 213, beta = 0.004900, Train MSE: 0.000749, Train CE:0.000131, Train KL:1.189369, Val MSE:0.000739, Val CE:0.000016, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 215/1000:   3%|▎         | 1/36 [00:00<00:15,  2.27it/s]
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+Epoch 215/1000:  25%|██▌       | 9/36 [00:00<00:01, 18.42it/s]
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+Epoch 215/1000:  64%|██████▍   | 23/36 [00:00<00:00, 32.88it/s]
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+Epoch 215/1000:  94%|█████████▍| 34/36 [00:01<00:00, 40.67it/s]
+Epoch 215/1000: 100%|██████████| 36/36 [00:01<00:00, 26.93it/s]
+epoch: 214, beta = 0.004900, Train MSE: 0.000737, Train CE:0.000000, Train KL:1.206573, Val MSE:0.000908, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 216/1000:  75%|███████▌  | 27/36 [00:01<00:00, 34.35it/s]
+Epoch 216/1000:  89%|████████▉ | 32/36 [00:01<00:00, 36.78it/s]
+Epoch 216/1000: 100%|██████████| 36/36 [00:01<00:00, 35.01it/s]
+Epoch 216/1000: 100%|██████████| 36/36 [00:01<00:00, 26.32it/s]
+epoch: 215, beta = 0.004900, Train MSE: 0.000770, Train CE:0.000000, Train KL:1.181971, Val MSE:0.000774, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 217/1000:   3%|▎         | 1/36 [00:00<00:16,  2.18it/s]
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+Epoch 217/1000:  22%|██▏       | 8/36 [00:00<00:01, 15.91it/s]
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+Epoch 217/1000:  81%|████████  | 29/36 [00:01<00:00, 35.63it/s]
+Epoch 217/1000:  97%|█████████▋| 35/36 [00:01<00:00, 41.44it/s]
+Epoch 217/1000: 100%|██████████| 36/36 [00:01<00:00, 25.53it/s]
+epoch: 216, beta = 0.004900, Train MSE: 0.000850, Train CE:0.000001, Train KL:1.184922, Val MSE:0.000807, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 218/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 218/1000:   3%|▎         | 1/36 [00:00<00:13,  2.54it/s]
+Epoch 218/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.95it/s]
+Epoch 218/1000:  25%|██▌       | 9/36 [00:00<00:01, 18.33it/s]
+Epoch 218/1000:  36%|███▌      | 13/36 [00:00<00:01, 22.85it/s]
+Epoch 218/1000:  50%|█████     | 18/36 [00:00<00:00, 27.76it/s]
+Epoch 218/1000:  61%|██████    | 22/36 [00:01<00:00, 28.65it/s]
+Epoch 218/1000:  72%|███████▏  | 26/36 [00:01<00:00, 31.41it/s]
+Epoch 218/1000:  83%|████████▎ | 30/36 [00:01<00:00, 33.35it/s]
+Epoch 218/1000:  94%|█████████▍| 34/36 [00:01<00:00, 34.24it/s]
+Epoch 218/1000: 100%|██████████| 36/36 [00:01<00:00, 24.11it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 219/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 217, beta = 0.004900, Train MSE: 0.000751, Train CE:0.000003, Train KL:1.175727, Val MSE:0.000739, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 219/1000:   3%|▎         | 1/36 [00:00<00:14,  2.35it/s]
+Epoch 219/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.69it/s]
+Epoch 219/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.02it/s]
+Epoch 219/1000:  42%|████▏     | 15/36 [00:00<00:00, 26.85it/s]
+Epoch 219/1000:  53%|█████▎    | 19/36 [00:00<00:00, 29.25it/s]
+Epoch 219/1000:  67%|██████▋   | 24/36 [00:01<00:00, 32.45it/s]
+Epoch 219/1000:  78%|███████▊  | 28/36 [00:01<00:00, 32.13it/s]
+Epoch 219/1000:  89%|████████▉ | 32/36 [00:01<00:00, 31.27it/s]
+Epoch 219/1000: 100%|██████████| 36/36 [00:01<00:00, 30.52it/s]
+Epoch 219/1000: 100%|██████████| 36/36 [00:01<00:00, 23.74it/s]
+epoch: 218, beta = 0.004900, Train MSE: 0.000759, Train CE:0.000019, Train KL:1.169197, Val MSE:0.000779, Val CE:0.000008, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 220/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 220/1000:   3%|▎         | 1/36 [00:00<00:15,  2.19it/s]
+Epoch 220/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.01it/s]
+Epoch 220/1000:  25%|██▌       | 9/36 [00:00<00:01, 17.16it/s]
+Epoch 220/1000:  36%|███▌      | 13/36 [00:00<00:01, 22.25it/s]
+Epoch 220/1000:  47%|████▋     | 17/36 [00:00<00:00, 26.01it/s]
+Epoch 220/1000:  58%|█████▊    | 21/36 [00:01<00:00, 27.83it/s]
+Epoch 220/1000:  69%|██████▉   | 25/36 [00:01<00:00, 29.76it/s]
+Epoch 220/1000:  81%|████████  | 29/36 [00:01<00:00, 30.10it/s]
+Epoch 220/1000:  92%|█████████▏| 33/36 [00:01<00:00, 32.49it/s]
+Epoch 220/1000: 100%|██████████| 36/36 [00:01<00:00, 23.12it/s]
+epoch: 219, beta = 0.004900, Train MSE: 0.000751, Train CE:0.000001, Train KL:1.168445, Val MSE:0.000687, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 221/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 221/1000:   3%|▎         | 1/36 [00:00<00:15,  2.25it/s]
+Epoch 221/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.06it/s]
+Epoch 221/1000:  28%|██▊       | 10/36 [00:00<00:01, 19.45it/s]
+Epoch 221/1000:  39%|███▉      | 14/36 [00:00<00:00, 22.35it/s]
+Epoch 221/1000:  47%|████▋     | 17/36 [00:00<00:00, 23.59it/s]
+Epoch 221/1000:  56%|█████▌    | 20/36 [00:01<00:00, 24.68it/s]
+Epoch 221/1000:  67%|██████▋   | 24/36 [00:01<00:00, 27.74it/s]
+Epoch 221/1000:  78%|███████▊  | 28/36 [00:01<00:00, 28.04it/s]
+Epoch 221/1000:  89%|████████▉ | 32/36 [00:01<00:00, 29.38it/s]
+Epoch 221/1000: 100%|██████████| 36/36 [00:01<00:00, 30.29it/s]
+Epoch 221/1000: 100%|██████████| 36/36 [00:01<00:00, 22.40it/s]
+Learning rate updated: 0.0003773536025353072
+epoch: 220, beta = 0.004900, Train MSE: 0.000689, Train CE:0.000008, Train KL:1.177715, Val MSE:0.000736, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 222/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 222/1000:   3%|▎         | 1/36 [00:00<00:13,  2.57it/s]
+Epoch 222/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.93it/s]
+Epoch 222/1000:  22%|██▏       | 8/36 [00:00<00:01, 16.51it/s]
+Epoch 222/1000:  33%|███▎      | 12/36 [00:00<00:01, 21.67it/s]
+Epoch 222/1000:  44%|████▍     | 16/36 [00:00<00:00, 25.56it/s]
+Epoch 222/1000:  56%|█████▌    | 20/36 [00:00<00:00, 28.99it/s]
+Epoch 222/1000:  67%|██████▋   | 24/36 [00:01<00:00, 31.52it/s]
+Epoch 222/1000:  78%|███████▊  | 28/36 [00:01<00:00, 32.56it/s]
+Epoch 222/1000:  89%|████████▉ | 32/36 [00:01<00:00, 31.47it/s]
+Epoch 222/1000: 100%|██████████| 36/36 [00:01<00:00, 30.36it/s]
+Epoch 222/1000: 100%|██████████| 36/36 [00:01<00:00, 23.37it/s]
+epoch: 221, beta = 0.004900, Train MSE: 0.001129, Train CE:0.000003, Train KL:1.273363, Val MSE:0.000670, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+  0%|          | 0/36 [00:00<?, ?it/s]
+
+Epoch 223/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 223/1000:   3%|▎         | 1/36 [00:00<00:12,  2.90it/s]
+Epoch 223/1000:  11%|█         | 4/36 [00:00<00:03, 10.49it/s]
+Epoch 223/1000:  22%|██▏       | 8/36 [00:00<00:01, 18.22it/s]
+Epoch 223/1000:  36%|███▌      | 13/36 [00:00<00:00, 25.40it/s]
+Epoch 223/1000:  47%|████▋     | 17/36 [00:00<00:00, 28.66it/s]
+Epoch 223/1000:  58%|█████▊    | 21/36 [00:00<00:00, 31.04it/s]
+Epoch 223/1000:  69%|██████▉   | 25/36 [00:01<00:00, 31.00it/s]
+Epoch 223/1000:  81%|████████  | 29/36 [00:01<00:00, 31.65it/s]
+Epoch 223/1000:  92%|█████████▏| 33/36 [00:01<00:00, 32.35it/s]
+Epoch 223/1000: 100%|██████████| 36/36 [00:01<00:00, 24.62it/s]
+epoch: 222, beta = 0.004900, Train MSE: 0.000598, Train CE:0.000034, Train KL:1.269678, Val MSE:0.000662, Val CE:0.000010, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 224/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 224/1000:   3%|▎         | 1/36 [00:00<00:11,  3.05it/s]
+Epoch 224/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.69it/s]
+Epoch 224/1000:  28%|██▊       | 10/36 [00:00<00:01, 23.37it/s]
+Epoch 224/1000:  39%|███▉      | 14/36 [00:00<00:00, 27.54it/s]
+Epoch 224/1000:  53%|█████▎    | 19/36 [00:00<00:00, 32.84it/s]
+Epoch 224/1000:  64%|██████▍   | 23/36 [00:00<00:00, 33.82it/s]
+Epoch 224/1000:  75%|███████▌  | 27/36 [00:01<00:00, 33.37it/s]
+Epoch 224/1000:  86%|████████▌ | 31/36 [00:01<00:00, 33.34it/s]
+Epoch 224/1000: 100%|██████████| 36/36 [00:01<00:00, 36.22it/s]
+Epoch 224/1000: 100%|██████████| 36/36 [00:01<00:00, 26.36it/s]
+epoch: 223, beta = 0.004900, Train MSE: 0.000644, Train CE:0.000005, Train KL:1.220786, Val MSE:0.000680, Val CE:0.000009, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 225/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 225/1000:   3%|▎         | 1/36 [00:00<00:15,  2.23it/s]
+Epoch 225/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.30it/s]
+Epoch 225/1000:  28%|██▊       | 10/36 [00:00<00:01, 20.20it/s]
+Epoch 225/1000:  39%|███▉      | 14/36 [00:00<00:00, 25.17it/s]
+Epoch 225/1000:  50%|█████     | 18/36 [00:00<00:00, 26.84it/s]
+Epoch 225/1000:  61%|██████    | 22/36 [00:01<00:00, 28.49it/s]
+Epoch 225/1000:  72%|███████▏  | 26/36 [00:01<00:00, 31.18it/s]
+Epoch 225/1000:  83%|████████▎ | 30/36 [00:01<00:00, 33.26it/s]
+Epoch 225/1000:  94%|█████████▍| 34/36 [00:01<00:00, 33.89it/s]
+Epoch 225/1000: 100%|██████████| 36/36 [00:01<00:00, 24.04it/s]
+epoch: 224, beta = 0.004900, Train MSE: 0.000719, Train CE:0.000139, Train KL:1.199688, Val MSE:0.000983, Val CE:0.000035, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 226/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 226/1000:   3%|▎         | 1/36 [00:00<00:10,  3.23it/s]
+Epoch 226/1000:  11%|█         | 4/36 [00:00<00:02, 11.49it/s]
+Epoch 226/1000:  22%|██▏       | 8/36 [00:00<00:01, 19.17it/s]
+Epoch 226/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.44it/s]
+Epoch 226/1000:  44%|████▍     | 16/36 [00:00<00:00, 27.13it/s]
+Epoch 226/1000:  56%|█████▌    | 20/36 [00:00<00:00, 29.50it/s]
+Epoch 226/1000:  67%|██████▋   | 24/36 [00:00<00:00, 31.02it/s]
+Epoch 226/1000:  78%|███████▊  | 28/36 [00:01<00:00, 31.93it/s]
+Epoch 226/1000:  92%|█████████▏| 33/36 [00:01<00:00, 35.14it/s]epoch: 225, beta = 0.004900, Train MSE: 0.000712, Train CE:0.000000, Train KL:1.216526, Val MSE:0.000693, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 226/1000: 100%|██████████| 36/36 [00:01<00:00, 24.90it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 227/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 227/1000:   3%|▎         | 1/36 [00:00<00:10,  3.21it/s]
+Epoch 227/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.97it/s]
+Epoch 227/1000:  22%|██▏       | 8/36 [00:00<00:01, 18.40it/s]
+Epoch 227/1000:  33%|███▎      | 12/36 [00:00<00:01, 23.64it/s]
+Epoch 227/1000:  44%|████▍     | 16/36 [00:00<00:00, 28.06it/s]
+Epoch 227/1000:  56%|█████▌    | 20/36 [00:00<00:00, 29.63it/s]
+Epoch 227/1000:  67%|██████▋   | 24/36 [00:00<00:00, 32.38it/s]
+Epoch 227/1000:  78%|███████▊  | 28/36 [00:01<00:00, 33.66it/s]
+Epoch 227/1000:  89%|████████▉ | 32/36 [00:01<00:00, 33.73it/s]
+Epoch 227/1000: 100%|██████████| 36/36 [00:01<00:00, 26.03it/s]
+epoch: 226, beta = 0.004900, Train MSE: 0.000782, Train CE:0.000001, Train KL:1.184260, Val MSE:0.009467, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 228/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 228/1000:   3%|▎         | 1/36 [00:00<00:11,  3.10it/s]
+Epoch 228/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.34it/s]
+Epoch 228/1000:  25%|██▌       | 9/36 [00:00<00:01, 20.21it/s]
+Epoch 228/1000:  36%|███▌      | 13/36 [00:00<00:00, 25.03it/s]
+Epoch 228/1000:  47%|████▋     | 17/36 [00:00<00:00, 27.54it/s]
+Epoch 228/1000:  58%|█████▊    | 21/36 [00:00<00:00, 29.55it/s]
+Epoch 228/1000:  69%|██████▉   | 25/36 [00:01<00:00, 30.19it/s]
+Epoch 228/1000:  81%|████████  | 29/36 [00:01<00:00, 31.01it/s]
+Epoch 228/1000:  94%|█████████▍| 34/36 [00:01<00:00, 35.60it/s]
+Epoch 228/1000: 100%|██████████| 36/36 [00:01<00:00, 26.69it/s]
+epoch: 227, beta = 0.004900, Train MSE: 0.003231, Train CE:0.000001, Train KL:1.381431, Val MSE:0.000955, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 229/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 229/1000:   3%|▎         | 1/36 [00:00<00:16,  2.11it/s]
+Epoch 229/1000:  14%|█▍        | 5/36 [00:00<00:02, 10.78it/s]
+Epoch 229/1000:  25%|██▌       | 9/36 [00:00<00:01, 17.64it/s]
+Epoch 229/1000:  39%|███▉      | 14/36 [00:00<00:00, 24.02it/s]
+Epoch 229/1000:  50%|█████     | 18/36 [00:00<00:00, 25.24it/s]
+Epoch 229/1000:  61%|██████    | 22/36 [00:01<00:00, 27.52it/s]
+Epoch 229/1000:  75%|███████▌  | 27/36 [00:01<00:00, 31.11it/s]
+Epoch 229/1000:  89%|████████▉ | 32/36 [00:01<00:00, 35.10it/s]
+Epoch 229/1000: 100%|██████████| 36/36 [00:01<00:00, 24.01it/s]
+epoch: 228, beta = 0.004900, Train MSE: 0.000988, Train CE:0.000224, Train KL:1.452014, Val MSE:0.000733, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 230/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 230/1000:   3%|▎         | 1/36 [00:00<00:13,  2.64it/s]
+Epoch 230/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.10it/s]
+Epoch 230/1000:  25%|██▌       | 9/36 [00:00<00:01, 18.27it/s]
+Epoch 230/1000:  33%|███▎      | 12/36 [00:00<00:01, 21.02it/s]
+Epoch 230/1000:  42%|████▏     | 15/36 [00:00<00:00, 22.88it/s]
+Epoch 230/1000:  53%|█████▎    | 19/36 [00:00<00:00, 27.32it/s]
+Epoch 230/1000:  67%|██████▋   | 24/36 [00:01<00:00, 31.80it/s]
+Epoch 230/1000:  81%|████████  | 29/36 [00:01<00:00, 36.29it/s]
+Epoch 230/1000:  94%|█████████▍| 34/36 [00:01<00:00, 37.25it/s]
+Epoch 230/1000: 100%|██████████| 36/36 [00:01<00:00, 25.17it/s]
+epoch: 229, beta = 0.004900, Train MSE: 0.000708, Train CE:0.000001, Train KL:1.404836, Val MSE:0.000725, Val CE:0.000005, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 231/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 231/1000:   3%|▎         | 1/36 [00:00<00:14,  2.49it/s]
+Epoch 231/1000:  11%|█         | 4/36 [00:00<00:03,  9.71it/s]
+Epoch 231/1000:  22%|██▏       | 8/36 [00:00<00:01, 16.94it/s]
+Epoch 231/1000:  33%|███▎      | 12/36 [00:00<00:01, 21.96it/s]
+Epoch 231/1000:  44%|████▍     | 16/36 [00:00<00:00, 26.35it/s]
+Epoch 231/1000:  56%|█████▌    | 20/36 [00:00<00:00, 29.38it/s]
+Epoch 231/1000:  67%|██████▋   | 24/36 [00:01<00:00, 31.40it/s]
+Epoch 231/1000:  81%|████████  | 29/36 [00:01<00:00, 34.92it/s]
+Epoch 231/1000:  92%|█████████▏| 33/36 [00:01<00:00, 35.99it/s]
+Epoch 231/1000: 100%|██████████| 36/36 [00:01<00:00, 24.38it/s]
+epoch: 230, beta = 0.004900, Train MSE: 0.000710, Train CE:0.000002, Train KL:1.347552, Val MSE:0.000719, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 232/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 232/1000:   3%|▎         | 1/36 [00:00<00:14,  2.49it/s]
+Epoch 232/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.57it/s]
+Epoch 232/1000:  25%|██▌       | 9/36 [00:00<00:01, 18.33it/s]
+Epoch 232/1000:  36%|███▌      | 13/36 [00:00<00:01, 22.53it/s]
+Epoch 232/1000:  47%|████▋     | 17/36 [00:00<00:00, 25.76it/s]
+Epoch 232/1000:  61%|██████    | 22/36 [00:01<00:00, 30.29it/s]
+Epoch 232/1000:  75%|███████▌  | 27/36 [00:01<00:00, 33.77it/s]
+Epoch 232/1000:  86%|████████▌ | 31/36 [00:01<00:00, 32.32it/s]
+Epoch 232/1000:  97%|█████████▋| 35/36 [00:01<00:00, 33.82it/s]
+Epoch 232/1000: 100%|██████████| 36/36 [00:01<00:00, 24.43it/s]
+Learning rate updated: 0.0003584859224085418
+epoch: 231, beta = 0.004900, Train MSE: 0.000719, Train CE:0.000020, Train KL:1.308638, Val MSE:0.000743, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 233/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 233/1000:   3%|▎         | 1/36 [00:00<00:14,  2.39it/s]
+Epoch 233/1000:  11%|█         | 4/36 [00:00<00:03,  9.24it/s]
+Epoch 233/1000:  22%|██▏       | 8/36 [00:00<00:01, 15.96it/s]
+Epoch 233/1000:  31%|███       | 11/36 [00:00<00:01, 19.32it/s]
+Epoch 233/1000:  42%|████▏     | 15/36 [00:00<00:00, 23.64it/s]
+Epoch 233/1000:  56%|█████▌    | 20/36 [00:00<00:00, 30.07it/s]
+Epoch 233/1000:  69%|██████▉   | 25/36 [00:01<00:00, 34.21it/s]
+Epoch 233/1000:  83%|████████▎ | 30/36 [00:01<00:00, 37.41it/s]
+Epoch 233/1000:  97%|█████████▋| 35/36 [00:01<00:00, 39.59it/s]
+Epoch 233/1000: 100%|██████████| 36/36 [00:01<00:00, 25.28it/s]
+epoch: 232, beta = 0.004900, Train MSE: 0.000702, Train CE:0.000075, Train KL:1.304826, Val MSE:0.000669, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 234/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 234/1000:   3%|▎         | 1/36 [00:00<00:15,  2.24it/s]
+Epoch 234/1000:  11%|█         | 4/36 [00:00<00:03,  8.92it/s]
+Epoch 234/1000:  22%|██▏       | 8/36 [00:00<00:01, 16.25it/s]
+Epoch 234/1000:  36%|███▌      | 13/36 [00:00<00:00, 24.08it/s]
+Epoch 234/1000:  47%|████▋     | 17/36 [00:00<00:00, 26.35it/s]
+Epoch 234/1000:  58%|█████▊    | 21/36 [00:01<00:00, 28.81it/s]
+Epoch 234/1000:  69%|██████▉   | 25/36 [00:01<00:00, 31.34it/s]
+Epoch 234/1000:  83%|████████▎ | 30/36 [00:01<00:00, 34.71it/s]
+Epoch 234/1000:  94%|█████████▍| 34/36 [00:01<00:00, 35.89it/s]
+Epoch 234/1000: 100%|██████████| 36/36 [00:01<00:00, 24.69it/s]
+epoch: 233, beta = 0.004900, Train MSE: 0.000690, Train CE:0.000001, Train KL:1.285252, Val MSE:0.000792, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 235/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 235/1000:   3%|▎         | 1/36 [00:00<00:14,  2.47it/s]
+Epoch 235/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.97it/s]
+Epoch 235/1000:  28%|██▊       | 10/36 [00:00<00:01, 20.95it/s]
+Epoch 235/1000:  42%|████▏     | 15/36 [00:00<00:00, 26.65it/s]
+Epoch 235/1000:  53%|█████▎    | 19/36 [00:00<00:00, 28.47it/s]
+Epoch 235/1000:  67%|██████▋   | 24/36 [00:00<00:00, 33.10it/s]
+Epoch 235/1000:  81%|████████  | 29/36 [00:01<00:00, 35.38it/s]
+Epoch 235/1000:  92%|█████████▏| 33/36 [00:01<00:00, 35.77it/s]
+Epoch 235/1000: 100%|██████████| 36/36 [00:01<00:00, 26.25it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 236/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 234, beta = 0.004900, Train MSE: 0.000745, Train CE:0.000102, Train KL:1.255416, Val MSE:0.000838, Val CE:0.000008, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 236/1000:   3%|▎         | 1/36 [00:00<00:13,  2.52it/s]
+Epoch 236/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.13it/s]
+Epoch 236/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.54it/s]
+Epoch 236/1000:  39%|███▉      | 14/36 [00:00<00:00, 23.72it/s]
+Epoch 236/1000:  50%|█████     | 18/36 [00:00<00:00, 26.92it/s]
+Epoch 236/1000:  64%|██████▍   | 23/36 [00:00<00:00, 32.10it/s]
+Epoch 236/1000:  78%|███████▊  | 28/36 [00:01<00:00, 35.38it/s]
+Epoch 236/1000:  94%|█████████▍| 34/36 [00:01<00:00, 39.43it/s]
+Epoch 236/1000: 100%|██████████| 36/36 [00:01<00:00, 26.82it/s]
+epoch: 235, beta = 0.004900, Train MSE: 0.000711, Train CE:0.000002, Train KL:1.267147, Val MSE:0.000689, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 237/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 237/1000:   3%|▎         | 1/36 [00:00<00:12,  2.80it/s]
+Epoch 237/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.24it/s]
+Epoch 237/1000:  28%|██▊       | 10/36 [00:00<00:01, 23.04it/s]
+Epoch 237/1000:  39%|███▉      | 14/36 [00:00<00:00, 27.37it/s]
+Epoch 237/1000:  50%|█████     | 18/36 [00:00<00:00, 28.54it/s]
+Epoch 237/1000:  61%|██████    | 22/36 [00:00<00:00, 30.84it/s]
+Epoch 237/1000:  75%|███████▌  | 27/36 [00:01<00:00, 34.75it/s]
+Epoch 237/1000:  89%|████████▉ | 32/36 [00:01<00:00, 38.71it/s]
+Epoch 237/1000: 100%|██████████| 36/36 [00:01<00:00, 28.19it/s]
+epoch: 236, beta = 0.004900, Train MSE: 0.000698, Train CE:0.000003, Train KL:1.244292, Val MSE:0.000858, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 238/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 238/1000:   3%|▎         | 1/36 [00:00<00:14,  2.35it/s]
+Epoch 238/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.63it/s]
+Epoch 238/1000:  28%|██▊       | 10/36 [00:00<00:01, 19.48it/s]
+Epoch 238/1000:  39%|███▉      | 14/36 [00:00<00:00, 23.41it/s]
+Epoch 238/1000:  50%|█████     | 18/36 [00:00<00:00, 27.36it/s]
+Epoch 238/1000:  61%|██████    | 22/36 [00:01<00:00, 29.71it/s]
+Epoch 238/1000:  75%|███████▌  | 27/36 [00:01<00:00, 33.75it/s]
+Epoch 238/1000:  89%|████████▉ | 32/36 [00:01<00:00, 36.83it/s]
+Epoch 238/1000: 100%|██████████| 36/36 [00:01<00:00, 25.06it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 239/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 237, beta = 0.004900, Train MSE: 0.000774, Train CE:0.000001, Train KL:1.216833, Val MSE:0.000828, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 239/1000:   3%|▎         | 1/36 [00:00<00:14,  2.40it/s]
+Epoch 239/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.53it/s]
+Epoch 239/1000:  25%|██▌       | 9/36 [00:00<00:01, 18.01it/s]
+Epoch 239/1000:  36%|███▌      | 13/36 [00:00<00:01, 22.60it/s]
+Epoch 239/1000:  50%|█████     | 18/36 [00:00<00:00, 27.91it/s]
+Epoch 239/1000:  64%|██████▍   | 23/36 [00:01<00:00, 32.42it/s]
+Epoch 239/1000:  78%|███████▊  | 28/36 [00:01<00:00, 34.65it/s]
+Epoch 239/1000:  92%|█████████▏| 33/36 [00:01<00:00, 38.56it/s]
+Epoch 239/1000: 100%|██████████| 36/36 [00:01<00:00, 25.36it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]epoch: 238, beta = 0.004900, Train MSE: 0.000753, Train CE:0.000001, Train KL:1.208474, Val MSE:0.000776, Val CE:0.000006, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 240/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 240/1000:   3%|▎         | 1/36 [00:00<00:14,  2.47it/s]
+Epoch 240/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.95it/s]
+Epoch 240/1000:  25%|██▌       | 9/36 [00:00<00:01, 18.78it/s]
+Epoch 240/1000:  36%|███▌      | 13/36 [00:00<00:00, 23.12it/s]
+Epoch 240/1000:  50%|█████     | 18/36 [00:00<00:00, 28.67it/s]
+Epoch 240/1000:  64%|██████▍   | 23/36 [00:00<00:00, 32.96it/s]
+Epoch 240/1000:  81%|████████  | 29/36 [00:01<00:00, 38.63it/s]
+Epoch 240/1000:  94%|█████████▍| 34/36 [00:01<00:00, 41.06it/s]
+Epoch 240/1000: 100%|██████████| 36/36 [00:01<00:00, 27.08it/s]
+epoch: 239, beta = 0.004900, Train MSE: 0.000718, Train CE:0.000006, Train KL:1.197323, Val MSE:0.000808, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 241/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 241/1000:   3%|▎         | 1/36 [00:00<00:15,  2.19it/s]
+Epoch 241/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.09it/s]
+Epoch 241/1000:  25%|██▌       | 9/36 [00:00<00:01, 16.86it/s]
+Epoch 241/1000:  33%|███▎      | 12/36 [00:00<00:01, 19.34it/s]
+Epoch 241/1000:  47%|████▋     | 17/36 [00:00<00:00, 24.73it/s]
+Epoch 241/1000:  64%|██████▍   | 23/36 [00:01<00:00, 32.27it/s]
+Epoch 241/1000:  78%|███████▊  | 28/36 [00:01<00:00, 36.34it/s]
+Epoch 241/1000:  94%|█████████▍| 34/36 [00:01<00:00, 39.88it/s]
+Epoch 241/1000: 100%|██████████| 36/36 [00:01<00:00, 25.15it/s]
+epoch: 240, beta = 0.004900, Train MSE: 0.000772, Train CE:0.000240, Train KL:1.192172, Val MSE:0.000732, Val CE:0.000041, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 242/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 242/1000:   3%|▎         | 1/36 [00:00<00:13,  2.61it/s]
+Epoch 242/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.22it/s]
+Epoch 242/1000:  22%|██▏       | 8/36 [00:00<00:01, 16.40it/s]
+Epoch 242/1000:  31%|███       | 11/36 [00:00<00:01, 19.74it/s]
+Epoch 242/1000:  44%|████▍     | 16/36 [00:00<00:00, 27.71it/s]
+Epoch 242/1000:  61%|██████    | 22/36 [00:00<00:00, 35.25it/s]
+Epoch 242/1000:  75%|███████▌  | 27/36 [00:01<00:00, 37.52it/s]
+Epoch 242/1000:  89%|████████▉ | 32/36 [00:01<00:00, 36.93it/s]
+Epoch 242/1000: 100%|██████████| 36/36 [00:01<00:00, 26.82it/s]
+epoch: 241, beta = 0.004900, Train MSE: 0.000719, Train CE:0.000004, Train KL:1.222628, Val MSE:0.000746, Val CE:0.000006, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 243/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 243/1000:   3%|▎         | 1/36 [00:00<00:13,  2.53it/s]
+Epoch 243/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.84it/s]
+Epoch 243/1000:  31%|███       | 11/36 [00:00<00:01, 23.31it/s]
+Epoch 243/1000:  44%|████▍     | 16/36 [00:00<00:00, 29.42it/s]
+Epoch 243/1000:  61%|██████    | 22/36 [00:00<00:00, 37.24it/s]
+Epoch 243/1000:  78%|███████▊  | 28/36 [00:00<00:00, 43.17it/s]
+Epoch 243/1000:  94%|█████████▍| 34/36 [00:01<00:00, 47.80it/s]
+Epoch 243/1000: 100%|██████████| 36/36 [00:01<00:00, 30.67it/s]
+Learning rate updated: 0.0003405616262881147
+epoch: 242, beta = 0.004900, Train MSE: 0.000730, Train CE:0.000097, Train KL:1.214503, Val MSE:0.000735, Val CE:0.000012, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 244/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 244/1000:   3%|▎         | 1/36 [00:00<00:14,  2.41it/s]
+Epoch 244/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.48it/s]
+Epoch 244/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.34it/s]
+Epoch 244/1000:  47%|████▋     | 17/36 [00:00<00:00, 30.15it/s]
+Epoch 244/1000:  64%|██████▍   | 23/36 [00:00<00:00, 36.73it/s]
+Epoch 244/1000:  78%|███████▊  | 28/36 [00:01<00:00, 36.30it/s]
+Epoch 244/1000:  92%|█████████▏| 33/36 [00:01<00:00, 37.52it/s]
+Epoch 244/1000: 100%|██████████| 36/36 [00:01<00:00, 28.26it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 245/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 243, beta = 0.004900, Train MSE: 0.000712, Train CE:0.000004, Train KL:1.202631, Val MSE:0.000716, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 245/1000:   3%|▎         | 1/36 [00:00<00:15,  2.24it/s]
+Epoch 245/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.24it/s]
+Epoch 245/1000:  33%|███▎      | 12/36 [00:00<00:01, 23.41it/s]
+Epoch 245/1000:  47%|████▋     | 17/36 [00:00<00:00, 29.53it/s]
+Epoch 245/1000:  64%|██████▍   | 23/36 [00:00<00:00, 36.92it/s]
+Epoch 245/1000:  81%|████████  | 29/36 [00:01<00:00, 41.60it/s]
+Epoch 245/1000:  97%|█████████▋| 35/36 [00:01<00:00, 44.55it/s]
+Epoch 245/1000: 100%|██████████| 36/36 [00:01<00:00, 30.09it/s]
+epoch: 244, beta = 0.004900, Train MSE: 0.000714, Train CE:0.000001, Train KL:1.187523, Val MSE:0.000802, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 246/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 246/1000:   3%|▎         | 1/36 [00:00<00:13,  2.59it/s]
+Epoch 246/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.51it/s]
+Epoch 246/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.73it/s]
+Epoch 246/1000:  42%|████▏     | 15/36 [00:00<00:00, 29.34it/s]
+Epoch 246/1000:  56%|█████▌    | 20/36 [00:00<00:00, 32.41it/s]
+Epoch 246/1000:  67%|██████▋   | 24/36 [00:00<00:00, 34.09it/s]
+Epoch 246/1000:  81%|████████  | 29/36 [00:01<00:00, 37.35it/s]
+Epoch 246/1000:  97%|█████████▋| 35/36 [00:01<00:00, 42.13it/s]
+Epoch 246/1000: 100%|██████████| 36/36 [00:01<00:00, 28.52it/s]
+epoch: 245, beta = 0.004900, Train MSE: 0.000795, Train CE:0.000003, Train KL:1.173952, Val MSE:0.000751, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 247/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 247/1000:   3%|▎         | 1/36 [00:00<00:14,  2.40it/s]
+Epoch 247/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.79it/s]
+Epoch 247/1000:  28%|██▊       | 10/36 [00:00<00:01, 20.92it/s]
+Epoch 247/1000:  42%|████▏     | 15/36 [00:00<00:00, 28.04it/s]
+Epoch 247/1000:  56%|█████▌    | 20/36 [00:00<00:00, 33.06it/s]
+Epoch 247/1000:  69%|██████▉   | 25/36 [00:00<00:00, 33.98it/s]
+Epoch 247/1000:  81%|████████  | 29/36 [00:01<00:00, 35.43it/s]
+Epoch 247/1000:  94%|█████████▍| 34/36 [00:01<00:00, 37.47it/s]
+Epoch 247/1000: 100%|██████████| 36/36 [00:01<00:00, 26.38it/s]
+epoch: 246, beta = 0.004900, Train MSE: 0.000814, Train CE:0.000072, Train KL:1.175367, Val MSE:0.000847, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 248/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 248/1000:   3%|▎         | 1/36 [00:00<00:16,  2.15it/s]
+Epoch 248/1000:  14%|█▍        | 5/36 [00:00<00:02, 10.59it/s]
+Epoch 248/1000:  28%|██▊       | 10/36 [00:00<00:01, 19.17it/s]
+Epoch 248/1000:  42%|████▏     | 15/36 [00:00<00:00, 25.89it/s]
+Epoch 248/1000:  53%|█████▎    | 19/36 [00:00<00:00, 29.02it/s]
+Epoch 248/1000:  67%|██████▋   | 24/36 [00:01<00:00, 34.40it/s]
+Epoch 248/1000:  83%|████████▎ | 30/36 [00:01<00:00, 38.88it/s]
+Epoch 248/1000:  97%|█████████▋| 35/36 [00:01<00:00, 41.35it/s]
+Epoch 248/1000: 100%|██████████| 36/36 [00:01<00:00, 26.11it/s]
+epoch: 247, beta = 0.004900, Train MSE: 0.000817, Train CE:0.000001, Train KL:1.167236, Val MSE:0.000745, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 249/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 249/1000:   3%|▎         | 1/36 [00:00<00:13,  2.51it/s]
+Epoch 249/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.34it/s]
+Epoch 249/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.74it/s]
+Epoch 249/1000:  47%|████▋     | 17/36 [00:00<00:00, 30.69it/s]
+Epoch 249/1000:  61%|██████    | 22/36 [00:00<00:00, 35.19it/s]
+Epoch 249/1000:  75%|███████▌  | 27/36 [00:00<00:00, 38.94it/s]
+Epoch 249/1000:  92%|█████████▏| 33/36 [00:01<00:00, 44.24it/s]
+Epoch 249/1000: 100%|██████████| 36/36 [00:01<00:00, 30.17it/s]
+epoch: 248, beta = 0.004900, Train MSE: 0.000730, Train CE:0.000104, Train KL:1.188283, Val MSE:0.000804, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 250/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 250/1000:   3%|▎         | 1/36 [00:00<00:13,  2.69it/s]
+Epoch 250/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.61it/s]
+Epoch 250/1000:  31%|███       | 11/36 [00:00<00:01, 24.67it/s]
+Epoch 250/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.04it/s]
+Epoch 250/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.47it/s]
+Epoch 250/1000:  78%|███████▊  | 28/36 [00:00<00:00, 40.83it/s]
+Epoch 250/1000:  94%|█████████▍| 34/36 [00:01<00:00, 45.24it/s]
+Epoch 250/1000: 100%|██████████| 36/36 [00:01<00:00, 31.76it/s]
+epoch: 249, beta = 0.004900, Train MSE: 0.000808, Train CE:0.000001, Train KL:1.174489, Val MSE:0.000757, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 251/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+
+Epoch 251/1000:   3%|▎         | 1/36 [00:00<00:14,  2.50it/s]
+Epoch 251/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.68it/s]
+Epoch 251/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.98it/s]
+Epoch 251/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.53it/s]
+Epoch 251/1000:  64%|██████▍   | 23/36 [00:00<00:00, 38.16it/s]
+Epoch 251/1000:  81%|████████  | 29/36 [00:00<00:00, 43.07it/s]
+Epoch 251/1000: 100%|██████████| 36/36 [00:01<00:00, 48.52it/s]
+Epoch 251/1000: 100%|██████████| 36/36 [00:01<00:00, 29.42it/s]
+epoch: 250, beta = 0.004900, Train MSE: 0.000825, Train CE:0.000001, Train KL:1.174587, Val MSE:0.000837, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 252/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 252/1000:   3%|▎         | 1/36 [00:00<00:10,  3.30it/s]
+Epoch 252/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.20it/s]
+Epoch 252/1000:  33%|███▎      | 12/36 [00:00<00:00, 29.09it/s]
+Epoch 252/1000:  50%|█████     | 18/36 [00:00<00:00, 36.39it/s]
+Epoch 252/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.39it/s]
+Epoch 252/1000:  81%|████████  | 29/36 [00:00<00:00, 44.28it/s]
+Epoch 252/1000:  97%|█████████▋| 35/36 [00:00<00:00, 48.06it/s]
+Epoch 252/1000: 100%|██████████| 36/36 [00:01<00:00, 32.70it/s]
+epoch: 251, beta = 0.004900, Train MSE: 0.000988, Train CE:0.000001, Train KL:1.207683, Val MSE:0.000766, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 253/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+
+Epoch 253/1000:   3%|▎         | 1/36 [00:00<00:14,  2.39it/s]
+Epoch 253/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.24it/s]
+Epoch 253/1000:  31%|███       | 11/36 [00:00<00:01, 22.54it/s]
+Epoch 253/1000:  44%|████▍     | 16/36 [00:00<00:00, 28.60it/s]
+Epoch 253/1000:  58%|█████▊    | 21/36 [00:00<00:00, 34.25it/s]
+Epoch 253/1000:  72%|███████▏  | 26/36 [00:00<00:00, 37.93it/s]
+Epoch 253/1000:  92%|█████████▏| 33/36 [00:01<00:00, 45.37it/s]
+Epoch 253/1000: 100%|██████████| 36/36 [00:01<00:00, 30.23it/s]
+epoch: 252, beta = 0.004900, Train MSE: 0.000721, Train CE:0.000001, Train KL:1.205662, Val MSE:0.000944, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 254/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 254/1000:   3%|▎         | 1/36 [00:00<00:13,  2.68it/s]
+Epoch 254/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.86it/s]
+Epoch 254/1000:  25%|██▌       | 9/36 [00:00<00:01, 19.55it/s]
+Epoch 254/1000:  44%|████▍     | 16/36 [00:00<00:00, 31.91it/s]
+Epoch 254/1000:  64%|██████▍   | 23/36 [00:00<00:00, 40.45it/s]
+Epoch 254/1000:  81%|████████  | 29/36 [00:00<00:00, 45.50it/s]
+Epoch 254/1000: 100%|██████████| 36/36 [00:01<00:00, 52.23it/s]
+Epoch 254/1000: 100%|██████████| 36/36 [00:01<00:00, 32.13it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 255/1000:   0%|          | 0/36 [00:00<?, ?it/s]Learning rate updated: 0.00032353354497370894
+epoch: 253, beta = 0.004900, Train MSE: 0.000794, Train CE:0.000005, Train KL:1.173352, Val MSE:0.000758, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 255/1000:   3%|▎         | 1/36 [00:00<00:12,  2.87it/s]
+Epoch 255/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.55it/s]
+Epoch 255/1000:  31%|███       | 11/36 [00:00<00:00, 25.66it/s]
+Epoch 255/1000:  47%|████▋     | 17/36 [00:00<00:00, 34.18it/s]
+Epoch 255/1000:  67%|██████▋   | 24/36 [00:00<00:00, 41.81it/s]
+Epoch 255/1000:  83%|████████▎ | 30/36 [00:00<00:00, 45.45it/s]
+Epoch 255/1000: 100%|██████████| 36/36 [00:01<00:00, 47.30it/s]
+Epoch 255/1000: 100%|██████████| 36/36 [00:01<00:00, 32.87it/s]
+epoch: 254, beta = 0.004900, Train MSE: 0.000821, Train CE:0.000004, Train KL:1.160534, Val MSE:0.000883, Val CE:0.000024, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 256/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 256/1000:   3%|▎         | 1/36 [00:00<00:13,  2.60it/s]
+Epoch 256/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.11it/s]
+Epoch 256/1000:  22%|██▏       | 8/36 [00:00<00:01, 16.91it/s]
+Epoch 256/1000:  39%|███▉      | 14/36 [00:00<00:00, 27.90it/s]
+Epoch 256/1000:  58%|█████▊    | 21/36 [00:00<00:00, 38.14it/s]
+Epoch 256/1000:  78%|███████▊  | 28/36 [00:00<00:00, 46.74it/s]
+Epoch 256/1000: 100%|██████████| 36/36 [00:01<00:00, 52.85it/s]
+Epoch 256/1000: 100%|██████████| 36/36 [00:01<00:00, 32.01it/s]
+epoch: 255, beta = 0.004900, Train MSE: 0.000805, Train CE:0.000178, Train KL:1.157194, Val MSE:0.000879, Val CE:0.000080, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 257/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 257/1000:   3%|▎         | 1/36 [00:00<00:16,  2.07it/s]
+Epoch 257/1000:  17%|█▋        | 6/36 [00:00<00:02, 12.46it/s]
+Epoch 257/1000:  31%|███       | 11/36 [00:00<00:01, 20.27it/s]
+Epoch 257/1000:  47%|████▋     | 17/36 [00:00<00:00, 29.80it/s]
+Epoch 257/1000:  67%|██████▋   | 24/36 [00:00<00:00, 38.79it/s]
+Epoch 257/1000:  86%|████████▌ | 31/36 [00:01<00:00, 45.23it/s]
+Epoch 257/1000: 100%|██████████| 36/36 [00:01<00:00, 29.80it/s]
+epoch: 256, beta = 0.004900, Train MSE: 0.000726, Train CE:0.000010, Train KL:1.177462, Val MSE:0.000790, Val CE:0.000022, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 258/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 258/1000:   3%|▎         | 1/36 [00:00<00:12,  2.79it/s]
+Epoch 258/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.91it/s]
+Epoch 258/1000:  31%|███       | 11/36 [00:00<00:01, 23.05it/s]
+Epoch 258/1000:  44%|████▍     | 16/36 [00:00<00:00, 29.87it/s]
+Epoch 258/1000:  64%|██████▍   | 23/36 [00:00<00:00, 40.17it/s]
+Epoch 258/1000:  83%|████████▎ | 30/36 [00:00<00:00, 47.43it/s]
+Epoch 258/1000: 100%|██████████| 36/36 [00:01<00:00, 46.82it/s]
+Epoch 258/1000: 100%|██████████| 36/36 [00:01<00:00, 31.30it/s]
+epoch: 257, beta = 0.004900, Train MSE: 0.000686, Train CE:0.000017, Train KL:1.177976, Val MSE:0.000690, Val CE:0.000010, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 259/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 259/1000:   3%|▎         | 1/36 [00:00<00:11,  3.02it/s]
+Epoch 259/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.15it/s]
+Epoch 259/1000:  31%|███       | 11/36 [00:00<00:01, 24.43it/s]
+Epoch 259/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.99it/s]
+Epoch 259/1000:  64%|██████▍   | 23/36 [00:00<00:00, 41.17it/s]
+Epoch 259/1000:  83%|████████▎ | 30/36 [00:00<00:00, 48.82it/s]
+Epoch 259/1000: 100%|██████████| 36/36 [00:01<00:00, 50.57it/s]
+Epoch 259/1000: 100%|██████████| 36/36 [00:01<00:00, 33.01it/s]
+epoch: 258, beta = 0.004900, Train MSE: 0.000771, Train CE:0.000001, Train KL:1.172943, Val MSE:0.000699, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 260/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 260/1000:   3%|▎         | 1/36 [00:00<00:15,  2.33it/s]
+Epoch 260/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.97it/s]
+Epoch 260/1000:  31%|███       | 11/36 [00:00<00:01, 22.45it/s]
+Epoch 260/1000:  47%|████▋     | 17/36 [00:00<00:00, 30.91it/s]
+Epoch 260/1000:  64%|██████▍   | 23/36 [00:00<00:00, 38.28it/s]
+Epoch 260/1000:  81%|████████  | 29/36 [00:00<00:00, 42.39it/s]
+Epoch 260/1000:  94%|█████████▍| 34/36 [00:01<00:00, 44.13it/s]
+Epoch 260/1000: 100%|██████████| 36/36 [00:01<00:00, 30.17it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 261/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 259, beta = 0.004900, Train MSE: 0.000747, Train CE:0.000031, Train KL:1.164310, Val MSE:0.000935, Val CE:0.000009, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 261/1000:   3%|▎         | 1/36 [00:00<00:13,  2.59it/s]
+Epoch 261/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.73it/s]
+Epoch 261/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.96it/s]
+Epoch 261/1000:  53%|█████▎    | 19/36 [00:00<00:00, 37.26it/s]
+Epoch 261/1000:  69%|██████▉   | 25/36 [00:00<00:00, 42.45it/s]
+Epoch 261/1000:  86%|████████▌ | 31/36 [00:00<00:00, 44.66it/s]
+Epoch 261/1000: 100%|██████████| 36/36 [00:01<00:00, 32.51it/s]
+epoch: 260, beta = 0.004900, Train MSE: 0.000732, Train CE:0.000000, Train KL:1.187603, Val MSE:0.000698, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 262/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 262/1000:   3%|▎         | 1/36 [00:00<00:14,  2.48it/s]
+Epoch 262/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.10it/s]
+Epoch 262/1000:  39%|███▉      | 14/36 [00:00<00:00, 30.36it/s]
+Epoch 262/1000:  56%|█████▌    | 20/36 [00:00<00:00, 37.22it/s]
+Epoch 262/1000:  69%|██████▉   | 25/36 [00:00<00:00, 38.76it/s]
+Epoch 262/1000:  83%|████████▎ | 30/36 [00:00<00:00, 38.87it/s]
+Epoch 262/1000:  97%|█████████▋| 35/36 [00:01<00:00, 40.58it/s]
+Epoch 262/1000: 100%|██████████| 36/36 [00:01<00:00, 29.76it/s]
+epoch: 261, beta = 0.004900, Train MSE: 0.000687, Train CE:0.000000, Train KL:1.172126, Val MSE:0.000713, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 263/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 263/1000:   3%|▎         | 1/36 [00:00<00:14,  2.49it/s]
+Epoch 263/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.30it/s]
+Epoch 263/1000:  31%|███       | 11/36 [00:00<00:01, 23.27it/s]
+Epoch 263/1000:  50%|█████     | 18/36 [00:00<00:00, 34.21it/s]
+Epoch 263/1000:  67%|██████▋   | 24/36 [00:00<00:00, 39.24it/s]
+Epoch 263/1000:  81%|████████  | 29/36 [00:00<00:00, 39.05it/s]
+Epoch 263/1000:  94%|█████████▍| 34/36 [00:01<00:00, 40.90it/s]
+Epoch 263/1000: 100%|██████████| 36/36 [00:01<00:00, 29.17it/s]
+epoch: 262, beta = 0.004900, Train MSE: 0.000736, Train CE:0.000001, Train KL:1.149709, Val MSE:0.000812, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 264/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 264/1000:   3%|▎         | 1/36 [00:00<00:13,  2.58it/s]
+Epoch 264/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.26it/s]
+Epoch 264/1000:  36%|███▌      | 13/36 [00:00<00:00, 27.45it/s]
+Epoch 264/1000:  50%|█████     | 18/36 [00:00<00:00, 33.18it/s]
+Epoch 264/1000:  67%|██████▋   | 24/36 [00:00<00:00, 38.38it/s]
+Epoch 264/1000:  81%|████████  | 29/36 [00:00<00:00, 37.98it/s]
+Epoch 264/1000:  94%|█████████▍| 34/36 [00:01<00:00, 37.50it/s]
+Epoch 264/1000: 100%|██████████| 36/36 [00:01<00:00, 28.54it/s]
+epoch: 263, beta = 0.004900, Train MSE: 0.000748, Train CE:0.000007, Train KL:1.154460, Val MSE:0.000690, Val CE:0.000059, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 265/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 265/1000:   3%|▎         | 1/36 [00:00<00:13,  2.65it/s]
+Epoch 265/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.64it/s]
+Epoch 265/1000:  25%|██▌       | 9/36 [00:00<00:01, 20.19it/s]
+Epoch 265/1000:  42%|████▏     | 15/36 [00:00<00:00, 29.99it/s]
+Epoch 265/1000:  58%|█████▊    | 21/36 [00:00<00:00, 36.65it/s]
+Epoch 265/1000:  75%|███████▌  | 27/36 [00:00<00:00, 42.28it/s]
+Epoch 265/1000:  89%|████████▉ | 32/36 [00:01<00:00, 40.30it/s]
+Epoch 265/1000: 100%|██████████| 36/36 [00:01<00:00, 28.58it/s]
+Learning rate updated: 0.00030735686772502346
+epoch: 264, beta = 0.004900, Train MSE: 0.000703, Train CE:0.000016, Train KL:1.153930, Val MSE:0.000814, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 266/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 266/1000:   3%|▎         | 1/36 [00:00<00:13,  2.69it/s]
+Epoch 266/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.65it/s]
+Epoch 266/1000:  31%|███       | 11/36 [00:00<00:01, 22.93it/s]
+Epoch 266/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.11it/s]
+Epoch 266/1000:  61%|██████    | 22/36 [00:00<00:00, 36.56it/s]
+Epoch 266/1000:  78%|███████▊  | 28/36 [00:00<00:00, 41.76it/s]
+Epoch 266/1000:  92%|█████████▏| 33/36 [00:01<00:00, 43.22it/s]
+Epoch 266/1000: 100%|██████████| 36/36 [00:01<00:00, 30.17it/s]
+epoch: 265, beta = 0.004900, Train MSE: 0.000791, Train CE:0.000001, Train KL:1.145922, Val MSE:0.000765, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 267/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 267/1000:   3%|▎         | 1/36 [00:00<00:13,  2.57it/s]
+Epoch 267/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.55it/s]
+Epoch 267/1000:  31%|███       | 11/36 [00:00<00:01, 22.49it/s]
+Epoch 267/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.51it/s]
+Epoch 267/1000:  67%|██████▋   | 24/36 [00:00<00:00, 41.54it/s]
+Epoch 267/1000:  86%|████████▌ | 31/36 [00:00<00:00, 49.30it/s]
+Epoch 267/1000: 100%|██████████| 36/36 [00:01<00:00, 33.16it/s]
+epoch: 266, beta = 0.004900, Train MSE: 0.000778, Train CE:0.000076, Train KL:1.139990, Val MSE:0.000834, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 268/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 268/1000:   3%|▎         | 1/36 [00:00<00:09,  3.60it/s]
+Epoch 268/1000:  19%|█▉        | 7/36 [00:00<00:01, 21.50it/s]
+Epoch 268/1000:  36%|███▌      | 13/36 [00:00<00:00, 31.15it/s]
+Epoch 268/1000:  53%|█████▎    | 19/36 [00:00<00:00, 37.72it/s]
+Epoch 268/1000:  69%|██████▉   | 25/36 [00:00<00:00, 41.81it/s]
+Epoch 268/1000:  89%|████████▉ | 32/36 [00:00<00:00, 49.59it/s]
+Epoch 268/1000: 100%|██████████| 36/36 [00:00<00:00, 36.25it/s]
+epoch: 267, beta = 0.004900, Train MSE: 0.000708, Train CE:0.000001, Train KL:1.164858, Val MSE:0.000737, Val CE:0.000011, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 269/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 269/1000:   3%|▎         | 1/36 [00:00<00:10,  3.29it/s]
+Epoch 269/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.40it/s]
+Epoch 269/1000:  33%|███▎      | 12/36 [00:00<00:00, 29.90it/s]
+Epoch 269/1000:  47%|████▋     | 17/36 [00:00<00:00, 35.67it/s]
+Epoch 269/1000:  61%|██████    | 22/36 [00:00<00:00, 37.78it/s]
+Epoch 269/1000:  81%|████████  | 29/36 [00:00<00:00, 45.93it/s]
+Epoch 269/1000: 100%|██████████| 36/36 [00:01<00:00, 35.66it/s]
+epoch: 268, beta = 0.004900, Train MSE: 0.000684, Train CE:0.000001, Train KL:1.157908, Val MSE:0.000720, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 270/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 270/1000:   3%|▎         | 1/36 [00:00<00:13,  2.69it/s]
+Epoch 270/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.11it/s]
+Epoch 270/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.82it/s]
+Epoch 270/1000:  50%|█████     | 18/36 [00:00<00:00, 31.35it/s]
+Epoch 270/1000:  64%|██████▍   | 23/36 [00:00<00:00, 35.46it/s]
+Epoch 270/1000:  83%|████████▎ | 30/36 [00:00<00:00, 43.88it/s]
+Epoch 270/1000: 100%|██████████| 36/36 [00:01<00:00, 33.14it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 271/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 269, beta = 0.004900, Train MSE: 0.000741, Train CE:0.000004, Train KL:1.136388, Val MSE:0.000716, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 271/1000:   3%|▎         | 1/36 [00:00<00:13,  2.51it/s]
+Epoch 271/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.40it/s]
+Epoch 271/1000:  31%|███       | 11/36 [00:00<00:01, 23.98it/s]
+Epoch 271/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.76it/s]
+Epoch 271/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.00it/s]
+Epoch 271/1000:  72%|███████▏  | 26/36 [00:00<00:00, 38.53it/s]
+Epoch 271/1000:  92%|█████████▏| 33/36 [00:01<00:00, 45.92it/s]
+Epoch 271/1000: 100%|██████████| 36/36 [00:01<00:00, 30.23it/s]
+epoch: 270, beta = 0.004900, Train MSE: 0.000683, Train CE:0.000026, Train KL:1.141697, Val MSE:0.000697, Val CE:0.000013, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 272/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 272/1000:   3%|▎         | 1/36 [00:00<00:12,  2.70it/s]
+Epoch 272/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.73it/s]
+Epoch 272/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.52it/s]
+Epoch 272/1000:  50%|█████     | 18/36 [00:00<00:00, 34.39it/s]
+Epoch 272/1000:  67%|██████▋   | 24/36 [00:00<00:00, 40.10it/s]
+Epoch 272/1000:  83%|████████▎ | 30/36 [00:00<00:00, 44.32it/s]
+Epoch 272/1000: 100%|██████████| 36/36 [00:01<00:00, 47.16it/s]
+Epoch 272/1000: 100%|██████████| 36/36 [00:01<00:00, 31.76it/s]
+epoch: 271, beta = 0.004900, Train MSE: 0.000722, Train CE:0.000001, Train KL:1.137601, Val MSE:0.000742, Val CE:0.000010, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 273/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 273/1000:   3%|▎         | 1/36 [00:00<00:12,  2.84it/s]
+Epoch 273/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.25it/s]
+Epoch 273/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.41it/s]
+Epoch 273/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.73it/s]
+Epoch 273/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.72it/s]
+Epoch 273/1000:  83%|████████▎ | 30/36 [00:00<00:00, 47.13it/s]
+Epoch 273/1000: 100%|██████████| 36/36 [00:01<00:00, 33.01it/s]
+epoch: 272, beta = 0.004900, Train MSE: 0.000730, Train CE:0.000020, Train KL:1.143791, Val MSE:0.000749, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 274/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 274/1000:   3%|▎         | 1/36 [00:00<00:14,  2.35it/s]
+Epoch 274/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.95it/s]
+Epoch 274/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.62it/s]
+Epoch 274/1000:  50%|█████     | 18/36 [00:00<00:00, 32.78it/s]
+Epoch 274/1000:  69%|██████▉   | 25/36 [00:00<00:00, 41.73it/s]
+Epoch 274/1000:  89%|████████▉ | 32/36 [00:00<00:00, 49.00it/s]
+Epoch 274/1000: 100%|██████████| 36/36 [00:01<00:00, 31.73it/s]
+epoch: 273, beta = 0.004900, Train MSE: 0.000711, Train CE:0.000013, Train KL:1.153858, Val MSE:0.000690, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 275/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 275/1000:   3%|▎         | 1/36 [00:00<00:14,  2.38it/s]
+Epoch 275/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.74it/s]
+Epoch 275/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.02it/s]
+Epoch 275/1000:  42%|████▏     | 15/36 [00:00<00:00, 28.18it/s]
+Epoch 275/1000:  58%|█████▊    | 21/36 [00:00<00:00, 36.11it/s]
+Epoch 275/1000:  78%|███████▊  | 28/36 [00:00<00:00, 44.21it/s]
+Epoch 275/1000:  94%|█████████▍| 34/36 [00:01<00:00, 46.35it/s]
+Epoch 275/1000: 100%|██████████| 36/36 [00:01<00:00, 28.79it/s]
+epoch: 274, beta = 0.004900, Train MSE: 0.000709, Train CE:0.000003, Train KL:1.139684, Val MSE:0.000656, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 276/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 276/1000:   3%|▎         | 1/36 [00:00<00:12,  2.91it/s]
+Epoch 276/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.32it/s]
+Epoch 276/1000:  25%|██▌       | 9/36 [00:00<00:01, 20.66it/s]
+Epoch 276/1000:  42%|████▏     | 15/36 [00:00<00:00, 29.77it/s]
+Epoch 276/1000:  58%|█████▊    | 21/36 [00:00<00:00, 37.45it/s]
+Epoch 276/1000:  78%|███████▊  | 28/36 [00:00<00:00, 44.45it/s]
+Epoch 276/1000: 100%|██████████| 36/36 [00:01<00:00, 52.26it/s]
+Epoch 276/1000: 100%|██████████| 36/36 [00:01<00:00, 32.80it/s]
+Learning rate updated: 0.00029198902433877225
+epoch: 275, beta = 0.004900, Train MSE: 0.000750, Train CE:0.000001, Train KL:1.143151, Val MSE:0.000757, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 277/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 277/1000:   3%|▎         | 1/36 [00:00<00:13,  2.63it/s]
+Epoch 277/1000:  22%|██▏       | 8/36 [00:00<00:01, 20.72it/s]
+Epoch 277/1000:  39%|███▉      | 14/36 [00:00<00:00, 31.43it/s]
+Epoch 277/1000:  53%|█████▎    | 19/36 [00:00<00:00, 36.47it/s]
+Epoch 277/1000:  67%|██████▋   | 24/36 [00:00<00:00, 40.18it/s]
+Epoch 277/1000:  86%|████████▌ | 31/36 [00:00<00:00, 47.30it/s]
+Epoch 277/1000: 100%|██████████| 36/36 [00:01<00:00, 33.26it/s]
+epoch: 276, beta = 0.004900, Train MSE: 0.000713, Train CE:0.000011, Train KL:1.137082, Val MSE:0.000727, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 278/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 278/1000:   3%|▎         | 1/36 [00:00<00:11,  3.00it/s]
+Epoch 278/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.59it/s]
+Epoch 278/1000:  33%|███▎      | 12/36 [00:00<00:00, 28.74it/s]
+Epoch 278/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.86it/s]
+Epoch 278/1000:  61%|██████    | 22/36 [00:00<00:00, 32.83it/s]
+Epoch 278/1000:  72%|███████▏  | 26/36 [00:00<00:00, 34.20it/s]
+Epoch 278/1000:  86%|████████▌ | 31/36 [00:01<00:00, 37.54it/s]
+Epoch 278/1000: 100%|██████████| 36/36 [00:01<00:00, 29.98it/s]
+epoch: 277, beta = 0.004900, Train MSE: 0.000699, Train CE:0.000057, Train KL:1.135015, Val MSE:0.000704, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 279/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 279/1000:   3%|▎         | 1/36 [00:00<00:12,  2.78it/s]
+Epoch 279/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.45it/s]
+Epoch 279/1000:  31%|███       | 11/36 [00:00<00:01, 24.01it/s]
+Epoch 279/1000:  44%|████▍     | 16/36 [00:00<00:00, 29.49it/s]
+Epoch 279/1000:  61%|██████    | 22/36 [00:00<00:00, 35.91it/s]
+Epoch 279/1000:  75%|███████▌  | 27/36 [00:00<00:00, 38.50it/s]
+Epoch 279/1000:  92%|█████████▏| 33/36 [00:01<00:00, 43.42it/s]
+Epoch 279/1000: 100%|██████████| 36/36 [00:01<00:00, 29.25it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 280/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 278, beta = 0.004900, Train MSE: 0.000725, Train CE:0.000001, Train KL:1.151563, Val MSE:0.000778, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 280/1000:   3%|▎         | 1/36 [00:00<00:14,  2.34it/s]
+Epoch 280/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.47it/s]
+Epoch 280/1000:  25%|██▌       | 9/36 [00:00<00:01, 18.11it/s]
+Epoch 280/1000:  39%|███▉      | 14/36 [00:00<00:00, 24.51it/s]
+Epoch 280/1000:  56%|█████▌    | 20/36 [00:00<00:00, 33.20it/s]
+Epoch 280/1000:  69%|██████▉   | 25/36 [00:01<00:00, 35.24it/s]
+Epoch 280/1000:  83%|████████▎ | 30/36 [00:01<00:00, 36.99it/s]
+Epoch 280/1000:  97%|█████████▋| 35/36 [00:01<00:00, 38.56it/s]
+Epoch 280/1000: 100%|██████████| 36/36 [00:01<00:00, 26.39it/s]
+epoch: 279, beta = 0.004900, Train MSE: 0.000711, Train CE:0.000033, Train KL:1.140167, Val MSE:0.000754, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 281/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 281/1000:   3%|▎         | 1/36 [00:00<00:17,  2.04it/s]
+Epoch 281/1000:  14%|█▍        | 5/36 [00:00<00:03, 10.22it/s]
+Epoch 281/1000:  28%|██▊       | 10/36 [00:00<00:01, 18.88it/s]
+Epoch 281/1000:  42%|████▏     | 15/36 [00:00<00:00, 26.17it/s]
+Epoch 281/1000:  53%|█████▎    | 19/36 [00:00<00:00, 29.33it/s]
+Epoch 281/1000:  64%|██████▍   | 23/36 [00:01<00:00, 31.95it/s]
+Epoch 281/1000:  75%|███████▌  | 27/36 [00:01<00:00, 33.38it/s]
+Epoch 281/1000:  86%|████████▌ | 31/36 [00:01<00:00, 35.02it/s]
+Epoch 281/1000: 100%|██████████| 36/36 [00:01<00:00, 37.13it/s]
+Epoch 281/1000: 100%|██████████| 36/36 [00:01<00:00, 24.31it/s]
+epoch: 280, beta = 0.004900, Train MSE: 0.000789, Train CE:0.000026, Train KL:1.145036, Val MSE:0.000819, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 282/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 282/1000:   3%|▎         | 1/36 [00:00<00:14,  2.36it/s]
+Epoch 282/1000:  11%|█         | 4/36 [00:00<00:03,  9.18it/s]
+Epoch 282/1000:  25%|██▌       | 9/36 [00:00<00:01, 19.07it/s]
+Epoch 282/1000:  42%|████▏     | 15/36 [00:00<00:00, 29.42it/s]
+Epoch 282/1000:  58%|█████▊    | 21/36 [00:00<00:00, 36.29it/s]
+Epoch 282/1000:  75%|███████▌  | 27/36 [00:00<00:00, 41.08it/s]
+Epoch 282/1000:  89%|████████▉ | 32/36 [00:01<00:00, 42.82it/s]
+Epoch 282/1000: 100%|██████████| 36/36 [00:01<00:00, 28.16it/s]
+epoch: 281, beta = 0.004900, Train MSE: 0.000812, Train CE:0.000000, Train KL:1.141285, Val MSE:0.000911, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 283/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 283/1000:   3%|▎         | 1/36 [00:00<00:12,  2.83it/s]
+Epoch 283/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.97it/s]
+Epoch 283/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.18it/s]
+Epoch 283/1000:  50%|█████     | 18/36 [00:00<00:00, 36.53it/s]
+Epoch 283/1000:  67%|██████▋   | 24/36 [00:00<00:00, 41.12it/s]
+Epoch 283/1000:  81%|████████  | 29/36 [00:00<00:00, 41.28it/s]
+Epoch 283/1000:  94%|█████████▍| 34/36 [00:01<00:00, 43.26it/s]
+Epoch 283/1000: 100%|██████████| 36/36 [00:01<00:00, 31.91it/s]
+epoch: 282, beta = 0.004900, Train MSE: 0.000755, Train CE:0.000001, Train KL:1.142914, Val MSE:0.000740, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 284/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+
+Epoch 284/1000:   3%|▎         | 1/36 [00:00<00:13,  2.54it/s]
+Epoch 284/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.15it/s]
+Epoch 284/1000:  36%|███▌      | 13/36 [00:00<00:00, 29.05it/s]
+Epoch 284/1000:  50%|█████     | 18/36 [00:00<00:00, 34.63it/s]
+Epoch 284/1000:  64%|██████▍   | 23/36 [00:00<00:00, 38.76it/s]
+Epoch 284/1000:  78%|███████▊  | 28/36 [00:00<00:00, 41.86it/s]
+Epoch 284/1000:  94%|█████████▍| 34/36 [00:01<00:00, 44.75it/s]
+Epoch 284/1000: 100%|██████████| 36/36 [00:01<00:00, 31.52it/s]
+epoch: 283, beta = 0.004900, Train MSE: 0.001171, Train CE:0.000002, Train KL:1.186204, Val MSE:0.001617, Val CE:0.000037, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 285/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 285/1000:   3%|▎         | 1/36 [00:00<00:14,  2.33it/s]
+Epoch 285/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.33it/s]
+Epoch 285/1000:  39%|███▉      | 14/36 [00:00<00:00, 29.37it/s]
+Epoch 285/1000:  56%|█████▌    | 20/36 [00:00<00:00, 36.00it/s]
+Epoch 285/1000:  69%|██████▉   | 25/36 [00:00<00:00, 36.33it/s]
+Epoch 285/1000:  83%|████████▎ | 30/36 [00:01<00:00, 39.34it/s]
+Epoch 285/1000:  97%|█████████▋| 35/36 [00:01<00:00, 40.49it/s]
+Epoch 285/1000: 100%|██████████| 36/36 [00:01<00:00, 29.25it/s]
+epoch: 284, beta = 0.004900, Train MSE: 0.000865, Train CE:0.000012, Train KL:1.368081, Val MSE:0.000646, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 286/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+
+Epoch 286/1000:   3%|▎         | 1/36 [00:00<00:12,  2.71it/s]
+Epoch 286/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.19it/s]
+Epoch 286/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.03it/s]
+Epoch 286/1000:  50%|█████     | 18/36 [00:00<00:00, 35.41it/s]
+Epoch 286/1000:  67%|██████▋   | 24/36 [00:00<00:00, 40.61it/s]
+Epoch 286/1000:  81%|████████  | 29/36 [00:00<00:00, 38.79it/s]
+Epoch 286/1000:  94%|█████████▍| 34/36 [00:01<00:00, 40.80it/s]
+Epoch 286/1000: 100%|██████████| 36/36 [00:01<00:00, 30.65it/s]
+epoch: 285, beta = 0.004900, Train MSE: 0.000604, Train CE:0.000011, Train KL:1.325563, Val MSE:0.000590, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 287/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 287/1000:   3%|▎         | 1/36 [00:00<00:14,  2.40it/s]
+Epoch 287/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.93it/s]
+Epoch 287/1000:  31%|███       | 11/36 [00:00<00:01, 24.07it/s]
+Epoch 287/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.79it/s]
+Epoch 287/1000:  64%|██████▍   | 23/36 [00:00<00:00, 38.53it/s]
+Epoch 287/1000:  78%|███████▊  | 28/36 [00:00<00:00, 39.55it/s]
+Epoch 287/1000:  92%|█████████▏| 33/36 [00:01<00:00, 39.04it/s]
+Epoch 287/1000: 100%|██████████| 36/36 [00:01<00:00, 29.52it/s]
+Learning rate updated: 0.00027738957312183364
+epoch: 286, beta = 0.004900, Train MSE: 0.000606, Train CE:0.000001, Train KL:1.270673, Val MSE:0.000643, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 288/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 288/1000:   3%|▎         | 1/36 [00:00<00:13,  2.61it/s]
+Epoch 288/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.02it/s]
+Epoch 288/1000:  36%|███▌      | 13/36 [00:00<00:00, 29.53it/s]
+Epoch 288/1000:  56%|█████▌    | 20/36 [00:00<00:00, 39.07it/s]
+Epoch 288/1000:  72%|███████▏  | 26/36 [00:00<00:00, 43.23it/s]
+Epoch 288/1000:  89%|████████▉ | 32/36 [00:00<00:00, 43.02it/s]
+Epoch 288/1000: 100%|██████████| 36/36 [00:01<00:00, 32.56it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 289/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 287, beta = 0.004900, Train MSE: 0.000620, Train CE:0.000004, Train KL:1.245959, Val MSE:0.000653, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 289/1000:   3%|▎         | 1/36 [00:00<00:10,  3.46it/s]
+Epoch 289/1000:  17%|█▋        | 6/36 [00:00<00:01, 18.46it/s]
+Epoch 289/1000:  33%|███▎      | 12/36 [00:00<00:00, 29.70it/s]
+Epoch 289/1000:  47%|████▋     | 17/36 [00:00<00:00, 34.65it/s]
+Epoch 289/1000:  61%|██████    | 22/36 [00:00<00:00, 38.28it/s]
+Epoch 289/1000:  75%|███████▌  | 27/36 [00:00<00:00, 38.56it/s]
+Epoch 289/1000:  89%|████████▉ | 32/36 [00:00<00:00, 38.70it/s]
+Epoch 289/1000: 100%|██████████| 36/36 [00:01<00:00, 31.80it/s]
+epoch: 288, beta = 0.004900, Train MSE: 0.000659, Train CE:0.000028, Train KL:1.223149, Val MSE:0.000672, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 290/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 290/1000:   3%|▎         | 1/36 [00:00<00:13,  2.64it/s]
+Epoch 290/1000:  22%|██▏       | 8/36 [00:00<00:01, 20.68it/s]
+Epoch 290/1000:  44%|████▍     | 16/36 [00:00<00:00, 34.42it/s]
+Epoch 290/1000:  61%|██████    | 22/36 [00:00<00:00, 39.52it/s]
+Epoch 290/1000:  78%|███████▊  | 28/36 [00:00<00:00, 39.83it/s]
+Epoch 290/1000:  94%|█████████▍| 34/36 [00:00<00:00, 43.53it/s]
+Epoch 290/1000: 100%|██████████| 36/36 [00:01<00:00, 32.20it/s]
+epoch: 289, beta = 0.004900, Train MSE: 0.000660, Train CE:0.000001, Train KL:1.206836, Val MSE:0.000669, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 291/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 291/1000:   3%|▎         | 1/36 [00:00<00:12,  2.77it/s]
+Epoch 291/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.06it/s]
+Epoch 291/1000:  36%|███▌      | 13/36 [00:00<00:00, 30.38it/s]
+Epoch 291/1000:  53%|█████▎    | 19/36 [00:00<00:00, 38.73it/s]
+Epoch 291/1000:  69%|██████▉   | 25/36 [00:00<00:00, 42.41it/s]
+Epoch 291/1000:  86%|████████▌ | 31/36 [00:00<00:00, 40.10it/s]
+Epoch 291/1000: 100%|██████████| 36/36 [00:01<00:00, 32.21it/s]
+epoch: 290, beta = 0.004900, Train MSE: 0.000717, Train CE:0.000001, Train KL:1.194852, Val MSE:0.000758, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 292/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 292/1000:   3%|▎         | 1/36 [00:00<00:13,  2.67it/s]
+Epoch 292/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.13it/s]
+Epoch 292/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.26it/s]
+Epoch 292/1000:  53%|█████▎    | 19/36 [00:00<00:00, 39.13it/s]
+Epoch 292/1000:  72%|███████▏  | 26/36 [00:00<00:00, 45.15it/s]
+Epoch 292/1000:  89%|████████▉ | 32/36 [00:00<00:00, 43.52it/s]
+Epoch 292/1000: 100%|██████████| 36/36 [00:01<00:00, 31.95it/s]
+epoch: 291, beta = 0.004900, Train MSE: 0.000693, Train CE:0.000008, Train KL:1.184278, Val MSE:0.000668, Val CE:0.000071, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 293/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 293/1000:   3%|▎         | 1/36 [00:00<00:13,  2.64it/s]
+Epoch 293/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.95it/s]
+Epoch 293/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.37it/s]
+Epoch 293/1000:  53%|█████▎    | 19/36 [00:00<00:00, 36.99it/s]
+Epoch 293/1000:  69%|██████▉   | 25/36 [00:00<00:00, 42.84it/s]
+Epoch 293/1000:  86%|████████▌ | 31/36 [00:00<00:00, 43.43it/s]
+Epoch 293/1000: 100%|██████████| 36/36 [00:01<00:00, 42.78it/s]
+Epoch 293/1000: 100%|██████████| 36/36 [00:01<00:00, 31.57it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 294/1000:  22%|██▏       | 8/36 [00:00<00:01, 17.89it/s]
+Epoch 294/1000:  39%|███▉      | 14/36 [00:00<00:00, 28.10it/s]
+Epoch 294/1000:  56%|█████▌    | 20/36 [00:00<00:00, 34.55it/s]
+Epoch 294/1000:  69%|██████▉   | 25/36 [00:00<00:00, 38.45it/s]
+Epoch 294/1000:  86%|████████▌ | 31/36 [00:01<00:00, 41.80it/s]
+Epoch 294/1000: 100%|██████████| 36/36 [00:01<00:00, 30.69it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 295/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 293, beta = 0.004900, Train MSE: 0.000723, Train CE:0.000138, Train KL:1.180127, Val MSE:0.000739, Val CE:0.000012, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 295/1000:   3%|▎         | 1/36 [00:00<00:12,  2.71it/s]
+Epoch 295/1000:  22%|██▏       | 8/36 [00:00<00:01, 20.65it/s]
+Epoch 295/1000:  39%|███▉      | 14/36 [00:00<00:00, 30.69it/s]
+Epoch 295/1000:  56%|█████▌    | 20/36 [00:00<00:00, 38.21it/s]
+Epoch 295/1000:  69%|██████▉   | 25/36 [00:00<00:00, 38.23it/s]
+Epoch 295/1000:  83%|████████▎ | 30/36 [00:00<00:00, 40.50it/s]
+Epoch 295/1000:  97%|█████████▋| 35/36 [00:01<00:00, 42.77it/s]
+Epoch 295/1000: 100%|██████████| 36/36 [00:01<00:00, 31.31it/s]
+epoch: 294, beta = 0.004900, Train MSE: 0.000679, Train CE:0.000154, Train KL:1.206736, Val MSE:0.000731, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 296/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 296/1000:   3%|▎         | 1/36 [00:00<00:12,  2.69it/s]
+Epoch 296/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.84it/s]
+Epoch 296/1000:  28%|██▊       | 10/36 [00:00<00:01, 22.10it/s]
+Epoch 296/1000:  44%|████▍     | 16/36 [00:00<00:00, 31.28it/s]
+Epoch 296/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.50it/s]
+Epoch 296/1000:  72%|███████▏  | 26/36 [00:00<00:00, 33.34it/s]
+Epoch 296/1000:  83%|████████▎ | 30/36 [00:01<00:00, 34.28it/s]
+Epoch 296/1000:  97%|█████████▋| 35/36 [00:01<00:00, 36.77it/s]
+Epoch 296/1000: 100%|██████████| 36/36 [00:01<00:00, 26.83it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 297/1000:   3%|▎         | 1/36 [00:00<00:14,  2.39it/s]
+Epoch 297/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.90it/s]
+Epoch 297/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.49it/s]
+Epoch 297/1000:  47%|████▋     | 17/36 [00:00<00:00, 29.97it/s]
+Epoch 297/1000:  61%|██████    | 22/36 [00:00<00:00, 33.04it/s]
+Epoch 297/1000:  75%|███████▌  | 27/36 [00:01<00:00, 32.57it/s]
+Epoch 297/1000:  89%|████████▉ | 32/36 [00:01<00:00, 34.70it/s]
+Epoch 297/1000: 100%|██████████| 36/36 [00:01<00:00, 26.67it/s]
+epoch: 296, beta = 0.004900, Train MSE: 0.000736, Train CE:0.000003, Train KL:1.182187, Val MSE:0.000661, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 298/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 298/1000:   3%|▎         | 1/36 [00:00<00:15,  2.22it/s]
+Epoch 298/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.54it/s]
+Epoch 298/1000:  31%|███       | 11/36 [00:00<00:01, 22.74it/s]
+Epoch 298/1000:  42%|████▏     | 15/36 [00:00<00:00, 26.91it/s]
+Epoch 298/1000:  53%|█████▎    | 19/36 [00:00<00:00, 29.86it/s]
+Epoch 298/1000:  67%|██████▋   | 24/36 [00:00<00:00, 32.77it/s]
+Epoch 298/1000:  78%|███████▊  | 28/36 [00:01<00:00, 34.01it/s]
+Epoch 298/1000:  89%|████████▉ | 32/36 [00:01<00:00, 34.01it/s]
+Epoch 298/1000: 100%|██████████| 36/36 [00:01<00:00, 34.56it/s]
+Epoch 298/1000: 100%|██████████| 36/36 [00:01<00:00, 25.18it/s]
+Learning rate updated: 0.0002635200944657419
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 299/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.34it/s]
+Epoch 299/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.29it/s]
+Epoch 299/1000:  50%|█████     | 18/36 [00:00<00:00, 33.01it/s]
+Epoch 299/1000:  64%|██████▍   | 23/36 [00:00<00:00, 34.69it/s]
+Epoch 299/1000:  78%|███████▊  | 28/36 [00:00<00:00, 36.55it/s]
+Epoch 299/1000:  94%|█████████▍| 34/36 [00:01<00:00, 40.46it/s]
+Epoch 299/1000: 100%|██████████| 36/36 [00:01<00:00, 29.13it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 300/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.18it/s]
+Epoch 300/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.28it/s]
+Epoch 300/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.47it/s]
+Epoch 300/1000:  61%|██████    | 22/36 [00:00<00:00, 34.39it/s]
+Epoch 300/1000:  75%|███████▌  | 27/36 [00:00<00:00, 36.18it/s]
+Epoch 300/1000:  89%|████████▉ | 32/36 [00:01<00:00, 38.47it/s]
+Epoch 300/1000: 100%|██████████| 36/36 [00:01<00:00, 27.80it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 301/1000:  22%|██▏       | 8/36 [00:00<00:01, 21.42it/s]
+Epoch 301/1000:  44%|████▍     | 16/36 [00:00<00:00, 36.67it/s]
+Epoch 301/1000:  61%|██████    | 22/36 [00:00<00:00, 41.64it/s]
+Epoch 301/1000:  78%|███████▊  | 28/36 [00:00<00:00, 40.18it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 302/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.71it/s]
+Epoch 302/1000:  39%|███▉      | 14/36 [00:00<00:00, 30.19it/s]
+Epoch 302/1000:  53%|█████▎    | 19/36 [00:00<00:00, 35.48it/s]
+Epoch 302/1000:  67%|██████▋   | 24/36 [00:00<00:00, 37.89it/s]
+Epoch 302/1000:  81%|████████  | 29/36 [00:00<00:00, 39.27it/s]
+Epoch 302/1000:  94%|█████████▍| 34/36 [00:01<00:00, 41.06it/s]
+Epoch 302/1000: 100%|██████████| 36/36 [00:01<00:00, 30.08it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 303/1000:   3%|▎         | 1/36 [00:00<00:10,  3.44it/s]
+Epoch 303/1000:  17%|█▋        | 6/36 [00:00<00:01, 18.48it/s]
+Epoch 303/1000:  33%|███▎      | 12/36 [00:00<00:00, 31.14it/s]
+Epoch 303/1000:  50%|█████     | 18/36 [00:00<00:00, 38.14it/s]
+Epoch 303/1000:  67%|██████▋   | 24/36 [00:00<00:00, 43.74it/s]
+Epoch 303/1000:  81%|████████  | 29/36 [00:00<00:00, 42.58it/s]
+Epoch 303/1000:  94%|█████████▍| 34/36 [00:00<00:00, 41.69it/s]
+Epoch 303/1000: 100%|██████████| 36/36 [00:01<00:00, 33.01it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 304/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.26it/s]
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+Epoch 304/1000:  50%|█████     | 18/36 [00:00<00:00, 34.33it/s]
+Epoch 304/1000:  64%|██████▍   | 23/36 [00:00<00:00, 37.71it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 305/1000:  31%|███       | 11/36 [00:00<00:00, 27.29it/s]
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+Epoch 305/1000: 100%|██████████| 36/36 [00:01<00:00, 32.40it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 306/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.32it/s]
+Epoch 306/1000:  36%|███▌      | 13/36 [00:00<00:00, 27.31it/s]
+Epoch 306/1000:  53%|█████▎    | 19/36 [00:00<00:00, 34.80it/s]
+Epoch 306/1000:  72%|███████▏  | 26/36 [00:00<00:00, 42.85it/s]
+Epoch 306/1000:  89%|████████▉ | 32/36 [00:00<00:00, 44.25it/s]
+Epoch 306/1000: 100%|██████████| 36/36 [00:01<00:00, 31.54it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 308/1000:  69%|██████▉   | 25/36 [00:00<00:00, 35.35it/s]
+Epoch 308/1000:  83%|████████▎ | 30/36 [00:01<00:00, 38.69it/s]
+Epoch 308/1000: 100%|██████████| 36/36 [00:01<00:00, 43.64it/s]
+Epoch 308/1000: 100%|██████████| 36/36 [00:01<00:00, 28.45it/s]
+epoch: 307, beta = 0.004900, Train MSE: 0.001018, Train CE:0.000001, Train KL:1.150472, Val MSE:0.000720, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 309/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 309/1000:   3%|▎         | 1/36 [00:00<00:12,  2.75it/s]
+Epoch 309/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.22it/s]
+Epoch 309/1000:  28%|██▊       | 10/36 [00:00<00:01, 23.65it/s]
+Epoch 309/1000:  42%|████▏     | 15/36 [00:00<00:00, 28.67it/s]
+Epoch 309/1000:  56%|█████▌    | 20/36 [00:00<00:00, 32.97it/s]
+Epoch 309/1000:  72%|███████▏  | 26/36 [00:00<00:00, 38.96it/s]
+Epoch 309/1000:  89%|████████▉ | 32/36 [00:01<00:00, 42.43it/s]
+Epoch 309/1000: 100%|██████████| 36/36 [00:01<00:00, 30.68it/s]
+Learning rate updated: 0.0002503440897424548
+epoch: 308, beta = 0.004900, Train MSE: 0.000719, Train CE:0.000181, Train KL:1.143830, Val MSE:0.000745, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 310/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 310/1000:   3%|▎         | 1/36 [00:00<00:11,  3.12it/s]
+Epoch 310/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.28it/s]
+Epoch 310/1000:  33%|███▎      | 12/36 [00:00<00:00, 29.61it/s]
+Epoch 310/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.84it/s]
+Epoch 310/1000:  61%|██████    | 22/36 [00:00<00:00, 35.36it/s]
+Epoch 310/1000:  78%|███████▊  | 28/36 [00:00<00:00, 40.39it/s]
+Epoch 310/1000:  97%|█████████▋| 35/36 [00:01<00:00, 47.13it/s]
+Epoch 310/1000: 100%|██████████| 36/36 [00:01<00:00, 32.10it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 311/1000:   3%|▎         | 1/36 [00:00<00:14,  2.35it/s]
+Epoch 311/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.03it/s]
+Epoch 311/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.41it/s]
+Epoch 311/1000:  44%|████▍     | 16/36 [00:00<00:00, 28.04it/s]
+Epoch 311/1000:  58%|█████▊    | 21/36 [00:00<00:00, 33.69it/s]
+Epoch 311/1000:  75%|███████▌  | 27/36 [00:00<00:00, 39.70it/s]
+Epoch 311/1000:  92%|█████████▏| 33/36 [00:01<00:00, 44.76it/s]
+Epoch 311/1000: 100%|██████████| 36/36 [00:01<00:00, 30.21it/s]
+epoch: 310, beta = 0.004900, Train MSE: 0.000740, Train CE:0.000001, Train KL:1.130013, Val MSE:0.000738, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 312/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 312/1000:   3%|▎         | 1/36 [00:00<00:12,  2.69it/s]
+Epoch 312/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.80it/s]
+Epoch 312/1000:  31%|███       | 11/36 [00:00<00:01, 23.71it/s]
+Epoch 312/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.45it/s]
+Epoch 312/1000:  61%|██████    | 22/36 [00:00<00:00, 38.21it/s]
+Epoch 312/1000:  78%|███████▊  | 28/36 [00:00<00:00, 43.34it/s]
+Epoch 312/1000:  94%|█████████▍| 34/36 [00:01<00:00, 46.07it/s]
+Epoch 312/1000: 100%|██████████| 36/36 [00:01<00:00, 31.40it/s]
+epoch: 311, beta = 0.004900, Train MSE: 0.000773, Train CE:0.000098, Train KL:1.141412, Val MSE:0.000886, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 313/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 313/1000:   3%|▎         | 1/36 [00:00<00:14,  2.47it/s]
+Epoch 313/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.39it/s]
+Epoch 313/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.54it/s]
+Epoch 313/1000:  47%|████▋     | 17/36 [00:00<00:00, 29.40it/s]
+Epoch 313/1000:  58%|█████▊    | 21/36 [00:00<00:00, 31.80it/s]
+Epoch 313/1000:  75%|███████▌  | 27/36 [00:00<00:00, 39.01it/s]
+Epoch 313/1000:  89%|████████▉ | 32/36 [00:01<00:00, 42.01it/s]
+Epoch 313/1000: 100%|██████████| 36/36 [00:01<00:00, 29.34it/s]
+epoch: 312, beta = 0.004900, Train MSE: 0.000782, Train CE:0.000002, Train KL:1.165326, Val MSE:0.000697, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 314/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 314/1000:   3%|▎         | 1/36 [00:00<00:10,  3.19it/s]
+Epoch 314/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.06it/s]
+Epoch 314/1000:  31%|███       | 11/36 [00:00<00:00, 25.04it/s]
+Epoch 314/1000:  42%|████▏     | 15/36 [00:00<00:00, 28.47it/s]
+Epoch 314/1000:  53%|█████▎    | 19/36 [00:00<00:00, 30.34it/s]
+Epoch 314/1000:  67%|██████▋   | 24/36 [00:00<00:00, 33.63it/s]
+Epoch 314/1000:  78%|███████▊  | 28/36 [00:01<00:00, 34.97it/s]
+Epoch 314/1000:  92%|█████████▏| 33/36 [00:01<00:00, 36.00it/s]
+Epoch 314/1000: 100%|██████████| 36/36 [00:01<00:00, 27.21it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 315/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 313, beta = 0.004900, Train MSE: 0.000680, Train CE:0.000006, Train KL:1.141962, Val MSE:0.000723, Val CE:0.000026, Train ACC:1.000000, Val ACC:0.999972
+
+Epoch 315/1000:   3%|▎         | 1/36 [00:00<00:14,  2.37it/s]
+Epoch 315/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.85it/s]
+Epoch 315/1000:  25%|██▌       | 9/36 [00:00<00:01, 18.85it/s]
+Epoch 315/1000:  39%|███▉      | 14/36 [00:00<00:00, 26.17it/s]
+Epoch 315/1000:  53%|█████▎    | 19/36 [00:00<00:00, 31.27it/s]
+Epoch 315/1000:  64%|██████▍   | 23/36 [00:00<00:00, 32.76it/s]
+Epoch 315/1000:  75%|███████▌  | 27/36 [00:01<00:00, 34.12it/s]
+Epoch 315/1000:  86%|████████▌ | 31/36 [00:01<00:00, 35.04it/s]
+Epoch 315/1000:  97%|█████████▋| 35/36 [00:01<00:00, 35.17it/s]
+Epoch 315/1000: 100%|██████████| 36/36 [00:01<00:00, 24.67it/s]
+epoch: 314, beta = 0.004900, Train MSE: 0.000743, Train CE:0.000009, Train KL:1.122060, Val MSE:0.000756, Val CE:0.000035, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 316/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 316/1000:   3%|▎         | 1/36 [00:00<00:15,  2.23it/s]
+Epoch 316/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.35it/s]
+Epoch 316/1000:  25%|██▌       | 9/36 [00:00<00:01, 18.52it/s]
+Epoch 316/1000:  36%|███▌      | 13/36 [00:00<00:00, 23.72it/s]
+Epoch 316/1000:  50%|█████     | 18/36 [00:00<00:00, 29.19it/s]
+Epoch 316/1000:  64%|██████▍   | 23/36 [00:01<00:00, 32.96it/s]
+Epoch 316/1000:  78%|███████▊  | 28/36 [00:01<00:00, 34.62it/s]
+Epoch 316/1000:  92%|█████████▏| 33/36 [00:01<00:00, 37.91it/s]
+Epoch 316/1000: 100%|██████████| 36/36 [00:01<00:00, 25.85it/s]
+epoch: 315, beta = 0.004900, Train MSE: 0.000681, Train CE:0.000077, Train KL:1.130943, Val MSE:0.000690, Val CE:0.000038, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 317/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 317/1000:   3%|▎         | 1/36 [00:00<00:16,  2.11it/s]
+Epoch 317/1000:  19%|█▉        | 7/36 [00:00<00:01, 15.04it/s]
+Epoch 317/1000:  36%|███▌      | 13/36 [00:00<00:00, 25.40it/s]
+Epoch 317/1000:  50%|█████     | 18/36 [00:00<00:00, 29.21it/s]
+Epoch 317/1000:  64%|██████▍   | 23/36 [00:00<00:00, 31.38it/s]
+Epoch 317/1000:  81%|████████  | 29/36 [00:01<00:00, 37.43it/s]
+Epoch 317/1000: 100%|██████████| 36/36 [00:01<00:00, 28.32it/s]
+epoch: 316, beta = 0.004900, Train MSE: 0.000678, Train CE:0.000016, Train KL:1.145766, Val MSE:0.000716, Val CE:0.000005, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 318/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 318/1000:   3%|▎         | 1/36 [00:00<00:12,  2.82it/s]
+Epoch 318/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.99it/s]
+Epoch 318/1000:  33%|███▎      | 12/36 [00:00<00:00, 28.35it/s]
+Epoch 318/1000:  50%|█████     | 18/36 [00:00<00:00, 37.03it/s]
+Epoch 318/1000:  64%|██████▍   | 23/36 [00:00<00:00, 37.47it/s]
+Epoch 318/1000:  78%|███████▊  | 28/36 [00:00<00:00, 39.43it/s]
+Epoch 318/1000:  94%|█████████▍| 34/36 [00:01<00:00, 44.73it/s]
+Epoch 318/1000: 100%|██████████| 36/36 [00:01<00:00, 32.17it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 319/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 317, beta = 0.004900, Train MSE: 0.000682, Train CE:0.000081, Train KL:1.142519, Val MSE:0.000660, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 319/1000:   3%|▎         | 1/36 [00:00<00:14,  2.44it/s]
+Epoch 319/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.62it/s]
+Epoch 319/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.40it/s]
+Epoch 319/1000:  50%|█████     | 18/36 [00:00<00:00, 33.69it/s]
+Epoch 319/1000:  64%|██████▍   | 23/36 [00:00<00:00, 34.55it/s]
+Epoch 319/1000:  78%|███████▊  | 28/36 [00:00<00:00, 37.81it/s]
+Epoch 319/1000:  94%|█████████▍| 34/36 [00:01<00:00, 43.54it/s]
+Epoch 319/1000: 100%|██████████| 36/36 [00:01<00:00, 29.71it/s]
+epoch: 318, beta = 0.004900, Train MSE: 0.000677, Train CE:0.000000, Train KL:1.150931, Val MSE:0.000675, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 320/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 320/1000:   3%|▎         | 1/36 [00:00<00:12,  2.89it/s]
+Epoch 320/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.40it/s]
+Epoch 320/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.68it/s]
+Epoch 320/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.66it/s]
+Epoch 320/1000:  61%|██████    | 22/36 [00:00<00:00, 36.14it/s]
+Epoch 320/1000:  75%|███████▌  | 27/36 [00:00<00:00, 38.94it/s]
+Epoch 320/1000:  89%|████████▉ | 32/36 [00:01<00:00, 41.28it/s]
+Epoch 320/1000: 100%|██████████| 36/36 [00:01<00:00, 31.14it/s]
+Learning rate updated: 0.00023782688525533205
+epoch: 319, beta = 0.004900, Train MSE: 0.000670, Train CE:0.000001, Train KL:1.134241, Val MSE:0.000771, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 321/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 321/1000:   3%|▎         | 1/36 [00:00<00:13,  2.65it/s]
+Epoch 321/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.40it/s]
+Epoch 321/1000:  31%|███       | 11/36 [00:00<00:00, 25.00it/s]
+Epoch 321/1000:  42%|████▏     | 15/36 [00:00<00:00, 28.01it/s]
+Epoch 321/1000:  56%|█████▌    | 20/36 [00:00<00:00, 32.20it/s]
+Epoch 321/1000:  69%|██████▉   | 25/36 [00:00<00:00, 35.09it/s]
+Epoch 321/1000:  86%|████████▌ | 31/36 [00:01<00:00, 39.30it/s]
+Epoch 321/1000: 100%|██████████| 36/36 [00:01<00:00, 28.52it/s]
+epoch: 320, beta = 0.004900, Train MSE: 0.000704, Train CE:0.000001, Train KL:1.129220, Val MSE:0.000738, Val CE:0.000008, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 322/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 322/1000:   3%|▎         | 1/36 [00:00<00:11,  3.05it/s]
+Epoch 322/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.47it/s]
+Epoch 322/1000:  31%|███       | 11/36 [00:00<00:01, 24.59it/s]
+Epoch 322/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.71it/s]
+Epoch 322/1000:  61%|██████    | 22/36 [00:00<00:00, 36.90it/s]
+Epoch 322/1000:  75%|███████▌  | 27/36 [00:00<00:00, 38.40it/s]
+Epoch 322/1000:  92%|█████████▏| 33/36 [00:01<00:00, 43.77it/s]
+Epoch 322/1000: 100%|██████████| 36/36 [00:01<00:00, 31.30it/s]
+epoch: 321, beta = 0.004900, Train MSE: 0.000714, Train CE:0.000002, Train KL:1.124469, Val MSE:0.000803, Val CE:0.000008, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 323/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 323/1000:   3%|▎         | 1/36 [00:00<00:14,  2.44it/s]
+Epoch 323/1000:  11%|█         | 4/36 [00:00<00:03,  9.28it/s]
+Epoch 323/1000:  25%|██▌       | 9/36 [00:00<00:01, 19.51it/s]
+Epoch 323/1000:  44%|████▍     | 16/36 [00:00<00:00, 31.21it/s]
+Epoch 323/1000:  64%|██████▍   | 23/36 [00:00<00:00, 38.48it/s]
+Epoch 323/1000:  83%|████████▎ | 30/36 [00:00<00:00, 45.92it/s]
+Epoch 323/1000: 100%|██████████| 36/36 [00:01<00:00, 48.83it/s]
+Epoch 323/1000: 100%|██████████| 36/36 [00:01<00:00, 30.52it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 324/1000:   3%|▎         | 1/36 [00:00<00:12,  2.76it/s]
+Epoch 324/1000:  11%|█         | 4/36 [00:00<00:03, 10.30it/s]
+Epoch 324/1000:  22%|██▏       | 8/36 [00:00<00:01, 18.60it/s]
+Epoch 324/1000:  36%|███▌      | 13/36 [00:00<00:00, 27.41it/s]
+Epoch 324/1000:  53%|█████▎    | 19/36 [00:00<00:00, 36.62it/s]
+Epoch 324/1000:  69%|██████▉   | 25/36 [00:00<00:00, 42.53it/s]
+Epoch 324/1000:  92%|█████████▏| 33/36 [00:01<00:00, 49.32it/s]
+Epoch 324/1000: 100%|██████████| 36/36 [00:01<00:00, 29.73it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 325/1000:   3%|▎         | 1/36 [00:00<00:14,  2.44it/s]
+Epoch 325/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.75it/s]
+Epoch 325/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.19it/s]
+Epoch 325/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.39it/s]
+Epoch 325/1000:  61%|██████    | 22/36 [00:00<00:00, 38.26it/s]
+Epoch 325/1000:  81%|████████  | 29/36 [00:00<00:00, 46.61it/s]
+Epoch 325/1000:  97%|█████████▋| 35/36 [00:01<00:00, 46.87it/s]
+Epoch 325/1000: 100%|██████████| 36/36 [00:01<00:00, 30.29it/s]
+epoch: 324, beta = 0.004900, Train MSE: 0.000700, Train CE:0.000106, Train KL:1.125479, Val MSE:0.000709, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 326/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 326/1000:   3%|▎         | 1/36 [00:00<00:13,  2.53it/s]
+Epoch 326/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.04it/s]
+Epoch 326/1000:  31%|███       | 11/36 [00:00<00:01, 21.77it/s]
+Epoch 326/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.60it/s]
+Epoch 326/1000:  61%|██████    | 22/36 [00:00<00:00, 36.24it/s]
+Epoch 326/1000:  81%|████████  | 29/36 [00:00<00:00, 45.13it/s]
+Epoch 326/1000: 100%|██████████| 36/36 [00:01<00:00, 48.85it/s]
+Epoch 326/1000: 100%|██████████| 36/36 [00:01<00:00, 30.38it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 327/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 327/1000:   3%|▎         | 1/36 [00:00<00:12,  2.73it/s]
+Epoch 327/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.15it/s]
+Epoch 327/1000:  25%|██▌       | 9/36 [00:00<00:01, 19.57it/s]
+Epoch 327/1000:  39%|███▉      | 14/36 [00:00<00:00, 27.16it/s]
+Epoch 327/1000:  56%|█████▌    | 20/36 [00:00<00:00, 34.47it/s]
+Epoch 327/1000:  75%|███████▌  | 27/36 [00:00<00:00, 42.40it/s]
+Epoch 327/1000:  92%|█████████▏| 33/36 [00:01<00:00, 46.84it/s]
+Epoch 327/1000: 100%|██████████| 36/36 [00:01<00:00, 31.77it/s]
+epoch: 326, beta = 0.004900, Train MSE: 0.000704, Train CE:0.000001, Train KL:1.124516, Val MSE:0.000733, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 328/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 328/1000:   3%|▎         | 1/36 [00:00<00:11,  3.03it/s]
+Epoch 328/1000:  14%|█▍        | 5/36 [00:00<00:02, 14.17it/s]
+Epoch 328/1000:  28%|██▊       | 10/36 [00:00<00:01, 23.36it/s]
+Epoch 328/1000:  42%|████▏     | 15/36 [00:00<00:00, 29.76it/s]
+Epoch 328/1000:  58%|█████▊    | 21/36 [00:00<00:00, 36.96it/s]
+Epoch 328/1000:  72%|███████▏  | 26/36 [00:00<00:00, 37.88it/s]
+Epoch 328/1000:  89%|████████▉ | 32/36 [00:01<00:00, 42.28it/s]
+Epoch 328/1000: 100%|██████████| 36/36 [00:01<00:00, 31.07it/s]
+epoch: 327, beta = 0.004900, Train MSE: 0.000740, Train CE:0.000092, Train KL:1.124780, Val MSE:0.000700, Val CE:0.000015, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 329/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 329/1000:   3%|▎         | 1/36 [00:00<00:14,  2.48it/s]
+Epoch 329/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.10it/s]
+Epoch 329/1000:  25%|██▌       | 9/36 [00:00<00:01, 19.39it/s]
+Epoch 329/1000:  42%|████▏     | 15/36 [00:00<00:00, 29.04it/s]
+Epoch 329/1000:  61%|██████    | 22/36 [00:00<00:00, 38.49it/s]
+Epoch 329/1000:  78%|███████▊  | 28/36 [00:00<00:00, 43.26it/s]
+Epoch 329/1000:  92%|█████████▏| 33/36 [00:01<00:00, 43.83it/s]
+Epoch 329/1000: 100%|██████████| 36/36 [00:01<00:00, 29.41it/s]
+epoch: 328, beta = 0.004900, Train MSE: 0.000759, Train CE:0.000138, Train KL:1.150643, Val MSE:0.000687, Val CE:0.000009, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 330/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 330/1000:   3%|▎         | 1/36 [00:00<00:14,  2.45it/s]
+Epoch 330/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.89it/s]
+Epoch 330/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.27it/s]
+Epoch 330/1000:  42%|████▏     | 15/36 [00:00<00:00, 28.13it/s]
+Epoch 330/1000:  56%|█████▌    | 20/36 [00:00<00:00, 32.78it/s]
+Epoch 330/1000:  69%|██████▉   | 25/36 [00:00<00:00, 36.26it/s]
+Epoch 330/1000:  83%|████████▎ | 30/36 [00:01<00:00, 39.59it/s]
+Epoch 330/1000:  97%|█████████▋| 35/36 [00:01<00:00, 41.52it/s]
+Epoch 330/1000: 100%|██████████| 36/36 [00:01<00:00, 28.18it/s]
+epoch: 329, beta = 0.004900, Train MSE: 0.000670, Train CE:0.000010, Train KL:1.145250, Val MSE:0.000765, Val CE:0.000011, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 331/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 331/1000:   3%|▎         | 1/36 [00:00<00:14,  2.40it/s]
+Epoch 331/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.77it/s]
+Epoch 331/1000:  25%|██▌       | 9/36 [00:00<00:01, 18.81it/s]
+Epoch 331/1000:  36%|███▌      | 13/36 [00:00<00:00, 23.88it/s]
+Epoch 331/1000:  50%|█████     | 18/36 [00:00<00:00, 29.45it/s]
+Epoch 331/1000:  64%|██████▍   | 23/36 [00:00<00:00, 32.80it/s]
+Epoch 331/1000:  78%|███████▊  | 28/36 [00:01<00:00, 37.36it/s]
+Epoch 331/1000:  94%|█████████▍| 34/36 [00:01<00:00, 41.38it/s]
+Epoch 331/1000: 100%|██████████| 36/36 [00:01<00:00, 26.90it/s]
+Learning rate updated: 0.00022593554099256544
+epoch: 330, beta = 0.004900, Train MSE: 0.000674, Train CE:0.000002, Train KL:1.133488, Val MSE:0.000783, Val CE:0.000011, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 332/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 332/1000:   3%|▎         | 1/36 [00:00<00:15,  2.30it/s]
+Epoch 332/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.54it/s]
+Epoch 332/1000:  25%|██▌       | 9/36 [00:00<00:01, 18.11it/s]
+Epoch 332/1000:  39%|███▉      | 14/36 [00:00<00:00, 25.80it/s]
+Epoch 332/1000:  53%|█████▎    | 19/36 [00:00<00:00, 30.82it/s]
+Epoch 332/1000:  67%|██████▋   | 24/36 [00:00<00:00, 35.03it/s]
+Epoch 332/1000:  81%|████████  | 29/36 [00:01<00:00, 37.30it/s]
+Epoch 332/1000:  94%|█████████▍| 34/36 [00:01<00:00, 39.92it/s]
+Epoch 332/1000: 100%|██████████| 36/36 [00:01<00:00, 26.77it/s]
+epoch: 331, beta = 0.004900, Train MSE: 0.000727, Train CE:0.000037, Train KL:1.128016, Val MSE:0.000664, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 333/1000:   3%|▎         | 1/36 [00:00<00:14,  2.45it/s]
+Epoch 333/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.10it/s]
+Epoch 333/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.31it/s]
+Epoch 333/1000:  42%|████▏     | 15/36 [00:00<00:00, 28.02it/s]
+Epoch 333/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.27it/s]
+Epoch 333/1000:  75%|███████▌  | 27/36 [00:00<00:00, 41.09it/s]
+Epoch 333/1000:  92%|█████████▏| 33/36 [00:01<00:00, 46.10it/s]
+Epoch 333/1000: 100%|██████████| 36/36 [00:01<00:00, 28.85it/s]
+epoch: 332, beta = 0.004900, Train MSE: 0.000711, Train CE:0.000003, Train KL:1.143189, Val MSE:0.000662, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 334/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 334/1000:   3%|▎         | 1/36 [00:00<00:10,  3.26it/s]
+Epoch 334/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.25it/s]
+Epoch 334/1000:  28%|██▊       | 10/36 [00:00<00:01, 23.82it/s]
+Epoch 334/1000:  42%|████▏     | 15/36 [00:00<00:00, 30.74it/s]
+Epoch 334/1000:  58%|█████▊    | 21/36 [00:00<00:00, 37.26it/s]
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+Epoch 334/1000:  86%|████████▌ | 31/36 [00:00<00:00, 42.18it/s]
+Epoch 334/1000: 100%|██████████| 36/36 [00:01<00:00, 42.81it/s]
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+epoch: 333, beta = 0.004900, Train MSE: 0.000658, Train CE:0.000001, Train KL:1.135786, Val MSE:0.000727, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 335/1000:   3%|▎         | 1/36 [00:00<00:12,  2.88it/s]
+Epoch 335/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.56it/s]
+Epoch 335/1000:  31%|███       | 11/36 [00:00<00:01, 24.33it/s]
+Epoch 335/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.03it/s]
+Epoch 335/1000:  56%|█████▌    | 20/36 [00:00<00:00, 31.91it/s]
+Epoch 335/1000:  72%|███████▏  | 26/36 [00:00<00:00, 38.37it/s]
+Epoch 335/1000:  92%|█████████▏| 33/36 [00:01<00:00, 45.69it/s]
+Epoch 335/1000: 100%|██████████| 36/36 [00:01<00:00, 31.15it/s]
+epoch: 334, beta = 0.004900, Train MSE: 0.000733, Train CE:0.000003, Train KL:1.116656, Val MSE:0.000668, Val CE:0.000233, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 336/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 336/1000:   3%|▎         | 1/36 [00:00<00:13,  2.52it/s]
+Epoch 336/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.51it/s]
+Epoch 336/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.11it/s]
+Epoch 336/1000:  42%|████▏     | 15/36 [00:00<00:00, 28.39it/s]
+Epoch 336/1000:  56%|█████▌    | 20/36 [00:00<00:00, 33.79it/s]
+Epoch 336/1000:  72%|███████▏  | 26/36 [00:00<00:00, 40.58it/s]
+Epoch 336/1000:  89%|████████▉ | 32/36 [00:01<00:00, 45.58it/s]
+Epoch 336/1000: 100%|██████████| 36/36 [00:01<00:00, 30.21it/s]
+epoch: 335, beta = 0.004900, Train MSE: 0.000688, Train CE:0.000006, Train KL:1.112360, Val MSE:0.000713, Val CE:0.000010, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 337/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 337/1000:   3%|▎         | 1/36 [00:00<00:13,  2.61it/s]
+Epoch 337/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.04it/s]
+Epoch 337/1000:  31%|███       | 11/36 [00:00<00:01, 23.52it/s]
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+Epoch 337/1000:  61%|██████    | 22/36 [00:00<00:00, 35.75it/s]
+Epoch 337/1000:  78%|███████▊  | 28/36 [00:00<00:00, 41.30it/s]
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+Epoch 337/1000: 100%|██████████| 36/36 [00:01<00:00, 30.41it/s]
+epoch: 336, beta = 0.004900, Train MSE: 0.000693, Train CE:0.000017, Train KL:1.105330, Val MSE:0.000702, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 338/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.44it/s]
+Epoch 338/1000:  31%|███       | 11/36 [00:00<00:01, 24.07it/s]
+Epoch 338/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.63it/s]
+Epoch 338/1000:  64%|██████▍   | 23/36 [00:00<00:00, 38.95it/s]
+Epoch 338/1000:  81%|████████  | 29/36 [00:00<00:00, 42.92it/s]
+Epoch 338/1000:  97%|█████████▋| 35/36 [00:01<00:00, 47.30it/s]
+Epoch 338/1000: 100%|██████████| 36/36 [00:01<00:00, 31.03it/s]
+epoch: 337, beta = 0.004900, Train MSE: 0.000674, Train CE:0.000008, Train KL:1.106617, Val MSE:0.000785, Val CE:0.000043, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 339/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.66it/s]
+Epoch 339/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.27it/s]
+Epoch 339/1000:  50%|█████     | 18/36 [00:00<00:00, 34.92it/s]
+Epoch 339/1000:  64%|██████▍   | 23/36 [00:00<00:00, 36.25it/s]
+Epoch 339/1000:  81%|████████  | 29/36 [00:00<00:00, 42.22it/s]
+Epoch 339/1000:  94%|█████████▍| 34/36 [00:01<00:00, 42.92it/s]
+Epoch 339/1000: 100%|██████████| 36/36 [00:01<00:00, 29.41it/s]
+epoch: 338, beta = 0.004900, Train MSE: 0.000689, Train CE:0.000007, Train KL:1.105538, Val MSE:0.000700, Val CE:0.000006, Train ACC:1.000000, Val ACC:1.000000
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 340/1000:   3%|▎         | 1/36 [00:00<00:14,  2.39it/s]
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+Epoch 340/1000:  31%|███       | 11/36 [00:00<00:01, 23.09it/s]
+Epoch 340/1000:  44%|████▍     | 16/36 [00:00<00:00, 28.94it/s]
+Epoch 340/1000:  58%|█████▊    | 21/36 [00:00<00:00, 33.70it/s]
+Epoch 340/1000:  75%|███████▌  | 27/36 [00:00<00:00, 40.28it/s]
+Epoch 340/1000:  94%|█████████▍| 34/36 [00:01<00:00, 48.43it/s]
+Epoch 340/1000: 100%|██████████| 36/36 [00:01<00:00, 29.96it/s]
+epoch: 339, beta = 0.004900, Train MSE: 0.000678, Train CE:0.000053, Train KL:1.106306, Val MSE:0.000745, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 341/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.95it/s]
+Epoch 341/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.19it/s]
+Epoch 341/1000:  50%|█████     | 18/36 [00:00<00:00, 36.38it/s]
+Epoch 341/1000:  67%|██████▋   | 24/36 [00:00<00:00, 42.12it/s]
+Epoch 341/1000:  86%|████████▌ | 31/36 [00:00<00:00, 47.70it/s]
+Epoch 341/1000: 100%|██████████| 36/36 [00:01<00:00, 33.66it/s]
+epoch: 340, beta = 0.004900, Train MSE: 0.000675, Train CE:0.000014, Train KL:1.112247, Val MSE:0.000826, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 342/1000:   3%|▎         | 1/36 [00:00<00:12,  2.84it/s]
+Epoch 342/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.41it/s]
+Epoch 342/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.60it/s]
+Epoch 342/1000:  50%|█████     | 18/36 [00:00<00:00, 34.05it/s]
+Epoch 342/1000:  64%|██████▍   | 23/36 [00:00<00:00, 36.23it/s]
+Epoch 342/1000:  78%|███████▊  | 28/36 [00:00<00:00, 38.24it/s]
+Epoch 342/1000:  94%|█████████▍| 34/36 [00:01<00:00, 43.68it/s]
+Epoch 342/1000: 100%|██████████| 36/36 [00:01<00:00, 30.71it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 343/1000:   0%|          | 0/36 [00:00<?, ?it/s]Learning rate updated: 0.00021463876394293716
+epoch: 341, beta = 0.004900, Train MSE: 0.000704, Train CE:0.000011, Train KL:1.109327, Val MSE:0.000885, Val CE:0.000017, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 343/1000:   3%|▎         | 1/36 [00:00<00:13,  2.66it/s]
+Epoch 343/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.11it/s]
+Epoch 343/1000:  31%|███       | 11/36 [00:00<00:01, 24.19it/s]
+Epoch 343/1000:  44%|████▍     | 16/36 [00:00<00:00, 31.20it/s]
+Epoch 343/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.29it/s]
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+Epoch 343/1000:  86%|████████▌ | 31/36 [00:01<00:00, 41.75it/s]
+Epoch 343/1000: 100%|██████████| 36/36 [00:01<00:00, 31.34it/s]
+epoch: 342, beta = 0.004900, Train MSE: 0.000728, Train CE:0.000004, Train KL:1.106184, Val MSE:0.000645, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+epoch: 343, beta = 0.004900, Train MSE: 0.000661, Train CE:0.000083, Train KL:1.111334, Val MSE:0.000713, Val CE:0.000039, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 345/1000:  81%|████████  | 29/36 [00:00<00:00, 42.76it/s]
+Epoch 345/1000:  94%|█████████▍| 34/36 [00:01<00:00, 43.57it/s]
+Epoch 345/1000: 100%|██████████| 36/36 [00:01<00:00, 29.67it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 346/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 344, beta = 0.004900, Train MSE: 0.000631, Train CE:0.000006, Train KL:1.142969, Val MSE:0.000645, Val CE:0.000008, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 346/1000:   3%|▎         | 1/36 [00:00<00:15,  2.27it/s]
+Epoch 346/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.34it/s]
+Epoch 346/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.08it/s]
+Epoch 346/1000:  44%|████▍     | 16/36 [00:00<00:00, 28.07it/s]
+Epoch 346/1000:  56%|█████▌    | 20/36 [00:00<00:00, 30.33it/s]
+Epoch 346/1000:  69%|██████▉   | 25/36 [00:01<00:00, 33.83it/s]
+Epoch 346/1000:  83%|████████▎ | 30/36 [00:01<00:00, 37.60it/s]
+Epoch 346/1000: 100%|██████████| 36/36 [00:01<00:00, 41.81it/s]
+Epoch 346/1000: 100%|██████████| 36/36 [00:01<00:00, 27.68it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 347/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 345, beta = 0.004900, Train MSE: 0.000662, Train CE:0.000003, Train KL:1.125395, Val MSE:0.000682, Val CE:0.000113, Train ACC:1.000000, Val ACC:0.999944
+
+Epoch 347/1000:   3%|▎         | 1/36 [00:00<00:14,  2.43it/s]
+Epoch 347/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.84it/s]
+Epoch 347/1000:  25%|██▌       | 9/36 [00:00<00:01, 19.03it/s]
+Epoch 347/1000:  36%|███▌      | 13/36 [00:00<00:00, 24.38it/s]
+Epoch 347/1000:  47%|████▋     | 17/36 [00:00<00:00, 28.30it/s]
+Epoch 347/1000:  58%|█████▊    | 21/36 [00:00<00:00, 30.11it/s]
+Epoch 347/1000:  72%|███████▏  | 26/36 [00:01<00:00, 34.44it/s]
+Epoch 347/1000:  86%|████████▌ | 31/36 [00:01<00:00, 37.70it/s]
+Epoch 347/1000: 100%|██████████| 36/36 [00:01<00:00, 41.01it/s]
+Epoch 347/1000: 100%|██████████| 36/36 [00:01<00:00, 26.42it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 348/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 346, beta = 0.004900, Train MSE: 0.000690, Train CE:0.000003, Train KL:1.109614, Val MSE:0.000795, Val CE:0.000005, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 348/1000:   3%|▎         | 1/36 [00:00<00:15,  2.23it/s]
+Epoch 348/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.32it/s]
+Epoch 348/1000:  31%|███       | 11/36 [00:00<00:01, 21.84it/s]
+Epoch 348/1000:  42%|████▏     | 15/36 [00:00<00:00, 24.71it/s]
+Epoch 348/1000:  56%|█████▌    | 20/36 [00:00<00:00, 30.01it/s]
+Epoch 348/1000:  69%|██████▉   | 25/36 [00:01<00:00, 34.22it/s]
+Epoch 348/1000:  86%|████████▌ | 31/36 [00:01<00:00, 39.42it/s]
+Epoch 348/1000: 100%|██████████| 36/36 [00:01<00:00, 41.43it/s]
+Epoch 348/1000: 100%|██████████| 36/36 [00:01<00:00, 27.27it/s]
+epoch: 347, beta = 0.004900, Train MSE: 0.000711, Train CE:0.000015, Train KL:1.107173, Val MSE:0.000656, Val CE:0.000010, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 349/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 349/1000:   3%|▎         | 1/36 [00:00<00:14,  2.48it/s]
+Epoch 349/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.93it/s]
+Epoch 349/1000:  31%|███       | 11/36 [00:00<00:01, 21.95it/s]
+Epoch 349/1000:  42%|████▏     | 15/36 [00:00<00:00, 26.59it/s]
+Epoch 349/1000:  58%|█████▊    | 21/36 [00:00<00:00, 33.97it/s]
+Epoch 349/1000:  75%|███████▌  | 27/36 [00:00<00:00, 39.78it/s]
+Epoch 349/1000:  89%|████████▉ | 32/36 [00:01<00:00, 42.46it/s]
+Epoch 349/1000: 100%|██████████| 36/36 [00:01<00:00, 29.38it/s]
+epoch: 348, beta = 0.004900, Train MSE: 0.000699, Train CE:0.000005, Train KL:1.123427, Val MSE:0.000729, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 350/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 350/1000:   3%|▎         | 1/36 [00:00<00:13,  2.52it/s]
+Epoch 350/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.02it/s]
+Epoch 350/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.09it/s]
+Epoch 350/1000:  44%|████▍     | 16/36 [00:00<00:00, 27.41it/s]
+Epoch 350/1000:  61%|██████    | 22/36 [00:00<00:00, 35.05it/s]
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+Epoch 350/1000:  94%|█████████▍| 34/36 [00:01<00:00, 45.51it/s]
+Epoch 350/1000: 100%|██████████| 36/36 [00:01<00:00, 30.07it/s]
+epoch: 349, beta = 0.004900, Train MSE: 0.000680, Train CE:0.000009, Train KL:1.108481, Val MSE:0.000735, Val CE:0.000166, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 351/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 351/1000:   3%|▎         | 1/36 [00:00<00:10,  3.39it/s]
+Epoch 351/1000:  17%|█▋        | 6/36 [00:00<00:01, 18.43it/s]
+Epoch 351/1000:  33%|███▎      | 12/36 [00:00<00:00, 30.21it/s]
+Epoch 351/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.49it/s]
+Epoch 351/1000:  58%|█████▊    | 21/36 [00:00<00:00, 34.65it/s]
+Epoch 351/1000:  75%|███████▌  | 27/36 [00:00<00:00, 41.57it/s]
+Epoch 351/1000:  92%|█████████▏| 33/36 [00:00<00:00, 46.81it/s]
+Epoch 351/1000: 100%|██████████| 36/36 [00:01<00:00, 33.45it/s]
+epoch: 350, beta = 0.004900, Train MSE: 0.000726, Train CE:0.000012, Train KL:1.098451, Val MSE:0.000812, Val CE:0.000006, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 352/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 352/1000:   3%|▎         | 1/36 [00:00<00:13,  2.57it/s]
+Epoch 352/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.39it/s]
+Epoch 352/1000:  36%|███▌      | 13/36 [00:00<00:00, 27.35it/s]
+Epoch 352/1000:  50%|█████     | 18/36 [00:00<00:00, 30.73it/s]
+Epoch 352/1000:  61%|██████    | 22/36 [00:00<00:00, 33.04it/s]
+Epoch 352/1000:  78%|███████▊  | 28/36 [00:00<00:00, 39.51it/s]
+Epoch 352/1000:  97%|█████████▋| 35/36 [00:01<00:00, 47.85it/s]
+Epoch 352/1000: 100%|██████████| 36/36 [00:01<00:00, 31.41it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 353/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 351, beta = 0.004900, Train MSE: 0.000679, Train CE:0.000007, Train KL:1.114769, Val MSE:0.000727, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 353/1000:   3%|▎         | 1/36 [00:00<00:13,  2.61it/s]
+Epoch 353/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.72it/s]
+Epoch 353/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.27it/s]
+Epoch 353/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.65it/s]
+Epoch 353/1000:  61%|██████    | 22/36 [00:00<00:00, 34.87it/s]
+Epoch 353/1000:  75%|███████▌  | 27/36 [00:00<00:00, 38.63it/s]
+Epoch 353/1000:  92%|█████████▏| 33/36 [00:01<00:00, 44.01it/s]
+Epoch 353/1000: 100%|██████████| 36/36 [00:01<00:00, 30.05it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 354/1000:   0%|          | 0/36 [00:00<?, ?it/s]Learning rate updated: 0.0002039068257457903
+epoch: 352, beta = 0.004900, Train MSE: 0.000687, Train CE:0.000006, Train KL:1.105198, Val MSE:0.000659, Val CE:0.000102, Train ACC:1.000000, Val ACC:0.999944
+
+Epoch 354/1000:   3%|▎         | 1/36 [00:00<00:12,  2.75it/s]
+Epoch 354/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.85it/s]
+Epoch 354/1000:  28%|██▊       | 10/36 [00:00<00:01, 22.62it/s]
+Epoch 354/1000:  44%|████▍     | 16/36 [00:00<00:00, 32.17it/s]
+Epoch 354/1000:  58%|█████▊    | 21/36 [00:00<00:00, 36.73it/s]
+Epoch 354/1000:  72%|███████▏  | 26/36 [00:00<00:00, 38.63it/s]
+Epoch 354/1000:  89%|████████▉ | 32/36 [00:01<00:00, 43.72it/s]
+Epoch 354/1000: 100%|██████████| 36/36 [00:01<00:00, 31.81it/s]
+epoch: 353, beta = 0.004900, Train MSE: 0.000819, Train CE:0.000022, Train KL:1.092327, Val MSE:0.000720, Val CE:0.000074, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 355/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 355/1000:   3%|▎         | 1/36 [00:00<00:13,  2.63it/s]
+Epoch 355/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.80it/s]
+Epoch 355/1000:  31%|███       | 11/36 [00:00<00:01, 23.24it/s]
+Epoch 355/1000:  44%|████▍     | 16/36 [00:00<00:00, 29.43it/s]
+Epoch 355/1000:  61%|██████    | 22/36 [00:00<00:00, 35.56it/s]
+Epoch 355/1000:  78%|███████▊  | 28/36 [00:00<00:00, 40.28it/s]
+Epoch 355/1000:  94%|█████████▍| 34/36 [00:01<00:00, 45.24it/s]
+Epoch 355/1000: 100%|██████████| 36/36 [00:01<00:00, 30.27it/s]
+epoch: 354, beta = 0.004900, Train MSE: 0.000668, Train CE:0.000013, Train KL:1.120796, Val MSE:0.000701, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 356/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 356/1000:   3%|▎         | 1/36 [00:00<00:11,  2.96it/s]
+Epoch 356/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.37it/s]
+Epoch 356/1000:  28%|██▊       | 10/36 [00:00<00:01, 22.95it/s]
+Epoch 356/1000:  42%|████▏     | 15/36 [00:00<00:00, 30.61it/s]
+Epoch 356/1000:  58%|█████▊    | 21/36 [00:00<00:00, 37.70it/s]
+Epoch 356/1000:  75%|███████▌  | 27/36 [00:00<00:00, 42.64it/s]
+Epoch 356/1000:  92%|█████████▏| 33/36 [00:00<00:00, 46.91it/s]
+Epoch 356/1000: 100%|██████████| 36/36 [00:01<00:00, 32.36it/s]
+epoch: 355, beta = 0.004900, Train MSE: 0.000680, Train CE:0.000006, Train KL:1.116992, Val MSE:0.000625, Val CE:0.000018, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 357/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 357/1000:   3%|▎         | 1/36 [00:00<00:14,  2.42it/s]
+Epoch 357/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.26it/s]
+Epoch 357/1000:  25%|██▌       | 9/36 [00:00<00:01, 18.53it/s]
+Epoch 357/1000:  39%|███▉      | 14/36 [00:00<00:00, 26.51it/s]
+Epoch 357/1000:  53%|█████▎    | 19/36 [00:00<00:00, 32.05it/s]
+Epoch 357/1000:  69%|██████▉   | 25/36 [00:00<00:00, 39.54it/s]
+Epoch 357/1000:  89%|████████▉ | 32/36 [00:01<00:00, 46.38it/s]
+Epoch 357/1000: 100%|██████████| 36/36 [00:01<00:00, 28.27it/s]
+epoch: 356, beta = 0.004900, Train MSE: 0.000726, Train CE:0.000007, Train KL:1.114427, Val MSE:0.000703, Val CE:0.000073, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 358/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 358/1000:   3%|▎         | 1/36 [00:00<00:13,  2.61it/s]
+Epoch 358/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.15it/s]
+Epoch 358/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.81it/s]
+Epoch 358/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.88it/s]
+Epoch 358/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.35it/s]
+Epoch 358/1000:  78%|███████▊  | 28/36 [00:00<00:00, 43.30it/s]
+Epoch 358/1000:  97%|█████████▋| 35/36 [00:01<00:00, 48.84it/s]
+Epoch 358/1000: 100%|██████████| 36/36 [00:01<00:00, 30.39it/s]
+epoch: 357, beta = 0.004900, Train MSE: 0.000662, Train CE:0.000112, Train KL:1.111836, Val MSE:0.000642, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 359/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 359/1000:   3%|▎         | 1/36 [00:00<00:12,  2.74it/s]
+Epoch 359/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.69it/s]
+Epoch 359/1000:  31%|███       | 11/36 [00:00<00:01, 24.05it/s]
+Epoch 359/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.16it/s]
+Epoch 359/1000:  61%|██████    | 22/36 [00:00<00:00, 36.99it/s]
+Epoch 359/1000:  78%|███████▊  | 28/36 [00:00<00:00, 41.15it/s]
+Epoch 359/1000:  94%|█████████▍| 34/36 [00:01<00:00, 44.25it/s]
+Epoch 359/1000: 100%|██████████| 36/36 [00:01<00:00, 31.01it/s]
+epoch: 358, beta = 0.004900, Train MSE: 0.000631, Train CE:0.000035, Train KL:1.137444, Val MSE:0.000682, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 360/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 360/1000:   3%|▎         | 1/36 [00:00<00:13,  2.56it/s]
+Epoch 360/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.86it/s]
+Epoch 360/1000:  28%|██▊       | 10/36 [00:00<00:01, 20.79it/s]
+Epoch 360/1000:  42%|████▏     | 15/36 [00:00<00:00, 28.05it/s]
+Epoch 360/1000:  58%|█████▊    | 21/36 [00:00<00:00, 34.62it/s]
+Epoch 360/1000:  75%|███████▌  | 27/36 [00:00<00:00, 40.86it/s]
+Epoch 360/1000:  94%|█████████▍| 34/36 [00:01<00:00, 46.03it/s]
+Epoch 360/1000: 100%|██████████| 36/36 [00:01<00:00, 30.17it/s]
+epoch: 359, beta = 0.004900, Train MSE: 0.000677, Train CE:0.000001, Train KL:1.116255, Val MSE:0.000687, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 361/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 361/1000:   3%|▎         | 1/36 [00:00<00:12,  2.71it/s]
+Epoch 361/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.80it/s]
+Epoch 361/1000:  31%|███       | 11/36 [00:00<00:01, 23.93it/s]
+Epoch 361/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.55it/s]
+Epoch 361/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.69it/s]
+Epoch 361/1000:  75%|███████▌  | 27/36 [00:00<00:00, 41.53it/s]
+Epoch 361/1000:  94%|█████████▍| 34/36 [00:01<00:00, 47.88it/s]
+Epoch 361/1000: 100%|██████████| 36/36 [00:01<00:00, 31.58it/s]
+epoch: 360, beta = 0.004900, Train MSE: 0.000679, Train CE:0.000008, Train KL:1.109938, Val MSE:0.000644, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 362/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 362/1000:   3%|▎         | 1/36 [00:00<00:16,  2.17it/s]
+Epoch 362/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.04it/s]
+Epoch 362/1000:  31%|███       | 11/36 [00:00<00:01, 21.64it/s]
+Epoch 362/1000:  42%|████▏     | 15/36 [00:00<00:00, 25.91it/s]
+Epoch 362/1000:  56%|█████▌    | 20/36 [00:00<00:00, 30.79it/s]
+Epoch 362/1000:  69%|██████▉   | 25/36 [00:01<00:00, 34.44it/s]
+Epoch 362/1000:  83%|████████▎ | 30/36 [00:01<00:00, 36.34it/s]
+Epoch 362/1000: 100%|██████████| 36/36 [00:01<00:00, 41.71it/s]
+Epoch 362/1000: 100%|██████████| 36/36 [00:01<00:00, 27.17it/s]
+epoch: 361, beta = 0.004900, Train MSE: 0.000639, Train CE:0.000003, Train KL:1.116574, Val MSE:0.000712, Val CE:0.000011, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 363/1000:   0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 363/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.79it/s]
+Epoch 363/1000:  31%|███       | 11/36 [00:00<00:01, 21.91it/s]
+Epoch 363/1000:  42%|████▏     | 15/36 [00:00<00:00, 26.22it/s]
+Epoch 363/1000:  53%|█████▎    | 19/36 [00:00<00:00, 29.34it/s]
+Epoch 363/1000:  67%|██████▋   | 24/36 [00:00<00:00, 33.16it/s]
+Epoch 363/1000:  81%|████████  | 29/36 [00:01<00:00, 37.40it/s]
+Epoch 363/1000:  94%|█████████▍| 34/36 [00:01<00:00, 40.44it/s]
+Epoch 363/1000: 100%|██████████| 36/36 [00:01<00:00, 27.28it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 364/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 362, beta = 0.004900, Train MSE: 0.000683, Train CE:0.000020, Train KL:1.110641, Val MSE:0.000686, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 364/1000:   3%|▎         | 1/36 [00:00<00:13,  2.65it/s]
+Epoch 364/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.67it/s]
+Epoch 364/1000:  28%|██▊       | 10/36 [00:00<00:01, 22.51it/s]
+Epoch 364/1000:  42%|████▏     | 15/36 [00:00<00:00, 28.11it/s]
+Epoch 364/1000:  53%|█████▎    | 19/36 [00:00<00:00, 31.04it/s]
+Epoch 364/1000:  69%|██████▉   | 25/36 [00:00<00:00, 37.52it/s]
+Epoch 364/1000:  89%|████████▉ | 32/36 [00:01<00:00, 45.61it/s]
+Epoch 364/1000: 100%|██████████| 36/36 [00:01<00:00, 30.76it/s]
+Learning rate updated: 0.00019371148445850077
+epoch: 363, beta = 0.004900, Train MSE: 0.000692, Train CE:0.000048, Train KL:1.106141, Val MSE:0.000758, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 365/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 365/1000:   3%|▎         | 1/36 [00:00<00:15,  2.29it/s]
+Epoch 365/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.51it/s]
+Epoch 365/1000:  31%|███       | 11/36 [00:00<00:01, 23.58it/s]
+Epoch 365/1000:  44%|████▍     | 16/36 [00:00<00:00, 29.31it/s]
+Epoch 365/1000:  58%|█████▊    | 21/36 [00:00<00:00, 32.43it/s]
+Epoch 365/1000:  72%|███████▏  | 26/36 [00:00<00:00, 36.57it/s]
+Epoch 365/1000:  89%|████████▉ | 32/36 [00:01<00:00, 42.52it/s]
+Epoch 365/1000: 100%|██████████| 36/36 [00:01<00:00, 28.44it/s]
+epoch: 364, beta = 0.004900, Train MSE: 0.000695, Train CE:0.000000, Train KL:1.114608, Val MSE:0.000694, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 366/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 366/1000:   3%|▎         | 1/36 [00:00<00:13,  2.58it/s]
+Epoch 366/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.56it/s]
+Epoch 366/1000:  39%|███▉      | 14/36 [00:00<00:00, 30.41it/s]
+Epoch 366/1000:  53%|█████▎    | 19/36 [00:00<00:00, 34.43it/s]
+Epoch 366/1000:  67%|██████▋   | 24/36 [00:00<00:00, 35.19it/s]
+Epoch 366/1000:  81%|████████  | 29/36 [00:00<00:00, 38.11it/s]
+Epoch 366/1000:  97%|█████████▋| 35/36 [00:01<00:00, 43.76it/s]
+Epoch 366/1000: 100%|██████████| 36/36 [00:01<00:00, 30.34it/s]
+epoch: 365, beta = 0.004900, Train MSE: 0.000738, Train CE:0.000001, Train KL:1.110505, Val MSE:0.000665, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 367/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 367/1000:   3%|▎         | 1/36 [00:00<00:13,  2.60it/s]
+Epoch 367/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.75it/s]
+Epoch 367/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.53it/s]
+Epoch 367/1000:  53%|█████▎    | 19/36 [00:00<00:00, 35.41it/s]
+Epoch 367/1000:  67%|██████▋   | 24/36 [00:00<00:00, 37.69it/s]
+Epoch 367/1000:  83%|████████▎ | 30/36 [00:00<00:00, 41.87it/s]
+Epoch 367/1000: 100%|██████████| 36/36 [00:01<00:00, 31.02it/s]
+epoch: 366, beta = 0.004900, Train MSE: 0.000636, Train CE:0.000003, Train KL:1.116283, Val MSE:0.000639, Val CE:0.000029, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 368/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 368/1000:   3%|▎         | 1/36 [00:00<00:12,  2.89it/s]
+Epoch 368/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.96it/s]
+Epoch 368/1000:  31%|███       | 11/36 [00:00<00:01, 24.24it/s]
+Epoch 368/1000:  42%|████▏     | 15/36 [00:00<00:00, 28.29it/s]
+Epoch 368/1000:  53%|█████▎    | 19/36 [00:00<00:00, 31.59it/s]
+Epoch 368/1000:  67%|██████▋   | 24/36 [00:00<00:00, 33.26it/s]
+Epoch 368/1000:  81%|████████  | 29/36 [00:01<00:00, 36.99it/s]
+Epoch 368/1000: 100%|██████████| 36/36 [00:01<00:00, 44.86it/s]
+Epoch 368/1000: 100%|██████████| 36/36 [00:01<00:00, 30.01it/s]
+epoch: 367, beta = 0.004900, Train MSE: 0.000674, Train CE:0.000096, Train KL:1.110519, Val MSE:0.000708, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 369/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+
+Epoch 369/1000:   3%|▎         | 1/36 [00:00<00:12,  2.78it/s]
+Epoch 369/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.80it/s]
+Epoch 369/1000:  31%|███       | 11/36 [00:00<00:00, 25.15it/s]
+Epoch 369/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.19it/s]
+Epoch 369/1000:  58%|█████▊    | 21/36 [00:00<00:00, 34.15it/s]
+Epoch 369/1000:  72%|███████▏  | 26/36 [00:00<00:00, 36.22it/s]
+Epoch 369/1000:  92%|█████████▏| 33/36 [00:01<00:00, 44.78it/s]
+Epoch 369/1000: 100%|██████████| 36/36 [00:01<00:00, 30.19it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 370/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 368, beta = 0.004900, Train MSE: 0.000635, Train CE:0.000001, Train KL:1.126124, Val MSE:0.000736, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 370/1000:   3%|▎         | 1/36 [00:00<00:12,  2.89it/s]
+Epoch 370/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.50it/s]
+Epoch 370/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.30it/s]
+Epoch 370/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.73it/s]
+Epoch 370/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.05it/s]
+Epoch 370/1000:  72%|███████▏  | 26/36 [00:00<00:00, 38.76it/s]
+Epoch 370/1000:  86%|████████▌ | 31/36 [00:01<00:00, 39.31it/s]
+Epoch 370/1000: 100%|██████████| 36/36 [00:01<00:00, 31.09it/s]
+epoch: 369, beta = 0.004900, Train MSE: 0.000701, Train CE:0.000000, Train KL:1.103180, Val MSE:0.000748, Val CE:0.000023, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 371/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 371/1000:   3%|▎         | 1/36 [00:00<00:14,  2.47it/s]
+Epoch 371/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.90it/s]
+Epoch 371/1000:  25%|██▌       | 9/36 [00:00<00:01, 19.18it/s]
+Epoch 371/1000:  39%|███▉      | 14/36 [00:00<00:00, 27.15it/s]
+Epoch 371/1000:  56%|█████▌    | 20/36 [00:00<00:00, 35.28it/s]
+Epoch 371/1000:  69%|██████▉   | 25/36 [00:00<00:00, 38.60it/s]
+Epoch 371/1000:  86%|████████▌ | 31/36 [00:01<00:00, 43.52it/s]
+Epoch 371/1000: 100%|██████████| 36/36 [00:01<00:00, 29.21it/s]
+epoch: 370, beta = 0.004900, Train MSE: 0.000707, Train CE:0.000001, Train KL:1.100381, Val MSE:0.000739, Val CE:0.000006, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 372/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 372/1000:   3%|▎         | 1/36 [00:00<00:12,  2.80it/s]
+Epoch 372/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.33it/s]
+Epoch 372/1000:  31%|███       | 11/36 [00:00<00:01, 23.49it/s]
+Epoch 372/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.02it/s]
+Epoch 372/1000:  61%|██████    | 22/36 [00:00<00:00, 33.48it/s]
+Epoch 372/1000:  75%|███████▌  | 27/36 [00:00<00:00, 36.86it/s]
+Epoch 372/1000:  92%|█████████▏| 33/36 [00:01<00:00, 41.66it/s]
+Epoch 372/1000: 100%|██████████| 36/36 [00:01<00:00, 29.67it/s]
+epoch: 371, beta = 0.004900, Train MSE: 0.000703, Train CE:0.000002, Train KL:1.096141, Val MSE:0.000804, Val CE:0.000254, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 373/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 373/1000:   3%|▎         | 1/36 [00:00<00:15,  2.24it/s]
+Epoch 373/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.33it/s]
+Epoch 373/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.82it/s]
+Epoch 373/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.03it/s]
+Epoch 373/1000:  64%|██████▍   | 23/36 [00:00<00:00, 36.84it/s]
+Epoch 373/1000:  78%|███████▊  | 28/36 [00:01<00:00, 38.24it/s]
+Epoch 373/1000:  94%|█████████▍| 34/36 [00:01<00:00, 43.10it/s]
+Epoch 373/1000: 100%|██████████| 36/36 [00:01<00:00, 29.55it/s]
+epoch: 372, beta = 0.004900, Train MSE: 0.000715, Train CE:0.000002, Train KL:1.090508, Val MSE:0.000723, Val CE:0.000012, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 374/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 374/1000:   3%|▎         | 1/36 [00:00<00:12,  2.80it/s]
+Epoch 374/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.93it/s]
+Epoch 374/1000:  31%|███       | 11/36 [00:00<00:00, 25.29it/s]
+Epoch 374/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.28it/s]
+Epoch 374/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.25it/s]
+Epoch 374/1000:  78%|███████▊  | 28/36 [00:00<00:00, 39.71it/s]
+Epoch 374/1000:  94%|█████████▍| 34/36 [00:01<00:00, 43.23it/s]
+Epoch 374/1000: 100%|██████████| 36/36 [00:01<00:00, 30.91it/s]
+epoch: 373, beta = 0.004900, Train MSE: 0.000682, Train CE:0.000002, Train KL:1.093012, Val MSE:0.000835, Val CE:0.000204, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 375/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 375/1000:   3%|▎         | 1/36 [00:00<00:12,  2.90it/s]
+Epoch 375/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.21it/s]
+Epoch 375/1000:  36%|███▌      | 13/36 [00:00<00:00, 30.16it/s]
+Epoch 375/1000:  53%|█████▎    | 19/36 [00:00<00:00, 37.85it/s]
+Epoch 375/1000:  69%|██████▉   | 25/36 [00:00<00:00, 42.50it/s]
+Epoch 375/1000:  83%|████████▎ | 30/36 [00:00<00:00, 42.59it/s]
+Epoch 375/1000: 100%|██████████| 36/36 [00:01<00:00, 45.61it/s]
+Epoch 375/1000: 100%|██████████| 36/36 [00:01<00:00, 31.78it/s]
+Learning rate updated: 0.00018402591023557573
+epoch: 374, beta = 0.004900, Train MSE: 0.000696, Train CE:0.000013, Train KL:1.103686, Val MSE:0.000734, Val CE:0.000041, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 376/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 376/1000:   3%|▎         | 1/36 [00:00<00:13,  2.60it/s]
+Epoch 376/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.28it/s]
+Epoch 376/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.71it/s]
+Epoch 376/1000:  50%|█████     | 18/36 [00:00<00:00, 35.31it/s]
+Epoch 376/1000:  69%|██████▉   | 25/36 [00:00<00:00, 43.49it/s]
+Epoch 376/1000:  86%|████████▌ | 31/36 [00:00<00:00, 41.23it/s]
+Epoch 376/1000: 100%|██████████| 36/36 [00:01<00:00, 43.03it/s]
+Epoch 376/1000: 100%|██████████| 36/36 [00:01<00:00, 31.02it/s]
+epoch: 375, beta = 0.004900, Train MSE: 0.000676, Train CE:0.000010, Train KL:1.097394, Val MSE:0.000675, Val CE:0.000024, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 377/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 377/1000:   3%|▎         | 1/36 [00:00<00:12,  2.81it/s]
+Epoch 377/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.42it/s]
+Epoch 377/1000:  28%|██▊       | 10/36 [00:00<00:01, 23.70it/s]
+Epoch 377/1000:  44%|████▍     | 16/36 [00:00<00:00, 33.92it/s]
+Epoch 377/1000:  61%|██████    | 22/36 [00:00<00:00, 40.25it/s]
+Epoch 377/1000:  78%|███████▊  | 28/36 [00:00<00:00, 44.37it/s]
+Epoch 377/1000:  92%|█████████▏| 33/36 [00:01<00:00, 44.09it/s]
+Epoch 377/1000: 100%|██████████| 36/36 [00:01<00:00, 31.02it/s]
+epoch: 376, beta = 0.004900, Train MSE: 0.000715, Train CE:0.000001, Train KL:1.093827, Val MSE:0.000747, Val CE:0.000833, Train ACC:1.000000, Val ACC:0.999944
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 378/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 378/1000:   3%|▎         | 1/36 [00:00<00:12,  2.75it/s]
+Epoch 378/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.67it/s]
+Epoch 378/1000:  31%|███       | 11/36 [00:00<00:01, 23.05it/s]
+Epoch 378/1000:  42%|████▏     | 15/36 [00:00<00:00, 27.55it/s]
+Epoch 378/1000:  53%|█████▎    | 19/36 [00:00<00:00, 29.91it/s]
+Epoch 378/1000:  67%|██████▋   | 24/36 [00:00<00:00, 33.68it/s]
+Epoch 378/1000:  78%|███████▊  | 28/36 [00:01<00:00, 34.88it/s]
+Epoch 378/1000:  89%|████████▉ | 32/36 [00:01<00:00, 35.32it/s]
+Epoch 378/1000: 100%|██████████| 36/36 [00:01<00:00, 27.36it/s]
+epoch: 377, beta = 0.004900, Train MSE: 0.000656, Train CE:0.000002, Train KL:1.100064, Val MSE:0.000705, Val CE:0.000225, Train ACC:1.000000, Val ACC:0.999972
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 379/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+
+Epoch 379/1000:   3%|▎         | 1/36 [00:00<00:13,  2.60it/s]
+Epoch 379/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.93it/s]
+Epoch 379/1000:  25%|██▌       | 9/36 [00:00<00:01, 19.04it/s]
+Epoch 379/1000:  36%|███▌      | 13/36 [00:00<00:00, 23.66it/s]
+Epoch 379/1000:  47%|████▋     | 17/36 [00:00<00:00, 27.94it/s]
+Epoch 379/1000:  64%|██████▍   | 23/36 [00:00<00:00, 35.69it/s]
+Epoch 379/1000:  81%|████████  | 29/36 [00:01<00:00, 41.48it/s]
+Epoch 379/1000:  97%|█████████▋| 35/36 [00:01<00:00, 44.58it/s]
+Epoch 379/1000: 100%|██████████| 36/36 [00:01<00:00, 28.26it/s]
+epoch: 378, beta = 0.004900, Train MSE: 0.000716, Train CE:0.000015, Train KL:1.090683, Val MSE:0.000747, Val CE:0.000084, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 380/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 380/1000:   3%|▎         | 1/36 [00:00<00:15,  2.23it/s]
+Epoch 380/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.28it/s]
+Epoch 380/1000:  28%|██▊       | 10/36 [00:00<00:01, 20.81it/s]
+Epoch 380/1000:  42%|████▏     | 15/36 [00:00<00:00, 27.94it/s]
+Epoch 380/1000:  56%|█████▌    | 20/36 [00:00<00:00, 32.20it/s]
+Epoch 380/1000:  69%|██████▉   | 25/36 [00:01<00:00, 35.30it/s]
+Epoch 380/1000:  83%|████████▎ | 30/36 [00:01<00:00, 38.98it/s]
+Epoch 380/1000:  97%|█████████▋| 35/36 [00:01<00:00, 37.87it/s]
+Epoch 380/1000: 100%|██████████| 36/36 [00:01<00:00, 26.23it/s]
+epoch: 379, beta = 0.004900, Train MSE: 0.000675, Train CE:0.000001, Train KL:1.103302, Val MSE:0.000655, Val CE:0.000005, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 381/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 381/1000:   3%|▎         | 1/36 [00:00<00:12,  2.82it/s]
+Epoch 381/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.14it/s]
+Epoch 381/1000:  28%|██▊       | 10/36 [00:00<00:01, 22.69it/s]
+Epoch 381/1000:  44%|████▍     | 16/36 [00:00<00:00, 32.55it/s]
+Epoch 381/1000:  61%|██████    | 22/36 [00:00<00:00, 39.19it/s]
+Epoch 381/1000:  78%|███████▊  | 28/36 [00:00<00:00, 44.29it/s]
+Epoch 381/1000:  92%|█████████▏| 33/36 [00:01<00:00, 44.47it/s]
+Epoch 381/1000: 100%|██████████| 36/36 [00:01<00:00, 30.16it/s]
+epoch: 380, beta = 0.004900, Train MSE: 0.000680, Train CE:0.000026, Train KL:1.098426, Val MSE:0.000652, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 382/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+
+Epoch 382/1000:   3%|▎         | 1/36 [00:00<00:14,  2.44it/s]
+Epoch 382/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.37it/s]
+Epoch 382/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.99it/s]
+Epoch 382/1000:  50%|█████     | 18/36 [00:00<00:00, 33.45it/s]
+Epoch 382/1000:  67%|██████▋   | 24/36 [00:00<00:00, 39.79it/s]
+Epoch 382/1000:  83%|████████▎ | 30/36 [00:00<00:00, 44.76it/s]
+Epoch 382/1000: 100%|██████████| 36/36 [00:01<00:00, 43.20it/s]
+Epoch 382/1000: 100%|██████████| 36/36 [00:01<00:00, 30.77it/s]
+epoch: 381, beta = 0.004900, Train MSE: 0.000669, Train CE:0.000012, Train KL:1.093692, Val MSE:0.000783, Val CE:0.000070, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 383/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 383/1000:   3%|▎         | 1/36 [00:00<00:12,  2.80it/s]
+Epoch 383/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.10it/s]
+Epoch 383/1000:  31%|███       | 11/36 [00:00<00:01, 24.42it/s]
+Epoch 383/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.29it/s]
+Epoch 383/1000:  64%|██████▍   | 23/36 [00:00<00:00, 40.15it/s]
+Epoch 383/1000:  78%|███████▊  | 28/36 [00:00<00:00, 39.59it/s]
+Epoch 383/1000:  92%|█████████▏| 33/36 [00:01<00:00, 39.97it/s]
+Epoch 383/1000: 100%|██████████| 36/36 [00:01<00:00, 29.93it/s]
+epoch: 382, beta = 0.004900, Train MSE: 0.000784, Train CE:0.000002, Train KL:1.092484, Val MSE:0.000689, Val CE:0.000010, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 384/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 384/1000:   3%|▎         | 1/36 [00:00<00:14,  2.46it/s]
+Epoch 384/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.75it/s]
+Epoch 384/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.83it/s]
+Epoch 384/1000:  50%|█████     | 18/36 [00:00<00:00, 34.32it/s]
+Epoch 384/1000:  64%|██████▍   | 23/36 [00:00<00:00, 37.03it/s]
+Epoch 384/1000:  78%|███████▊  | 28/36 [00:00<00:00, 40.18it/s]
+Epoch 384/1000:  92%|█████████▏| 33/36 [00:01<00:00, 38.68it/s]
+Epoch 384/1000: 100%|██████████| 36/36 [00:01<00:00, 28.74it/s]
+epoch: 383, beta = 0.004900, Train MSE: 0.000646, Train CE:0.000003, Train KL:1.110275, Val MSE:0.000715, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 385/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 385/1000:   3%|▎         | 1/36 [00:00<00:11,  3.17it/s]
+Epoch 385/1000:  19%|█▉        | 7/36 [00:00<00:01, 20.37it/s]
+Epoch 385/1000:  33%|███▎      | 12/36 [00:00<00:00, 29.00it/s]
+Epoch 385/1000:  50%|█████     | 18/36 [00:00<00:00, 36.63it/s]
+Epoch 385/1000:  64%|██████▍   | 23/36 [00:00<00:00, 38.16it/s]
+Epoch 385/1000:  78%|███████▊  | 28/36 [00:00<00:00, 39.96it/s]
+Epoch 385/1000:  92%|█████████▏| 33/36 [00:01<00:00, 40.20it/s]
+Epoch 385/1000: 100%|██████████| 36/36 [00:01<00:00, 31.30it/s]
+epoch: 384, beta = 0.004900, Train MSE: 0.000665, Train CE:0.000024, Train KL:1.099537, Val MSE:0.000730, Val CE:0.000072, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 386/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 386/1000:   3%|▎         | 1/36 [00:00<00:13,  2.64it/s]
+Epoch 386/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.25it/s]
+Epoch 386/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.48it/s]
+Epoch 386/1000:  50%|█████     | 18/36 [00:00<00:00, 34.05it/s]
+Epoch 386/1000:  64%|██████▍   | 23/36 [00:00<00:00, 36.27it/s]
+Epoch 386/1000:  78%|███████▊  | 28/36 [00:00<00:00, 39.01it/s]
+Epoch 386/1000:  92%|█████████▏| 33/36 [00:01<00:00, 40.09it/s]
+Epoch 386/1000: 100%|██████████| 36/36 [00:01<00:00, 30.20it/s]
+Learning rate updated: 0.00017482461472379692
+epoch: 385, beta = 0.004900, Train MSE: 0.000774, Train CE:0.000020, Train KL:1.091079, Val MSE:0.000758, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 387/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 387/1000:   3%|▎         | 1/36 [00:00<00:14,  2.49it/s]
+Epoch 387/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.36it/s]
+Epoch 387/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.83it/s]
+Epoch 387/1000:  50%|█████     | 18/36 [00:00<00:00, 34.41it/s]
+Epoch 387/1000:  67%|██████▋   | 24/36 [00:00<00:00, 39.65it/s]
+Epoch 387/1000:  81%|████████  | 29/36 [00:00<00:00, 40.11it/s]
+Epoch 387/1000:  94%|█████████▍| 34/36 [00:01<00:00, 41.55it/s]
+Epoch 387/1000: 100%|██████████| 36/36 [00:01<00:00, 29.98it/s]
+epoch: 386, beta = 0.004900, Train MSE: 0.000677, Train CE:0.000283, Train KL:1.105085, Val MSE:0.000761, Val CE:0.000006, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 388/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 388/1000:   3%|▎         | 1/36 [00:00<00:12,  2.79it/s]
+Epoch 388/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.70it/s]
+Epoch 388/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.75it/s]
+Epoch 388/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.66it/s]
+Epoch 388/1000:  61%|██████    | 22/36 [00:00<00:00, 37.20it/s]
+Epoch 388/1000:  75%|███████▌  | 27/36 [00:00<00:00, 39.21it/s]
+Epoch 388/1000:  89%|████████▉ | 32/36 [00:01<00:00, 40.34it/s]
+Epoch 388/1000: 100%|██████████| 36/36 [00:01<00:00, 30.69it/s]
+epoch: 387, beta = 0.004900, Train MSE: 0.000654, Train CE:0.000001, Train KL:1.105763, Val MSE:0.000718, Val CE:0.000013, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 389/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 389/1000:   3%|▎         | 1/36 [00:00<00:14,  2.45it/s]
+Epoch 389/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.09it/s]
+Epoch 389/1000:  39%|███▉      | 14/36 [00:00<00:00, 29.82it/s]
+Epoch 389/1000:  53%|█████▎    | 19/36 [00:00<00:00, 34.51it/s]
+Epoch 389/1000:  69%|██████▉   | 25/36 [00:00<00:00, 40.88it/s]
+Epoch 389/1000:  86%|████████▌ | 31/36 [00:00<00:00, 42.37it/s]
+Epoch 389/1000: 100%|██████████| 36/36 [00:01<00:00, 41.35it/s]
+Epoch 389/1000: 100%|██████████| 36/36 [00:01<00:00, 30.16it/s]
+epoch: 388, beta = 0.004900, Train MSE: 0.000803, Train CE:0.000012, Train KL:1.117735, Val MSE:0.000595, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 390/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 390/1000:   3%|▎         | 1/36 [00:00<00:11,  3.13it/s]
+Epoch 390/1000:  25%|██▌       | 9/36 [00:00<00:01, 26.14it/s]
+Epoch 390/1000:  42%|████▏     | 15/36 [00:00<00:00, 35.96it/s]
+Epoch 390/1000:  58%|█████▊    | 21/36 [00:00<00:00, 42.39it/s]
+Epoch 390/1000:  75%|███████▌  | 27/36 [00:00<00:00, 45.00it/s]
+Epoch 390/1000:  92%|█████████▏| 33/36 [00:00<00:00, 47.12it/s]
+Epoch 390/1000: 100%|██████████| 36/36 [00:01<00:00, 35.03it/s]
+epoch: 389, beta = 0.004900, Train MSE: 0.000608, Train CE:0.000001, Train KL:1.127172, Val MSE:0.000693, Val CE:0.000027, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 391/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 391/1000:   3%|▎         | 1/36 [00:00<00:12,  2.70it/s]
+Epoch 391/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.49it/s]
+Epoch 391/1000:  36%|███▌      | 13/36 [00:00<00:00, 29.04it/s]
+Epoch 391/1000:  50%|█████     | 18/36 [00:00<00:00, 33.33it/s]
+Epoch 391/1000:  64%|██████▍   | 23/36 [00:00<00:00, 36.83it/s]
+Epoch 391/1000:  81%|████████  | 29/36 [00:00<00:00, 41.59it/s]
+Epoch 391/1000:  97%|█████████▋| 35/36 [00:01<00:00, 45.58it/s]
+Epoch 391/1000: 100%|██████████| 36/36 [00:01<00:00, 32.34it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 392/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 390, beta = 0.004900, Train MSE: 0.000661, Train CE:0.000016, Train KL:1.105973, Val MSE:0.000667, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 392/1000:   3%|▎         | 1/36 [00:00<00:12,  2.84it/s]
+Epoch 392/1000:  22%|██▏       | 8/36 [00:00<00:01, 21.79it/s]
+Epoch 392/1000:  39%|███▉      | 14/36 [00:00<00:00, 32.18it/s]
+Epoch 392/1000:  53%|█████▎    | 19/36 [00:00<00:00, 34.26it/s]
+Epoch 392/1000:  67%|██████▋   | 24/36 [00:00<00:00, 37.41it/s]
+Epoch 392/1000:  83%|████████▎ | 30/36 [00:00<00:00, 41.60it/s]
+Epoch 392/1000: 100%|██████████| 36/36 [00:01<00:00, 45.20it/s]
+Epoch 392/1000: 100%|██████████| 36/36 [00:01<00:00, 31.14it/s]
+epoch: 391, beta = 0.004900, Train MSE: 0.000864, Train CE:0.000004, Train KL:1.103369, Val MSE:0.000715, Val CE:0.000031, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 393/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 393/1000:   3%|▎         | 1/36 [00:00<00:11,  3.03it/s]
+Epoch 393/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.39it/s]
+Epoch 393/1000:  39%|███▉      | 14/36 [00:00<00:00, 33.46it/s]
+Epoch 393/1000:  56%|█████▌    | 20/36 [00:00<00:00, 38.99it/s]
+Epoch 393/1000:  69%|██████▉   | 25/36 [00:00<00:00, 36.42it/s]
+Epoch 393/1000:  83%|████████▎ | 30/36 [00:00<00:00, 38.67it/s]
+Epoch 393/1000: 100%|██████████| 36/36 [00:01<00:00, 32.84it/s]
+epoch: 392, beta = 0.004900, Train MSE: 0.000684, Train CE:0.000002, Train KL:1.099652, Val MSE:0.000706, Val CE:0.000019, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 394/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 394/1000:   3%|▎         | 1/36 [00:00<00:13,  2.64it/s]
+Epoch 394/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.27it/s]
+Epoch 394/1000:  36%|███▌      | 13/36 [00:00<00:00, 29.70it/s]
+Epoch 394/1000:  53%|█████▎    | 19/36 [00:00<00:00, 36.38it/s]
+Epoch 394/1000:  67%|██████▋   | 24/36 [00:00<00:00, 37.64it/s]
+Epoch 394/1000:  81%|████████  | 29/36 [00:00<00:00, 38.95it/s]
+Epoch 394/1000:  94%|█████████▍| 34/36 [00:01<00:00, 39.90it/s]
+Epoch 394/1000: 100%|██████████| 36/36 [00:01<00:00, 30.47it/s]
+epoch: 393, beta = 0.004900, Train MSE: 0.000695, Train CE:0.000005, Train KL:1.087803, Val MSE:0.000675, Val CE:0.000029, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 395/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 395/1000:   3%|▎         | 1/36 [00:00<00:15,  2.24it/s]
+Epoch 395/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.39it/s]
+Epoch 395/1000:  31%|███       | 11/36 [00:00<00:01, 22.27it/s]
+Epoch 395/1000:  44%|████▍     | 16/36 [00:00<00:00, 29.20it/s]
+Epoch 395/1000:  58%|█████▊    | 21/36 [00:00<00:00, 32.39it/s]
+Epoch 395/1000:  72%|███████▏  | 26/36 [00:01<00:00, 34.41it/s]
+Epoch 395/1000:  83%|████████▎ | 30/36 [00:01<00:00, 35.13it/s]
+Epoch 395/1000:  97%|█████████▋| 35/36 [00:01<00:00, 37.74it/s]
+Epoch 395/1000: 100%|██████████| 36/36 [00:01<00:00, 26.09it/s]
+epoch: 394, beta = 0.004900, Train MSE: 0.000673, Train CE:0.000010, Train KL:1.082956, Val MSE:0.000675, Val CE:0.000006, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 396/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 396/1000:   3%|▎         | 1/36 [00:00<00:15,  2.20it/s]
+Epoch 396/1000:  19%|█▉        | 7/36 [00:00<00:01, 15.44it/s]
+Epoch 396/1000:  33%|███▎      | 12/36 [00:00<00:01, 23.11it/s]
+Epoch 396/1000:  47%|████▋     | 17/36 [00:00<00:00, 28.11it/s]
+Epoch 396/1000:  61%|██████    | 22/36 [00:00<00:00, 32.32it/s]
+Epoch 396/1000:  72%|███████▏  | 26/36 [00:01<00:00, 33.71it/s]
+Epoch 396/1000:  86%|████████▌ | 31/36 [00:01<00:00, 36.21it/s]
+Epoch 396/1000: 100%|██████████| 36/36 [00:01<00:00, 37.79it/s]
+Epoch 396/1000: 100%|██████████| 36/36 [00:01<00:00, 26.25it/s]
+epoch: 395, beta = 0.004900, Train MSE: 0.000739, Train CE:0.000150, Train KL:1.091340, Val MSE:0.000928, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 397/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 397/1000:   3%|▎         | 1/36 [00:00<00:14,  2.44it/s]
+Epoch 397/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.55it/s]
+Epoch 397/1000:  28%|██▊       | 10/36 [00:00<00:01, 20.76it/s]
+Epoch 397/1000:  39%|███▉      | 14/36 [00:00<00:00, 25.16it/s]
+Epoch 397/1000:  53%|█████▎    | 19/36 [00:00<00:00, 31.01it/s]
+Epoch 397/1000:  67%|██████▋   | 24/36 [00:00<00:00, 34.31it/s]
+Epoch 397/1000:  78%|███████▊  | 28/36 [00:01<00:00, 35.29it/s]
+Epoch 397/1000:  92%|█████████▏| 33/36 [00:01<00:00, 38.48it/s]
+Epoch 397/1000: 100%|██████████| 36/36 [00:01<00:00, 27.12it/s]
+Learning rate updated: 0.00016608338398760707
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 398/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 396, beta = 0.004900, Train MSE: 0.000708, Train CE:0.000055, Train KL:1.128294, Val MSE:0.000686, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 398/1000:   3%|▎         | 1/36 [00:00<00:14,  2.34it/s]
+Epoch 398/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.06it/s]
+Epoch 398/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.61it/s]
+Epoch 398/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.00it/s]
+Epoch 398/1000:  61%|██████    | 22/36 [00:00<00:00, 36.01it/s]
+Epoch 398/1000:  75%|███████▌  | 27/36 [00:00<00:00, 37.35it/s]
+Epoch 398/1000:  89%|████████▉ | 32/36 [00:01<00:00, 40.00it/s]
+Epoch 398/1000: 100%|██████████| 36/36 [00:01<00:00, 29.42it/s]
+epoch: 397, beta = 0.004900, Train MSE: 0.000732, Train CE:0.000001, Train KL:1.113740, Val MSE:0.000640, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 399/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 399/1000:   3%|▎         | 1/36 [00:00<00:16,  2.09it/s]
+Epoch 399/1000:  17%|█▋        | 6/36 [00:00<00:02, 12.83it/s]
+Epoch 399/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.11it/s]
+Epoch 399/1000:  47%|████▋     | 17/36 [00:00<00:00, 29.79it/s]
+Epoch 399/1000:  61%|██████    | 22/36 [00:00<00:00, 31.88it/s]
+Epoch 399/1000:  75%|███████▌  | 27/36 [00:01<00:00, 35.77it/s]
+Epoch 399/1000:  92%|█████████▏| 33/36 [00:01<00:00, 40.68it/s]
+Epoch 399/1000: 100%|██████████| 36/36 [00:01<00:00, 27.97it/s]
+epoch: 398, beta = 0.004900, Train MSE: 0.000676, Train CE:0.000001, Train KL:1.103363, Val MSE:0.000842, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 400/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 400/1000:   3%|▎         | 1/36 [00:00<00:12,  2.81it/s]
+Epoch 400/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.62it/s]
+Epoch 400/1000:  36%|███▌      | 13/36 [00:00<00:00, 29.14it/s]
+Epoch 400/1000:  53%|█████▎    | 19/36 [00:00<00:00, 36.39it/s]
+Epoch 400/1000:  67%|██████▋   | 24/36 [00:00<00:00, 36.73it/s]
+Epoch 400/1000:  81%|████████  | 29/36 [00:00<00:00, 39.66it/s]
+Epoch 400/1000:  97%|█████████▋| 35/36 [00:01<00:00, 42.81it/s]
+Epoch 400/1000: 100%|██████████| 36/36 [00:01<00:00, 30.58it/s]
+epoch: 399, beta = 0.004900, Train MSE: 0.000687, Train CE:0.000001, Train KL:1.095531, Val MSE:0.000659, Val CE:0.000024, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 401/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 401/1000:   3%|▎         | 1/36 [00:00<00:13,  2.69it/s]
+Epoch 401/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.34it/s]
+Epoch 401/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.18it/s]
+Epoch 401/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.60it/s]
+Epoch 401/1000:  61%|██████    | 22/36 [00:00<00:00, 36.87it/s]
+Epoch 401/1000:  75%|███████▌  | 27/36 [00:00<00:00, 38.50it/s]
+Epoch 401/1000:  92%|█████████▏| 33/36 [00:01<00:00, 42.82it/s]
+Epoch 401/1000: 100%|██████████| 36/36 [00:01<00:00, 29.84it/s]
+epoch: 400, beta = 0.004900, Train MSE: 0.000652, Train CE:0.000158, Train KL:1.100254, Val MSE:0.000660, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 402/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 402/1000:   3%|▎         | 1/36 [00:00<00:12,  2.71it/s]
+Epoch 402/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.24it/s]
+Epoch 402/1000:  31%|███       | 11/36 [00:00<00:01, 24.77it/s]
+Epoch 402/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.57it/s]
+Epoch 402/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.39it/s]
+Epoch 402/1000:  75%|███████▌  | 27/36 [00:00<00:00, 39.83it/s]
+Epoch 402/1000:  92%|█████████▏| 33/36 [00:01<00:00, 43.47it/s]
+Epoch 402/1000: 100%|██████████| 36/36 [00:01<00:00, 30.26it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 403/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 401, beta = 0.004900, Train MSE: 0.000686, Train CE:0.000137, Train KL:1.114055, Val MSE:0.000753, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 403/1000:   3%|▎         | 1/36 [00:00<00:13,  2.58it/s]
+Epoch 403/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.96it/s]
+Epoch 403/1000:  31%|███       | 11/36 [00:00<00:01, 24.39it/s]
+Epoch 403/1000:  42%|████▏     | 15/36 [00:00<00:00, 28.63it/s]
+Epoch 403/1000:  53%|█████▎    | 19/36 [00:00<00:00, 31.12it/s]
+Epoch 403/1000:  67%|██████▋   | 24/36 [00:00<00:00, 34.31it/s]
+Epoch 403/1000:  83%|████████▎ | 30/36 [00:01<00:00, 39.50it/s]
+Epoch 403/1000:  97%|█████████▋| 35/36 [00:01<00:00, 42.22it/s]
+Epoch 403/1000: 100%|██████████| 36/36 [00:01<00:00, 28.45it/s]
+epoch: 402, beta = 0.004900, Train MSE: 0.000793, Train CE:0.000000, Train KL:1.109128, Val MSE:0.000711, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 404/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 404/1000:   3%|▎         | 1/36 [00:00<00:12,  2.85it/s]
+Epoch 404/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.36it/s]
+Epoch 404/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.53it/s]
+Epoch 404/1000:  44%|████▍     | 16/36 [00:00<00:00, 29.25it/s]
+Epoch 404/1000:  56%|█████▌    | 20/36 [00:00<00:00, 32.00it/s]
+Epoch 404/1000:  69%|██████▉   | 25/36 [00:00<00:00, 36.17it/s]
+Epoch 404/1000:  83%|████████▎ | 30/36 [00:01<00:00, 38.30it/s]
+Epoch 404/1000: 100%|██████████| 36/36 [00:01<00:00, 30.84it/s]
+epoch: 403, beta = 0.004900, Train MSE: 0.000626, Train CE:0.000000, Train KL:1.126944, Val MSE:0.000710, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 405/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 405/1000:   3%|▎         | 1/36 [00:00<00:12,  2.85it/s]
+Epoch 405/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.02it/s]
+Epoch 405/1000:  33%|███▎      | 12/36 [00:00<00:00, 28.02it/s]
+Epoch 405/1000:  47%|████▋     | 17/36 [00:00<00:00, 30.01it/s]
+Epoch 405/1000:  58%|█████▊    | 21/36 [00:00<00:00, 32.47it/s]
+Epoch 405/1000:  75%|███████▌  | 27/36 [00:00<00:00, 38.75it/s]
+Epoch 405/1000:  94%|█████████▍| 34/36 [00:01<00:00, 46.32it/s]
+Epoch 405/1000: 100%|██████████| 36/36 [00:01<00:00, 30.79it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]epoch: 404, beta = 0.004900, Train MSE: 0.000697, Train CE:0.000002, Train KL:1.110604, Val MSE:0.000665, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 406/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 406/1000:   3%|▎         | 1/36 [00:00<00:11,  2.99it/s]
+Epoch 406/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.33it/s]
+Epoch 406/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.97it/s]
+Epoch 406/1000:  50%|█████     | 18/36 [00:00<00:00, 35.21it/s]
+Epoch 406/1000:  67%|██████▋   | 24/36 [00:00<00:00, 41.03it/s]
+Epoch 406/1000:  83%|████████▎ | 30/36 [00:00<00:00, 44.55it/s]
+Epoch 406/1000: 100%|██████████| 36/36 [00:01<00:00, 48.28it/s]
+Epoch 406/1000: 100%|██████████| 36/36 [00:01<00:00, 33.32it/s]
+epoch: 405, beta = 0.004900, Train MSE: 0.000669, Train CE:0.000001, Train KL:1.098753, Val MSE:0.000666, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 407/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 407/1000:   3%|▎         | 1/36 [00:00<00:14,  2.41it/s]
+Epoch 407/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.48it/s]
+Epoch 407/1000:  28%|██▊       | 10/36 [00:00<00:01, 20.96it/s]
+Epoch 407/1000:  39%|███▉      | 14/36 [00:00<00:00, 25.68it/s]
+Epoch 407/1000:  58%|█████▊    | 21/36 [00:00<00:00, 37.21it/s]
+Epoch 407/1000:  78%|███████▊  | 28/36 [00:00<00:00, 44.58it/s]
+Epoch 407/1000:  97%|█████████▋| 35/36 [00:01<00:00, 51.21it/s]
+Epoch 407/1000: 100%|██████████| 36/36 [00:01<00:00, 30.28it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 408/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 406, beta = 0.004900, Train MSE: 0.000666, Train CE:0.000002, Train KL:1.086460, Val MSE:0.000735, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 408/1000:   3%|▎         | 1/36 [00:00<00:12,  2.74it/s]
+Epoch 408/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.22it/s]
+Epoch 408/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.11it/s]
+Epoch 408/1000:  47%|████▋     | 17/36 [00:00<00:00, 30.71it/s]
+Epoch 408/1000:  61%|██████    | 22/36 [00:00<00:00, 35.36it/s]
+Epoch 408/1000:  78%|███████▊  | 28/36 [00:00<00:00, 40.58it/s]
+Epoch 408/1000:  97%|█████████▋| 35/36 [00:01<00:00, 46.86it/s]
+Epoch 408/1000: 100%|██████████| 36/36 [00:01<00:00, 29.01it/s]
+Learning rate updated: 0.0001577792147882267
+epoch: 407, beta = 0.004900, Train MSE: 0.000719, Train CE:0.000003, Train KL:1.084963, Val MSE:0.000682, Val CE:0.000075, Train ACC:1.000000, Val ACC:0.999944
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 409/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 409/1000:   3%|▎         | 1/36 [00:00<00:12,  2.70it/s]
+Epoch 409/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.50it/s]
+Epoch 409/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.88it/s]
+Epoch 409/1000:  50%|█████     | 18/36 [00:00<00:00, 33.99it/s]
+Epoch 409/1000:  64%|██████▍   | 23/36 [00:00<00:00, 35.84it/s]
+Epoch 409/1000:  81%|████████  | 29/36 [00:00<00:00, 40.63it/s]
+Epoch 409/1000: 100%|██████████| 36/36 [00:01<00:00, 47.31it/s]
+Epoch 409/1000: 100%|██████████| 36/36 [00:01<00:00, 32.16it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 410/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 408, beta = 0.004900, Train MSE: 0.000641, Train CE:0.000018, Train KL:1.091776, Val MSE:0.000645, Val CE:0.000020, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 410/1000:   3%|▎         | 1/36 [00:00<00:12,  2.74it/s]
+Epoch 410/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.79it/s]
+Epoch 410/1000:  28%|██▊       | 10/36 [00:00<00:01, 23.09it/s]
+Epoch 410/1000:  42%|████▏     | 15/36 [00:00<00:00, 29.93it/s]
+Epoch 410/1000:  56%|█████▌    | 20/36 [00:00<00:00, 34.97it/s]
+Epoch 410/1000:  69%|██████▉   | 25/36 [00:00<00:00, 34.78it/s]
+Epoch 410/1000:  83%|████████▎ | 30/36 [00:01<00:00, 38.78it/s]
+Epoch 410/1000: 100%|██████████| 36/36 [00:01<00:00, 44.12it/s]
+Epoch 410/1000: 100%|██████████| 36/36 [00:01<00:00, 28.89it/s]
+epoch: 409, beta = 0.004900, Train MSE: 0.000663, Train CE:0.000004, Train KL:1.083979, Val MSE:0.000720, Val CE:0.000012, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 411/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 411/1000:   3%|▎         | 1/36 [00:00<00:14,  2.36it/s]
+Epoch 411/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.96it/s]
+Epoch 411/1000:  31%|███       | 11/36 [00:00<00:01, 23.05it/s]
+Epoch 411/1000:  44%|████▍     | 16/36 [00:00<00:00, 29.09it/s]
+Epoch 411/1000:  61%|██████    | 22/36 [00:00<00:00, 36.73it/s]
+Epoch 411/1000:  75%|███████▌  | 27/36 [00:00<00:00, 36.87it/s]
+Epoch 411/1000:  89%|████████▉ | 32/36 [00:01<00:00, 38.99it/s]
+Epoch 411/1000: 100%|██████████| 36/36 [00:01<00:00, 28.79it/s]
+epoch: 410, beta = 0.004900, Train MSE: 0.000696, Train CE:0.000002, Train KL:1.099846, Val MSE:0.000632, Val CE:0.000065, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 412/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 412/1000:   3%|▎         | 1/36 [00:00<00:14,  2.35it/s]
+Epoch 412/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.70it/s]
+Epoch 412/1000:  39%|███▉      | 14/36 [00:00<00:00, 30.01it/s]
+Epoch 412/1000:  58%|█████▊    | 21/36 [00:00<00:00, 39.72it/s]
+Epoch 412/1000:  75%|███████▌  | 27/36 [00:00<00:00, 42.73it/s]
+Epoch 412/1000:  92%|█████████▏| 33/36 [00:01<00:00, 41.53it/s]
+Epoch 412/1000: 100%|██████████| 36/36 [00:01<00:00, 31.31it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 413/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 411, beta = 0.004900, Train MSE: 0.000628, Train CE:0.000059, Train KL:1.100815, Val MSE:0.000583, Val CE:0.000071, Train ACC:1.000000, Val ACC:0.999972
+
+Epoch 413/1000:   3%|▎         | 1/36 [00:00<00:16,  2.18it/s]
+Epoch 413/1000:  17%|█▋        | 6/36 [00:00<00:02, 12.97it/s]
+Epoch 413/1000:  31%|███       | 11/36 [00:00<00:01, 21.20it/s]
+Epoch 413/1000:  44%|████▍     | 16/36 [00:00<00:00, 27.41it/s]
+Epoch 413/1000:  58%|█████▊    | 21/36 [00:00<00:00, 31.23it/s]
+Epoch 413/1000:  72%|███████▏  | 26/36 [00:01<00:00, 35.51it/s]
+Epoch 413/1000:  86%|████████▌ | 31/36 [00:01<00:00, 37.66it/s]
+Epoch 413/1000: 100%|██████████| 36/36 [00:01<00:00, 40.51it/s]
+Epoch 413/1000: 100%|██████████| 36/36 [00:01<00:00, 26.76it/s]
+epoch: 412, beta = 0.004900, Train MSE: 0.000561, Train CE:0.000003, Train KL:1.112108, Val MSE:0.000640, Val CE:0.000241, Train ACC:1.000000, Val ACC:0.999944
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 414/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 414/1000:   3%|▎         | 1/36 [00:00<00:10,  3.25it/s]
+Epoch 414/1000:  14%|█▍        | 5/36 [00:00<00:02, 14.62it/s]
+Epoch 414/1000:  28%|██▊       | 10/36 [00:00<00:01, 25.04it/s]
+Epoch 414/1000:  42%|████▏     | 15/36 [00:00<00:00, 31.81it/s]
+Epoch 414/1000:  58%|█████▊    | 21/36 [00:00<00:00, 37.54it/s]
+Epoch 414/1000:  72%|███████▏  | 26/36 [00:00<00:00, 40.39it/s]
+Epoch 414/1000:  89%|████████▉ | 32/36 [00:00<00:00, 45.48it/s]
+Epoch 414/1000: 100%|██████████| 36/36 [00:01<00:00, 33.02it/s]
+epoch: 413, beta = 0.004900, Train MSE: 0.000691, Train CE:0.000008, Train KL:1.084641, Val MSE:0.000682, Val CE:0.000085, Train ACC:1.000000, Val ACC:0.999944
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 415/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 415/1000:   3%|▎         | 1/36 [00:00<00:12,  2.86it/s]
+Epoch 415/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.48it/s]
+Epoch 415/1000:  28%|██▊       | 10/36 [00:00<00:01, 23.33it/s]
+Epoch 415/1000:  42%|████▏     | 15/36 [00:00<00:00, 30.07it/s]
+Epoch 415/1000:  53%|█████▎    | 19/36 [00:00<00:00, 32.72it/s]
+Epoch 415/1000:  67%|██████▋   | 24/36 [00:00<00:00, 36.87it/s]
+Epoch 415/1000:  83%|████████▎ | 30/36 [00:00<00:00, 43.22it/s]
+Epoch 415/1000: 100%|██████████| 36/36 [00:01<00:00, 31.34it/s]
+epoch: 414, beta = 0.004900, Train MSE: 0.000647, Train CE:0.000145, Train KL:1.103203, Val MSE:0.000670, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 416/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 416/1000:   3%|▎         | 1/36 [00:00<00:11,  2.96it/s]
+Epoch 416/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.22it/s]
+Epoch 416/1000:  31%|███       | 11/36 [00:00<00:01, 24.04it/s]
+Epoch 416/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.52it/s]
+Epoch 416/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.48it/s]
+Epoch 416/1000:  75%|███████▌  | 27/36 [00:00<00:00, 41.60it/s]
+Epoch 416/1000:  92%|█████████▏| 33/36 [00:01<00:00, 46.79it/s]
+Epoch 416/1000: 100%|██████████| 36/36 [00:01<00:00, 31.18it/s]
+epoch: 415, beta = 0.004900, Train MSE: 0.000687, Train CE:0.000000, Train KL:1.111139, Val MSE:0.000700, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 417/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 417/1000:   3%|▎         | 1/36 [00:00<00:11,  3.15it/s]
+Epoch 417/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.83it/s]
+Epoch 417/1000:  31%|███       | 11/36 [00:00<00:00, 26.02it/s]
+Epoch 417/1000:  42%|████▏     | 15/36 [00:00<00:00, 29.73it/s]
+Epoch 417/1000:  53%|█████▎    | 19/36 [00:00<00:00, 31.27it/s]
+Epoch 417/1000:  67%|██████▋   | 24/36 [00:00<00:00, 35.92it/s]
+Epoch 417/1000:  86%|████████▌ | 31/36 [00:00<00:00, 45.06it/s]
+Epoch 417/1000: 100%|██████████| 36/36 [00:01<00:00, 31.89it/s]
+epoch: 416, beta = 0.004900, Train MSE: 0.000656, Train CE:0.000001, Train KL:1.106743, Val MSE:0.000606, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 418/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 418/1000:   3%|▎         | 1/36 [00:00<00:15,  2.19it/s]
+Epoch 418/1000:  19%|█▉        | 7/36 [00:00<00:01, 15.48it/s]
+Epoch 418/1000:  33%|███▎      | 12/36 [00:00<00:01, 23.69it/s]
+Epoch 418/1000:  44%|████▍     | 16/36 [00:00<00:00, 25.72it/s]
+Epoch 418/1000:  58%|█████▊    | 21/36 [00:00<00:00, 31.57it/s]
+Epoch 418/1000:  75%|███████▌  | 27/36 [00:01<00:00, 38.54it/s]
+Epoch 418/1000:  97%|█████████▋| 35/36 [00:01<00:00, 48.20it/s]
+Epoch 418/1000: 100%|██████████| 36/36 [00:01<00:00, 29.49it/s]
+epoch: 417, beta = 0.004900, Train MSE: 0.000629, Train CE:0.000001, Train KL:1.099418, Val MSE:0.000731, Val CE:0.000012, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 419/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 419/1000:   3%|▎         | 1/36 [00:00<00:13,  2.61it/s]
+Epoch 419/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.57it/s]
+Epoch 419/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.48it/s]
+Epoch 419/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.03it/s]
+Epoch 419/1000:  61%|██████    | 22/36 [00:00<00:00, 34.18it/s]
+Epoch 419/1000:  78%|███████▊  | 28/36 [00:00<00:00, 39.64it/s]
+Epoch 419/1000:  97%|█████████▋| 35/36 [00:01<00:00, 46.83it/s]
+Epoch 419/1000: 100%|██████████| 36/36 [00:01<00:00, 31.37it/s]
+Learning rate updated: 0.00014989025404881537
+epoch: 418, beta = 0.004900, Train MSE: 0.000707, Train CE:0.000001, Train KL:1.097419, Val MSE:0.000657, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 420/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 420/1000:   3%|▎         | 1/36 [00:00<00:12,  2.76it/s]
+Epoch 420/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.79it/s]
+Epoch 420/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.70it/s]
+Epoch 420/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.73it/s]
+Epoch 420/1000:  61%|██████    | 22/36 [00:00<00:00, 35.28it/s]
+Epoch 420/1000:  75%|███████▌  | 27/36 [00:00<00:00, 38.12it/s]
+Epoch 420/1000:  94%|█████████▍| 34/36 [00:01<00:00, 45.51it/s]
+Epoch 420/1000: 100%|██████████| 36/36 [00:01<00:00, 31.02it/s]
+epoch: 419, beta = 0.004900, Train MSE: 0.000648, Train CE:0.000021, Train KL:1.101173, Val MSE:0.000614, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 421/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 421/1000:   3%|▎         | 1/36 [00:00<00:11,  3.16it/s]
+Epoch 421/1000:  19%|█▉        | 7/36 [00:00<00:01, 20.30it/s]
+Epoch 421/1000:  33%|███▎      | 12/36 [00:00<00:00, 28.30it/s]
+Epoch 421/1000:  50%|█████     | 18/36 [00:00<00:00, 35.47it/s]
+Epoch 421/1000:  64%|██████▍   | 23/36 [00:00<00:00, 37.86it/s]
+Epoch 421/1000:  78%|███████▊  | 28/36 [00:00<00:00, 38.55it/s]
+Epoch 421/1000:  94%|█████████▍| 34/36 [00:01<00:00, 43.54it/s]
+Epoch 421/1000: 100%|██████████| 36/36 [00:01<00:00, 32.83it/s]
+epoch: 420, beta = 0.004900, Train MSE: 0.000630, Train CE:0.000001, Train KL:1.097965, Val MSE:0.000735, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 422/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 422/1000:   3%|▎         | 1/36 [00:00<00:13,  2.61it/s]
+Epoch 422/1000:  11%|█         | 4/36 [00:00<00:03,  9.98it/s]
+Epoch 422/1000:  25%|██▌       | 9/36 [00:00<00:01, 20.97it/s]
+Epoch 422/1000:  39%|███▉      | 14/36 [00:00<00:00, 28.02it/s]
+Epoch 422/1000:  53%|█████▎    | 19/36 [00:00<00:00, 33.07it/s]
+Epoch 422/1000:  69%|██████▉   | 25/36 [00:00<00:00, 40.17it/s]
+Epoch 422/1000:  86%|████████▌ | 31/36 [00:01<00:00, 44.09it/s]
+Epoch 422/1000: 100%|██████████| 36/36 [00:01<00:00, 29.57it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 423/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 421, beta = 0.004900, Train MSE: 0.000647, Train CE:0.000083, Train KL:1.098235, Val MSE:0.000725, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 423/1000:   3%|▎         | 1/36 [00:00<00:15,  2.20it/s]
+Epoch 423/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.51it/s]
+Epoch 423/1000:  36%|███▌      | 13/36 [00:00<00:00, 27.53it/s]
+Epoch 423/1000:  53%|█████▎    | 19/36 [00:00<00:00, 35.63it/s]
+Epoch 423/1000:  69%|██████▉   | 25/36 [00:00<00:00, 40.58it/s]
+Epoch 423/1000:  86%|████████▌ | 31/36 [00:00<00:00, 44.90it/s]
+Epoch 423/1000: 100%|██████████| 36/36 [00:01<00:00, 31.29it/s]
+epoch: 422, beta = 0.004900, Train MSE: 0.000719, Train CE:0.000002, Train KL:1.092579, Val MSE:0.000697, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 424/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 424/1000:   3%|▎         | 1/36 [00:00<00:13,  2.62it/s]
+Epoch 424/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.79it/s]
+Epoch 424/1000:  31%|███       | 11/36 [00:00<00:01, 23.49it/s]
+Epoch 424/1000:  44%|████▍     | 16/36 [00:00<00:00, 29.83it/s]
+Epoch 424/1000:  58%|█████▊    | 21/36 [00:00<00:00, 34.24it/s]
+Epoch 424/1000:  75%|███████▌  | 27/36 [00:00<00:00, 39.95it/s]
+Epoch 424/1000:  92%|█████████▏| 33/36 [00:01<00:00, 45.06it/s]
+Epoch 424/1000: 100%|██████████| 36/36 [00:01<00:00, 31.07it/s]
+epoch: 423, beta = 0.004900, Train MSE: 0.000660, Train CE:0.000001, Train KL:1.085627, Val MSE:0.000723, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 425/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 425/1000:   3%|▎         | 1/36 [00:00<00:13,  2.54it/s]
+Epoch 425/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.82it/s]
+Epoch 425/1000:  28%|██▊       | 10/36 [00:00<00:01, 20.58it/s]
+Epoch 425/1000:  42%|████▏     | 15/36 [00:00<00:00, 28.25it/s]
+Epoch 425/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.66it/s]
+Epoch 425/1000:  72%|███████▏  | 26/36 [00:00<00:00, 38.89it/s]
+Epoch 425/1000:  89%|████████▉ | 32/36 [00:01<00:00, 42.78it/s]
+Epoch 425/1000: 100%|██████████| 36/36 [00:01<00:00, 30.50it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 426/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 424, beta = 0.004900, Train MSE: 0.000676, Train CE:0.000002, Train KL:1.078083, Val MSE:0.000726, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 426/1000:   3%|▎         | 1/36 [00:00<00:13,  2.67it/s]
+Epoch 426/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.82it/s]
+Epoch 426/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.40it/s]
+Epoch 426/1000:  44%|████▍     | 16/36 [00:00<00:00, 28.78it/s]
+Epoch 426/1000:  61%|██████    | 22/36 [00:00<00:00, 35.92it/s]
+Epoch 426/1000:  78%|███████▊  | 28/36 [00:00<00:00, 41.45it/s]
+Epoch 426/1000: 100%|██████████| 36/36 [00:01<00:00, 51.49it/s]
+Epoch 426/1000: 100%|██████████| 36/36 [00:01<00:00, 32.75it/s]
+epoch: 425, beta = 0.004900, Train MSE: 0.000772, Train CE:0.000006, Train KL:1.074459, Val MSE:0.000712, Val CE:0.000156, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 427/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 427/1000:   3%|▎         | 1/36 [00:00<00:13,  2.54it/s]
+Epoch 427/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.55it/s]
+Epoch 427/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.25it/s]
+Epoch 427/1000:  39%|███▉      | 14/36 [00:00<00:00, 23.80it/s]
+Epoch 427/1000:  53%|█████▎    | 19/36 [00:00<00:00, 29.14it/s]
+Epoch 427/1000:  67%|██████▋   | 24/36 [00:00<00:00, 33.75it/s]
+Epoch 427/1000:  83%|████████▎ | 30/36 [00:01<00:00, 39.69it/s]
+Epoch 427/1000: 100%|██████████| 36/36 [00:01<00:00, 44.28it/s]
+Epoch 427/1000: 100%|██████████| 36/36 [00:01<00:00, 27.71it/s]
+epoch: 426, beta = 0.004900, Train MSE: 0.000703, Train CE:0.000024, Train KL:1.091569, Val MSE:0.000632, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 428/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 428/1000:   3%|▎         | 1/36 [00:00<00:14,  2.39it/s]
+Epoch 428/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.21it/s]
+Epoch 428/1000:  31%|███       | 11/36 [00:00<00:01, 22.23it/s]
+Epoch 428/1000:  42%|████▏     | 15/36 [00:00<00:00, 26.26it/s]
+Epoch 428/1000:  56%|█████▌    | 20/36 [00:00<00:00, 31.06it/s]
+Epoch 428/1000:  69%|██████▉   | 25/36 [00:00<00:00, 35.12it/s]
+Epoch 428/1000:  83%|████████▎ | 30/36 [00:01<00:00, 36.82it/s]
+Epoch 428/1000:  97%|█████████▋| 35/36 [00:01<00:00, 39.85it/s]
+Epoch 428/1000: 100%|██████████| 36/36 [00:01<00:00, 27.10it/s]
+epoch: 427, beta = 0.004900, Train MSE: 0.000645, Train CE:0.000005, Train KL:1.090088, Val MSE:0.000658, Val CE:0.000298, Train ACC:1.000000, Val ACC:0.999944
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 429/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 429/1000:   3%|▎         | 1/36 [00:00<00:15,  2.22it/s]
+Epoch 429/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.27it/s]
+Epoch 429/1000:  31%|███       | 11/36 [00:00<00:01, 21.66it/s]
+Epoch 429/1000:  42%|████▏     | 15/36 [00:00<00:00, 26.09it/s]
+Epoch 429/1000:  53%|█████▎    | 19/36 [00:00<00:00, 28.31it/s]
+Epoch 429/1000:  67%|██████▋   | 24/36 [00:01<00:00, 32.67it/s]
+Epoch 429/1000:  78%|███████▊  | 28/36 [00:01<00:00, 33.95it/s]
+Epoch 429/1000:  94%|█████████▍| 34/36 [00:01<00:00, 40.76it/s]
+Epoch 429/1000: 100%|██████████| 36/36 [00:01<00:00, 27.04it/s]
+epoch: 428, beta = 0.004900, Train MSE: 0.000664, Train CE:0.000009, Train KL:1.081785, Val MSE:0.000692, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 430/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 430/1000:   3%|▎         | 1/36 [00:00<00:13,  2.53it/s]
+Epoch 430/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.90it/s]
+Epoch 430/1000:  31%|███       | 11/36 [00:00<00:01, 23.03it/s]
+Epoch 430/1000:  44%|████▍     | 16/36 [00:00<00:00, 29.36it/s]
+Epoch 430/1000:  58%|█████▊    | 21/36 [00:00<00:00, 33.65it/s]
+Epoch 430/1000:  75%|███████▌  | 27/36 [00:00<00:00, 38.71it/s]
+Epoch 430/1000:  94%|█████████▍| 34/36 [00:01<00:00, 46.51it/s]
+Epoch 430/1000: 100%|██████████| 36/36 [00:01<00:00, 30.74it/s]
+Learning rate updated: 0.00014239574134637458
+epoch: 429, beta = 0.004900, Train MSE: 0.000692, Train CE:0.000002, Train KL:1.085104, Val MSE:0.000661, Val CE:0.000051, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 431/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 431/1000:   3%|▎         | 1/36 [00:00<00:14,  2.47it/s]
+Epoch 431/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.11it/s]
+Epoch 431/1000:  31%|███       | 11/36 [00:00<00:01, 22.49it/s]
+Epoch 431/1000:  44%|████▍     | 16/36 [00:00<00:00, 28.22it/s]
+Epoch 431/1000:  61%|██████    | 22/36 [00:00<00:00, 34.72it/s]
+Epoch 431/1000:  78%|███████▊  | 28/36 [00:00<00:00, 39.85it/s]
+Epoch 431/1000:  94%|█████████▍| 34/36 [00:01<00:00, 44.82it/s]
+Epoch 431/1000: 100%|██████████| 36/36 [00:01<00:00, 29.10it/s]
+epoch: 430, beta = 0.004900, Train MSE: 0.000685, Train CE:0.000010, Train KL:1.100077, Val MSE:0.000636, Val CE:0.000014, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 432/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 432/1000:   3%|▎         | 1/36 [00:00<00:15,  2.23it/s]
+Epoch 432/1000:  22%|██▏       | 8/36 [00:00<00:01, 17.81it/s]
+Epoch 432/1000:  36%|███▌      | 13/36 [00:00<00:00, 24.95it/s]
+Epoch 432/1000:  53%|█████▎    | 19/36 [00:00<00:00, 32.10it/s]
+Epoch 432/1000:  69%|██████▉   | 25/36 [00:00<00:00, 38.05it/s]
+Epoch 432/1000:  86%|████████▌ | 31/36 [00:01<00:00, 42.67it/s]
+Epoch 432/1000: 100%|██████████| 36/36 [00:01<00:00, 30.08it/s]
+epoch: 431, beta = 0.004900, Train MSE: 0.000634, Train CE:0.000018, Train KL:1.094157, Val MSE:0.000699, Val CE:0.000005, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 433/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 433/1000:   3%|▎         | 1/36 [00:00<00:11,  3.00it/s]
+Epoch 433/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.80it/s]
+Epoch 433/1000:  31%|███       | 11/36 [00:00<00:00, 26.49it/s]
+Epoch 433/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.66it/s]
+Epoch 433/1000:  61%|██████    | 22/36 [00:00<00:00, 37.58it/s]
+Epoch 433/1000:  75%|███████▌  | 27/36 [00:00<00:00, 40.50it/s]
+Epoch 433/1000:  92%|█████████▏| 33/36 [00:00<00:00, 44.38it/s]
+Epoch 433/1000: 100%|██████████| 36/36 [00:01<00:00, 32.75it/s]
+epoch: 432, beta = 0.004900, Train MSE: 0.000670, Train CE:0.000003, Train KL:1.083008, Val MSE:0.000703, Val CE:0.000027, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 434/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 434/1000:   3%|▎         | 1/36 [00:00<00:10,  3.18it/s]
+Epoch 434/1000:  14%|█▍        | 5/36 [00:00<00:02, 14.42it/s]
+Epoch 434/1000:  28%|██▊       | 10/36 [00:00<00:01, 23.92it/s]
+Epoch 434/1000:  42%|████▏     | 15/36 [00:00<00:00, 31.08it/s]
+Epoch 434/1000:  53%|█████▎    | 19/36 [00:00<00:00, 32.68it/s]
+Epoch 434/1000:  67%|██████▋   | 24/36 [00:00<00:00, 35.72it/s]
+Epoch 434/1000:  83%|████████▎ | 30/36 [00:00<00:00, 41.27it/s]
+Epoch 434/1000: 100%|██████████| 36/36 [00:01<00:00, 29.87it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 435/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 433, beta = 0.004900, Train MSE: 0.000665, Train CE:0.000018, Train KL:1.080257, Val MSE:0.000658, Val CE:0.000008, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 435/1000:   3%|▎         | 1/36 [00:00<00:12,  2.90it/s]
+Epoch 435/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.68it/s]
+Epoch 435/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.38it/s]
+Epoch 435/1000:  50%|█████     | 18/36 [00:00<00:00, 35.88it/s]
+Epoch 435/1000:  67%|██████▋   | 24/36 [00:00<00:00, 40.63it/s]
+Epoch 435/1000:  81%|████████  | 29/36 [00:00<00:00, 42.68it/s]
+Epoch 435/1000: 100%|██████████| 36/36 [00:01<00:00, 49.03it/s]
+Epoch 435/1000: 100%|██████████| 36/36 [00:01<00:00, 33.24it/s]
+epoch: 434, beta = 0.004900, Train MSE: 0.000672, Train CE:0.000075, Train KL:1.081424, Val MSE:0.000709, Val CE:0.000026, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 436/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 436/1000:   3%|▎         | 1/36 [00:00<00:12,  2.83it/s]
+Epoch 436/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.01it/s]
+Epoch 436/1000:  31%|███       | 11/36 [00:00<00:00, 25.34it/s]
+Epoch 436/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.99it/s]
+Epoch 436/1000:  67%|██████▋   | 24/36 [00:00<00:00, 42.51it/s]
+Epoch 436/1000:  81%|████████  | 29/36 [00:00<00:00, 43.85it/s]
+Epoch 436/1000:  97%|█████████▋| 35/36 [00:01<00:00, 46.88it/s]
+Epoch 436/1000: 100%|██████████| 36/36 [00:01<00:00, 32.35it/s]
+epoch: 435, beta = 0.004900, Train MSE: 0.000840, Train CE:0.000001, Train KL:1.085268, Val MSE:0.000757, Val CE:0.000016, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 437/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 437/1000:   3%|▎         | 1/36 [00:00<00:12,  2.83it/s]
+Epoch 437/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.64it/s]
+Epoch 437/1000:  31%|███       | 11/36 [00:00<00:00, 25.07it/s]
+Epoch 437/1000:  50%|█████     | 18/36 [00:00<00:00, 36.35it/s]
+Epoch 437/1000:  67%|██████▋   | 24/36 [00:00<00:00, 41.83it/s]
+Epoch 437/1000:  83%|████████▎ | 30/36 [00:00<00:00, 44.87it/s]
+Epoch 437/1000: 100%|██████████| 36/36 [00:01<00:00, 47.84it/s]
+Epoch 437/1000: 100%|██████████| 36/36 [00:01<00:00, 31.79it/s]
+epoch: 436, beta = 0.004900, Train MSE: 0.000676, Train CE:0.000001, Train KL:1.095719, Val MSE:0.000670, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 438/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 438/1000:   3%|▎         | 1/36 [00:00<00:12,  2.72it/s]
+Epoch 438/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.44it/s]
+Epoch 438/1000:  31%|███       | 11/36 [00:00<00:01, 24.78it/s]
+Epoch 438/1000:  50%|█████     | 18/36 [00:00<00:00, 36.50it/s]
+Epoch 438/1000:  67%|██████▋   | 24/36 [00:00<00:00, 42.72it/s]
+Epoch 438/1000:  83%|████████▎ | 30/36 [00:00<00:00, 47.52it/s]
+Epoch 438/1000: 100%|██████████| 36/36 [00:01<00:00, 49.64it/s]
+Epoch 438/1000: 100%|██████████| 36/36 [00:01<00:00, 32.21it/s]
+epoch: 437, beta = 0.004900, Train MSE: 0.000666, Train CE:0.000003, Train KL:1.081931, Val MSE:0.000680, Val CE:0.000169, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 439/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 439/1000:   3%|▎         | 1/36 [00:00<00:11,  3.18it/s]
+Epoch 439/1000:  14%|█▍        | 5/36 [00:00<00:02, 14.65it/s]
+Epoch 439/1000:  28%|██▊       | 10/36 [00:00<00:01, 25.53it/s]
+Epoch 439/1000:  42%|████▏     | 15/36 [00:00<00:00, 32.56it/s]
+Epoch 439/1000:  61%|██████    | 22/36 [00:00<00:00, 41.45it/s]
+Epoch 439/1000:  81%|████████  | 29/36 [00:00<00:00, 48.91it/s]
+Epoch 439/1000:  97%|█████████▋| 35/36 [00:00<00:00, 48.09it/s]
+Epoch 439/1000: 100%|██████████| 36/36 [00:01<00:00, 32.53it/s]
+epoch: 438, beta = 0.004900, Train MSE: 0.000663, Train CE:0.000001, Train KL:1.079701, Val MSE:0.000664, Val CE:0.000007, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 440/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 440/1000:   3%|▎         | 1/36 [00:00<00:11,  2.92it/s]
+Epoch 440/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.90it/s]
+Epoch 440/1000:  33%|███▎      | 12/36 [00:00<00:00, 28.42it/s]
+Epoch 440/1000:  50%|█████     | 18/36 [00:00<00:00, 35.86it/s]
+Epoch 440/1000:  67%|██████▋   | 24/36 [00:00<00:00, 41.81it/s]
+Epoch 440/1000:  83%|████████▎ | 30/36 [00:00<00:00, 46.41it/s]
+Epoch 440/1000: 100%|██████████| 36/36 [00:01<00:00, 45.25it/s]
+Epoch 440/1000: 100%|██████████| 36/36 [00:01<00:00, 31.64it/s]
+epoch: 439, beta = 0.004900, Train MSE: 0.000664, Train CE:0.000042, Train KL:1.082080, Val MSE:0.000675, Val CE:0.000005, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 441/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 441/1000:   3%|▎         | 1/36 [00:00<00:13,  2.58it/s]
+Epoch 441/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.67it/s]
+Epoch 441/1000:  36%|███▌      | 13/36 [00:00<00:00, 29.24it/s]
+Epoch 441/1000:  53%|█████▎    | 19/36 [00:00<00:00, 36.31it/s]
+Epoch 441/1000:  69%|██████▉   | 25/36 [00:00<00:00, 42.81it/s]
+Epoch 441/1000:  86%|████████▌ | 31/36 [00:00<00:00, 47.00it/s]
+Epoch 441/1000: 100%|██████████| 36/36 [00:01<00:00, 32.88it/s]
+Learning rate updated: 0.00013527595427905584
+epoch: 440, beta = 0.004900, Train MSE: 0.000624, Train CE:0.000125, Train KL:1.095733, Val MSE:0.000688, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 442/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 442/1000:   3%|▎         | 1/36 [00:00<00:13,  2.60it/s]
+Epoch 442/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.11it/s]
+Epoch 442/1000:  31%|███       | 11/36 [00:00<00:01, 23.60it/s]
+Epoch 442/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.26it/s]
+Epoch 442/1000:  67%|██████▋   | 24/36 [00:00<00:00, 40.99it/s]
+Epoch 442/1000:  86%|████████▌ | 31/36 [00:00<00:00, 48.79it/s]
+Epoch 442/1000: 100%|██████████| 36/36 [00:01<00:00, 32.51it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 443/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 441, beta = 0.004900, Train MSE: 0.000728, Train CE:0.000001, Train KL:1.092669, Val MSE:0.000770, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 443/1000:   3%|▎         | 1/36 [00:00<00:11,  2.94it/s]
+Epoch 443/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.77it/s]
+Epoch 443/1000:  36%|███▌      | 13/36 [00:00<00:00, 29.78it/s]
+Epoch 443/1000:  56%|█████▌    | 20/36 [00:00<00:00, 37.93it/s]
+Epoch 443/1000:  69%|██████▉   | 25/36 [00:00<00:00, 38.35it/s]
+Epoch 443/1000:  83%|████████▎ | 30/36 [00:00<00:00, 39.31it/s]
+Epoch 443/1000: 100%|██████████| 36/36 [00:01<00:00, 42.73it/s]
+Epoch 443/1000: 100%|██████████| 36/36 [00:01<00:00, 31.79it/s]
+epoch: 442, beta = 0.004900, Train MSE: 0.000649, Train CE:0.000002, Train KL:1.130729, Val MSE:0.000607, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 444/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 444/1000:   3%|▎         | 1/36 [00:00<00:13,  2.51it/s]
+Epoch 444/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.37it/s]
+Epoch 444/1000:  28%|██▊       | 10/36 [00:00<00:01, 22.02it/s]
+Epoch 444/1000:  42%|████▏     | 15/36 [00:00<00:00, 29.53it/s]
+Epoch 444/1000:  56%|█████▌    | 20/36 [00:00<00:00, 33.82it/s]
+Epoch 444/1000:  69%|██████▉   | 25/36 [00:00<00:00, 35.86it/s]
+Epoch 444/1000:  83%|████████▎ | 30/36 [00:01<00:00, 37.51it/s]
+Epoch 444/1000:  97%|█████████▋| 35/36 [00:01<00:00, 40.40it/s]
+Epoch 444/1000: 100%|██████████| 36/36 [00:01<00:00, 28.21it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 445/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 443, beta = 0.004900, Train MSE: 0.000586, Train CE:0.000001, Train KL:1.112079, Val MSE:0.000648, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 445/1000:   3%|▎         | 1/36 [00:00<00:16,  2.12it/s]
+Epoch 445/1000:  17%|█▋        | 6/36 [00:00<00:02, 12.82it/s]
+Epoch 445/1000:  33%|███▎      | 12/36 [00:00<00:01, 23.63it/s]
+Epoch 445/1000:  47%|████▋     | 17/36 [00:00<00:00, 30.06it/s]
+Epoch 445/1000:  67%|██████▋   | 24/36 [00:00<00:00, 39.10it/s]
+Epoch 445/1000:  81%|████████  | 29/36 [00:01<00:00, 38.77it/s]
+Epoch 445/1000:  94%|█████████▍| 34/36 [00:01<00:00, 37.03it/s]
+Epoch 445/1000: 100%|██████████| 36/36 [00:01<00:00, 26.97it/s]
+epoch: 444, beta = 0.004900, Train MSE: 0.000657, Train CE:0.000002, Train KL:1.099920, Val MSE:0.000597, Val CE:0.000143, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 446/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 446/1000:   3%|▎         | 1/36 [00:00<00:13,  2.64it/s]
+Epoch 446/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.84it/s]
+Epoch 446/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.65it/s]
+Epoch 446/1000:  50%|█████     | 18/36 [00:00<00:00, 33.53it/s]
+Epoch 446/1000:  69%|██████▉   | 25/36 [00:00<00:00, 41.59it/s]
+Epoch 446/1000:  86%|████████▌ | 31/36 [00:00<00:00, 46.44it/s]
+Epoch 446/1000: 100%|██████████| 36/36 [00:01<00:00, 33.43it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 447/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 445, beta = 0.004900, Train MSE: 0.000611, Train CE:0.000003, Train KL:1.092898, Val MSE:0.000670, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 447/1000:   3%|▎         | 1/36 [00:00<00:14,  2.46it/s]
+Epoch 447/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.10it/s]
+Epoch 447/1000:  31%|███       | 11/36 [00:00<00:01, 23.02it/s]
+Epoch 447/1000:  44%|████▍     | 16/36 [00:00<00:00, 29.77it/s]
+Epoch 447/1000:  58%|█████▊    | 21/36 [00:00<00:00, 34.80it/s]
+Epoch 447/1000:  75%|███████▌  | 27/36 [00:00<00:00, 41.01it/s]
+Epoch 447/1000:  97%|█████████▋| 35/36 [00:01<00:00, 50.11it/s]
+Epoch 447/1000: 100%|██████████| 36/36 [00:01<00:00, 31.36it/s]
+epoch: 446, beta = 0.004900, Train MSE: 0.000637, Train CE:0.000026, Train KL:1.082820, Val MSE:0.000689, Val CE:0.000113, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 448/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 448/1000:   3%|▎         | 1/36 [00:00<00:10,  3.33it/s]
+Epoch 448/1000:  17%|█▋        | 6/36 [00:00<00:01, 18.25it/s]
+Epoch 448/1000:  31%|███       | 11/36 [00:00<00:00, 27.47it/s]
+Epoch 448/1000:  44%|████▍     | 16/36 [00:00<00:00, 32.67it/s]
+Epoch 448/1000:  56%|█████▌    | 20/36 [00:00<00:00, 33.88it/s]
+Epoch 448/1000:  69%|██████▉   | 25/36 [00:00<00:00, 37.98it/s]
+Epoch 448/1000:  86%|████████▌ | 31/36 [00:00<00:00, 43.72it/s]
+Epoch 448/1000: 100%|██████████| 36/36 [00:01<00:00, 32.78it/s]
+epoch: 447, beta = 0.004900, Train MSE: 0.000668, Train CE:0.000001, Train KL:1.086410, Val MSE:0.000617, Val CE:0.000430, Train ACC:1.000000, Val ACC:0.999916
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 449/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 449/1000:   3%|▎         | 1/36 [00:00<00:12,  2.73it/s]
+Epoch 449/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.36it/s]
+Epoch 449/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.28it/s]
+Epoch 449/1000:  50%|█████     | 18/36 [00:00<00:00, 32.28it/s]
+Epoch 449/1000:  64%|██████▍   | 23/36 [00:00<00:00, 34.46it/s]
+Epoch 449/1000:  78%|███████▊  | 28/36 [00:00<00:00, 38.13it/s]
+Epoch 449/1000: 100%|██████████| 36/36 [00:01<00:00, 47.00it/s]
+Epoch 449/1000: 100%|██████████| 36/36 [00:01<00:00, 30.80it/s]
+epoch: 448, beta = 0.004900, Train MSE: 0.000662, Train CE:0.000002, Train KL:1.079212, Val MSE:0.000653, Val CE:0.000111, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 450/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 450/1000:   3%|▎         | 1/36 [00:00<00:12,  2.75it/s]
+Epoch 450/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.41it/s]
+Epoch 450/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.67it/s]
+Epoch 450/1000:  50%|█████     | 18/36 [00:00<00:00, 34.19it/s]
+Epoch 450/1000:  64%|██████▍   | 23/36 [00:00<00:00, 34.75it/s]
+Epoch 450/1000:  78%|███████▊  | 28/36 [00:00<00:00, 38.61it/s]
+Epoch 450/1000:  92%|█████████▏| 33/36 [00:01<00:00, 40.93it/s]
+Epoch 450/1000: 100%|██████████| 36/36 [00:01<00:00, 31.30it/s]
+epoch: 449, beta = 0.004900, Train MSE: 0.000775, Train CE:0.000003, Train KL:1.070239, Val MSE:0.000709, Val CE:0.000006, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 451/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 451/1000:   3%|▎         | 1/36 [00:00<00:11,  3.10it/s]
+Epoch 451/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.12it/s]
+Epoch 451/1000:  33%|███▎      | 12/36 [00:00<00:00, 28.79it/s]
+Epoch 451/1000:  50%|█████     | 18/36 [00:00<00:00, 36.82it/s]
+Epoch 451/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.24it/s]
+Epoch 451/1000:  78%|███████▊  | 28/36 [00:00<00:00, 40.77it/s]
+Epoch 451/1000:  94%|█████████▍| 34/36 [00:00<00:00, 44.30it/s]
+Epoch 451/1000: 100%|██████████| 36/36 [00:01<00:00, 33.07it/s]
+epoch: 450, beta = 0.004900, Train MSE: 0.000679, Train CE:0.000102, Train KL:1.071022, Val MSE:0.000722, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 452/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 452/1000:   3%|▎         | 1/36 [00:00<00:12,  2.90it/s]
+Epoch 452/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.00it/s]
+Epoch 452/1000:  31%|███       | 11/36 [00:00<00:00, 25.58it/s]
+Epoch 452/1000:  44%|████▍     | 16/36 [00:00<00:00, 32.59it/s]
+Epoch 452/1000:  58%|█████▊    | 21/36 [00:00<00:00, 36.42it/s]
+Epoch 452/1000:  72%|███████▏  | 26/36 [00:00<00:00, 39.18it/s]
+Epoch 452/1000:  86%|████████▌ | 31/36 [00:01<00:00, 39.26it/s]
+Epoch 452/1000: 100%|██████████| 36/36 [00:01<00:00, 31.27it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]Learning rate updated: 0.00012851215656510304
+epoch: 451, beta = 0.004900, Train MSE: 0.000664, Train CE:0.000007, Train KL:1.093090, Val MSE:0.000675, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 453/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 453/1000:   3%|▎         | 1/36 [00:00<00:14,  2.50it/s]
+Epoch 453/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.84it/s]
+Epoch 453/1000:  31%|███       | 11/36 [00:00<00:01, 23.19it/s]
+Epoch 453/1000:  44%|████▍     | 16/36 [00:00<00:00, 29.38it/s]
+Epoch 453/1000:  56%|█████▌    | 20/36 [00:00<00:00, 32.21it/s]
+Epoch 453/1000:  69%|██████▉   | 25/36 [00:00<00:00, 37.04it/s]
+Epoch 453/1000:  83%|████████▎ | 30/36 [00:01<00:00, 38.88it/s]
+Epoch 453/1000: 100%|██████████| 36/36 [00:01<00:00, 44.48it/s]
+Epoch 453/1000: 100%|██████████| 36/36 [00:01<00:00, 29.62it/s]
+epoch: 452, beta = 0.004900, Train MSE: 0.000727, Train CE:0.000001, Train KL:1.087445, Val MSE:0.000623, Val CE:0.000085, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 454/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 454/1000:   3%|▎         | 1/36 [00:00<00:12,  2.82it/s]
+Epoch 454/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.05it/s]
+Epoch 454/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.99it/s]
+Epoch 454/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.59it/s]
+Epoch 454/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.94it/s]
+Epoch 454/1000:  75%|███████▌  | 27/36 [00:00<00:00, 40.31it/s]
+Epoch 454/1000:  92%|█████████▏| 33/36 [00:01<00:00, 44.73it/s]
+Epoch 454/1000: 100%|██████████| 36/36 [00:01<00:00, 31.03it/s]
+epoch: 453, beta = 0.004900, Train MSE: 0.000654, Train CE:0.000002, Train KL:1.082597, Val MSE:0.000666, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 455/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 455/1000:   3%|▎         | 1/36 [00:00<00:12,  2.81it/s]
+Epoch 455/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.10it/s]
+Epoch 455/1000:  25%|██▌       | 9/36 [00:00<00:01, 20.39it/s]
+Epoch 455/1000:  42%|████▏     | 15/36 [00:00<00:00, 30.86it/s]
+Epoch 455/1000:  56%|█████▌    | 20/36 [00:00<00:00, 36.00it/s]
+Epoch 455/1000:  69%|██████▉   | 25/36 [00:00<00:00, 40.00it/s]
+Epoch 455/1000:  83%|████████▎ | 30/36 [00:00<00:00, 42.75it/s]
+Epoch 455/1000: 100%|██████████| 36/36 [00:01<00:00, 31.36it/s]
+epoch: 454, beta = 0.004900, Train MSE: 0.000678, Train CE:0.000065, Train KL:1.079055, Val MSE:0.000723, Val CE:0.000005, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 456/1000:   0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 456/1000:  25%|██▌       | 9/36 [00:00<00:01, 19.50it/s]
+Epoch 456/1000:  39%|███▉      | 14/36 [00:00<00:00, 26.60it/s]
+Epoch 456/1000:  58%|█████▊    | 21/36 [00:00<00:00, 37.35it/s]
+Epoch 456/1000:  78%|███████▊  | 28/36 [00:00<00:00, 44.19it/s]
+Epoch 456/1000:  97%|█████████▋| 35/36 [00:01<00:00, 48.22it/s]
+Epoch 456/1000: 100%|██████████| 36/36 [00:01<00:00, 30.33it/s]
+epoch: 455, beta = 0.004900, Train MSE: 0.000680, Train CE:0.000004, Train KL:1.075273, Val MSE:0.000642, Val CE:0.000011, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 457/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 457/1000:   3%|▎         | 1/36 [00:00<00:12,  2.90it/s]
+Epoch 457/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.90it/s]
+Epoch 457/1000:  25%|██▌       | 9/36 [00:00<00:01, 19.53it/s]
+Epoch 457/1000:  39%|███▉      | 14/36 [00:00<00:00, 26.87it/s]
+Epoch 457/1000:  56%|█████▌    | 20/36 [00:00<00:00, 35.22it/s]
+Epoch 457/1000:  72%|███████▏  | 26/36 [00:00<00:00, 40.92it/s]
+Epoch 457/1000:  89%|████████▉ | 32/36 [00:01<00:00, 45.14it/s]
+Epoch 457/1000: 100%|██████████| 36/36 [00:01<00:00, 31.23it/s]
+epoch: 456, beta = 0.004900, Train MSE: 0.000624, Train CE:0.000018, Train KL:1.083748, Val MSE:0.000675, Val CE:0.000013, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 458/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 458/1000:   3%|▎         | 1/36 [00:00<00:14,  2.39it/s]
+Epoch 458/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.77it/s]
+Epoch 458/1000:  31%|███       | 11/36 [00:00<00:01, 22.12it/s]
+Epoch 458/1000:  47%|████▋     | 17/36 [00:00<00:00, 30.84it/s]
+Epoch 458/1000:  64%|██████▍   | 23/36 [00:00<00:00, 37.08it/s]
+Epoch 458/1000:  83%|████████▎ | 30/36 [00:00<00:00, 44.44it/s]
+Epoch 458/1000: 100%|██████████| 36/36 [00:01<00:00, 31.46it/s]
+epoch: 457, beta = 0.004900, Train MSE: 0.000669, Train CE:0.000063, Train KL:1.077632, Val MSE:0.000668, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 459/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 459/1000:   3%|▎         | 1/36 [00:00<00:13,  2.54it/s]
+Epoch 459/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.80it/s]
+Epoch 459/1000:  31%|███       | 11/36 [00:00<00:01, 23.85it/s]
+Epoch 459/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.86it/s]
+Epoch 459/1000:  58%|█████▊    | 21/36 [00:00<00:00, 34.84it/s]
+Epoch 459/1000:  78%|███████▊  | 28/36 [00:00<00:00, 43.30it/s]
+Epoch 459/1000:  97%|█████████▋| 35/36 [00:01<00:00, 48.57it/s]
+Epoch 459/1000: 100%|██████████| 36/36 [00:01<00:00, 31.28it/s]
+epoch: 458, beta = 0.004900, Train MSE: 0.000602, Train CE:0.000003, Train KL:1.100045, Val MSE:0.000690, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 460/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 460/1000:   3%|▎         | 1/36 [00:00<00:11,  3.16it/s]
+Epoch 460/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.20it/s]
+Epoch 460/1000:  33%|███▎      | 12/36 [00:00<00:00, 29.36it/s]
+Epoch 460/1000:  47%|████▋     | 17/36 [00:00<00:00, 34.71it/s]
+Epoch 460/1000:  61%|██████    | 22/36 [00:00<00:00, 37.27it/s]
+Epoch 460/1000:  75%|███████▌  | 27/36 [00:00<00:00, 38.73it/s]
+Epoch 460/1000:  89%|████████▉ | 32/36 [00:00<00:00, 41.20it/s]
+Epoch 460/1000: 100%|██████████| 36/36 [00:01<00:00, 31.78it/s]
+epoch: 459, beta = 0.004900, Train MSE: 0.000634, Train CE:0.000003, Train KL:1.084683, Val MSE:0.000735, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 461/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 461/1000:   3%|▎         | 1/36 [00:00<00:14,  2.40it/s]
+Epoch 461/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.98it/s]
+Epoch 461/1000:  31%|███       | 11/36 [00:00<00:01, 23.25it/s]
+Epoch 461/1000:  44%|████▍     | 16/36 [00:00<00:00, 28.99it/s]
+Epoch 461/1000:  56%|█████▌    | 20/36 [00:00<00:00, 31.04it/s]
+Epoch 461/1000:  67%|██████▋   | 24/36 [00:00<00:00, 33.38it/s]
+Epoch 461/1000:  81%|████████  | 29/36 [00:01<00:00, 37.14it/s]
+Epoch 461/1000:  97%|█████████▋| 35/36 [00:01<00:00, 41.53it/s]
+Epoch 461/1000: 100%|██████████| 36/36 [00:01<00:00, 27.84it/s]
+epoch: 460, beta = 0.004900, Train MSE: 0.000740, Train CE:0.000001, Train KL:1.077926, Val MSE:0.000670, Val CE:0.000007, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 462/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 462/1000:   3%|▎         | 1/36 [00:00<00:14,  2.41it/s]
+Epoch 462/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.69it/s]
+Epoch 462/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.01it/s]
+Epoch 462/1000:  42%|████▏     | 15/36 [00:00<00:00, 27.57it/s]
+Epoch 462/1000:  53%|█████▎    | 19/36 [00:00<00:00, 29.40it/s]
+Epoch 462/1000:  67%|██████▋   | 24/36 [00:00<00:00, 34.16it/s]
+Epoch 462/1000:  81%|████████  | 29/36 [00:01<00:00, 36.91it/s]
+Epoch 462/1000:  94%|█████████▍| 34/36 [00:01<00:00, 39.26it/s]
+Epoch 462/1000: 100%|██████████| 36/36 [00:01<00:00, 26.85it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 463/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 461, beta = 0.004900, Train MSE: 0.000672, Train CE:0.000001, Train KL:1.069610, Val MSE:0.000846, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 463/1000:   3%|▎         | 1/36 [00:00<00:14,  2.46it/s]
+Epoch 463/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.57it/s]
+Epoch 463/1000:  31%|███       | 11/36 [00:00<00:01, 22.96it/s]
+Epoch 463/1000:  44%|████▍     | 16/36 [00:00<00:00, 28.77it/s]
+Epoch 463/1000:  56%|█████▌    | 20/36 [00:00<00:00, 31.15it/s]
+Epoch 463/1000:  72%|███████▏  | 26/36 [00:00<00:00, 37.40it/s]
+Epoch 463/1000:  89%|████████▉ | 32/36 [00:01<00:00, 41.53it/s]
+Epoch 463/1000: 100%|██████████| 36/36 [00:01<00:00, 28.69it/s]
+Learning rate updated: 0.00012208654873684788
+epoch: 462, beta = 0.004900, Train MSE: 0.000763, Train CE:0.000009, Train KL:1.068305, Val MSE:0.000840, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 464/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 464/1000:   3%|▎         | 1/36 [00:00<00:11,  2.93it/s]
+Epoch 464/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.55it/s]
+Epoch 464/1000:  28%|██▊       | 10/36 [00:00<00:01, 23.55it/s]
+Epoch 464/1000:  42%|████▏     | 15/36 [00:00<00:00, 30.46it/s]
+Epoch 464/1000:  58%|█████▊    | 21/36 [00:00<00:00, 37.82it/s]
+Epoch 464/1000:  78%|███████▊  | 28/36 [00:00<00:00, 45.47it/s]
+Epoch 464/1000:  97%|█████████▋| 35/36 [00:01<00:00, 50.25it/s]
+Epoch 464/1000: 100%|██████████| 36/36 [00:01<00:00, 32.72it/s]
+epoch: 463, beta = 0.004900, Train MSE: 0.000707, Train CE:0.000003, Train KL:1.069370, Val MSE:0.000674, Val CE:0.000270, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 465/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 465/1000:   3%|▎         | 1/36 [00:00<00:12,  2.82it/s]
+Epoch 465/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.96it/s]
+Epoch 465/1000:  31%|███       | 11/36 [00:00<00:01, 23.94it/s]
+Epoch 465/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.43it/s]
+Epoch 465/1000:  61%|██████    | 22/36 [00:00<00:00, 36.98it/s]
+Epoch 465/1000:  81%|████████  | 29/36 [00:00<00:00, 43.88it/s]
+Epoch 465/1000:  97%|█████████▋| 35/36 [00:01<00:00, 48.27it/s]
+Epoch 465/1000: 100%|██████████| 36/36 [00:01<00:00, 31.09it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 466/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 464, beta = 0.004900, Train MSE: 0.000657, Train CE:0.000002, Train KL:1.067435, Val MSE:0.000677, Val CE:0.000008, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 466/1000:   3%|▎         | 1/36 [00:00<00:16,  2.12it/s]
+Epoch 466/1000:  17%|█▋        | 6/36 [00:00<00:02, 12.47it/s]
+Epoch 466/1000:  31%|███       | 11/36 [00:00<00:01, 20.56it/s]
+Epoch 466/1000:  47%|████▋     | 17/36 [00:00<00:00, 29.81it/s]
+Epoch 466/1000:  64%|██████▍   | 23/36 [00:00<00:00, 37.57it/s]
+Epoch 466/1000:  81%|████████  | 29/36 [00:01<00:00, 43.43it/s]
+Epoch 466/1000: 100%|██████████| 36/36 [00:01<00:00, 48.66it/s]
+Epoch 466/1000: 100%|██████████| 36/36 [00:01<00:00, 29.56it/s]
+epoch: 465, beta = 0.004900, Train MSE: 0.000698, Train CE:0.000171, Train KL:1.069259, Val MSE:0.000654, Val CE:0.000012, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 467/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 467/1000:   3%|▎         | 1/36 [00:00<00:12,  2.74it/s]
+Epoch 467/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.14it/s]
+Epoch 467/1000:  28%|██▊       | 10/36 [00:00<00:01, 20.86it/s]
+Epoch 467/1000:  42%|████▏     | 15/36 [00:00<00:00, 27.50it/s]
+Epoch 467/1000:  56%|█████▌    | 20/36 [00:00<00:00, 32.39it/s]
+Epoch 467/1000:  69%|██████▉   | 25/36 [00:00<00:00, 36.86it/s]
+Epoch 467/1000:  86%|████████▌ | 31/36 [00:01<00:00, 41.66it/s]
+Epoch 467/1000: 100%|██████████| 36/36 [00:01<00:00, 30.05it/s]
+epoch: 466, beta = 0.004900, Train MSE: 0.000649, Train CE:0.000011, Train KL:1.082211, Val MSE:0.000715, Val CE:0.000023, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 468/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 468/1000:   3%|▎         | 1/36 [00:00<00:13,  2.53it/s]
+Epoch 468/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.31it/s]
+Epoch 468/1000:  28%|██▊       | 10/36 [00:00<00:01, 20.32it/s]
+Epoch 468/1000:  39%|███▉      | 14/36 [00:00<00:00, 24.50it/s]
+Epoch 468/1000:  53%|█████▎    | 19/36 [00:00<00:00, 30.40it/s]
+Epoch 468/1000:  67%|██████▋   | 24/36 [00:00<00:00, 35.60it/s]
+Epoch 468/1000:  83%|████████▎ | 30/36 [00:01<00:00, 42.12it/s]
+Epoch 468/1000:  97%|█████████▋| 35/36 [00:01<00:00, 44.20it/s]
+Epoch 468/1000: 100%|██████████| 36/36 [00:01<00:00, 28.05it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 469/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 467, beta = 0.004900, Train MSE: 0.000648, Train CE:0.000001, Train KL:1.070666, Val MSE:0.000773, Val CE:0.000585, Train ACC:1.000000, Val ACC:0.999944
+
+Epoch 469/1000:   3%|▎         | 1/36 [00:00<00:11,  2.98it/s]
+Epoch 469/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.31it/s]
+Epoch 469/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.67it/s]
+Epoch 469/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.08it/s]
+Epoch 469/1000:  61%|██████    | 22/36 [00:00<00:00, 36.35it/s]
+Epoch 469/1000:  75%|███████▌  | 27/36 [00:00<00:00, 38.08it/s]
+Epoch 469/1000:  94%|█████████▍| 34/36 [00:01<00:00, 45.78it/s]
+Epoch 469/1000: 100%|██████████| 36/36 [00:01<00:00, 31.17it/s]
+epoch: 468, beta = 0.004900, Train MSE: 0.000676, Train CE:0.000001, Train KL:1.065779, Val MSE:0.000666, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 470/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 470/1000:   3%|▎         | 1/36 [00:00<00:14,  2.36it/s]
+Epoch 470/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.54it/s]
+Epoch 470/1000:  33%|███▎      | 12/36 [00:00<00:01, 23.80it/s]
+Epoch 470/1000:  44%|████▍     | 16/36 [00:00<00:00, 27.60it/s]
+Epoch 470/1000:  58%|█████▊    | 21/36 [00:00<00:00, 32.86it/s]
+Epoch 470/1000:  72%|███████▏  | 26/36 [00:00<00:00, 37.14it/s]
+Epoch 470/1000:  89%|████████▉ | 32/36 [00:01<00:00, 43.40it/s]
+Epoch 470/1000: 100%|██████████| 36/36 [00:01<00:00, 30.13it/s]
+epoch: 469, beta = 0.004900, Train MSE: 0.000690, Train CE:0.000013, Train KL:1.071351, Val MSE:0.000635, Val CE:0.000039, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 471/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 471/1000:   3%|▎         | 1/36 [00:00<00:14,  2.37it/s]
+Epoch 471/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.25it/s]
+Epoch 471/1000:  31%|███       | 11/36 [00:00<00:01, 23.59it/s]
+Epoch 471/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.67it/s]
+Epoch 471/1000:  58%|█████▊    | 21/36 [00:00<00:00, 33.61it/s]
+Epoch 471/1000:  72%|███████▏  | 26/36 [00:00<00:00, 37.11it/s]
+Epoch 471/1000:  89%|████████▉ | 32/36 [00:01<00:00, 42.31it/s]
+Epoch 471/1000: 100%|██████████| 36/36 [00:01<00:00, 29.82it/s]
+epoch: 470, beta = 0.004900, Train MSE: 0.000704, Train CE:0.000019, Train KL:1.073148, Val MSE:0.000690, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 472/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 472/1000:   3%|▎         | 1/36 [00:00<00:11,  2.93it/s]
+Epoch 472/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.98it/s]
+Epoch 472/1000:  36%|███▌      | 13/36 [00:00<00:00, 29.49it/s]
+Epoch 472/1000:  53%|█████▎    | 19/36 [00:00<00:00, 36.27it/s]
+Epoch 472/1000:  67%|██████▋   | 24/36 [00:00<00:00, 37.21it/s]
+Epoch 472/1000:  81%|████████  | 29/36 [00:00<00:00, 39.37it/s]
+Epoch 472/1000:  97%|█████████▋| 35/36 [00:01<00:00, 44.50it/s]
+Epoch 472/1000: 100%|██████████| 36/36 [00:01<00:00, 31.19it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 473/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 471, beta = 0.004900, Train MSE: 0.000688, Train CE:0.000002, Train KL:1.084140, Val MSE:0.000770, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 473/1000:   3%|▎         | 1/36 [00:00<00:11,  2.95it/s]
+Epoch 473/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.46it/s]
+Epoch 473/1000:  31%|███       | 11/36 [00:00<00:00, 25.57it/s]
+Epoch 473/1000:  44%|████▍     | 16/36 [00:00<00:00, 31.01it/s]
+Epoch 473/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.54it/s]
+Epoch 473/1000:  72%|███████▏  | 26/36 [00:00<00:00, 37.14it/s]
+Epoch 473/1000:  86%|████████▌ | 31/36 [00:01<00:00, 40.15it/s]
+Epoch 473/1000: 100%|██████████| 36/36 [00:01<00:00, 30.01it/s]
+epoch: 472, beta = 0.004900, Train MSE: 0.000643, Train CE:0.000006, Train KL:1.069772, Val MSE:0.000758, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 474/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 474/1000:   3%|▎         | 1/36 [00:00<00:12,  2.89it/s]
+Epoch 474/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.92it/s]
+Epoch 474/1000:  31%|███       | 11/36 [00:00<00:00, 25.30it/s]
+Epoch 474/1000:  44%|████▍     | 16/36 [00:00<00:00, 31.34it/s]
+Epoch 474/1000:  61%|██████    | 22/36 [00:00<00:00, 38.00it/s]
+Epoch 474/1000:  75%|███████▌  | 27/36 [00:00<00:00, 40.61it/s]
+Epoch 474/1000:  94%|█████████▍| 34/36 [00:01<00:00, 47.41it/s]
+Epoch 474/1000: 100%|██████████| 36/36 [00:01<00:00, 33.03it/s]
+Learning rate updated: 0.00011598222130000548
+epoch: 473, beta = 0.004900, Train MSE: 0.000705, Train CE:0.000012, Train KL:1.083395, Val MSE:0.000627, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 475/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 475/1000:   3%|▎         | 1/36 [00:00<00:12,  2.72it/s]
+Epoch 475/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.71it/s]
+Epoch 475/1000:  31%|███       | 11/36 [00:00<00:00, 25.35it/s]
+Epoch 475/1000:  42%|████▏     | 15/36 [00:00<00:00, 29.51it/s]
+Epoch 475/1000:  58%|█████▊    | 21/36 [00:00<00:00, 36.71it/s]
+Epoch 475/1000:  72%|███████▏  | 26/36 [00:00<00:00, 37.60it/s]
+Epoch 475/1000:  89%|████████▉ | 32/36 [00:01<00:00, 42.01it/s]
+Epoch 475/1000: 100%|██████████| 36/36 [00:01<00:00, 31.07it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 476/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 474, beta = 0.004900, Train MSE: 0.000618, Train CE:0.000009, Train KL:1.082909, Val MSE:0.000629, Val CE:0.000300, Train ACC:1.000000, Val ACC:0.999972
+
+Epoch 476/1000:   3%|▎         | 1/36 [00:00<00:14,  2.49it/s]
+Epoch 476/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.89it/s]
+Epoch 476/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.73it/s]
+Epoch 476/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.23it/s]
+Epoch 476/1000:  64%|██████▍   | 23/36 [00:00<00:00, 38.82it/s]
+Epoch 476/1000:  78%|███████▊  | 28/36 [00:00<00:00, 40.27it/s]
+Epoch 476/1000:  94%|█████████▍| 34/36 [00:01<00:00, 45.25it/s]
+Epoch 476/1000: 100%|██████████| 36/36 [00:01<00:00, 30.06it/s]
+epoch: 475, beta = 0.004900, Train MSE: 0.000652, Train CE:0.000001, Train KL:1.080793, Val MSE:0.000621, Val CE:0.000007, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 477/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 477/1000:   3%|▎         | 1/36 [00:00<00:15,  2.29it/s]
+Epoch 477/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.41it/s]
+Epoch 477/1000:  31%|███       | 11/36 [00:00<00:01, 21.46it/s]
+Epoch 477/1000:  44%|████▍     | 16/36 [00:00<00:00, 28.29it/s]
+Epoch 477/1000:  58%|█████▊    | 21/36 [00:00<00:00, 33.29it/s]
+Epoch 477/1000:  72%|███████▏  | 26/36 [00:01<00:00, 35.36it/s]
+Epoch 477/1000:  86%|████████▌ | 31/36 [00:01<00:00, 37.32it/s]
+Epoch 477/1000: 100%|██████████| 36/36 [00:01<00:00, 40.16it/s]
+Epoch 477/1000: 100%|██████████| 36/36 [00:01<00:00, 27.10it/s]
+epoch: 476, beta = 0.004900, Train MSE: 0.000645, Train CE:0.000124, Train KL:1.098652, Val MSE:0.000598, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 478/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 478/1000:   3%|▎         | 1/36 [00:00<00:14,  2.48it/s]
+Epoch 478/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.29it/s]
+Epoch 478/1000:  31%|███       | 11/36 [00:00<00:01, 22.12it/s]
+Epoch 478/1000:  42%|████▏     | 15/36 [00:00<00:00, 26.04it/s]
+Epoch 478/1000:  56%|█████▌    | 20/36 [00:00<00:00, 30.67it/s]
+Epoch 478/1000:  69%|██████▉   | 25/36 [00:00<00:00, 35.35it/s]
+Epoch 478/1000:  83%|████████▎ | 30/36 [00:01<00:00, 38.73it/s]
+Epoch 478/1000: 100%|██████████| 36/36 [00:01<00:00, 44.38it/s]
+Epoch 478/1000: 100%|██████████| 36/36 [00:01<00:00, 28.27it/s]
+epoch: 477, beta = 0.004900, Train MSE: 0.000602, Train CE:0.000001, Train KL:1.096753, Val MSE:0.000745, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 479/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 479/1000:   3%|▎         | 1/36 [00:00<00:16,  2.18it/s]
+Epoch 479/1000:  14%|█▍        | 5/36 [00:00<00:02, 10.91it/s]
+Epoch 479/1000:  25%|██▌       | 9/36 [00:00<00:01, 17.80it/s]
+Epoch 479/1000:  36%|███▌      | 13/36 [00:00<00:00, 23.54it/s]
+Epoch 479/1000:  47%|████▋     | 17/36 [00:00<00:00, 27.31it/s]
+Epoch 479/1000:  61%|██████    | 22/36 [00:00<00:00, 32.56it/s]
+Epoch 479/1000:  78%|███████▊  | 28/36 [00:01<00:00, 39.11it/s]
+Epoch 479/1000:  94%|█████████▍| 34/36 [00:01<00:00, 44.36it/s]
+Epoch 479/1000: 100%|██████████| 36/36 [00:01<00:00, 27.04it/s]
+epoch: 478, beta = 0.004900, Train MSE: 0.000646, Train CE:0.000001, Train KL:1.079615, Val MSE:0.000637, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 480/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 480/1000:   3%|▎         | 1/36 [00:00<00:14,  2.44it/s]
+Epoch 480/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.01it/s]
+Epoch 480/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.32it/s]
+Epoch 480/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.33it/s]
+Epoch 480/1000:  64%|██████▍   | 23/36 [00:00<00:00, 38.79it/s]
+Epoch 480/1000:  81%|████████  | 29/36 [00:00<00:00, 43.62it/s]
+Epoch 480/1000:  97%|█████████▋| 35/36 [00:01<00:00, 46.90it/s]
+Epoch 480/1000: 100%|██████████| 36/36 [00:01<00:00, 30.43it/s]
+epoch: 479, beta = 0.004900, Train MSE: 0.000702, Train CE:0.000002, Train KL:1.068484, Val MSE:0.000665, Val CE:0.000142, Train ACC:1.000000, Val ACC:0.999944
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 481/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 481/1000:   3%|▎         | 1/36 [00:00<00:11,  3.02it/s]
+Epoch 481/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.21it/s]
+Epoch 481/1000:  31%|███       | 11/36 [00:00<00:00, 25.93it/s]
+Epoch 481/1000:  44%|████▍     | 16/36 [00:00<00:00, 32.90it/s]
+Epoch 481/1000:  61%|██████    | 22/36 [00:00<00:00, 39.19it/s]
+Epoch 481/1000:  81%|████████  | 29/36 [00:00<00:00, 46.64it/s]
+Epoch 481/1000:  97%|█████████▋| 35/36 [00:00<00:00, 49.46it/s]
+Epoch 481/1000: 100%|██████████| 36/36 [00:01<00:00, 33.91it/s]
+epoch: 480, beta = 0.004900, Train MSE: 0.000648, Train CE:0.000003, Train KL:1.069879, Val MSE:0.000728, Val CE:0.000011, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 482/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 482/1000:   3%|▎         | 1/36 [00:00<00:13,  2.62it/s]
+Epoch 482/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.39it/s]
+Epoch 482/1000:  31%|███       | 11/36 [00:00<00:01, 24.38it/s]
+Epoch 482/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.46it/s]
+Epoch 482/1000:  61%|██████    | 22/36 [00:00<00:00, 38.28it/s]
+Epoch 482/1000:  81%|████████  | 29/36 [00:00<00:00, 46.27it/s]
+Epoch 482/1000:  97%|█████████▋| 35/36 [00:01<00:00, 49.46it/s]
+Epoch 482/1000: 100%|██████████| 36/36 [00:01<00:00, 31.66it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 483/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 481, beta = 0.004900, Train MSE: 0.000768, Train CE:0.000011, Train KL:1.072980, Val MSE:0.000629, Val CE:0.000013, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 483/1000:   3%|▎         | 1/36 [00:00<00:12,  2.79it/s]
+Epoch 483/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.49it/s]
+Epoch 483/1000:  31%|███       | 11/36 [00:00<00:00, 25.03it/s]
+Epoch 483/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.54it/s]
+Epoch 483/1000:  67%|██████▋   | 24/36 [00:00<00:00, 42.50it/s]
+Epoch 483/1000:  86%|████████▌ | 31/36 [00:00<00:00, 48.68it/s]
+Epoch 483/1000: 100%|██████████| 36/36 [00:01<00:00, 33.89it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 484/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 482, beta = 0.004900, Train MSE: 0.000604, Train CE:0.000008, Train KL:1.085058, Val MSE:0.000679, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 484/1000:   3%|▎         | 1/36 [00:00<00:14,  2.40it/s]
+Epoch 484/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.80it/s]
+Epoch 484/1000:  31%|███       | 11/36 [00:00<00:01, 24.01it/s]
+Epoch 484/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.56it/s]
+Epoch 484/1000:  67%|██████▋   | 24/36 [00:00<00:00, 41.82it/s]
+Epoch 484/1000:  83%|████████▎ | 30/36 [00:00<00:00, 46.12it/s]
+Epoch 484/1000: 100%|██████████| 36/36 [00:01<00:00, 48.45it/s]
+Epoch 484/1000: 100%|██████████| 36/36 [00:01<00:00, 30.73it/s]
+epoch: 483, beta = 0.004900, Train MSE: 0.000668, Train CE:0.000001, Train KL:1.074533, Val MSE:0.000682, Val CE:0.000006, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 485/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 485/1000:   3%|▎         | 1/36 [00:00<00:13,  2.62it/s]
+Epoch 485/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.30it/s]
+Epoch 485/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.75it/s]
+Epoch 485/1000:  50%|█████     | 18/36 [00:00<00:00, 35.11it/s]
+Epoch 485/1000:  69%|██████▉   | 25/36 [00:00<00:00, 42.86it/s]
+Epoch 485/1000:  86%|████████▌ | 31/36 [00:00<00:00, 46.07it/s]
+Epoch 485/1000: 100%|██████████| 36/36 [00:01<00:00, 31.18it/s]
+Learning rate updated: 0.00011018311023500519
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 486/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+epoch: 484, beta = 0.004900, Train MSE: 0.000663, Train CE:0.000002, Train KL:1.073010, Val MSE:0.000625, Val CE:0.000030, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 486/1000:   3%|▎         | 1/36 [00:00<00:13,  2.57it/s]
+Epoch 486/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.41it/s]
+Epoch 486/1000:  36%|███▌      | 13/36 [00:00<00:00, 27.50it/s]
+Epoch 486/1000:  53%|█████▎    | 19/36 [00:00<00:00, 35.87it/s]
+Epoch 486/1000:  69%|██████▉   | 25/36 [00:00<00:00, 41.93it/s]
+Epoch 486/1000:  86%|████████▌ | 31/36 [00:00<00:00, 46.27it/s]
+Epoch 486/1000: 100%|██████████| 36/36 [00:01<00:00, 31.93it/s]
+epoch: 485, beta = 0.004900, Train MSE: 0.000655, Train CE:0.000007, Train KL:1.072946, Val MSE:0.000636, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 487/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 487/1000:   3%|▎         | 1/36 [00:00<00:14,  2.44it/s]
+Epoch 487/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.22it/s]
+Epoch 487/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.12it/s]
+Epoch 487/1000:  53%|█████▎    | 19/36 [00:00<00:00, 36.34it/s]
+Epoch 487/1000:  69%|██████▉   | 25/36 [00:00<00:00, 41.51it/s]
+Epoch 487/1000:  86%|████████▌ | 31/36 [00:00<00:00, 46.08it/s]
+Epoch 487/1000: 100%|██████████| 36/36 [00:01<00:00, 32.25it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 488/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 486, beta = 0.004900, Train MSE: 0.000654, Train CE:0.000002, Train KL:1.075055, Val MSE:0.000671, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 488/1000:   3%|▎         | 1/36 [00:00<00:13,  2.63it/s]
+Epoch 488/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.04it/s]
+Epoch 488/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.52it/s]
+Epoch 488/1000:  50%|█████     | 18/36 [00:00<00:00, 34.79it/s]
+Epoch 488/1000:  69%|██████▉   | 25/36 [00:00<00:00, 43.71it/s]
+Epoch 488/1000:  86%|████████▌ | 31/36 [00:00<00:00, 43.83it/s]
+Epoch 488/1000: 100%|██████████| 36/36 [00:01<00:00, 31.32it/s]
+epoch: 487, beta = 0.004900, Train MSE: 0.000639, Train CE:0.000004, Train KL:1.065584, Val MSE:0.000802, Val CE:0.000009, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 489/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 489/1000:   3%|▎         | 1/36 [00:00<00:12,  2.91it/s]
+Epoch 489/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.78it/s]
+Epoch 489/1000:  31%|███       | 11/36 [00:00<00:00, 27.22it/s]
+Epoch 489/1000:  47%|████▋     | 17/36 [00:00<00:00, 35.65it/s]
+Epoch 489/1000:  67%|██████▋   | 24/36 [00:00<00:00, 45.38it/s]
+Epoch 489/1000:  83%|████████▎ | 30/36 [00:00<00:00, 46.97it/s]
+Epoch 489/1000: 100%|██████████| 36/36 [00:01<00:00, 47.30it/s]
+Epoch 489/1000: 100%|██████████| 36/36 [00:01<00:00, 32.15it/s]
+epoch: 488, beta = 0.004900, Train MSE: 0.000622, Train CE:0.000151, Train KL:1.078529, Val MSE:0.000606, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 490/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 490/1000:   3%|▎         | 1/36 [00:00<00:12,  2.85it/s]
+Epoch 490/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.29it/s]
+Epoch 490/1000:  25%|██▌       | 9/36 [00:00<00:01, 20.24it/s]
+Epoch 490/1000:  33%|███▎      | 12/36 [00:00<00:01, 21.90it/s]
+Epoch 490/1000:  53%|█████▎    | 19/36 [00:00<00:00, 34.59it/s]
+Epoch 490/1000:  72%|███████▏  | 26/36 [00:00<00:00, 43.98it/s]
+Epoch 490/1000:  86%|████████▌ | 31/36 [00:01<00:00, 45.43it/s]
+Epoch 490/1000: 100%|██████████| 36/36 [00:01<00:00, 44.64it/s]
+Epoch 490/1000: 100%|██████████| 36/36 [00:01<00:00, 29.97it/s]
+epoch: 489, beta = 0.004900, Train MSE: 0.000604, Train CE:0.000003, Train KL:1.078353, Val MSE:0.000674, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 491/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 491/1000:   3%|▎         | 1/36 [00:00<00:11,  3.10it/s]
+Epoch 491/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.75it/s]
+Epoch 491/1000:  36%|███▌      | 13/36 [00:00<00:00, 30.32it/s]
+Epoch 491/1000:  56%|█████▌    | 20/36 [00:00<00:00, 40.07it/s]
+Epoch 491/1000:  75%|███████▌  | 27/36 [00:00<00:00, 47.07it/s]
+Epoch 491/1000:  94%|█████████▍| 34/36 [00:00<00:00, 51.30it/s]
+Epoch 491/1000: 100%|██████████| 36/36 [00:01<00:00, 35.63it/s]
+epoch: 490, beta = 0.004900, Train MSE: 0.000657, Train CE:0.000001, Train KL:1.069736, Val MSE:0.000663, Val CE:0.000016, Train ACC:1.000000, Val ACC:1.000000
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 492/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+
+Epoch 492/1000:   3%|▎         | 1/36 [00:00<00:12,  2.80it/s]
+Epoch 492/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.87it/s]
+Epoch 492/1000:  31%|███       | 11/36 [00:00<00:01, 24.04it/s]
+Epoch 492/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.70it/s]
+Epoch 492/1000:  64%|██████▍   | 23/36 [00:00<00:00, 41.36it/s]
+Epoch 492/1000:  83%|████████▎ | 30/36 [00:00<00:00, 47.30it/s]
+Epoch 492/1000: 100%|██████████| 36/36 [00:01<00:00, 32.37it/s]
+epoch: 491, beta = 0.004900, Train MSE: 0.000656, Train CE:0.000001, Train KL:1.069949, Val MSE:0.000651, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 493/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+
+Epoch 493/1000:   3%|▎         | 1/36 [00:00<00:13,  2.52it/s]
+Epoch 493/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.76it/s]
+Epoch 493/1000:  31%|███       | 11/36 [00:00<00:01, 23.36it/s]
+Epoch 493/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.41it/s]
+Epoch 493/1000:  61%|██████    | 22/36 [00:00<00:00, 38.19it/s]
+Epoch 493/1000:  78%|███████▊  | 28/36 [00:00<00:00, 44.04it/s]
+Epoch 493/1000:  97%|█████████▋| 35/36 [00:01<00:00, 49.33it/s]
+Epoch 493/1000: 100%|██████████| 36/36 [00:01<00:00, 32.07it/s]
+epoch: 492, beta = 0.004900, Train MSE: 0.000599, Train CE:0.000001, Train KL:1.077461, Val MSE:0.000616, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 494/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 494/1000:   3%|▎         | 1/36 [00:00<00:12,  2.74it/s]
+Epoch 494/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.39it/s]
+Epoch 494/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.60it/s]
+Epoch 494/1000:  50%|█████     | 18/36 [00:00<00:00, 32.62it/s]
+Epoch 494/1000:  64%|██████▍   | 23/36 [00:00<00:00, 36.80it/s]
+Epoch 494/1000:  81%|████████  | 29/36 [00:00<00:00, 42.95it/s]
+Epoch 494/1000: 100%|██████████| 36/36 [00:01<00:00, 33.45it/s]
+epoch: 493, beta = 0.004900, Train MSE: 0.000717, Train CE:0.000004, Train KL:1.062052, Val MSE:0.000667, Val CE:0.000020, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 495/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 495/1000:   3%|▎         | 1/36 [00:00<00:13,  2.56it/s]
+Epoch 495/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.47it/s]
+Epoch 495/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.77it/s]
+Epoch 495/1000:  53%|█████▎    | 19/36 [00:00<00:00, 36.25it/s]
+Epoch 495/1000:  67%|██████▋   | 24/36 [00:00<00:00, 39.04it/s]
+Epoch 495/1000:  83%|████████▎ | 30/36 [00:00<00:00, 44.13it/s]
+Epoch 495/1000: 100%|██████████| 36/36 [00:01<00:00, 32.22it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 496/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 494, beta = 0.004900, Train MSE: 0.000669, Train CE:0.000061, Train KL:1.067806, Val MSE:0.000700, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 496/1000:   3%|▎         | 1/36 [00:00<00:14,  2.49it/s]
+Epoch 496/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.76it/s]
+Epoch 496/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.56it/s]
+Epoch 496/1000:  50%|█████     | 18/36 [00:00<00:00, 35.06it/s]
+Epoch 496/1000:  64%|██████▍   | 23/36 [00:00<00:00, 37.68it/s]
+Epoch 496/1000:  78%|███████▊  | 28/36 [00:00<00:00, 40.46it/s]
+Epoch 496/1000:  97%|█████████▋| 35/36 [00:01<00:00, 46.82it/s]
+Epoch 496/1000: 100%|██████████| 36/36 [00:01<00:00, 31.16it/s]
+Learning rate updated: 0.00010467395472325493
+epoch: 495, beta = 0.004900, Train MSE: 0.000632, Train CE:0.000100, Train KL:1.069391, Val MSE:0.000683, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 497/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 497/1000:   3%|▎         | 1/36 [00:00<00:11,  3.10it/s]
+Epoch 497/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.04it/s]
+Epoch 497/1000:  31%|███       | 11/36 [00:00<00:00, 26.32it/s]
+Epoch 497/1000:  47%|████▋     | 17/36 [00:00<00:00, 35.09it/s]
+Epoch 497/1000:  61%|██████    | 22/36 [00:00<00:00, 39.06it/s]
+Epoch 497/1000:  75%|███████▌  | 27/36 [00:00<00:00, 40.91it/s]
+Epoch 497/1000:  92%|█████████▏| 33/36 [00:00<00:00, 46.00it/s]
+Epoch 497/1000: 100%|██████████| 36/36 [00:01<00:00, 33.47it/s]
+epoch: 496, beta = 0.004900, Train MSE: 0.000662, Train CE:0.000001, Train KL:1.081034, Val MSE:0.000639, Val CE:0.000234, Train ACC:1.000000, Val ACC:0.999944
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 498/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 498/1000:   3%|▎         | 1/36 [00:00<00:13,  2.55it/s]
+Epoch 498/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.95it/s]
+Epoch 498/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.62it/s]
+Epoch 498/1000:  50%|█████     | 18/36 [00:00<00:00, 34.67it/s]
+Epoch 498/1000:  64%|██████▍   | 23/36 [00:00<00:00, 37.42it/s]
+Epoch 498/1000:  81%|████████  | 29/36 [00:00<00:00, 42.13it/s]
+Epoch 498/1000:  94%|█████████▍| 34/36 [00:01<00:00, 43.65it/s]
+Epoch 498/1000: 100%|██████████| 36/36 [00:01<00:00, 30.89it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 499/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 497, beta = 0.004900, Train MSE: 0.000848, Train CE:0.000002, Train KL:1.098426, Val MSE:0.000659, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 499/1000:   3%|▎         | 1/36 [00:00<00:11,  3.14it/s]
+Epoch 499/1000:  11%|█         | 4/36 [00:00<00:02, 11.11it/s]
+Epoch 499/1000:  25%|██▌       | 9/36 [00:00<00:01, 22.02it/s]
+Epoch 499/1000:  39%|███▉      | 14/36 [00:00<00:00, 29.36it/s]
+Epoch 499/1000:  56%|█████▌    | 20/36 [00:00<00:00, 36.62it/s]
+Epoch 499/1000:  72%|███████▏  | 26/36 [00:00<00:00, 41.40it/s]
+Epoch 499/1000:  92%|█████████▏| 33/36 [00:00<00:00, 47.51it/s]
+Epoch 499/1000: 100%|██████████| 36/36 [00:01<00:00, 31.23it/s]
+epoch: 498, beta = 0.004900, Train MSE: 0.000572, Train CE:0.000001, Train KL:1.133733, Val MSE:0.000538, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 500/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 500/1000:   3%|▎         | 1/36 [00:00<00:13,  2.66it/s]
+Epoch 500/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.67it/s]
+Epoch 500/1000:  25%|██▌       | 9/36 [00:00<00:01, 20.11it/s]
+Epoch 500/1000:  39%|███▉      | 14/36 [00:00<00:00, 28.23it/s]
+Epoch 500/1000:  56%|█████▌    | 20/36 [00:00<00:00, 35.81it/s]
+Epoch 500/1000:  72%|███████▏  | 26/36 [00:00<00:00, 41.33it/s]
+Epoch 500/1000:  89%|████████▉ | 32/36 [00:01<00:00, 45.60it/s]
+Epoch 500/1000: 100%|██████████| 36/36 [00:01<00:00, 31.63it/s]
+epoch: 499, beta = 0.004900, Train MSE: 0.000559, Train CE:0.000004, Train KL:1.115625, Val MSE:0.000565, Val CE:0.000006, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 501/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 501/1000:   3%|▎         | 1/36 [00:00<00:13,  2.60it/s]
+Epoch 501/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.19it/s]
+Epoch 501/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.46it/s]
+Epoch 501/1000:  39%|███▉      | 14/36 [00:00<00:00, 25.30it/s]
+Epoch 501/1000:  50%|█████     | 18/36 [00:00<00:00, 29.04it/s]
+Epoch 501/1000:  64%|██████▍   | 23/36 [00:00<00:00, 32.98it/s]
+Epoch 501/1000:  81%|████████  | 29/36 [00:01<00:00, 39.62it/s]
+Epoch 501/1000: 100%|██████████| 36/36 [00:01<00:00, 47.41it/s]
+Epoch 501/1000: 100%|██████████| 36/36 [00:01<00:00, 29.62it/s]
+epoch: 500, beta = 0.004900, Train MSE: 0.000599, Train CE:0.000015, Train KL:1.106829, Val MSE:0.000540, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 502/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 502/1000:   3%|▎         | 1/36 [00:00<00:15,  2.28it/s]
+Epoch 502/1000:  19%|█▉        | 7/36 [00:00<00:01, 15.68it/s]
+Epoch 502/1000:  33%|███▎      | 12/36 [00:00<00:01, 23.81it/s]
+Epoch 502/1000:  50%|█████     | 18/36 [00:00<00:00, 31.94it/s]
+Epoch 502/1000:  64%|██████▍   | 23/36 [00:00<00:00, 36.63it/s]
+Epoch 502/1000:  81%|████████  | 29/36 [00:00<00:00, 42.68it/s]
+Epoch 502/1000: 100%|██████████| 36/36 [00:01<00:00, 48.69it/s]
+Epoch 502/1000: 100%|██████████| 36/36 [00:01<00:00, 30.92it/s]
+epoch: 501, beta = 0.004900, Train MSE: 0.000561, Train CE:0.000006, Train KL:1.102201, Val MSE:0.000615, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 503/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 503/1000:   3%|▎         | 1/36 [00:00<00:11,  2.93it/s]
+Epoch 503/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.60it/s]
+Epoch 503/1000:  31%|███       | 11/36 [00:00<00:00, 25.73it/s]
+Epoch 503/1000:  44%|████▍     | 16/36 [00:00<00:00, 31.58it/s]
+Epoch 503/1000:  58%|█████▊    | 21/36 [00:00<00:00, 36.29it/s]
+Epoch 503/1000:  72%|███████▏  | 26/36 [00:00<00:00, 39.28it/s]
+Epoch 503/1000:  86%|████████▌ | 31/36 [00:00<00:00, 40.78it/s]
+Epoch 503/1000: 100%|██████████| 36/36 [00:01<00:00, 30.76it/s]
+epoch: 502, beta = 0.004900, Train MSE: 0.000626, Train CE:0.000094, Train KL:1.099061, Val MSE:0.000576, Val CE:0.000388, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 504/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 504/1000:   3%|▎         | 1/36 [00:00<00:13,  2.51it/s]
+Epoch 504/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.63it/s]
+Epoch 504/1000:  31%|███       | 11/36 [00:00<00:01, 24.07it/s]
+Epoch 504/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.45it/s]
+Epoch 504/1000:  64%|██████▍   | 23/36 [00:00<00:00, 38.44it/s]
+Epoch 504/1000:  81%|████████  | 29/36 [00:00<00:00, 44.02it/s]
+Epoch 504/1000: 100%|██████████| 36/36 [00:01<00:00, 50.15it/s]
+Epoch 504/1000: 100%|██████████| 36/36 [00:01<00:00, 31.90it/s]
+epoch: 503, beta = 0.004900, Train MSE: 0.000579, Train CE:0.000000, Train KL:1.106173, Val MSE:0.000606, Val CE:0.000005, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 505/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 505/1000:   3%|▎         | 1/36 [00:00<00:15,  2.23it/s]
+Epoch 505/1000:  19%|█▉        | 7/36 [00:00<00:01, 15.53it/s]
+Epoch 505/1000:  36%|███▌      | 13/36 [00:00<00:00, 25.40it/s]
+Epoch 505/1000:  53%|█████▎    | 19/36 [00:00<00:00, 32.93it/s]
+Epoch 505/1000:  67%|██████▋   | 24/36 [00:00<00:00, 36.98it/s]
+Epoch 505/1000:  83%|████████▎ | 30/36 [00:01<00:00, 42.38it/s]
+Epoch 505/1000: 100%|██████████| 36/36 [00:01<00:00, 30.51it/s]
+epoch: 504, beta = 0.004900, Train MSE: 0.000612, Train CE:0.000394, Train KL:1.093889, Val MSE:0.000626, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 506/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 506/1000:   3%|▎         | 1/36 [00:00<00:12,  2.76it/s]
+Epoch 506/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.69it/s]
+Epoch 506/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.23it/s]
+Epoch 506/1000:  50%|█████     | 18/36 [00:00<00:00, 35.01it/s]
+Epoch 506/1000:  64%|██████▍   | 23/36 [00:00<00:00, 38.27it/s]
+Epoch 506/1000:  78%|███████▊  | 28/36 [00:00<00:00, 41.25it/s]
+Epoch 506/1000:  94%|█████████▍| 34/36 [00:01<00:00, 44.74it/s]
+Epoch 506/1000: 100%|██████████| 36/36 [00:01<00:00, 31.40it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 507/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 505, beta = 0.004900, Train MSE: 0.000721, Train CE:0.000001, Train KL:1.088210, Val MSE:0.000629, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 507/1000:   3%|▎         | 1/36 [00:00<00:11,  2.96it/s]
+Epoch 507/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.81it/s]
+Epoch 507/1000:  33%|███▎      | 12/36 [00:00<00:00, 28.30it/s]
+Epoch 507/1000:  47%|████▋     | 17/36 [00:00<00:00, 34.34it/s]
+Epoch 507/1000:  64%|██████▍   | 23/36 [00:00<00:00, 41.73it/s]
+Epoch 507/1000:  78%|███████▊  | 28/36 [00:00<00:00, 42.30it/s]
+Epoch 507/1000:  94%|█████████▍| 34/36 [00:00<00:00, 47.32it/s]
+Epoch 507/1000: 100%|██████████| 36/36 [00:01<00:00, 33.60it/s]
+Learning rate updated: 9.944025698709218e-05
+epoch: 506, beta = 0.004900, Train MSE: 0.000629, Train CE:0.000001, Train KL:1.083080, Val MSE:0.000641, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 508/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 508/1000:   3%|▎         | 1/36 [00:00<00:15,  2.21it/s]
+Epoch 508/1000:  19%|█▉        | 7/36 [00:00<00:01, 15.41it/s]
+Epoch 508/1000:  33%|███▎      | 12/36 [00:00<00:01, 23.74it/s]
+Epoch 508/1000:  50%|█████     | 18/36 [00:00<00:00, 32.53it/s]
+Epoch 508/1000:  67%|██████▋   | 24/36 [00:00<00:00, 39.22it/s]
+Epoch 508/1000:  83%|████████▎ | 30/36 [00:00<00:00, 43.84it/s]
+Epoch 508/1000: 100%|██████████| 36/36 [00:01<00:00, 46.43it/s]
+Epoch 508/1000: 100%|██████████| 36/36 [00:01<00:00, 30.24it/s]
+epoch: 507, beta = 0.004900, Train MSE: 0.000615, Train CE:0.000009, Train KL:1.078912, Val MSE:0.000642, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 509/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 509/1000:   3%|▎         | 1/36 [00:00<00:13,  2.62it/s]
+Epoch 509/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.37it/s]
+Epoch 509/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.54it/s]
+Epoch 509/1000:  50%|█████     | 18/36 [00:00<00:00, 33.12it/s]
+Epoch 509/1000:  67%|██████▋   | 24/36 [00:00<00:00, 38.76it/s]
+Epoch 509/1000:  83%|████████▎ | 30/36 [00:00<00:00, 44.47it/s]
+Epoch 509/1000: 100%|██████████| 36/36 [00:01<00:00, 46.81it/s]
+Epoch 509/1000: 100%|██████████| 36/36 [00:01<00:00, 30.97it/s]
+epoch: 508, beta = 0.004900, Train MSE: 0.000619, Train CE:0.000001, Train KL:1.071629, Val MSE:0.000653, Val CE:0.000227, Train ACC:1.000000, Val ACC:0.999944
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 510/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 510/1000:   3%|▎         | 1/36 [00:00<00:12,  2.87it/s]
+Epoch 510/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.75it/s]
+Epoch 510/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.85it/s]
+Epoch 510/1000:  50%|█████     | 18/36 [00:00<00:00, 34.32it/s]
+Epoch 510/1000:  67%|██████▋   | 24/36 [00:00<00:00, 40.18it/s]
+Epoch 510/1000:  81%|████████  | 29/36 [00:00<00:00, 41.25it/s]
+Epoch 510/1000:  97%|█████████▋| 35/36 [00:01<00:00, 46.37it/s]
+Epoch 510/1000: 100%|██████████| 36/36 [00:01<00:00, 31.42it/s]
+epoch: 509, beta = 0.004900, Train MSE: 0.000675, Train CE:0.000007, Train KL:1.069655, Val MSE:0.000633, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 511/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 511/1000:   3%|▎         | 1/36 [00:00<00:12,  2.78it/s]
+Epoch 511/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.87it/s]
+Epoch 511/1000:  31%|███       | 11/36 [00:00<00:00, 25.49it/s]
+Epoch 511/1000:  50%|█████     | 18/36 [00:00<00:00, 37.27it/s]
+Epoch 511/1000:  67%|██████▋   | 24/36 [00:00<00:00, 43.36it/s]
+Epoch 511/1000:  83%|████████▎ | 30/36 [00:00<00:00, 48.14it/s]
+Epoch 511/1000: 100%|██████████| 36/36 [00:00<00:00, 50.82it/s]
+Epoch 511/1000: 100%|██████████| 36/36 [00:01<00:00, 33.23it/s]
+epoch: 510, beta = 0.004900, Train MSE: 0.000633, Train CE:0.000001, Train KL:1.071622, Val MSE:0.000626, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 512/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 512/1000:   3%|▎         | 1/36 [00:00<00:13,  2.67it/s]
+Epoch 512/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.25it/s]
+Epoch 512/1000:  31%|███       | 11/36 [00:00<00:01, 24.19it/s]
+Epoch 512/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.23it/s]
+Epoch 512/1000:  58%|█████▊    | 21/36 [00:00<00:00, 34.60it/s]
+Epoch 512/1000:  75%|███████▌  | 27/36 [00:00<00:00, 41.47it/s]
+Epoch 512/1000:  94%|█████████▍| 34/36 [00:01<00:00, 48.89it/s]
+Epoch 512/1000: 100%|██████████| 36/36 [00:01<00:00, 31.48it/s]
+epoch: 511, beta = 0.004900, Train MSE: 0.000672, Train CE:0.000153, Train KL:1.064909, Val MSE:0.000655, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 513/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 513/1000:   3%|▎         | 1/36 [00:00<00:14,  2.50it/s]
+Epoch 513/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.10it/s]
+Epoch 513/1000:  36%|███▌      | 13/36 [00:00<00:00, 27.49it/s]
+Epoch 513/1000:  53%|█████▎    | 19/36 [00:00<00:00, 36.14it/s]
+Epoch 513/1000:  69%|██████▉   | 25/36 [00:00<00:00, 42.38it/s]
+Epoch 513/1000:  86%|████████▌ | 31/36 [00:00<00:00, 45.97it/s]
+Epoch 513/1000: 100%|██████████| 36/36 [00:01<00:00, 32.07it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 514/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 514/1000:   3%|▎         | 1/36 [00:00<00:14,  2.41it/s]
+Epoch 514/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.36it/s]
+Epoch 514/1000:  36%|███▌      | 13/36 [00:00<00:00, 26.39it/s]
+Epoch 514/1000:  47%|████▋     | 17/36 [00:00<00:00, 29.75it/s]
+Epoch 514/1000:  61%|██████    | 22/36 [00:00<00:00, 34.81it/s]
+Epoch 514/1000:  78%|███████▊  | 28/36 [00:00<00:00, 40.05it/s]
+Epoch 514/1000:  92%|█████████▏| 33/36 [00:01<00:00, 42.58it/s]
+Epoch 514/1000: 100%|██████████| 36/36 [00:01<00:00, 29.20it/s]
+epoch: 513, beta = 0.004900, Train MSE: 0.000658, Train CE:0.000067, Train KL:1.077782, Val MSE:0.000664, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 515/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 515/1000:   3%|▎         | 1/36 [00:00<00:13,  2.58it/s]
+Epoch 515/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.29it/s]
+Epoch 515/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.10it/s]
+Epoch 515/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.27it/s]
+Epoch 515/1000:  64%|██████▍   | 23/36 [00:00<00:00, 38.61it/s]
+Epoch 515/1000:  81%|████████  | 29/36 [00:00<00:00, 43.65it/s]
+Epoch 515/1000: 100%|██████████| 36/36 [00:01<00:00, 32.62it/s]
+epoch: 514, beta = 0.004900, Train MSE: 0.000657, Train CE:0.000087, Train KL:1.087188, Val MSE:0.000621, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 516/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 516/1000:   3%|▎         | 1/36 [00:00<00:11,  3.05it/s]
+Epoch 516/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.04it/s]
+Epoch 516/1000:  36%|███▌      | 13/36 [00:00<00:00, 29.64it/s]
+Epoch 516/1000:  50%|█████     | 18/36 [00:00<00:00, 35.37it/s]
+Epoch 516/1000:  64%|██████▍   | 23/36 [00:00<00:00, 38.95it/s]
+Epoch 516/1000:  81%|████████  | 29/36 [00:00<00:00, 44.43it/s]
+Epoch 516/1000: 100%|██████████| 36/36 [00:01<00:00, 33.95it/s]
+epoch: 515, beta = 0.004900, Train MSE: 0.000590, Train CE:0.000002, Train KL:1.092695, Val MSE:0.000608, Val CE:0.000000, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 517/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 517/1000:   3%|▎         | 1/36 [00:00<00:12,  2.81it/s]
+Epoch 517/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.82it/s]
+Epoch 517/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.67it/s]
+Epoch 517/1000:  50%|█████     | 18/36 [00:00<00:00, 36.18it/s]
+Epoch 517/1000:  67%|██████▋   | 24/36 [00:00<00:00, 42.24it/s]
+Epoch 517/1000:  86%|████████▌ | 31/36 [00:00<00:00, 48.20it/s]
+Epoch 517/1000: 100%|██████████| 36/36 [00:01<00:00, 33.25it/s]
+epoch: 516, beta = 0.004900, Train MSE: 0.000640, Train CE:0.000001, Train KL:1.078255, Val MSE:0.000620, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 518/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 518/1000:   3%|▎         | 1/36 [00:00<00:10,  3.19it/s]
+Epoch 518/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.51it/s]
+Epoch 518/1000:  31%|███       | 11/36 [00:00<00:00, 26.94it/s]
+Epoch 518/1000:  47%|████▋     | 17/36 [00:00<00:00, 36.10it/s]
+Epoch 518/1000:  64%|██████▍   | 23/36 [00:00<00:00, 42.15it/s]
+Epoch 518/1000:  81%|████████  | 29/36 [00:00<00:00, 47.11it/s]
+Epoch 518/1000:  97%|█████████▋| 35/36 [00:00<00:00, 50.82it/s]
+Epoch 518/1000: 100%|██████████| 36/36 [00:01<00:00, 34.15it/s]
+Learning rate updated: 9.446824413773756e-05
+epoch: 517, beta = 0.004900, Train MSE: 0.000601, Train CE:0.000001, Train KL:1.078723, Val MSE:0.000627, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 519/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 519/1000:   3%|▎         | 1/36 [00:00<00:11,  2.99it/s]
+Epoch 519/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.98it/s]
+Epoch 519/1000:  36%|███▌      | 13/36 [00:00<00:00, 29.45it/s]
+Epoch 519/1000:  50%|█████     | 18/36 [00:00<00:00, 34.84it/s]
+Epoch 519/1000:  64%|██████▍   | 23/36 [00:00<00:00, 38.21it/s]
+Epoch 519/1000:  81%|████████  | 29/36 [00:00<00:00, 41.88it/s]
+Epoch 519/1000: 100%|██████████| 36/36 [00:01<00:00, 33.50it/s]
+epoch: 518, beta = 0.004900, Train MSE: 0.000636, Train CE:0.000001, Train KL:1.070007, Val MSE:0.000619, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 520/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 520/1000:   3%|▎         | 1/36 [00:00<00:14,  2.45it/s]
+Epoch 520/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.66it/s]
+Epoch 520/1000:  36%|███▌      | 13/36 [00:00<00:00, 27.66it/s]
+Epoch 520/1000:  53%|█████▎    | 19/36 [00:00<00:00, 35.07it/s]
+Epoch 520/1000:  67%|██████▋   | 24/36 [00:00<00:00, 39.06it/s]
+Epoch 520/1000:  83%|████████▎ | 30/36 [00:00<00:00, 43.32it/s]
+Epoch 520/1000: 100%|██████████| 36/36 [00:01<00:00, 32.56it/s]
+epoch: 519, beta = 0.004900, Train MSE: 0.000664, Train CE:0.000009, Train KL:1.068456, Val MSE:0.000684, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 521/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 521/1000:   3%|▎         | 1/36 [00:00<00:13,  2.56it/s]
+Epoch 521/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.56it/s]
+Epoch 521/1000:  31%|███       | 11/36 [00:00<00:01, 23.44it/s]
+Epoch 521/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.61it/s]
+Epoch 521/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.70it/s]
+Epoch 521/1000:  78%|███████▊  | 28/36 [00:00<00:00, 37.58it/s]
+Epoch 521/1000:  94%|█████████▍| 34/36 [00:01<00:00, 42.94it/s]
+Epoch 521/1000: 100%|██████████| 36/36 [00:01<00:00, 30.35it/s]
+epoch: 520, beta = 0.004900, Train MSE: 0.000636, Train CE:0.000013, Train KL:1.065100, Val MSE:0.000734, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 522/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 522/1000:   3%|▎         | 1/36 [00:00<00:13,  2.58it/s]
+Epoch 522/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.06it/s]
+Epoch 522/1000:  31%|███       | 11/36 [00:00<00:01, 24.27it/s]
+Epoch 522/1000:  44%|████▍     | 16/36 [00:00<00:00, 31.03it/s]
+Epoch 522/1000:  61%|██████    | 22/36 [00:00<00:00, 38.55it/s]
+Epoch 522/1000:  78%|███████▊  | 28/36 [00:00<00:00, 43.64it/s]
+Epoch 522/1000:  94%|█████████▍| 34/36 [00:01<00:00, 47.85it/s]
+Epoch 522/1000: 100%|██████████| 36/36 [00:01<00:00, 31.50it/s]
+epoch: 521, beta = 0.004900, Train MSE: 0.000663, Train CE:0.000001, Train KL:1.059167, Val MSE:0.000709, Val CE:0.000132, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 523/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 523/1000:   3%|▎         | 1/36 [00:00<00:12,  2.91it/s]
+Epoch 523/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.21it/s]
+Epoch 523/1000:  28%|██▊       | 10/36 [00:00<00:01, 22.64it/s]
+Epoch 523/1000:  42%|████▏     | 15/36 [00:00<00:00, 30.00it/s]
+Epoch 523/1000:  53%|█████▎    | 19/36 [00:00<00:00, 32.53it/s]
+Epoch 523/1000:  64%|██████▍   | 23/36 [00:00<00:00, 34.10it/s]
+Epoch 523/1000:  81%|████████  | 29/36 [00:00<00:00, 40.30it/s]
+Epoch 523/1000: 100%|██████████| 36/36 [00:01<00:00, 48.41it/s]
+Epoch 523/1000: 100%|██████████| 36/36 [00:01<00:00, 29.75it/s]
+epoch: 522, beta = 0.004900, Train MSE: 0.000656, Train CE:0.000001, Train KL:1.071801, Val MSE:0.000614, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 524/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 524/1000:   3%|▎         | 1/36 [00:00<00:13,  2.59it/s]
+Epoch 524/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.13it/s]
+Epoch 524/1000:  31%|███       | 11/36 [00:00<00:01, 24.46it/s]
+Epoch 524/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.77it/s]
+Epoch 524/1000:  61%|██████    | 22/36 [00:00<00:00, 38.46it/s]
+Epoch 524/1000:  83%|████████▎ | 30/36 [00:00<00:00, 48.73it/s]
+Epoch 524/1000: 100%|██████████| 36/36 [00:01<00:00, 32.84it/s]
+epoch: 523, beta = 0.004900, Train MSE: 0.000623, Train CE:0.000214, Train KL:1.075256, Val MSE:0.000601, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 525/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 525/1000:   3%|▎         | 1/36 [00:00<00:15,  2.28it/s]
+Epoch 525/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.68it/s]
+Epoch 525/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.80it/s]
+Epoch 525/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.10it/s]
+Epoch 525/1000:  67%|██████▋   | 24/36 [00:00<00:00, 40.31it/s]
+Epoch 525/1000:  86%|████████▌ | 31/36 [00:00<00:00, 47.54it/s]
+Epoch 525/1000: 100%|██████████| 36/36 [00:01<00:00, 32.05it/s]
+epoch: 524, beta = 0.004900, Train MSE: 0.000630, Train CE:0.000011, Train KL:1.081883, Val MSE:0.000663, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 526/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 526/1000:   3%|▎         | 1/36 [00:00<00:12,  2.76it/s]
+Epoch 526/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.84it/s]
+Epoch 526/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.47it/s]
+Epoch 526/1000:  50%|█████     | 18/36 [00:00<00:00, 35.73it/s]
+Epoch 526/1000:  67%|██████▋   | 24/36 [00:00<00:00, 41.37it/s]
+Epoch 526/1000:  86%|████████▌ | 31/36 [00:00<00:00, 47.77it/s]
+Epoch 526/1000: 100%|██████████| 36/36 [00:01<00:00, 32.52it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 527/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 525, beta = 0.004900, Train MSE: 0.000627, Train CE:0.000001, Train KL:1.073205, Val MSE:0.000638, Val CE:0.000241, Train ACC:1.000000, Val ACC:0.999944
+
+Epoch 527/1000:   3%|▎         | 1/36 [00:00<00:11,  3.12it/s]
+Epoch 527/1000:  14%|█▍        | 5/36 [00:00<00:02, 14.45it/s]
+Epoch 527/1000:  28%|██▊       | 10/36 [00:00<00:01, 25.03it/s]
+Epoch 527/1000:  44%|████▍     | 16/36 [00:00<00:00, 34.00it/s]
+Epoch 527/1000:  61%|██████    | 22/36 [00:00<00:00, 39.49it/s]
+Epoch 527/1000:  78%|███████▊  | 28/36 [00:00<00:00, 44.92it/s]
+Epoch 527/1000: 100%|██████████| 36/36 [00:00<00:00, 54.29it/s]
+Epoch 527/1000: 100%|██████████| 36/36 [00:01<00:00, 33.84it/s]
+epoch: 526, beta = 0.004900, Train MSE: 0.000649, Train CE:0.000002, Train KL:1.063601, Val MSE:0.000833, Val CE:0.000060, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 528/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 528/1000:   3%|▎         | 1/36 [00:00<00:16,  2.08it/s]
+Epoch 528/1000:  19%|█▉        | 7/36 [00:00<00:01, 14.98it/s]
+Epoch 528/1000:  36%|███▌      | 13/36 [00:00<00:00, 25.38it/s]
+Epoch 528/1000:  53%|█████▎    | 19/36 [00:00<00:00, 33.11it/s]
+Epoch 528/1000:  72%|███████▏  | 26/36 [00:00<00:00, 42.37it/s]
+Epoch 528/1000:  92%|█████████▏| 33/36 [00:01<00:00, 47.22it/s]
+Epoch 528/1000: 100%|██████████| 36/36 [00:01<00:00, 30.49it/s]
+epoch: 527, beta = 0.004900, Train MSE: 0.000647, Train CE:0.000034, Train KL:1.058216, Val MSE:0.000672, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 529/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 529/1000:   3%|▎         | 1/36 [00:00<00:13,  2.65it/s]
+Epoch 529/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.58it/s]
+Epoch 529/1000:  36%|███▌      | 13/36 [00:00<00:00, 27.66it/s]
+Epoch 529/1000:  56%|█████▌    | 20/36 [00:00<00:00, 38.11it/s]
+Epoch 529/1000:  75%|███████▌  | 27/36 [00:00<00:00, 45.70it/s]
+Epoch 529/1000:  92%|█████████▏| 33/36 [00:00<00:00, 46.03it/s]
+Epoch 529/1000: 100%|██████████| 36/36 [00:01<00:00, 32.56it/s]
+Learning rate updated: 8.974483193085068e-05
+epoch: 528, beta = 0.004900, Train MSE: 0.000663, Train CE:0.000002, Train KL:1.058406, Val MSE:0.000666, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 530/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 530/1000:   3%|▎         | 1/36 [00:00<00:13,  2.67it/s]
+Epoch 530/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.58it/s]
+Epoch 530/1000:  36%|███▌      | 13/36 [00:00<00:00, 29.90it/s]
+Epoch 530/1000:  53%|█████▎    | 19/36 [00:00<00:00, 37.02it/s]
+Epoch 530/1000:  69%|██████▉   | 25/36 [00:00<00:00, 42.83it/s]
+Epoch 530/1000:  86%|████████▌ | 31/36 [00:00<00:00, 45.29it/s]
+Epoch 530/1000: 100%|██████████| 36/36 [00:01<00:00, 33.89it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 531/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 529, beta = 0.004900, Train MSE: 0.000675, Train CE:0.000001, Train KL:1.058160, Val MSE:0.000693, Val CE:0.000043, Train ACC:1.000000, Val ACC:0.999972
+
+Epoch 531/1000:   3%|▎         | 1/36 [00:00<00:15,  2.32it/s]
+Epoch 531/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.37it/s]
+Epoch 531/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.76it/s]
+Epoch 531/1000:  50%|█████     | 18/36 [00:00<00:00, 33.41it/s]
+Epoch 531/1000:  64%|██████▍   | 23/36 [00:00<00:00, 35.37it/s]
+Epoch 531/1000:  81%|████████  | 29/36 [00:00<00:00, 40.17it/s]
+Epoch 531/1000: 100%|██████████| 36/36 [00:01<00:00, 46.89it/s]
+Epoch 531/1000: 100%|██████████| 36/36 [00:01<00:00, 30.68it/s]
+epoch: 530, beta = 0.004900, Train MSE: 0.000721, Train CE:0.000027, Train KL:1.069801, Val MSE:0.000615, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 532/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 532/1000:   3%|▎         | 1/36 [00:00<00:13,  2.59it/s]
+Epoch 532/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.68it/s]
+Epoch 532/1000:  31%|███       | 11/36 [00:00<00:00, 25.37it/s]
+Epoch 532/1000:  50%|█████     | 18/36 [00:00<00:00, 35.82it/s]
+Epoch 532/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.21it/s]
+Epoch 532/1000:  81%|████████  | 29/36 [00:00<00:00, 43.79it/s]
+Epoch 532/1000: 100%|██████████| 36/36 [00:01<00:00, 50.11it/s]
+Epoch 532/1000: 100%|██████████| 36/36 [00:01<00:00, 32.79it/s]
+epoch: 531, beta = 0.004900, Train MSE: 0.000627, Train CE:0.000002, Train KL:1.065331, Val MSE:0.000724, Val CE:0.000032, Train ACC:1.000000, Val ACC:0.999972
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 533/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+
+Epoch 533/1000:   3%|▎         | 1/36 [00:00<00:13,  2.64it/s]
+Epoch 533/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.56it/s]
+Epoch 533/1000:  31%|███       | 11/36 [00:00<00:00, 25.00it/s]
+Epoch 533/1000:  44%|████▍     | 16/36 [00:00<00:00, 31.77it/s]
+Epoch 533/1000:  61%|██████    | 22/36 [00:00<00:00, 37.61it/s]
+Epoch 533/1000:  78%|███████▊  | 28/36 [00:00<00:00, 43.65it/s]
+Epoch 533/1000:  97%|█████████▋| 35/36 [00:01<00:00, 49.18it/s]
+Epoch 533/1000: 100%|██████████| 36/36 [00:01<00:00, 32.75it/s]
+epoch: 532, beta = 0.004900, Train MSE: 0.000647, Train CE:0.000067, Train KL:1.066778, Val MSE:0.000697, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 534/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 534/1000:   3%|▎         | 1/36 [00:00<00:13,  2.60it/s]
+Epoch 534/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.13it/s]
+Epoch 534/1000:  31%|███       | 11/36 [00:00<00:01, 24.27it/s]
+Epoch 534/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.91it/s]
+Epoch 534/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.05it/s]
+Epoch 534/1000:  81%|████████  | 29/36 [00:00<00:00, 43.89it/s]
+Epoch 534/1000:  94%|█████████▍| 34/36 [00:01<00:00, 44.04it/s]
+Epoch 534/1000: 100%|██████████| 36/36 [00:01<00:00, 31.06it/s]
+epoch: 533, beta = 0.004900, Train MSE: 0.000645, Train CE:0.000002, Train KL:1.069724, Val MSE:0.000719, Val CE:0.000030, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 535/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 535/1000:   3%|▎         | 1/36 [00:00<00:12,  2.84it/s]
+Epoch 535/1000:  22%|██▏       | 8/36 [00:00<00:01, 21.57it/s]
+Epoch 535/1000:  44%|████▍     | 16/36 [00:00<00:00, 36.71it/s]
+Epoch 535/1000:  61%|██████    | 22/36 [00:00<00:00, 40.85it/s]
+Epoch 535/1000:  78%|███████▊  | 28/36 [00:00<00:00, 44.79it/s]
+Epoch 535/1000:  97%|█████████▋| 35/36 [00:00<00:00, 51.45it/s]
+Epoch 535/1000: 100%|██████████| 36/36 [00:00<00:00, 36.22it/s]
+epoch: 534, beta = 0.004900, Train MSE: 0.000663, Train CE:0.000002, Train KL:1.061599, Val MSE:0.000640, Val CE:0.000005, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 536/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 536/1000:   3%|▎         | 1/36 [00:00<00:14,  2.47it/s]
+Epoch 536/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.89it/s]
+Epoch 536/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.53it/s]
+Epoch 536/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.72it/s]
+Epoch 536/1000:  61%|██████    | 22/36 [00:00<00:00, 35.51it/s]
+Epoch 536/1000:  81%|████████  | 29/36 [00:00<00:00, 42.91it/s]
+Epoch 536/1000: 100%|██████████| 36/36 [00:01<00:00, 31.33it/s]
+epoch: 535, beta = 0.004900, Train MSE: 0.000630, Train CE:0.000001, Train KL:1.059662, Val MSE:0.000640, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 537/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 537/1000:   3%|▎         | 1/36 [00:00<00:16,  2.15it/s]
+Epoch 537/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.40it/s]
+Epoch 537/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.73it/s]
+Epoch 537/1000:  50%|█████     | 18/36 [00:00<00:00, 33.23it/s]
+Epoch 537/1000:  67%|██████▋   | 24/36 [00:00<00:00, 39.50it/s]
+Epoch 537/1000:  86%|████████▌ | 31/36 [00:00<00:00, 46.29it/s]
+Epoch 537/1000: 100%|██████████| 36/36 [00:01<00:00, 30.52it/s]
+epoch: 536, beta = 0.004900, Train MSE: 0.000687, Train CE:0.000002, Train KL:1.056228, Val MSE:0.000648, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 538/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 538/1000:   3%|▎         | 1/36 [00:00<00:13,  2.54it/s]
+Epoch 538/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.17it/s]
+Epoch 538/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.99it/s]
+Epoch 538/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.21it/s]
+Epoch 538/1000:  64%|██████▍   | 23/36 [00:00<00:00, 38.53it/s]
+Epoch 538/1000:  81%|████████  | 29/36 [00:00<00:00, 43.63it/s]
+Epoch 538/1000: 100%|██████████| 36/36 [00:01<00:00, 50.78it/s]
+Epoch 538/1000: 100%|██████████| 36/36 [00:01<00:00, 32.84it/s]
+epoch: 537, beta = 0.004900, Train MSE: 0.000660, Train CE:0.000043, Train KL:1.061832, Val MSE:0.000670, Val CE:0.000005, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 539/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 539/1000:   3%|▎         | 1/36 [00:00<00:14,  2.45it/s]
+Epoch 539/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.46it/s]
+Epoch 539/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.54it/s]
+Epoch 539/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.76it/s]
+Epoch 539/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.25it/s]
+Epoch 539/1000:  83%|████████▎ | 30/36 [00:00<00:00, 45.70it/s]
+Epoch 539/1000: 100%|██████████| 36/36 [00:01<00:00, 48.72it/s]
+Epoch 539/1000: 100%|██████████| 36/36 [00:01<00:00, 31.19it/s]
+epoch: 538, beta = 0.004900, Train MSE: 0.000751, Train CE:0.000005, Train KL:1.066237, Val MSE:0.000638, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 540/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 540/1000:   3%|▎         | 1/36 [00:00<00:12,  2.72it/s]
+Epoch 540/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.47it/s]
+Epoch 540/1000:  36%|███▌      | 13/36 [00:00<00:00, 29.73it/s]
+Epoch 540/1000:  56%|█████▌    | 20/36 [00:00<00:00, 39.48it/s]
+Epoch 540/1000:  75%|███████▌  | 27/36 [00:00<00:00, 45.51it/s]
+Epoch 540/1000:  94%|█████████▍| 34/36 [00:00<00:00, 50.35it/s]
+Epoch 540/1000: 100%|██████████| 36/36 [00:01<00:00, 34.84it/s]
+Learning rate updated: 8.525759033430814e-05
+epoch: 539, beta = 0.004900, Train MSE: 0.000631, Train CE:0.000024, Train KL:1.062959, Val MSE:0.000641, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 541/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 541/1000:   3%|▎         | 1/36 [00:00<00:13,  2.51it/s]
+Epoch 541/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.18it/s]
+Epoch 541/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.36it/s]
+Epoch 541/1000:  50%|█████     | 18/36 [00:00<00:00, 33.07it/s]
+Epoch 541/1000:  67%|██████▋   | 24/36 [00:00<00:00, 39.30it/s]
+Epoch 541/1000:  86%|████████▌ | 31/36 [00:00<00:00, 46.49it/s]
+Epoch 541/1000: 100%|██████████| 36/36 [00:01<00:00, 33.21it/s]
+epoch: 540, beta = 0.004900, Train MSE: 0.000642, Train CE:0.000003, Train KL:1.064192, Val MSE:0.000669, Val CE:0.000019, Train ACC:1.000000, Val ACC:1.000000
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 542/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+
+Epoch 542/1000:   3%|▎         | 1/36 [00:00<00:13,  2.53it/s]
+Epoch 542/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.11it/s]
+Epoch 542/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.25it/s]
+Epoch 542/1000:  50%|█████     | 18/36 [00:00<00:00, 34.61it/s]
+Epoch 542/1000:  67%|██████▋   | 24/36 [00:00<00:00, 41.49it/s]
+Epoch 542/1000:  83%|████████▎ | 30/36 [00:00<00:00, 43.95it/s]
+Epoch 542/1000: 100%|██████████| 36/36 [00:01<00:00, 31.88it/s]
+epoch: 541, beta = 0.004900, Train MSE: 0.000660, Train CE:0.000001, Train KL:1.064431, Val MSE:0.000721, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 543/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 543/1000:   3%|▎         | 1/36 [00:00<00:10,  3.18it/s]
+Epoch 543/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.50it/s]
+Epoch 543/1000:  33%|███▎      | 12/36 [00:00<00:00, 30.45it/s]
+Epoch 543/1000:  50%|█████     | 18/36 [00:00<00:00, 38.11it/s]
+Epoch 543/1000:  67%|██████▋   | 24/36 [00:00<00:00, 44.36it/s]
+Epoch 543/1000:  83%|████████▎ | 30/36 [00:00<00:00, 47.71it/s]
+Epoch 543/1000: 100%|██████████| 36/36 [00:01<00:00, 35.95it/s]
+epoch: 542, beta = 0.004900, Train MSE: 0.000661, Train CE:0.000003, Train KL:1.060284, Val MSE:0.000710, Val CE:0.000030, Train ACC:1.000000, Val ACC:0.999972
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 544/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+
+Epoch 544/1000:   3%|▎         | 1/36 [00:00<00:14,  2.40it/s]
+Epoch 544/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.08it/s]
+Epoch 544/1000:  31%|███       | 11/36 [00:00<00:01, 22.74it/s]
+Epoch 544/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.24it/s]
+Epoch 544/1000:  64%|██████▍   | 23/36 [00:00<00:00, 37.48it/s]
+Epoch 544/1000:  78%|███████▊  | 28/36 [00:00<00:00, 40.73it/s]
+Epoch 544/1000:  94%|█████████▍| 34/36 [00:01<00:00, 44.34it/s]
+Epoch 544/1000: 100%|██████████| 36/36 [00:01<00:00, 30.39it/s]
+epoch: 543, beta = 0.004900, Train MSE: 0.000664, Train CE:0.000004, Train KL:1.061441, Val MSE:0.000609, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 545/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 545/1000:   3%|▎         | 1/36 [00:00<00:13,  2.54it/s]
+Epoch 545/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.96it/s]
+Epoch 545/1000:  31%|███       | 11/36 [00:00<00:01, 23.45it/s]
+Epoch 545/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.04it/s]
+Epoch 545/1000:  61%|██████    | 22/36 [00:00<00:00, 38.13it/s]
+Epoch 545/1000:  75%|███████▌  | 27/36 [00:00<00:00, 40.26it/s]
+Epoch 545/1000:  92%|█████████▏| 33/36 [00:01<00:00, 44.60it/s]
+Epoch 545/1000: 100%|██████████| 36/36 [00:01<00:00, 29.86it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 546/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 544, beta = 0.004900, Train MSE: 0.000648, Train CE:0.000013, Train KL:1.071800, Val MSE:0.000607, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 546/1000:   3%|▎         | 1/36 [00:00<00:12,  2.76it/s]
+Epoch 546/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.52it/s]
+Epoch 546/1000:  36%|███▌      | 13/36 [00:00<00:00, 29.71it/s]
+Epoch 546/1000:  56%|█████▌    | 20/36 [00:00<00:00, 39.17it/s]
+Epoch 546/1000:  75%|███████▌  | 27/36 [00:00<00:00, 45.89it/s]
+Epoch 546/1000:  92%|█████████▏| 33/36 [00:00<00:00, 48.06it/s]
+Epoch 546/1000: 100%|██████████| 36/36 [00:01<00:00, 33.38it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 547/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 547/1000:   3%|▎         | 1/36 [00:00<00:13,  2.64it/s]
+Epoch 547/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.39it/s]
+Epoch 547/1000:  31%|███       | 11/36 [00:00<00:01, 24.02it/s]
+Epoch 547/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.85it/s]
+Epoch 547/1000:  61%|██████    | 22/36 [00:00<00:00, 37.48it/s]
+Epoch 547/1000:  75%|███████▌  | 27/36 [00:00<00:00, 40.46it/s]
+Epoch 547/1000:  94%|█████████▍| 34/36 [00:01<00:00, 48.24it/s]
+Epoch 547/1000: 100%|██████████| 36/36 [00:01<00:00, 31.01it/s]
+epoch: 546, beta = 0.004900, Train MSE: 0.000606, Train CE:0.000063, Train KL:1.072583, Val MSE:0.000614, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 548/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 548/1000:   3%|▎         | 1/36 [00:00<00:12,  2.75it/s]
+Epoch 548/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.37it/s]
+Epoch 548/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.45it/s]
+Epoch 548/1000:  50%|█████     | 18/36 [00:00<00:00, 33.68it/s]
+Epoch 548/1000:  67%|██████▋   | 24/36 [00:00<00:00, 39.32it/s]
+Epoch 548/1000:  81%|████████  | 29/36 [00:00<00:00, 41.33it/s]
+Epoch 548/1000: 100%|██████████| 36/36 [00:01<00:00, 48.30it/s]
+Epoch 548/1000: 100%|██████████| 36/36 [00:01<00:00, 32.37it/s]
+epoch: 547, beta = 0.004900, Train MSE: 0.000669, Train CE:0.000001, Train KL:1.059268, Val MSE:0.000822, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 549/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 549/1000:   3%|▎         | 1/36 [00:00<00:13,  2.56it/s]
+Epoch 549/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.21it/s]
+Epoch 549/1000:  31%|███       | 11/36 [00:00<00:01, 24.16it/s]
+Epoch 549/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.57it/s]
+Epoch 549/1000:  61%|██████    | 22/36 [00:00<00:00, 37.86it/s]
+Epoch 549/1000:  75%|███████▌  | 27/36 [00:00<00:00, 41.18it/s]
+Epoch 549/1000:  92%|█████████▏| 33/36 [00:01<00:00, 46.51it/s]
+Epoch 549/1000: 100%|██████████| 36/36 [00:01<00:00, 31.69it/s]
+epoch: 548, beta = 0.004900, Train MSE: 0.000648, Train CE:0.000004, Train KL:1.058976, Val MSE:0.000658, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 550/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 550/1000:   3%|▎         | 1/36 [00:00<00:13,  2.56it/s]
+Epoch 550/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.36it/s]
+Epoch 550/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.35it/s]
+Epoch 550/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.01it/s]
+Epoch 550/1000:  61%|██████    | 22/36 [00:00<00:00, 36.83it/s]
+Epoch 550/1000:  78%|███████▊  | 28/36 [00:00<00:00, 41.34it/s]
+Epoch 550/1000: 100%|██████████| 36/36 [00:01<00:00, 50.52it/s]
+Epoch 550/1000: 100%|██████████| 36/36 [00:01<00:00, 31.73it/s]
+epoch: 549, beta = 0.004900, Train MSE: 0.000654, Train CE:0.000008, Train KL:1.060213, Val MSE:0.000666, Val CE:0.000009, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 551/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 551/1000:   3%|▎         | 1/36 [00:00<00:17,  1.99it/s]
+Epoch 551/1000:  19%|█▉        | 7/36 [00:00<00:02, 14.45it/s]
+Epoch 551/1000:  31%|███       | 11/36 [00:00<00:01, 20.31it/s]
+Epoch 551/1000:  47%|████▋     | 17/36 [00:00<00:00, 29.80it/s]
+Epoch 551/1000:  64%|██████▍   | 23/36 [00:00<00:00, 36.97it/s]
+Epoch 551/1000:  83%|████████▎ | 30/36 [00:01<00:00, 45.34it/s]
+Epoch 551/1000: 100%|██████████| 36/36 [00:01<00:00, 47.21it/s]
+Epoch 551/1000: 100%|██████████| 36/36 [00:01<00:00, 28.54it/s]
+Learning rate updated: 8.099471081759274e-05
+epoch: 550, beta = 0.004900, Train MSE: 0.000648, Train CE:0.000003, Train KL:1.058001, Val MSE:0.000662, Val CE:0.000025, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 552/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 552/1000:   3%|▎         | 1/36 [00:00<00:13,  2.64it/s]
+Epoch 552/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.99it/s]
+Epoch 552/1000:  31%|███       | 11/36 [00:00<00:01, 23.64it/s]
+Epoch 552/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.03it/s]
+Epoch 552/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.68it/s]
+Epoch 552/1000:  83%|████████▎ | 30/36 [00:00<00:00, 47.86it/s]
+Epoch 552/1000: 100%|██████████| 36/36 [00:01<00:00, 47.06it/s]
+Epoch 552/1000: 100%|██████████| 36/36 [00:01<00:00, 30.75it/s]
+epoch: 551, beta = 0.004900, Train MSE: 0.000649, Train CE:0.000054, Train KL:1.054322, Val MSE:0.000662, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 553/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 553/1000:   3%|▎         | 1/36 [00:00<00:11,  3.01it/s]
+Epoch 553/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.05it/s]
+Epoch 553/1000:  31%|███       | 11/36 [00:00<00:00, 26.83it/s]
+Epoch 553/1000:  47%|████▋     | 17/36 [00:00<00:00, 35.07it/s]
+Epoch 553/1000:  64%|██████▍   | 23/36 [00:00<00:00, 41.23it/s]
+Epoch 553/1000:  81%|████████  | 29/36 [00:00<00:00, 45.53it/s]
+Epoch 553/1000:  97%|█████████▋| 35/36 [00:00<00:00, 48.81it/s]
+Epoch 553/1000: 100%|██████████| 36/36 [00:01<00:00, 33.37it/s]
+epoch: 552, beta = 0.004900, Train MSE: 0.000654, Train CE:0.000001, Train KL:1.067368, Val MSE:0.000610, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 554/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 554/1000:   3%|▎         | 1/36 [00:00<00:10,  3.23it/s]
+Epoch 554/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.69it/s]
+Epoch 554/1000:  33%|███▎      | 12/36 [00:00<00:00, 29.53it/s]
+Epoch 554/1000:  50%|█████     | 18/36 [00:00<00:00, 36.91it/s]
+Epoch 554/1000:  67%|██████▋   | 24/36 [00:00<00:00, 41.76it/s]
+Epoch 554/1000:  83%|████████▎ | 30/36 [00:00<00:00, 45.91it/s]
+Epoch 554/1000: 100%|██████████| 36/36 [00:01<00:00, 35.27it/s]
+epoch: 553, beta = 0.004900, Train MSE: 0.000621, Train CE:0.000002, Train KL:1.070138, Val MSE:0.000631, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 555/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+
+Epoch 555/1000:   3%|▎         | 1/36 [00:00<00:13,  2.64it/s]
+Epoch 555/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.24it/s]
+Epoch 555/1000:  31%|███       | 11/36 [00:00<00:01, 24.27it/s]
+Epoch 555/1000:  44%|████▍     | 16/36 [00:00<00:00, 31.30it/s]
+Epoch 555/1000:  61%|██████    | 22/36 [00:00<00:00, 37.57it/s]
+Epoch 555/1000:  78%|███████▊  | 28/36 [00:00<00:00, 43.11it/s]
+Epoch 555/1000:  97%|█████████▋| 35/36 [00:01<00:00, 48.46it/s]
+Epoch 555/1000: 100%|██████████| 36/36 [00:01<00:00, 30.66it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 556/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 554, beta = 0.004900, Train MSE: 0.000641, Train CE:0.000003, Train KL:1.064334, Val MSE:0.000621, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 556/1000:   3%|▎         | 1/36 [00:00<00:11,  2.98it/s]
+Epoch 556/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.71it/s]
+Epoch 556/1000:  33%|███▎      | 12/36 [00:00<00:00, 28.71it/s]
+Epoch 556/1000:  50%|█████     | 18/36 [00:00<00:00, 36.08it/s]
+Epoch 556/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.18it/s]
+Epoch 556/1000:  81%|████████  | 29/36 [00:00<00:00, 43.65it/s]
+Epoch 556/1000: 100%|██████████| 36/36 [00:00<00:00, 50.83it/s]
+Epoch 556/1000: 100%|██████████| 36/36 [00:01<00:00, 34.35it/s]
+epoch: 555, beta = 0.004900, Train MSE: 0.000664, Train CE:0.000001, Train KL:1.055749, Val MSE:0.000630, Val CE:0.000020, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 557/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 557/1000:   3%|▎         | 1/36 [00:00<00:10,  3.20it/s]
+Epoch 557/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.13it/s]
+Epoch 557/1000:  31%|███       | 11/36 [00:00<00:00, 26.44it/s]
+Epoch 557/1000:  42%|████▏     | 15/36 [00:00<00:00, 30.05it/s]
+Epoch 557/1000:  53%|█████▎    | 19/36 [00:00<00:00, 32.33it/s]
+Epoch 557/1000:  69%|██████▉   | 25/36 [00:00<00:00, 39.17it/s]
+Epoch 557/1000:  92%|█████████▏| 33/36 [00:00<00:00, 49.40it/s]
+Epoch 557/1000: 100%|██████████| 36/36 [00:01<00:00, 33.32it/s]
+epoch: 556, beta = 0.004900, Train MSE: 0.000625, Train CE:0.000024, Train KL:1.064018, Val MSE:0.000628, Val CE:0.000005, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 558/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 558/1000:   3%|▎         | 1/36 [00:00<00:14,  2.39it/s]
+Epoch 558/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.16it/s]
+Epoch 558/1000:  31%|███       | 11/36 [00:00<00:01, 23.34it/s]
+Epoch 558/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.98it/s]
+Epoch 558/1000:  61%|██████    | 22/36 [00:00<00:00, 34.47it/s]
+Epoch 558/1000:  78%|███████▊  | 28/36 [00:00<00:00, 39.21it/s]
+Epoch 558/1000:  97%|█████████▋| 35/36 [00:01<00:00, 45.78it/s]
+Epoch 558/1000: 100%|██████████| 36/36 [00:01<00:00, 30.05it/s]
+epoch: 557, beta = 0.004900, Train MSE: 0.000659, Train CE:0.000013, Train KL:1.060849, Val MSE:0.000648, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 559/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 559/1000:   3%|▎         | 1/36 [00:00<00:15,  2.30it/s]
+Epoch 559/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.10it/s]
+Epoch 559/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.70it/s]
+Epoch 559/1000:  50%|█████     | 18/36 [00:00<00:00, 33.27it/s]
+Epoch 559/1000:  69%|██████▉   | 25/36 [00:00<00:00, 42.71it/s]
+Epoch 559/1000:  89%|████████▉ | 32/36 [00:00<00:00, 49.06it/s]
+Epoch 559/1000: 100%|██████████| 36/36 [00:01<00:00, 32.68it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 560/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 558, beta = 0.004900, Train MSE: 0.000645, Train CE:0.000030, Train KL:1.060141, Val MSE:0.000654, Val CE:0.000188, Train ACC:1.000000, Val ACC:0.999972
+
+Epoch 560/1000:   3%|▎         | 1/36 [00:00<00:16,  2.13it/s]
+Epoch 560/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.00it/s]
+Epoch 560/1000:  31%|███       | 11/36 [00:00<00:01, 21.72it/s]
+Epoch 560/1000:  50%|█████     | 18/36 [00:00<00:00, 33.62it/s]
+Epoch 560/1000:  69%|██████▉   | 25/36 [00:00<00:00, 42.56it/s]
+Epoch 560/1000:  86%|████████▌ | 31/36 [00:01<00:00, 46.73it/s]
+Epoch 560/1000: 100%|██████████| 36/36 [00:01<00:00, 30.31it/s]
+epoch: 559, beta = 0.004900, Train MSE: 0.000625, Train CE:0.000022, Train KL:1.060580, Val MSE:0.000621, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 561/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 561/1000:   3%|▎         | 1/36 [00:00<00:12,  2.81it/s]
+Epoch 561/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.24it/s]
+Epoch 561/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.74it/s]
+Epoch 561/1000:  50%|█████     | 18/36 [00:00<00:00, 36.76it/s]
+Epoch 561/1000:  67%|██████▋   | 24/36 [00:00<00:00, 43.38it/s]
+Epoch 561/1000:  83%|████████▎ | 30/36 [00:00<00:00, 46.19it/s]
+Epoch 561/1000: 100%|██████████| 36/36 [00:01<00:00, 47.03it/s]
+Epoch 561/1000: 100%|██████████| 36/36 [00:01<00:00, 33.15it/s]
+epoch: 560, beta = 0.004900, Train MSE: 0.000623, Train CE:0.000012, Train KL:1.062807, Val MSE:0.000605, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 562/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 562/1000:   3%|▎         | 1/36 [00:00<00:13,  2.51it/s]
+Epoch 562/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.63it/s]
+Epoch 562/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.28it/s]
+Epoch 562/1000:  50%|█████     | 18/36 [00:00<00:00, 34.49it/s]
+Epoch 562/1000:  64%|██████▍   | 23/36 [00:00<00:00, 38.48it/s]
+Epoch 562/1000:  78%|███████▊  | 28/36 [00:00<00:00, 41.70it/s]
+Epoch 562/1000:  92%|█████████▏| 33/36 [00:01<00:00, 42.67it/s]
+Epoch 562/1000: 100%|██████████| 36/36 [00:01<00:00, 30.87it/s]
+Learning rate updated: 7.69449752767131e-05
+epoch: 561, beta = 0.004900, Train MSE: 0.000681, Train CE:0.000222, Train KL:1.062549, Val MSE:0.000639, Val CE:0.000177, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 563/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 563/1000:   3%|▎         | 1/36 [00:00<00:11,  2.97it/s]
+Epoch 563/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.27it/s]
+Epoch 563/1000:  36%|███▌      | 13/36 [00:00<00:00, 30.42it/s]
+Epoch 563/1000:  53%|█████▎    | 19/36 [00:00<00:00, 37.90it/s]
+Epoch 563/1000:  69%|██████▉   | 25/36 [00:00<00:00, 43.26it/s]
+Epoch 563/1000:  92%|█████████▏| 33/36 [00:00<00:00, 52.29it/s]
+Epoch 563/1000: 100%|██████████| 36/36 [00:00<00:00, 36.21it/s]
+epoch: 562, beta = 0.004900, Train MSE: 0.000674, Train CE:0.000001, Train KL:1.067617, Val MSE:0.000633, Val CE:0.000006, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 564/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 564/1000:   3%|▎         | 1/36 [00:00<00:12,  2.82it/s]
+Epoch 564/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.30it/s]
+Epoch 564/1000:  33%|███▎      | 12/36 [00:00<00:00, 28.02it/s]
+Epoch 564/1000:  50%|█████     | 18/36 [00:00<00:00, 36.11it/s]
+Epoch 564/1000:  67%|██████▋   | 24/36 [00:00<00:00, 40.82it/s]
+Epoch 564/1000:  83%|████████▎ | 30/36 [00:00<00:00, 44.70it/s]
+Epoch 564/1000: 100%|██████████| 36/36 [00:01<00:00, 47.22it/s]
+Epoch 564/1000: 100%|██████████| 36/36 [00:01<00:00, 33.28it/s]
+epoch: 563, beta = 0.004900, Train MSE: 0.000633, Train CE:0.000025, Train KL:1.068127, Val MSE:0.000623, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 565/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 565/1000:   3%|▎         | 1/36 [00:00<00:12,  2.82it/s]
+Epoch 565/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.22it/s]
+Epoch 565/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.00it/s]
+Epoch 565/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.28it/s]
+Epoch 565/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.04it/s]
+Epoch 565/1000:  81%|████████  | 29/36 [00:00<00:00, 42.62it/s]
+Epoch 565/1000:  97%|█████████▋| 35/36 [00:01<00:00, 46.14it/s]
+Epoch 565/1000: 100%|██████████| 36/36 [00:01<00:00, 32.45it/s]
+epoch: 564, beta = 0.004900, Train MSE: 0.000634, Train CE:0.000001, Train KL:1.062749, Val MSE:0.000629, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 566/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 566/1000:   3%|▎         | 1/36 [00:00<00:13,  2.68it/s]
+Epoch 566/1000:  22%|██▏       | 8/36 [00:00<00:01, 20.63it/s]
+Epoch 566/1000:  39%|███▉      | 14/36 [00:00<00:00, 30.83it/s]
+Epoch 566/1000:  53%|█████▎    | 19/36 [00:00<00:00, 35.34it/s]
+Epoch 566/1000:  69%|██████▉   | 25/36 [00:00<00:00, 40.53it/s]
+Epoch 566/1000:  86%|████████▌ | 31/36 [00:00<00:00, 44.12it/s]
+Epoch 566/1000: 100%|██████████| 36/36 [00:01<00:00, 45.02it/s]
+Epoch 566/1000: 100%|██████████| 36/36 [00:01<00:00, 30.96it/s]
+epoch: 565, beta = 0.004900, Train MSE: 0.000718, Train CE:0.000002, Train KL:1.059212, Val MSE:0.000680, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 567/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 567/1000:   3%|▎         | 1/36 [00:00<00:14,  2.43it/s]
+Epoch 567/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.54it/s]
+Epoch 567/1000:  36%|███▌      | 13/36 [00:00<00:00, 27.95it/s]
+Epoch 567/1000:  50%|█████     | 18/36 [00:00<00:00, 31.76it/s]
+Epoch 567/1000:  64%|██████▍   | 23/36 [00:00<00:00, 36.03it/s]
+Epoch 567/1000:  81%|████████  | 29/36 [00:00<00:00, 41.79it/s]
+Epoch 567/1000:  94%|█████████▍| 34/36 [00:01<00:00, 41.91it/s]
+Epoch 567/1000: 100%|██████████| 36/36 [00:01<00:00, 29.28it/s]
+epoch: 566, beta = 0.004900, Train MSE: 0.000629, Train CE:0.000028, Train KL:1.065018, Val MSE:0.000707, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 568/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 568/1000:   3%|▎         | 1/36 [00:00<00:17,  2.06it/s]
+Epoch 568/1000:  17%|█▋        | 6/36 [00:00<00:02, 12.64it/s]
+Epoch 568/1000:  31%|███       | 11/36 [00:00<00:01, 21.23it/s]
+Epoch 568/1000:  42%|████▏     | 15/36 [00:00<00:00, 25.20it/s]
+Epoch 568/1000:  53%|█████▎    | 19/36 [00:00<00:00, 29.02it/s]
+Epoch 568/1000:  67%|██████▋   | 24/36 [00:01<00:00, 32.97it/s]
+Epoch 568/1000:  78%|███████▊  | 28/36 [00:01<00:00, 33.99it/s]
+Epoch 568/1000:  92%|█████████▏| 33/36 [00:01<00:00, 36.57it/s]
+Epoch 568/1000: 100%|██████████| 36/36 [00:01<00:00, 25.73it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 569/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 567, beta = 0.004900, Train MSE: 0.000634, Train CE:0.000003, Train KL:1.061448, Val MSE:0.000752, Val CE:0.000069, Train ACC:1.000000, Val ACC:0.999972
+
+Epoch 569/1000:   3%|▎         | 1/36 [00:00<00:22,  1.56it/s]
+Epoch 569/1000:  17%|█▋        | 6/36 [00:00<00:02, 10.31it/s]
+Epoch 569/1000:  33%|███▎      | 12/36 [00:00<00:01, 20.19it/s]
+Epoch 569/1000:  47%|████▋     | 17/36 [00:01<00:00, 24.18it/s]
+Epoch 569/1000:  58%|█████▊    | 21/36 [00:01<00:00, 27.12it/s]
+Epoch 569/1000:  72%|███████▏  | 26/36 [00:01<00:00, 31.62it/s]
+Epoch 569/1000:  86%|████████▌ | 31/36 [00:01<00:00, 35.94it/s]
+Epoch 569/1000: 100%|██████████| 36/36 [00:01<00:00, 38.05it/s]
+Epoch 569/1000: 100%|██████████| 36/36 [00:01<00:00, 23.27it/s]
+epoch: 568, beta = 0.004900, Train MSE: 0.000754, Train CE:0.000111, Train KL:1.059300, Val MSE:0.000764, Val CE:0.000009, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 570/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 570/1000:   3%|▎         | 1/36 [00:00<00:19,  1.81it/s]
+Epoch 570/1000:  19%|█▉        | 7/36 [00:00<00:02, 13.42it/s]
+Epoch 570/1000:  33%|███▎      | 12/36 [00:00<00:01, 20.72it/s]
+Epoch 570/1000:  47%|████▋     | 17/36 [00:00<00:00, 27.47it/s]
+Epoch 570/1000:  61%|██████    | 22/36 [00:01<00:00, 31.86it/s]
+Epoch 570/1000:  75%|███████▌  | 27/36 [00:01<00:00, 35.98it/s]
+Epoch 570/1000:  92%|█████████▏| 33/36 [00:01<00:00, 40.95it/s]
+Epoch 570/1000: 100%|██████████| 36/36 [00:01<00:00, 26.57it/s]
+epoch: 569, beta = 0.004900, Train MSE: 0.000683, Train CE:0.000001, Train KL:1.068822, Val MSE:0.000664, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 571/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 571/1000:   3%|▎         | 1/36 [00:00<00:12,  2.90it/s]
+Epoch 571/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.67it/s]
+Epoch 571/1000:  36%|███▌      | 13/36 [00:00<00:00, 29.55it/s]
+Epoch 571/1000:  53%|█████▎    | 19/36 [00:00<00:00, 36.99it/s]
+Epoch 571/1000:  69%|██████▉   | 25/36 [00:00<00:00, 42.07it/s]
+Epoch 571/1000:  86%|████████▌ | 31/36 [00:00<00:00, 45.98it/s]
+Epoch 571/1000: 100%|██████████| 36/36 [00:01<00:00, 34.44it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]epoch: 570, beta = 0.004900, Train MSE: 0.000672, Train CE:0.000001, Train KL:1.065337, Val MSE:0.000638, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 572/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 572/1000:   3%|▎         | 1/36 [00:00<00:10,  3.28it/s]
+Epoch 572/1000:  19%|█▉        | 7/36 [00:00<00:01, 20.79it/s]
+Epoch 572/1000:  33%|███▎      | 12/36 [00:00<00:00, 28.88it/s]
+Epoch 572/1000:  50%|█████     | 18/36 [00:00<00:00, 36.46it/s]
+Epoch 572/1000:  67%|██████▋   | 24/36 [00:00<00:00, 42.41it/s]
+Epoch 572/1000:  86%|████████▌ | 31/36 [00:00<00:00, 47.91it/s]
+Epoch 572/1000: 100%|██████████| 36/36 [00:01<00:00, 34.96it/s]
+epoch: 571, beta = 0.004900, Train MSE: 0.000625, Train CE:0.000001, Train KL:1.060268, Val MSE:0.000670, Val CE:0.000014, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 573/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 573/1000:   3%|▎         | 1/36 [00:00<00:16,  2.13it/s]
+Epoch 573/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.11it/s]
+Epoch 573/1000:  33%|███▎      | 12/36 [00:00<00:01, 23.59it/s]
+Epoch 573/1000:  47%|████▋     | 17/36 [00:00<00:00, 28.86it/s]
+Epoch 573/1000:  64%|██████▍   | 23/36 [00:00<00:00, 35.16it/s]
+Epoch 573/1000:  81%|████████  | 29/36 [00:01<00:00, 40.23it/s]
+Epoch 573/1000:  97%|█████████▋| 35/36 [00:01<00:00, 45.20it/s]
+Epoch 573/1000: 100%|██████████| 36/36 [00:01<00:00, 28.74it/s]
+Learning rate updated: 7.309772651287744e-05
+epoch: 572, beta = 0.004900, Train MSE: 0.000735, Train CE:0.000033, Train KL:1.051884, Val MSE:0.000681, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 574/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 574/1000:   3%|▎         | 1/36 [00:00<00:12,  2.74it/s]
+Epoch 574/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.59it/s]
+Epoch 574/1000:  31%|███       | 11/36 [00:00<00:01, 24.00it/s]
+Epoch 574/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.80it/s]
+Epoch 574/1000:  61%|██████    | 22/36 [00:00<00:00, 36.71it/s]
+Epoch 574/1000:  78%|███████▊  | 28/36 [00:00<00:00, 42.69it/s]
+Epoch 574/1000:  94%|█████████▍| 34/36 [00:01<00:00, 46.54it/s]
+Epoch 574/1000: 100%|██████████| 36/36 [00:01<00:00, 31.04it/s]
+epoch: 573, beta = 0.004900, Train MSE: 0.000736, Train CE:0.000047, Train KL:1.058258, Val MSE:0.000787, Val CE:0.000007, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 575/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 575/1000:   3%|▎         | 1/36 [00:00<00:14,  2.48it/s]
+Epoch 575/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.39it/s]
+Epoch 575/1000:  31%|███       | 11/36 [00:00<00:01, 23.66it/s]
+Epoch 575/1000:  44%|████▍     | 16/36 [00:00<00:00, 29.85it/s]
+Epoch 575/1000:  58%|█████▊    | 21/36 [00:00<00:00, 34.62it/s]
+Epoch 575/1000:  75%|███████▌  | 27/36 [00:00<00:00, 41.59it/s]
+Epoch 575/1000:  94%|█████████▍| 34/36 [00:01<00:00, 47.89it/s]
+Epoch 575/1000: 100%|██████████| 36/36 [00:01<00:00, 31.09it/s]
+epoch: 574, beta = 0.004900, Train MSE: 0.000593, Train CE:0.000005, Train KL:1.073279, Val MSE:0.000607, Val CE:0.000009, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 576/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 576/1000:   3%|▎         | 1/36 [00:00<00:16,  2.18it/s]
+Epoch 576/1000:  19%|█▉        | 7/36 [00:00<00:01, 15.28it/s]
+Epoch 576/1000:  33%|███▎      | 12/36 [00:00<00:01, 23.74it/s]
+Epoch 576/1000:  50%|█████     | 18/36 [00:00<00:00, 31.38it/s]
+Epoch 576/1000:  67%|██████▋   | 24/36 [00:00<00:00, 37.51it/s]
+Epoch 576/1000:  86%|████████▌ | 31/36 [00:01<00:00, 44.73it/s]
+Epoch 576/1000: 100%|██████████| 36/36 [00:01<00:00, 30.25it/s]
+epoch: 575, beta = 0.004900, Train MSE: 0.000604, Train CE:0.000002, Train KL:1.069180, Val MSE:0.000643, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 577/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 577/1000:   3%|▎         | 1/36 [00:00<00:13,  2.61it/s]
+Epoch 577/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.79it/s]
+Epoch 577/1000:  31%|███       | 11/36 [00:00<00:01, 23.47it/s]
+Epoch 577/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.49it/s]
+Epoch 577/1000:  61%|██████    | 22/36 [00:00<00:00, 37.43it/s]
+Epoch 577/1000:  78%|███████▊  | 28/36 [00:00<00:00, 43.37it/s]
+Epoch 577/1000:  97%|█████████▋| 35/36 [00:01<00:00, 49.68it/s]
+Epoch 577/1000: 100%|██████████| 36/36 [00:01<00:00, 31.36it/s]
+epoch: 576, beta = 0.004900, Train MSE: 0.000680, Train CE:0.000006, Train KL:1.061096, Val MSE:0.000724, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 578/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 578/1000:   3%|▎         | 1/36 [00:00<00:14,  2.45it/s]
+Epoch 578/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.74it/s]
+Epoch 578/1000:  28%|██▊       | 10/36 [00:00<00:01, 20.94it/s]
+Epoch 578/1000:  42%|████▏     | 15/36 [00:00<00:00, 27.72it/s]
+Epoch 578/1000:  56%|█████▌    | 20/36 [00:00<00:00, 31.86it/s]
+Epoch 578/1000:  67%|██████▋   | 24/36 [00:00<00:00, 33.72it/s]
+Epoch 578/1000:  81%|████████  | 29/36 [00:01<00:00, 37.54it/s]
+Epoch 578/1000:  97%|█████████▋| 35/36 [00:01<00:00, 43.58it/s]
+Epoch 578/1000: 100%|██████████| 36/36 [00:01<00:00, 28.09it/s]
+epoch: 577, beta = 0.004900, Train MSE: 0.000616, Train CE:0.000004, Train KL:1.062298, Val MSE:0.000626, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 579/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 579/1000:   3%|▎         | 1/36 [00:00<00:12,  2.85it/s]
+Epoch 579/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.28it/s]
+Epoch 579/1000:  36%|███▌      | 13/36 [00:00<00:00, 30.41it/s]
+Epoch 579/1000:  53%|█████▎    | 19/36 [00:00<00:00, 38.84it/s]
+Epoch 579/1000:  69%|██████▉   | 25/36 [00:00<00:00, 43.50it/s]
+Epoch 579/1000:  86%|████████▌ | 31/36 [00:00<00:00, 45.59it/s]
+Epoch 579/1000: 100%|██████████| 36/36 [00:01<00:00, 34.35it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 580/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 580/1000:   3%|▎         | 1/36 [00:00<00:12,  2.80it/s]
+Epoch 580/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.90it/s]
+Epoch 580/1000:  36%|███▌      | 13/36 [00:00<00:00, 29.94it/s]
+Epoch 580/1000:  56%|█████▌    | 20/36 [00:00<00:00, 41.26it/s]
+Epoch 580/1000:  75%|███████▌  | 27/36 [00:00<00:00, 47.88it/s]
+Epoch 580/1000:  94%|█████████▍| 34/36 [00:00<00:00, 52.52it/s]
+Epoch 580/1000: 100%|██████████| 36/36 [00:00<00:00, 36.47it/s]
+epoch: 579, beta = 0.004900, Train MSE: 0.000605, Train CE:0.000001, Train KL:1.080096, Val MSE:0.000588, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 581/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 581/1000:   3%|▎         | 1/36 [00:00<00:13,  2.61it/s]
+Epoch 581/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.49it/s]
+Epoch 581/1000:  31%|███       | 11/36 [00:00<00:01, 24.99it/s]
+Epoch 581/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.93it/s]
+Epoch 581/1000:  67%|██████▋   | 24/36 [00:00<00:00, 41.66it/s]
+Epoch 581/1000:  81%|████████  | 29/36 [00:00<00:00, 43.87it/s]
+Epoch 581/1000:  97%|█████████▋| 35/36 [00:01<00:00, 45.69it/s]
+Epoch 581/1000: 100%|██████████| 36/36 [00:01<00:00, 31.22it/s]
+epoch: 580, beta = 0.004900, Train MSE: 0.000591, Train CE:0.000008, Train KL:1.066942, Val MSE:0.000680, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 582/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 582/1000:   3%|▎         | 1/36 [00:00<00:13,  2.63it/s]
+Epoch 582/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.91it/s]
+Epoch 582/1000:  31%|███       | 11/36 [00:00<00:01, 24.43it/s]
+Epoch 582/1000:  44%|████▍     | 16/36 [00:00<00:00, 31.24it/s]
+Epoch 582/1000:  61%|██████    | 22/36 [00:00<00:00, 37.42it/s]
+Epoch 582/1000:  75%|███████▌  | 27/36 [00:00<00:00, 40.80it/s]
+Epoch 582/1000:  89%|████████▉ | 32/36 [00:01<00:00, 43.22it/s]
+Epoch 582/1000: 100%|██████████| 36/36 [00:01<00:00, 29.84it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 583/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 583/1000:   3%|▎         | 1/36 [00:00<00:16,  2.16it/s]
+Epoch 583/1000:  14%|█▍        | 5/36 [00:00<00:02, 10.84it/s]
+Epoch 583/1000:  31%|███       | 11/36 [00:00<00:01, 22.80it/s]
+Epoch 583/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.57it/s]
+Epoch 583/1000:  64%|██████▍   | 23/36 [00:00<00:00, 36.97it/s]
+Epoch 583/1000:  78%|███████▊  | 28/36 [00:01<00:00, 39.48it/s]
+Epoch 583/1000:  94%|█████████▍| 34/36 [00:01<00:00, 42.70it/s]
+Epoch 583/1000: 100%|██████████| 36/36 [00:01<00:00, 28.67it/s]
+epoch: 582, beta = 0.004900, Train MSE: 0.000741, Train CE:0.000007, Train KL:1.052156, Val MSE:0.000711, Val CE:0.000005, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 584/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 584/1000:   3%|▎         | 1/36 [00:00<00:11,  2.94it/s]
+Epoch 584/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.29it/s]
+Epoch 584/1000:  31%|███       | 11/36 [00:00<00:00, 25.12it/s]
+Epoch 584/1000:  50%|█████     | 18/36 [00:00<00:00, 35.43it/s]
+Epoch 584/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.10it/s]
+Epoch 584/1000:  78%|███████▊  | 28/36 [00:00<00:00, 41.46it/s]
+Epoch 584/1000:  94%|█████████▍| 34/36 [00:01<00:00, 46.19it/s]
+Epoch 584/1000: 100%|██████████| 36/36 [00:01<00:00, 32.46it/s]
+Learning rate updated: 6.944284018723356e-05
+epoch: 583, beta = 0.004900, Train MSE: 0.000713, Train CE:0.000012, Train KL:1.075542, Val MSE:0.000658, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 585/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 585/1000:   3%|▎         | 1/36 [00:00<00:11,  2.95it/s]
+Epoch 585/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.48it/s]
+Epoch 585/1000:  39%|███▉      | 14/36 [00:00<00:00, 33.82it/s]
+Epoch 585/1000:  53%|█████▎    | 19/36 [00:00<00:00, 36.99it/s]
+Epoch 585/1000:  67%|██████▋   | 24/36 [00:00<00:00, 40.28it/s]
+Epoch 585/1000:  81%|████████  | 29/36 [00:00<00:00, 42.96it/s]
+Epoch 585/1000:  97%|█████████▋| 35/36 [00:00<00:00, 46.13it/s]
+Epoch 585/1000: 100%|██████████| 36/36 [00:01<00:00, 33.37it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 586/1000:   3%|▎         | 1/36 [00:00<00:13,  2.61it/s]
+Epoch 586/1000:  22%|██▏       | 8/36 [00:00<00:01, 20.42it/s]
+Epoch 586/1000:  39%|███▉      | 14/36 [00:00<00:00, 29.58it/s]
+Epoch 586/1000:  53%|█████▎    | 19/36 [00:00<00:00, 34.73it/s]
+Epoch 586/1000:  67%|██████▋   | 24/36 [00:00<00:00, 38.53it/s]
+Epoch 586/1000:  81%|████████  | 29/36 [00:00<00:00, 41.56it/s]
+Epoch 586/1000:  94%|█████████▍| 34/36 [00:01<00:00, 42.88it/s]
+Epoch 586/1000: 100%|██████████| 36/36 [00:01<00:00, 31.16it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 587/1000:   3%|▎         | 1/36 [00:00<00:17,  1.98it/s]
+Epoch 587/1000:  17%|█▋        | 6/36 [00:00<00:02, 12.24it/s]
+Epoch 587/1000:  36%|███▌      | 13/36 [00:00<00:00, 24.58it/s]
+Epoch 587/1000:  50%|█████     | 18/36 [00:00<00:00, 30.28it/s]
+Epoch 587/1000:  67%|██████▋   | 24/36 [00:00<00:00, 36.44it/s]
+Epoch 587/1000:  83%|████████▎ | 30/36 [00:01<00:00, 40.50it/s]
+Epoch 587/1000:  97%|█████████▋| 35/36 [00:01<00:00, 42.11it/s]
+Epoch 587/1000: 100%|██████████| 36/36 [00:01<00:00, 28.22it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 588/1000:   3%|▎         | 1/36 [00:00<00:14,  2.40it/s]
+Epoch 588/1000:  22%|██▏       | 8/36 [00:00<00:01, 18.74it/s]
+Epoch 588/1000:  36%|███▌      | 13/36 [00:00<00:00, 26.06it/s]
+Epoch 588/1000:  53%|█████▎    | 19/36 [00:00<00:00, 32.90it/s]
+Epoch 588/1000:  67%|██████▋   | 24/36 [00:00<00:00, 36.78it/s]
+Epoch 588/1000:  81%|████████  | 29/36 [00:00<00:00, 38.14it/s]
+Epoch 588/1000:  97%|█████████▋| 35/36 [00:01<00:00, 42.53it/s]
+Epoch 588/1000: 100%|██████████| 36/36 [00:01<00:00, 30.22it/s]
+epoch: 587, beta = 0.004900, Train MSE: 0.000632, Train CE:0.000009, Train KL:1.061835, Val MSE:0.000617, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 589/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 589/1000:   3%|▎         | 1/36 [00:00<00:14,  2.44it/s]
+Epoch 589/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.44it/s]
+Epoch 589/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.01it/s]
+Epoch 589/1000:  39%|███▉      | 14/36 [00:00<00:00, 25.81it/s]
+Epoch 589/1000:  56%|█████▌    | 20/36 [00:00<00:00, 33.86it/s]
+Epoch 589/1000:  69%|██████▉   | 25/36 [00:00<00:00, 38.29it/s]
+Epoch 589/1000:  89%|████████▉ | 32/36 [00:01<00:00, 46.02it/s]
+Epoch 589/1000: 100%|██████████| 36/36 [00:01<00:00, 30.30it/s]
+epoch: 588, beta = 0.004900, Train MSE: 0.000646, Train CE:0.000002, Train KL:1.058133, Val MSE:0.000620, Val CE:0.000184, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 590/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 590/1000:   3%|▎         | 1/36 [00:00<00:13,  2.54it/s]
+Epoch 590/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.01it/s]
+Epoch 590/1000:  31%|███       | 11/36 [00:00<00:01, 24.37it/s]
+Epoch 590/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.98it/s]
+Epoch 590/1000:  61%|██████    | 22/36 [00:00<00:00, 37.23it/s]
+Epoch 590/1000:  78%|███████▊  | 28/36 [00:00<00:00, 41.11it/s]
+Epoch 590/1000:  94%|█████████▍| 34/36 [00:01<00:00, 43.96it/s]
+Epoch 590/1000: 100%|██████████| 36/36 [00:01<00:00, 31.13it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 591/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 591/1000:   3%|▎         | 1/36 [00:00<00:17,  1.99it/s]
+Epoch 591/1000:  19%|█▉        | 7/36 [00:00<00:02, 14.48it/s]
+Epoch 591/1000:  33%|███▎      | 12/36 [00:00<00:01, 22.39it/s]
+Epoch 591/1000:  47%|████▋     | 17/36 [00:00<00:00, 28.52it/s]
+Epoch 591/1000:  64%|██████▍   | 23/36 [00:00<00:00, 35.09it/s]
+Epoch 591/1000:  81%|████████  | 29/36 [00:01<00:00, 40.09it/s]
+Epoch 591/1000:  97%|█████████▋| 35/36 [00:01<00:00, 44.41it/s]
+Epoch 591/1000: 100%|██████████| 36/36 [00:01<00:00, 27.55it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 592/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 590, beta = 0.004900, Train MSE: 0.000649, Train CE:0.000001, Train KL:1.052527, Val MSE:0.000721, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 592/1000:   3%|▎         | 1/36 [00:00<00:15,  2.29it/s]
+Epoch 592/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.57it/s]
+Epoch 592/1000:  28%|██▊       | 10/36 [00:00<00:01, 20.99it/s]
+Epoch 592/1000:  42%|████▏     | 15/36 [00:00<00:00, 27.73it/s]
+Epoch 592/1000:  56%|█████▌    | 20/36 [00:00<00:00, 32.39it/s]
+Epoch 592/1000:  69%|██████▉   | 25/36 [00:00<00:00, 36.73it/s]
+Epoch 592/1000:  83%|████████▎ | 30/36 [00:01<00:00, 40.31it/s]
+Epoch 592/1000:  97%|█████████▋| 35/36 [00:01<00:00, 39.65it/s]
+Epoch 592/1000: 100%|██████████| 36/36 [00:01<00:00, 27.76it/s]
+epoch: 591, beta = 0.004900, Train MSE: 0.000650, Train CE:0.000001, Train KL:1.051147, Val MSE:0.000662, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 593/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 593/1000:   3%|▎         | 1/36 [00:00<00:16,  2.12it/s]
+Epoch 593/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.08it/s]
+Epoch 593/1000:  33%|███▎      | 12/36 [00:00<00:01, 23.79it/s]
+Epoch 593/1000:  47%|████▋     | 17/36 [00:00<00:00, 29.52it/s]
+Epoch 593/1000:  64%|██████▍   | 23/36 [00:00<00:00, 35.92it/s]
+Epoch 593/1000:  78%|███████▊  | 28/36 [00:01<00:00, 39.43it/s]
+Epoch 593/1000:  97%|█████████▋| 35/36 [00:01<00:00, 46.40it/s]
+Epoch 593/1000: 100%|██████████| 36/36 [00:01<00:00, 28.94it/s]
+epoch: 592, beta = 0.004900, Train MSE: 0.000722, Train CE:0.000046, Train KL:1.054819, Val MSE:0.000652, Val CE:0.000044, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 594/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 594/1000:   3%|▎         | 1/36 [00:00<00:13,  2.64it/s]
+Epoch 594/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.48it/s]
+Epoch 594/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.08it/s]
+Epoch 594/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.86it/s]
+Epoch 594/1000:  61%|██████    | 22/36 [00:00<00:00, 36.23it/s]
+Epoch 594/1000:  78%|███████▊  | 28/36 [00:00<00:00, 41.66it/s]
+Epoch 594/1000:  94%|█████████▍| 34/36 [00:01<00:00, 44.97it/s]
+Epoch 594/1000: 100%|██████████| 36/36 [00:01<00:00, 31.36it/s]
+epoch: 593, beta = 0.004900, Train MSE: 0.000669, Train CE:0.000002, Train KL:1.058998, Val MSE:0.000614, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 595/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 595/1000:   3%|▎         | 1/36 [00:00<00:14,  2.50it/s]
+Epoch 595/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.22it/s]
+Epoch 595/1000:  31%|███       | 11/36 [00:00<00:01, 24.34it/s]
+Epoch 595/1000:  42%|████▏     | 15/36 [00:00<00:00, 28.26it/s]
+Epoch 595/1000:  61%|██████    | 22/36 [00:00<00:00, 38.73it/s]
+Epoch 595/1000:  78%|███████▊  | 28/36 [00:00<00:00, 43.79it/s]
+Epoch 595/1000:  94%|█████████▍| 34/36 [00:01<00:00, 47.40it/s]
+Epoch 595/1000: 100%|██████████| 36/36 [00:01<00:00, 30.52it/s]
+Learning rate updated: 6.597069817787189e-05
+epoch: 594, beta = 0.004900, Train MSE: 0.000617, Train CE:0.000006, Train KL:1.060150, Val MSE:0.000719, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 596/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 596/1000:   3%|▎         | 1/36 [00:00<00:12,  2.81it/s]
+Epoch 596/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.31it/s]
+Epoch 596/1000:  31%|███       | 11/36 [00:00<00:00, 26.01it/s]
+Epoch 596/1000:  47%|████▋     | 17/36 [00:00<00:00, 35.05it/s]
+Epoch 596/1000:  67%|██████▋   | 24/36 [00:00<00:00, 43.09it/s]
+Epoch 596/1000:  83%|████████▎ | 30/36 [00:00<00:00, 47.36it/s]
+Epoch 596/1000: 100%|██████████| 36/36 [00:01<00:00, 47.37it/s]
+Epoch 596/1000: 100%|██████████| 36/36 [00:01<00:00, 33.32it/s]
+epoch: 595, beta = 0.004900, Train MSE: 0.000680, Train CE:0.000001, Train KL:1.054290, Val MSE:0.000703, Val CE:0.000006, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 597/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 597/1000:   3%|▎         | 1/36 [00:00<00:13,  2.56it/s]
+Epoch 597/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.26it/s]
+Epoch 597/1000:  36%|███▌      | 13/36 [00:00<00:00, 29.26it/s]
+Epoch 597/1000:  53%|█████▎    | 19/36 [00:00<00:00, 37.58it/s]
+Epoch 597/1000:  69%|██████▉   | 25/36 [00:00<00:00, 42.78it/s]
+Epoch 597/1000:  86%|████████▌ | 31/36 [00:00<00:00, 45.53it/s]
+Epoch 597/1000: 100%|██████████| 36/36 [00:01<00:00, 32.71it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 598/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 596, beta = 0.004900, Train MSE: 0.000639, Train CE:0.000001, Train KL:1.054870, Val MSE:0.000641, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 598/1000:   3%|▎         | 1/36 [00:00<00:13,  2.69it/s]
+Epoch 598/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.40it/s]
+Epoch 598/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.04it/s]
+Epoch 598/1000:  50%|█████     | 18/36 [00:00<00:00, 35.02it/s]
+Epoch 598/1000:  64%|██████▍   | 23/36 [00:00<00:00, 38.77it/s]
+Epoch 598/1000:  81%|████████  | 29/36 [00:00<00:00, 43.11it/s]
+Epoch 598/1000:  97%|█████████▋| 35/36 [00:01<00:00, 45.83it/s]
+Epoch 598/1000: 100%|██████████| 36/36 [00:01<00:00, 32.14it/s]
+epoch: 597, beta = 0.004900, Train MSE: 0.000732, Train CE:0.000005, Train KL:1.061700, Val MSE:0.000645, Val CE:0.000068, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 599/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 599/1000:   3%|▎         | 1/36 [00:00<00:11,  3.05it/s]
+Epoch 599/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.23it/s]
+Epoch 599/1000:  31%|███       | 11/36 [00:00<00:00, 26.45it/s]
+Epoch 599/1000:  44%|████▍     | 16/36 [00:00<00:00, 32.07it/s]
+Epoch 599/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.54it/s]
+Epoch 599/1000:  72%|███████▏  | 26/36 [00:00<00:00, 37.49it/s]
+Epoch 599/1000:  86%|████████▌ | 31/36 [00:01<00:00, 39.61it/s]
+Epoch 599/1000: 100%|██████████| 36/36 [00:01<00:00, 40.98it/s]
+Epoch 599/1000: 100%|██████████| 36/36 [00:01<00:00, 30.13it/s]
+epoch: 598, beta = 0.004900, Train MSE: 0.000616, Train CE:0.000005, Train KL:1.075562, Val MSE:0.000618, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 600/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 600/1000:   3%|▎         | 1/36 [00:00<00:11,  2.92it/s]
+Epoch 600/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.58it/s]
+Epoch 600/1000:  33%|███▎      | 12/36 [00:00<00:00, 28.63it/s]
+Epoch 600/1000:  47%|████▋     | 17/36 [00:00<00:00, 34.55it/s]
+Epoch 600/1000:  61%|██████    | 22/36 [00:00<00:00, 38.37it/s]
+Epoch 600/1000:  78%|███████▊  | 28/36 [00:00<00:00, 42.69it/s]
+Epoch 600/1000:  94%|█████████▍| 34/36 [00:00<00:00, 46.77it/s]
+Epoch 600/1000: 100%|██████████| 36/36 [00:01<00:00, 33.57it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 601/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 599, beta = 0.004900, Train MSE: 0.000627, Train CE:0.000013, Train KL:1.071028, Val MSE:0.000602, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 601/1000:   3%|▎         | 1/36 [00:00<00:12,  2.84it/s]
+Epoch 601/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.67it/s]
+Epoch 601/1000:  36%|███▌      | 13/36 [00:00<00:00, 30.01it/s]
+Epoch 601/1000:  50%|█████     | 18/36 [00:00<00:00, 35.69it/s]
+Epoch 601/1000:  67%|██████▋   | 24/36 [00:00<00:00, 42.15it/s]
+Epoch 601/1000:  83%|████████▎ | 30/36 [00:00<00:00, 44.69it/s]
+Epoch 601/1000: 100%|██████████| 36/36 [00:01<00:00, 48.13it/s]
+Epoch 601/1000: 100%|██████████| 36/36 [00:01<00:00, 33.08it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 602/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 600, beta = 0.004900, Train MSE: 0.000614, Train CE:0.000006, Train KL:1.072202, Val MSE:0.000596, Val CE:0.000328, Train ACC:1.000000, Val ACC:0.999972
+
+Epoch 602/1000:   3%|▎         | 1/36 [00:00<00:13,  2.65it/s]
+Epoch 602/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.81it/s]
+Epoch 602/1000:  31%|███       | 11/36 [00:00<00:01, 23.75it/s]
+Epoch 602/1000:  44%|████▍     | 16/36 [00:00<00:00, 29.93it/s]
+Epoch 602/1000:  61%|██████    | 22/36 [00:00<00:00, 36.58it/s]
+Epoch 602/1000:  78%|███████▊  | 28/36 [00:00<00:00, 39.77it/s]
+Epoch 602/1000:  92%|█████████▏| 33/36 [00:01<00:00, 42.33it/s]
+Epoch 602/1000: 100%|██████████| 36/36 [00:01<00:00, 30.08it/s]
+epoch: 601, beta = 0.004900, Train MSE: 0.000663, Train CE:0.000001, Train KL:1.069275, Val MSE:0.000589, Val CE:0.000028, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 603/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 603/1000:   3%|▎         | 1/36 [00:00<00:15,  2.24it/s]
+Epoch 603/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.27it/s]
+Epoch 603/1000:  31%|███       | 11/36 [00:00<00:01, 22.73it/s]
+Epoch 603/1000:  47%|████▋     | 17/36 [00:00<00:00, 30.95it/s]
+Epoch 603/1000:  64%|██████▍   | 23/36 [00:00<00:00, 36.77it/s]
+Epoch 603/1000:  81%|████████  | 29/36 [00:01<00:00, 42.12it/s]
+Epoch 603/1000:  94%|█████████▍| 34/36 [00:01<00:00, 42.91it/s]
+Epoch 603/1000: 100%|██████████| 36/36 [00:01<00:00, 29.16it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 604/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 602, beta = 0.004900, Train MSE: 0.000591, Train CE:0.000148, Train KL:1.072539, Val MSE:0.000585, Val CE:0.000005, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 604/1000:   3%|▎         | 1/36 [00:00<00:13,  2.64it/s]
+Epoch 604/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.83it/s]
+Epoch 604/1000:  31%|███       | 11/36 [00:00<00:01, 23.69it/s]
+Epoch 604/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.29it/s]
+Epoch 604/1000:  61%|██████    | 22/36 [00:00<00:00, 36.95it/s]
+Epoch 604/1000:  78%|███████▊  | 28/36 [00:00<00:00, 41.27it/s]
+Epoch 604/1000:  97%|█████████▋| 35/36 [00:01<00:00, 47.91it/s]
+Epoch 604/1000: 100%|██████████| 36/36 [00:01<00:00, 31.71it/s]
+epoch: 603, beta = 0.004900, Train MSE: 0.000582, Train CE:0.000002, Train KL:1.071745, Val MSE:0.000597, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 605/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 605/1000:   3%|▎         | 1/36 [00:00<00:13,  2.67it/s]
+Epoch 605/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.56it/s]
+Epoch 605/1000:  31%|███       | 11/36 [00:00<00:01, 24.37it/s]
+Epoch 605/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.86it/s]
+Epoch 605/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.25it/s]
+Epoch 605/1000:  81%|████████  | 29/36 [00:00<00:00, 43.53it/s]
+Epoch 605/1000: 100%|██████████| 36/36 [00:01<00:00, 49.37it/s]
+Epoch 605/1000: 100%|██████████| 36/36 [00:01<00:00, 31.45it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 606/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 604, beta = 0.004900, Train MSE: 0.000601, Train CE:0.000019, Train KL:1.063366, Val MSE:0.000606, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 606/1000:   3%|▎         | 1/36 [00:00<00:11,  3.01it/s]
+Epoch 606/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.51it/s]
+Epoch 606/1000:  33%|███▎      | 12/36 [00:00<00:00, 28.40it/s]
+Epoch 606/1000:  50%|█████     | 18/36 [00:00<00:00, 36.24it/s]
+Epoch 606/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.27it/s]
+Epoch 606/1000:  83%|████████▎ | 30/36 [00:00<00:00, 46.77it/s]
+Epoch 606/1000: 100%|██████████| 36/36 [00:01<00:00, 33.56it/s]
+Learning rate updated: 6.267216326897829e-05
+epoch: 605, beta = 0.004900, Train MSE: 0.000652, Train CE:0.000007, Train KL:1.060310, Val MSE:0.000626, Val CE:0.000006, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 607/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 607/1000:   3%|▎         | 1/36 [00:00<00:17,  1.99it/s]
+Epoch 607/1000:  19%|█▉        | 7/36 [00:00<00:02, 14.12it/s]
+Epoch 607/1000:  33%|███▎      | 12/36 [00:00<00:01, 21.51it/s]
+Epoch 607/1000:  47%|████▋     | 17/36 [00:00<00:00, 26.40it/s]
+Epoch 607/1000:  58%|█████▊    | 21/36 [00:00<00:00, 28.84it/s]
+Epoch 607/1000:  72%|███████▏  | 26/36 [00:01<00:00, 32.63it/s]
+Epoch 607/1000:  83%|████████▎ | 30/36 [00:01<00:00, 32.73it/s]
+Epoch 607/1000:  94%|█████████▍| 34/36 [00:01<00:00, 32.20it/s]
+Epoch 607/1000: 100%|██████████| 36/36 [00:01<00:00, 24.34it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 608/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 606, beta = 0.004900, Train MSE: 0.000573, Train CE:0.000068, Train KL:1.072617, Val MSE:0.000590, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 608/1000:   3%|▎         | 1/36 [00:00<00:13,  2.54it/s]
+Epoch 608/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.21it/s]
+Epoch 608/1000:  28%|██▊       | 10/36 [00:00<00:01, 22.22it/s]
+Epoch 608/1000:  44%|████▍     | 16/36 [00:00<00:00, 31.83it/s]
+Epoch 608/1000:  61%|██████    | 22/36 [00:00<00:00, 39.43it/s]
+Epoch 608/1000:  78%|███████▊  | 28/36 [00:00<00:00, 44.58it/s]
+Epoch 608/1000:  94%|█████████▍| 34/36 [00:01<00:00, 46.20it/s]
+Epoch 608/1000: 100%|██████████| 36/36 [00:01<00:00, 31.14it/s]
+epoch: 607, beta = 0.004900, Train MSE: 0.000593, Train CE:0.000009, Train KL:1.069690, Val MSE:0.000600, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 609/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 609/1000:   3%|▎         | 1/36 [00:00<00:13,  2.69it/s]
+Epoch 609/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.99it/s]
+Epoch 609/1000:  39%|███▉      | 14/36 [00:00<00:00, 32.06it/s]
+Epoch 609/1000:  61%|██████    | 22/36 [00:00<00:00, 43.18it/s]
+Epoch 609/1000:  78%|███████▊  | 28/36 [00:00<00:00, 43.71it/s]
+Epoch 609/1000:  94%|█████████▍| 34/36 [00:00<00:00, 44.86it/s]
+Epoch 609/1000: 100%|██████████| 36/36 [00:01<00:00, 33.11it/s]
+epoch: 608, beta = 0.004900, Train MSE: 0.000606, Train CE:0.000020, Train KL:1.066177, Val MSE:0.000595, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 610/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 610/1000:   3%|▎         | 1/36 [00:00<00:09,  3.67it/s]
+Epoch 610/1000:  19%|█▉        | 7/36 [00:00<00:01, 22.71it/s]
+Epoch 610/1000:  36%|███▌      | 13/36 [00:00<00:00, 34.85it/s]
+Epoch 610/1000:  53%|█████▎    | 19/36 [00:00<00:00, 41.75it/s]
+Epoch 610/1000:  72%|███████▏  | 26/36 [00:00<00:00, 48.35it/s]
+Epoch 610/1000:  89%|████████▉ | 32/36 [00:00<00:00, 50.19it/s]
+Epoch 610/1000: 100%|██████████| 36/36 [00:00<00:00, 37.60it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 611/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 609, beta = 0.004900, Train MSE: 0.001149, Train CE:0.000001, Train KL:1.055762, Val MSE:0.000975, Val CE:0.000006, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 611/1000:   3%|▎         | 1/36 [00:00<00:15,  2.32it/s]
+Epoch 611/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.36it/s]
+Epoch 611/1000:  39%|███▉      | 14/36 [00:00<00:00, 29.30it/s]
+Epoch 611/1000:  53%|█████▎    | 19/36 [00:00<00:00, 34.67it/s]
+Epoch 611/1000:  72%|███████▏  | 26/36 [00:00<00:00, 42.91it/s]
+Epoch 611/1000:  89%|████████▉ | 32/36 [00:00<00:00, 45.79it/s]
+Epoch 611/1000: 100%|██████████| 36/36 [00:01<00:00, 31.14it/s]
+epoch: 610, beta = 0.004900, Train MSE: 0.000946, Train CE:0.000007, Train KL:1.055291, Val MSE:0.000831, Val CE:0.000203, Train ACC:1.000000, Val ACC:0.999944
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 612/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 612/1000:   3%|▎         | 1/36 [00:00<00:14,  2.34it/s]
+Epoch 612/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.64it/s]
+Epoch 612/1000:  36%|███▌      | 13/36 [00:00<00:00, 27.08it/s]
+Epoch 612/1000:  50%|█████     | 18/36 [00:00<00:00, 32.09it/s]
+Epoch 612/1000:  67%|██████▋   | 24/36 [00:00<00:00, 38.63it/s]
+Epoch 612/1000:  81%|████████  | 29/36 [00:00<00:00, 40.87it/s]
+Epoch 612/1000:  94%|█████████▍| 34/36 [00:01<00:00, 40.78it/s]
+Epoch 612/1000: 100%|██████████| 36/36 [00:01<00:00, 29.53it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 613/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 611, beta = 0.004900, Train MSE: 0.000699, Train CE:0.000002, Train KL:1.069028, Val MSE:0.000644, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 613/1000:   3%|▎         | 1/36 [00:00<00:12,  2.81it/s]
+Epoch 613/1000:  22%|██▏       | 8/36 [00:00<00:01, 21.02it/s]
+Epoch 613/1000:  39%|███▉      | 14/36 [00:00<00:00, 29.71it/s]
+Epoch 613/1000:  56%|█████▌    | 20/36 [00:00<00:00, 36.94it/s]
+Epoch 613/1000:  72%|███████▏  | 26/36 [00:00<00:00, 42.58it/s]
+Epoch 613/1000:  89%|████████▉ | 32/36 [00:00<00:00, 43.14it/s]
+Epoch 613/1000: 100%|██████████| 36/36 [00:01<00:00, 31.64it/s]
+epoch: 612, beta = 0.004900, Train MSE: 0.000654, Train CE:0.000001, Train KL:1.069027, Val MSE:0.000643, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 614/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 614/1000:   3%|▎         | 1/36 [00:00<00:10,  3.26it/s]
+Epoch 614/1000:  19%|█▉        | 7/36 [00:00<00:01, 21.03it/s]
+Epoch 614/1000:  33%|███▎      | 12/36 [00:00<00:00, 28.74it/s]
+Epoch 614/1000:  50%|█████     | 18/36 [00:00<00:00, 35.64it/s]
+Epoch 614/1000:  64%|██████▍   | 23/36 [00:00<00:00, 38.78it/s]
+Epoch 614/1000:  78%|███████▊  | 28/36 [00:00<00:00, 40.92it/s]
+Epoch 614/1000:  94%|█████████▍| 34/36 [00:00<00:00, 45.01it/s]
+Epoch 614/1000: 100%|██████████| 36/36 [00:01<00:00, 32.68it/s]
+epoch: 613, beta = 0.004900, Train MSE: 0.000651, Train CE:0.000001, Train KL:1.061526, Val MSE:0.000666, Val CE:0.000025, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 615/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 615/1000:   3%|▎         | 1/36 [00:00<00:14,  2.37it/s]
+Epoch 615/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.11it/s]
+Epoch 615/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.49it/s]
+Epoch 615/1000:  50%|█████     | 18/36 [00:00<00:00, 32.42it/s]
+Epoch 615/1000:  67%|██████▋   | 24/36 [00:00<00:00, 38.18it/s]
+Epoch 615/1000:  83%|████████▎ | 30/36 [00:00<00:00, 42.59it/s]
+Epoch 615/1000: 100%|██████████| 36/36 [00:01<00:00, 45.05it/s]
+Epoch 615/1000: 100%|██████████| 36/36 [00:01<00:00, 29.66it/s]
+epoch: 614, beta = 0.004900, Train MSE: 0.000644, Train CE:0.000003, Train KL:1.056239, Val MSE:0.000751, Val CE:0.000009, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 616/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 616/1000:   3%|▎         | 1/36 [00:00<00:14,  2.35it/s]
+Epoch 616/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.78it/s]
+Epoch 616/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.80it/s]
+Epoch 616/1000:  42%|████▏     | 15/36 [00:00<00:00, 28.56it/s]
+Epoch 616/1000:  56%|█████▌    | 20/36 [00:00<00:00, 34.21it/s]
+Epoch 616/1000:  72%|███████▏  | 26/36 [00:00<00:00, 39.56it/s]
+Epoch 616/1000:  89%|████████▉ | 32/36 [00:01<00:00, 43.94it/s]
+Epoch 616/1000: 100%|██████████| 36/36 [00:01<00:00, 29.54it/s]
+epoch: 615, beta = 0.004900, Train MSE: 0.000648, Train CE:0.000002, Train KL:1.050827, Val MSE:0.000766, Val CE:0.000037, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 617/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 617/1000:   3%|▎         | 1/36 [00:00<00:11,  3.08it/s]
+Epoch 617/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.69it/s]
+Epoch 617/1000:  36%|███▌      | 13/36 [00:00<00:00, 29.89it/s]
+Epoch 617/1000:  50%|█████     | 18/36 [00:00<00:00, 35.32it/s]
+Epoch 617/1000:  67%|██████▋   | 24/36 [00:00<00:00, 41.60it/s]
+Epoch 617/1000:  83%|████████▎ | 30/36 [00:00<00:00, 45.69it/s]
+Epoch 617/1000: 100%|██████████| 36/36 [00:01<00:00, 34.10it/s]
+Learning rate updated: 5.953855510552937e-05
+  0%|          | 0/36 [00:00<?, ?it/s]
+epoch: 616, beta = 0.004900, Train MSE: 0.000683, Train CE:0.000004, Train KL:1.046725, Val MSE:0.000710, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 618/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 618/1000:   3%|▎         | 1/36 [00:00<00:12,  2.86it/s]
+Epoch 618/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.77it/s]
+Epoch 618/1000:  36%|███▌      | 13/36 [00:00<00:00, 29.33it/s]
+Epoch 618/1000:  53%|█████▎    | 19/36 [00:00<00:00, 36.78it/s]
+Epoch 618/1000:  67%|██████▋   | 24/36 [00:00<00:00, 40.21it/s]
+Epoch 618/1000:  83%|████████▎ | 30/36 [00:00<00:00, 44.13it/s]
+Epoch 618/1000: 100%|██████████| 36/36 [00:01<00:00, 34.12it/s]
+epoch: 617, beta = 0.004900, Train MSE: 0.000803, Train CE:0.000007, Train KL:1.047541, Val MSE:0.000844, Val CE:0.000008, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 619/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 619/1000:   3%|▎         | 1/36 [00:00<00:13,  2.65it/s]
+Epoch 619/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.26it/s]
+Epoch 619/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.65it/s]
+Epoch 619/1000:  53%|█████▎    | 19/36 [00:00<00:00, 36.77it/s]
+Epoch 619/1000:  72%|███████▏  | 26/36 [00:00<00:00, 44.47it/s]
+Epoch 619/1000:  92%|█████████▏| 33/36 [00:00<00:00, 50.75it/s]
+Epoch 619/1000: 100%|██████████| 36/36 [00:01<00:00, 35.20it/s]
+epoch: 618, beta = 0.004900, Train MSE: 0.000718, Train CE:0.000039, Train KL:1.050163, Val MSE:0.000644, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 620/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 620/1000:   3%|▎         | 1/36 [00:00<00:12,  2.70it/s]
+Epoch 620/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.48it/s]
+Epoch 620/1000:  25%|██▌       | 9/36 [00:00<00:01, 19.93it/s]
+Epoch 620/1000:  39%|███▉      | 14/36 [00:00<00:00, 27.87it/s]
+Epoch 620/1000:  58%|█████▊    | 21/36 [00:00<00:00, 39.12it/s]
+Epoch 620/1000:  78%|███████▊  | 28/36 [00:00<00:00, 46.37it/s]
+Epoch 620/1000:  97%|█████████▋| 35/36 [00:01<00:00, 53.03it/s]
+Epoch 620/1000: 100%|██████████| 36/36 [00:01<00:00, 32.76it/s]
+epoch: 619, beta = 0.004900, Train MSE: 0.000628, Train CE:0.000004, Train KL:1.056661, Val MSE:0.000730, Val CE:0.000017, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 621/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 621/1000:   3%|▎         | 1/36 [00:00<00:14,  2.48it/s]
+Epoch 621/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.13it/s]
+Epoch 621/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.84it/s]
+Epoch 621/1000:  50%|█████     | 18/36 [00:00<00:00, 33.93it/s]
+Epoch 621/1000:  67%|██████▋   | 24/36 [00:00<00:00, 40.20it/s]
+Epoch 621/1000:  86%|████████▌ | 31/36 [00:00<00:00, 46.39it/s]
+Epoch 621/1000: 100%|██████████| 36/36 [00:01<00:00, 31.80it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 622/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 620, beta = 0.004900, Train MSE: 0.000622, Train CE:0.000084, Train KL:1.060657, Val MSE:0.000621, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 622/1000:   3%|▎         | 1/36 [00:00<00:12,  2.80it/s]
+Epoch 622/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.17it/s]
+Epoch 622/1000:  33%|███▎      | 12/36 [00:00<00:00, 28.41it/s]
+Epoch 622/1000:  50%|█████     | 18/36 [00:00<00:00, 36.99it/s]
+Epoch 622/1000:  67%|██████▋   | 24/36 [00:00<00:00, 42.13it/s]
+Epoch 622/1000:  83%|████████▎ | 30/36 [00:00<00:00, 45.03it/s]
+Epoch 622/1000: 100%|██████████| 36/36 [00:01<00:00, 47.18it/s]
+Epoch 622/1000: 100%|██████████| 36/36 [00:01<00:00, 33.09it/s]
+epoch: 621, beta = 0.004900, Train MSE: 0.000748, Train CE:0.000053, Train KL:1.060812, Val MSE:0.000658, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 623/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 623/1000:   3%|▎         | 1/36 [00:00<00:11,  3.03it/s]
+Epoch 623/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.21it/s]
+Epoch 623/1000:  31%|███       | 11/36 [00:00<00:00, 26.82it/s]
+Epoch 623/1000:  47%|████▋     | 17/36 [00:00<00:00, 35.11it/s]
+Epoch 623/1000:  64%|██████▍   | 23/36 [00:00<00:00, 41.18it/s]
+Epoch 623/1000:  83%|████████▎ | 30/36 [00:00<00:00, 49.41it/s]
+Epoch 623/1000: 100%|██████████| 36/36 [00:01<00:00, 35.81it/s]
+epoch: 622, beta = 0.004900, Train MSE: 0.000632, Train CE:0.000001, Train KL:1.065723, Val MSE:0.000634, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 624/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 624/1000:   3%|▎         | 1/36 [00:00<00:14,  2.40it/s]
+Epoch 624/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.74it/s]
+Epoch 624/1000:  36%|███▌      | 13/36 [00:00<00:00, 27.79it/s]
+Epoch 624/1000:  53%|█████▎    | 19/36 [00:00<00:00, 35.70it/s]
+Epoch 624/1000:  69%|██████▉   | 25/36 [00:00<00:00, 41.60it/s]
+Epoch 624/1000:  89%|████████▉ | 32/36 [00:00<00:00, 47.84it/s]
+Epoch 624/1000: 100%|██████████| 36/36 [00:01<00:00, 32.25it/s]
+epoch: 623, beta = 0.004900, Train MSE: 0.000626, Train CE:0.000002, Train KL:1.060807, Val MSE:0.000689, Val CE:0.000138, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 625/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 625/1000:   3%|▎         | 1/36 [00:00<00:12,  2.80it/s]
+Epoch 625/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.30it/s]
+Epoch 625/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.96it/s]
+Epoch 625/1000:  53%|█████▎    | 19/36 [00:00<00:00, 35.91it/s]
+Epoch 625/1000:  69%|██████▉   | 25/36 [00:00<00:00, 41.74it/s]
+Epoch 625/1000:  86%|████████▌ | 31/36 [00:00<00:00, 45.84it/s]
+Epoch 625/1000: 100%|██████████| 36/36 [00:01<00:00, 32.84it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 626/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 624, beta = 0.004900, Train MSE: 0.000639, Train CE:0.000133, Train KL:1.057239, Val MSE:0.000741, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 626/1000:   3%|▎         | 1/36 [00:00<00:10,  3.24it/s]
+Epoch 626/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.53it/s]
+Epoch 626/1000:  31%|███       | 11/36 [00:00<00:00, 27.00it/s]
+Epoch 626/1000:  47%|████▋     | 17/36 [00:00<00:00, 35.80it/s]
+Epoch 626/1000:  64%|██████▍   | 23/36 [00:00<00:00, 41.72it/s]
+Epoch 626/1000:  81%|████████  | 29/36 [00:00<00:00, 46.70it/s]
+Epoch 626/1000:  97%|█████████▋| 35/36 [00:00<00:00, 49.71it/s]
+Epoch 626/1000: 100%|██████████| 36/36 [00:01<00:00, 34.08it/s]
+epoch: 625, beta = 0.004900, Train MSE: 0.000759, Train CE:0.000001, Train KL:1.061088, Val MSE:0.000642, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 627/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 627/1000:   3%|▎         | 1/36 [00:00<00:12,  2.83it/s]
+Epoch 627/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.09it/s]
+Epoch 627/1000:  39%|███▉      | 14/36 [00:00<00:00, 32.22it/s]
+Epoch 627/1000:  56%|█████▌    | 20/36 [00:00<00:00, 38.78it/s]
+Epoch 627/1000:  75%|███████▌  | 27/36 [00:00<00:00, 46.44it/s]
+Epoch 627/1000:  94%|█████████▍| 34/36 [00:00<00:00, 51.31it/s]
+Epoch 627/1000: 100%|██████████| 36/36 [00:01<00:00, 35.78it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 628/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 626, beta = 0.004900, Train MSE: 0.000641, Train CE:0.000017, Train KL:1.062859, Val MSE:0.000719, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 628/1000:   3%|▎         | 1/36 [00:00<00:15,  2.30it/s]
+Epoch 628/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.54it/s]
+Epoch 628/1000:  36%|███▌      | 13/36 [00:00<00:00, 26.81it/s]
+Epoch 628/1000:  53%|█████▎    | 19/36 [00:00<00:00, 34.95it/s]
+Epoch 628/1000:  72%|███████▏  | 26/36 [00:00<00:00, 43.86it/s]
+Epoch 628/1000:  89%|████████▉ | 32/36 [00:00<00:00, 46.64it/s]
+Epoch 628/1000: 100%|██████████| 36/36 [00:01<00:00, 31.01it/s]
+Learning rate updated: 5.65616273502529e-05
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 629/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+epoch: 627, beta = 0.004900, Train MSE: 0.000704, Train CE:0.000001, Train KL:1.064071, Val MSE:0.000600, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 629/1000:   3%|▎         | 1/36 [00:00<00:15,  2.30it/s]
+Epoch 629/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.03it/s]
+Epoch 629/1000:  39%|███▉      | 14/36 [00:00<00:00, 28.88it/s]
+Epoch 629/1000:  58%|█████▊    | 21/36 [00:00<00:00, 39.40it/s]
+Epoch 629/1000:  78%|███████▊  | 28/36 [00:00<00:00, 46.39it/s]
+Epoch 629/1000:  97%|█████████▋| 35/36 [00:00<00:00, 51.92it/s]
+Epoch 629/1000: 100%|██████████| 36/36 [00:01<00:00, 33.27it/s]
+epoch: 628, beta = 0.004900, Train MSE: 0.000614, Train CE:0.000050, Train KL:1.070599, Val MSE:0.000585, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 630/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 630/1000:   3%|▎         | 1/36 [00:00<00:12,  2.77it/s]
+Epoch 630/1000:  22%|██▏       | 8/36 [00:00<00:01, 21.52it/s]
+Epoch 630/1000:  39%|███▉      | 14/36 [00:00<00:00, 31.77it/s]
+Epoch 630/1000:  56%|█████▌    | 20/36 [00:00<00:00, 39.06it/s]
+Epoch 630/1000:  72%|███████▏  | 26/36 [00:00<00:00, 43.02it/s]
+Epoch 630/1000:  89%|████████▉ | 32/36 [00:00<00:00, 44.04it/s]
+Epoch 630/1000: 100%|██████████| 36/36 [00:01<00:00, 33.37it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 631/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 631/1000:   3%|▎         | 1/36 [00:00<00:12,  2.73it/s]
+Epoch 631/1000:  22%|██▏       | 8/36 [00:00<00:01, 21.26it/s]
+Epoch 631/1000:  42%|████▏     | 15/36 [00:00<00:00, 34.33it/s]
+Epoch 631/1000:  58%|█████▊    | 21/36 [00:00<00:00, 40.25it/s]
+Epoch 631/1000:  75%|███████▌  | 27/36 [00:00<00:00, 44.69it/s]
+Epoch 631/1000:  92%|█████████▏| 33/36 [00:00<00:00, 48.21it/s]
+Epoch 631/1000: 100%|██████████| 36/36 [00:01<00:00, 34.18it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 632/1000:   3%|▎         | 1/36 [00:00<00:11,  3.00it/s]
+Epoch 632/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.86it/s]
+Epoch 632/1000:  36%|███▌      | 13/36 [00:00<00:00, 31.70it/s]
+Epoch 632/1000:  53%|█████▎    | 19/36 [00:00<00:00, 38.67it/s]
+Epoch 632/1000:  67%|██████▋   | 24/36 [00:00<00:00, 41.41it/s]
+Epoch 632/1000:  83%|████████▎ | 30/36 [00:00<00:00, 44.58it/s]
+Epoch 632/1000: 100%|██████████| 36/36 [00:00<00:00, 47.62it/s]
+Epoch 632/1000: 100%|██████████| 36/36 [00:01<00:00, 34.09it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 633/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 631, beta = 0.004900, Train MSE: 0.000714, Train CE:0.000001, Train KL:1.061610, Val MSE:0.000607, Val CE:0.000093, Train ACC:1.000000, Val ACC:0.999972
+
+Epoch 633/1000:   3%|▎         | 1/36 [00:00<00:10,  3.24it/s]
+Epoch 633/1000:  19%|█▉        | 7/36 [00:00<00:01, 20.96it/s]
+Epoch 633/1000:  36%|███▌      | 13/36 [00:00<00:00, 32.13it/s]
+Epoch 633/1000:  56%|█████▌    | 20/36 [00:00<00:00, 41.68it/s]
+Epoch 633/1000:  72%|███████▏  | 26/36 [00:00<00:00, 46.05it/s]
+Epoch 633/1000:  89%|████████▉ | 32/36 [00:00<00:00, 48.99it/s]
+Epoch 633/1000: 100%|██████████| 36/36 [00:00<00:00, 36.20it/s]
+epoch: 632, beta = 0.004900, Train MSE: 0.000728, Train CE:0.000004, Train KL:1.063995, Val MSE:0.000808, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
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+Epoch 634/1000:  19%|█▉        | 7/36 [00:00<00:01, 20.98it/s]
+Epoch 634/1000:  36%|███▌      | 13/36 [00:00<00:00, 33.01it/s]
+Epoch 634/1000:  56%|█████▌    | 20/36 [00:00<00:00, 42.87it/s]
+Epoch 634/1000:  72%|███████▏  | 26/36 [00:00<00:00, 47.07it/s]
+Epoch 634/1000:  89%|████████▉ | 32/36 [00:00<00:00, 45.98it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 635/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 635/1000:   3%|▎         | 1/36 [00:00<00:12,  2.73it/s]
+Epoch 635/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.47it/s]
+Epoch 635/1000:  39%|███▉      | 14/36 [00:00<00:00, 31.66it/s]
+Epoch 635/1000:  58%|█████▊    | 21/36 [00:00<00:00, 41.03it/s]
+Epoch 635/1000:  75%|███████▌  | 27/36 [00:00<00:00, 45.80it/s]
+Epoch 635/1000:  92%|█████████▏| 33/36 [00:00<00:00, 46.96it/s]
+Epoch 635/1000: 100%|██████████| 36/36 [00:01<00:00, 33.12it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 636/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 636/1000:   3%|▎         | 1/36 [00:00<00:11,  2.94it/s]
+Epoch 636/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.63it/s]
+Epoch 636/1000:  33%|███▎      | 12/36 [00:00<00:00, 29.17it/s]
+Epoch 636/1000:  50%|█████     | 18/36 [00:00<00:00, 37.96it/s]
+Epoch 636/1000:  67%|██████▋   | 24/36 [00:00<00:00, 44.15it/s]
+Epoch 636/1000:  83%|████████▎ | 30/36 [00:00<00:00, 46.46it/s]
+Epoch 636/1000: 100%|██████████| 36/36 [00:00<00:00, 49.88it/s]
+Epoch 636/1000: 100%|██████████| 36/36 [00:01<00:00, 34.52it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 637/1000:   3%|▎         | 1/36 [00:00<00:15,  2.29it/s]
+Epoch 637/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.46it/s]
+Epoch 637/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.14it/s]
+Epoch 637/1000:  50%|█████     | 18/36 [00:00<00:00, 35.11it/s]
+Epoch 637/1000:  69%|██████▉   | 25/36 [00:00<00:00, 42.05it/s]
+Epoch 637/1000:  86%|████████▌ | 31/36 [00:00<00:00, 45.22it/s]
+Epoch 637/1000: 100%|██████████| 36/36 [00:01<00:00, 31.43it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 638/1000:   3%|▎         | 1/36 [00:00<00:14,  2.41it/s]
+Epoch 638/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.71it/s]
+Epoch 638/1000:  39%|███▉      | 14/36 [00:00<00:00, 30.59it/s]
+Epoch 638/1000:  58%|█████▊    | 21/36 [00:00<00:00, 40.76it/s]
+Epoch 638/1000:  75%|███████▌  | 27/36 [00:00<00:00, 43.94it/s]
+Epoch 638/1000:  92%|█████████▏| 33/36 [00:00<00:00, 45.47it/s]
+Epoch 638/1000: 100%|██████████| 36/36 [00:01<00:00, 31.78it/s]
+epoch: 637, beta = 0.004900, Train MSE: 0.000572, Train CE:0.000001, Train KL:1.087590, Val MSE:0.000578, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 639/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 639/1000:   3%|▎         | 1/36 [00:00<00:12,  2.74it/s]
+Epoch 639/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.43it/s]
+Epoch 639/1000:  39%|███▉      | 14/36 [00:00<00:00, 32.03it/s]
+Epoch 639/1000:  58%|█████▊    | 21/36 [00:00<00:00, 40.67it/s]
+Epoch 639/1000:  75%|███████▌  | 27/36 [00:00<00:00, 44.18it/s]
+Epoch 639/1000:  92%|█████████▏| 33/36 [00:00<00:00, 46.17it/s]
+Epoch 639/1000: 100%|██████████| 36/36 [00:01<00:00, 33.23it/s]
+Learning rate updated: 5.373354598274025e-05
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 640/1000:   3%|▎         | 1/36 [00:00<00:10,  3.33it/s]
+Epoch 640/1000:  19%|█▉        | 7/36 [00:00<00:01, 21.15it/s]
+Epoch 640/1000:  36%|███▌      | 13/36 [00:00<00:00, 32.39it/s]
+Epoch 640/1000:  50%|█████     | 18/36 [00:00<00:00, 37.45it/s]
+Epoch 640/1000:  67%|██████▋   | 24/36 [00:00<00:00, 42.97it/s]
+Epoch 640/1000:  83%|████████▎ | 30/36 [00:00<00:00, 47.20it/s]
+Epoch 640/1000: 100%|██████████| 36/36 [00:00<00:00, 49.42it/s]
+Epoch 640/1000: 100%|██████████| 36/36 [00:01<00:00, 35.74it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 641/1000:   3%|▎         | 1/36 [00:00<00:13,  2.56it/s]
+Epoch 641/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.84it/s]
+Epoch 641/1000:  39%|███▉      | 14/36 [00:00<00:00, 31.51it/s]
+Epoch 641/1000:  56%|█████▌    | 20/36 [00:00<00:00, 37.60it/s]
+Epoch 641/1000:  72%|███████▏  | 26/36 [00:00<00:00, 42.23it/s]
+Epoch 641/1000:  89%|████████▉ | 32/36 [00:00<00:00, 44.71it/s]
+Epoch 641/1000: 100%|██████████| 36/36 [00:01<00:00, 31.86it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 642/1000:   3%|▎         | 1/36 [00:00<00:15,  2.28it/s]
+Epoch 642/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.03it/s]
+Epoch 642/1000:  36%|███▌      | 13/36 [00:00<00:00, 26.58it/s]
+Epoch 642/1000:  50%|█████     | 18/36 [00:00<00:00, 30.76it/s]
+Epoch 642/1000:  64%|██████▍   | 23/36 [00:00<00:00, 35.36it/s]
+Epoch 642/1000:  78%|███████▊  | 28/36 [00:00<00:00, 38.39it/s]
+Epoch 642/1000:  92%|█████████▏| 33/36 [00:01<00:00, 40.73it/s]
+Epoch 642/1000: 100%|██████████| 36/36 [00:01<00:00, 29.11it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 643/1000:   3%|▎         | 1/36 [00:00<00:11,  2.98it/s]
+Epoch 643/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.98it/s]
+Epoch 643/1000:  33%|███▎      | 12/36 [00:00<00:00, 28.75it/s]
+Epoch 643/1000:  47%|████▋     | 17/36 [00:00<00:00, 34.52it/s]
+Epoch 643/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.94it/s]
+Epoch 643/1000:  81%|████████  | 29/36 [00:00<00:00, 45.46it/s]
+Epoch 643/1000:  97%|█████████▋| 35/36 [00:00<00:00, 47.62it/s]
+Epoch 643/1000: 100%|██████████| 36/36 [00:01<00:00, 31.79it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 644/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 644/1000:   3%|▎         | 1/36 [00:00<00:11,  3.18it/s]
+Epoch 644/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.74it/s]
+Epoch 644/1000:  33%|███▎      | 12/36 [00:00<00:00, 29.87it/s]
+Epoch 644/1000:  47%|████▋     | 17/36 [00:00<00:00, 35.55it/s]
+Epoch 644/1000:  61%|██████    | 22/36 [00:00<00:00, 39.08it/s]
+Epoch 644/1000:  78%|███████▊  | 28/36 [00:00<00:00, 43.34it/s]
+Epoch 644/1000:  94%|█████████▍| 34/36 [00:00<00:00, 45.88it/s]
+Epoch 644/1000: 100%|██████████| 36/36 [00:01<00:00, 32.50it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 645/1000:   3%|▎         | 1/36 [00:00<00:13,  2.54it/s]
+Epoch 645/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.03it/s]
+Epoch 645/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.09it/s]
+Epoch 645/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.27it/s]
+Epoch 645/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.45it/s]
+Epoch 645/1000:  78%|███████▊  | 28/36 [00:00<00:00, 42.28it/s]
+Epoch 645/1000:  92%|█████████▏| 33/36 [00:01<00:00, 41.35it/s]
+Epoch 645/1000: 100%|██████████| 36/36 [00:01<00:00, 29.31it/s]
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+
+Epoch 646/1000:   3%|▎         | 1/36 [00:00<00:15,  2.25it/s]
+Epoch 646/1000:  22%|██▏       | 8/36 [00:00<00:01, 18.30it/s]
+Epoch 646/1000:  39%|███▉      | 14/36 [00:00<00:00, 28.67it/s]
+Epoch 646/1000:  56%|█████▌    | 20/36 [00:00<00:00, 36.36it/s]
+Epoch 646/1000:  72%|███████▏  | 26/36 [00:00<00:00, 39.91it/s]
+Epoch 646/1000:  92%|█████████▏| 33/36 [00:00<00:00, 46.63it/s]
+Epoch 646/1000: 100%|██████████| 36/36 [00:01<00:00, 31.45it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 647/1000:   3%|▎         | 1/36 [00:00<00:11,  2.97it/s]
+Epoch 647/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.54it/s]
+Epoch 647/1000:  36%|███▌      | 13/36 [00:00<00:00, 29.03it/s]
+Epoch 647/1000:  50%|█████     | 18/36 [00:00<00:00, 34.38it/s]
+Epoch 647/1000:  67%|██████▋   | 24/36 [00:00<00:00, 40.21it/s]
+Epoch 647/1000:  86%|████████▌ | 31/36 [00:00<00:00, 47.51it/s]
+Epoch 647/1000: 100%|██████████| 36/36 [00:01<00:00, 35.05it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 648/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 648/1000:   3%|▎         | 1/36 [00:00<00:12,  2.80it/s]
+Epoch 648/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.30it/s]
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+Epoch 648/1000:  53%|█████▎    | 19/36 [00:00<00:00, 36.79it/s]
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+Epoch 648/1000:  89%|████████▉ | 32/36 [00:00<00:00, 47.74it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 649/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 649/1000:   3%|▎         | 1/36 [00:00<00:14,  2.40it/s]
+Epoch 649/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.05it/s]
+Epoch 649/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.38it/s]
+Epoch 649/1000:  50%|█████     | 18/36 [00:00<00:00, 33.20it/s]
+Epoch 649/1000:  67%|██████▋   | 24/36 [00:00<00:00, 39.94it/s]
+Epoch 649/1000:  83%|████████▎ | 30/36 [00:00<00:00, 43.19it/s]
+Epoch 649/1000: 100%|██████████| 36/36 [00:01<00:00, 30.43it/s]
+epoch: 648, beta = 0.004900, Train MSE: 0.000698, Train CE:0.000006, Train KL:1.063289, Val MSE:0.000607, Val CE:0.000011, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 650/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 650/1000:   3%|▎         | 1/36 [00:00<00:13,  2.52it/s]
+Epoch 650/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.24it/s]
+Epoch 650/1000:  28%|██▊       | 10/36 [00:00<00:01, 22.48it/s]
+Epoch 650/1000:  42%|████▏     | 15/36 [00:00<00:00, 29.31it/s]
+Epoch 650/1000:  56%|█████▌    | 20/36 [00:00<00:00, 34.92it/s]
+Epoch 650/1000:  72%|███████▏  | 26/36 [00:00<00:00, 41.13it/s]
+Epoch 650/1000:  89%|████████▉ | 32/36 [00:01<00:00, 44.88it/s]
+Epoch 650/1000: 100%|██████████| 36/36 [00:01<00:00, 30.51it/s]
+Learning rate updated: 5.104686868360323e-05
+epoch: 649, beta = 0.004900, Train MSE: 0.000654, Train CE:0.000012, Train KL:1.061373, Val MSE:0.000605, Val CE:0.000007, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 651/1000:   3%|▎         | 1/36 [00:00<00:12,  2.88it/s]
+Epoch 651/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.37it/s]
+Epoch 651/1000:  33%|███▎      | 12/36 [00:00<00:00, 28.32it/s]
+Epoch 651/1000:  50%|█████     | 18/36 [00:00<00:00, 37.36it/s]
+Epoch 651/1000:  67%|██████▋   | 24/36 [00:00<00:00, 43.60it/s]
+Epoch 651/1000:  83%|████████▎ | 30/36 [00:00<00:00, 47.71it/s]
+Epoch 651/1000: 100%|██████████| 36/36 [00:00<00:00, 49.91it/s]
+Epoch 651/1000: 100%|██████████| 36/36 [00:01<00:00, 34.66it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 652/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 652/1000:   3%|▎         | 1/36 [00:00<00:12,  2.71it/s]
+Epoch 652/1000:  22%|██▏       | 8/36 [00:00<00:01, 20.04it/s]
+Epoch 652/1000:  39%|███▉      | 14/36 [00:00<00:00, 30.06it/s]
+Epoch 652/1000:  56%|█████▌    | 20/36 [00:00<00:00, 37.57it/s]
+Epoch 652/1000:  72%|███████▏  | 26/36 [00:00<00:00, 42.76it/s]
+Epoch 652/1000:  92%|█████████▏| 33/36 [00:00<00:00, 49.48it/s]
+Epoch 652/1000: 100%|██████████| 36/36 [00:01<00:00, 34.18it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 653/1000:   3%|▎         | 1/36 [00:00<00:13,  2.52it/s]
+Epoch 653/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.23it/s]
+Epoch 653/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.59it/s]
+Epoch 653/1000:  50%|█████     | 18/36 [00:00<00:00, 34.42it/s]
+Epoch 653/1000:  67%|██████▋   | 24/36 [00:00<00:00, 40.48it/s]
+Epoch 653/1000:  83%|████████▎ | 30/36 [00:00<00:00, 45.61it/s]
+Epoch 653/1000: 100%|██████████| 36/36 [00:01<00:00, 31.14it/s]
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+
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+Epoch 654/1000:   3%|▎         | 1/36 [00:00<00:14,  2.42it/s]
+Epoch 654/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.89it/s]
+Epoch 654/1000:  28%|██▊       | 10/36 [00:00<00:01, 20.13it/s]
+Epoch 654/1000:  44%|████▍     | 16/36 [00:00<00:00, 29.81it/s]
+Epoch 654/1000:  58%|█████▊    | 21/36 [00:00<00:00, 34.57it/s]
+Epoch 654/1000:  75%|███████▌  | 27/36 [00:00<00:00, 39.43it/s]
+Epoch 654/1000:  92%|█████████▏| 33/36 [00:01<00:00, 43.11it/s]
+Epoch 654/1000: 100%|██████████| 36/36 [00:01<00:00, 29.26it/s]
+epoch: 653, beta = 0.004900, Train MSE: 0.000734, Train CE:0.000023, Train KL:1.058779, Val MSE:0.000598, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 655/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 655/1000:   3%|▎         | 1/36 [00:00<00:13,  2.53it/s]
+Epoch 655/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.88it/s]
+Epoch 655/1000:  25%|██▌       | 9/36 [00:00<00:01, 18.68it/s]
+Epoch 655/1000:  39%|███▉      | 14/36 [00:00<00:00, 26.25it/s]
+Epoch 655/1000:  53%|█████▎    | 19/36 [00:00<00:00, 31.53it/s]
+Epoch 655/1000:  69%|██████▉   | 25/36 [00:00<00:00, 37.79it/s]
+Epoch 655/1000:  89%|████████▉ | 32/36 [00:01<00:00, 45.76it/s]
+Epoch 655/1000: 100%|██████████| 36/36 [00:01<00:00, 29.91it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 656/1000:   3%|▎         | 1/36 [00:00<00:14,  2.46it/s]
+Epoch 656/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.31it/s]
+Epoch 656/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.00it/s]
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+Epoch 656/1000:  67%|██████▋   | 24/36 [00:00<00:00, 39.49it/s]
+Epoch 656/1000:  83%|████████▎ | 30/36 [00:00<00:00, 44.52it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 657/1000:  11%|█         | 4/36 [00:00<00:03,  9.44it/s]
+Epoch 657/1000:  25%|██▌       | 9/36 [00:00<00:01, 19.74it/s]
+Epoch 657/1000:  39%|███▉      | 14/36 [00:00<00:00, 26.93it/s]
+Epoch 657/1000:  58%|█████▊    | 21/36 [00:00<00:00, 38.61it/s]
+Epoch 657/1000:  78%|███████▊  | 28/36 [00:00<00:00, 46.45it/s]
+Epoch 657/1000: 100%|██████████| 36/36 [00:01<00:00, 31.56it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 658/1000:   3%|▎         | 1/36 [00:00<00:16,  2.18it/s]
+Epoch 658/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.18it/s]
+Epoch 658/1000:  36%|███▌      | 13/36 [00:00<00:00, 26.89it/s]
+Epoch 658/1000:  50%|█████     | 18/36 [00:00<00:00, 32.71it/s]
+Epoch 658/1000:  69%|██████▉   | 25/36 [00:00<00:00, 40.95it/s]
+Epoch 658/1000:  86%|████████▌ | 31/36 [00:01<00:00, 44.01it/s]
+Epoch 658/1000: 100%|██████████| 36/36 [00:01<00:00, 29.09it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 659/1000:  22%|██▏       | 8/36 [00:00<00:01, 22.55it/s]
+Epoch 659/1000:  39%|███▉      | 14/36 [00:00<00:00, 32.06it/s]
+Epoch 659/1000:  58%|█████▊    | 21/36 [00:00<00:00, 42.15it/s]
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+Epoch 659/1000:  92%|█████████▏| 33/36 [00:00<00:00, 46.74it/s]
+Epoch 659/1000: 100%|██████████| 36/36 [00:01<00:00, 34.63it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+
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+Epoch 660/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.24it/s]
+Epoch 660/1000:  31%|███       | 11/36 [00:00<00:01, 22.30it/s]
+Epoch 660/1000:  47%|████▋     | 17/36 [00:00<00:00, 30.95it/s]
+Epoch 660/1000:  61%|██████    | 22/36 [00:00<00:00, 35.91it/s]
+Epoch 660/1000:  75%|███████▌  | 27/36 [00:00<00:00, 39.72it/s]
+Epoch 660/1000:  89%|████████▉ | 32/36 [00:01<00:00, 41.31it/s]
+Epoch 660/1000: 100%|██████████| 36/36 [00:01<00:00, 29.33it/s]
+epoch: 659, beta = 0.004900, Train MSE: 0.000588, Train CE:0.000008, Train KL:1.070292, Val MSE:0.000593, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 661/1000:   3%|▎         | 1/36 [00:00<00:11,  3.00it/s]
+Epoch 661/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.44it/s]
+Epoch 661/1000:  31%|███       | 11/36 [00:00<00:00, 25.75it/s]
+Epoch 661/1000:  47%|████▋     | 17/36 [00:00<00:00, 34.90it/s]
+Epoch 661/1000:  67%|██████▋   | 24/36 [00:00<00:00, 43.36it/s]
+Epoch 661/1000:  83%|████████▎ | 30/36 [00:00<00:00, 44.32it/s]
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+Epoch 661/1000: 100%|██████████| 36/36 [00:01<00:00, 33.41it/s]
+Learning rate updated: 4.849452524942307e-05
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 662/1000:  31%|███       | 11/36 [00:00<00:00, 26.42it/s]
+Epoch 662/1000:  47%|████▋     | 17/36 [00:00<00:00, 35.87it/s]
+Epoch 662/1000:  67%|██████▋   | 24/36 [00:00<00:00, 43.18it/s]
+Epoch 662/1000:  83%|████████▎ | 30/36 [00:00<00:00, 44.28it/s]
+Epoch 662/1000:  97%|█████████▋| 35/36 [00:01<00:00, 44.60it/s]
+Epoch 662/1000: 100%|██████████| 36/36 [00:01<00:00, 32.35it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 663/1000:   3%|▎         | 1/36 [00:00<00:14,  2.34it/s]
+Epoch 663/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.19it/s]
+Epoch 663/1000:  36%|███▌      | 13/36 [00:00<00:00, 27.60it/s]
+Epoch 663/1000:  50%|█████     | 18/36 [00:00<00:00, 33.38it/s]
+Epoch 663/1000:  64%|██████▍   | 23/36 [00:00<00:00, 36.05it/s]
+Epoch 663/1000:  81%|████████  | 29/36 [00:00<00:00, 41.74it/s]
+Epoch 663/1000:  97%|█████████▋| 35/36 [00:01<00:00, 45.87it/s]
+Epoch 663/1000: 100%|██████████| 36/36 [00:01<00:00, 30.33it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 664/1000:   3%|▎         | 1/36 [00:00<00:13,  2.67it/s]
+Epoch 664/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.29it/s]
+Epoch 664/1000:  39%|███▉      | 14/36 [00:00<00:00, 32.16it/s]
+Epoch 664/1000:  56%|█████▌    | 20/36 [00:00<00:00, 39.09it/s]
+Epoch 664/1000:  72%|███████▏  | 26/36 [00:00<00:00, 42.89it/s]
+Epoch 664/1000:  89%|████████▉ | 32/36 [00:00<00:00, 45.14it/s]
+Epoch 664/1000: 100%|██████████| 36/36 [00:01<00:00, 33.31it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 665/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.96it/s]
+Epoch 665/1000:  31%|███       | 11/36 [00:00<00:00, 25.65it/s]
+Epoch 665/1000:  47%|████▋     | 17/36 [00:00<00:00, 34.55it/s]
+Epoch 665/1000:  64%|██████▍   | 23/36 [00:00<00:00, 40.15it/s]
+Epoch 665/1000:  78%|███████▊  | 28/36 [00:00<00:00, 42.13it/s]
+Epoch 665/1000:  94%|█████████▍| 34/36 [00:01<00:00, 46.19it/s]
+Epoch 665/1000: 100%|██████████| 36/36 [00:01<00:00, 31.95it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 666/1000:   3%|▎         | 1/36 [00:00<00:14,  2.48it/s]
+Epoch 666/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.67it/s]
+Epoch 666/1000:  36%|███▌      | 13/36 [00:00<00:00, 27.36it/s]
+Epoch 666/1000:  53%|█████▎    | 19/36 [00:00<00:00, 34.36it/s]
+Epoch 666/1000:  67%|██████▋   | 24/36 [00:00<00:00, 36.60it/s]
+Epoch 666/1000:  83%|████████▎ | 30/36 [00:00<00:00, 40.75it/s]
+Epoch 666/1000: 100%|██████████| 36/36 [00:01<00:00, 45.56it/s]
+Epoch 666/1000: 100%|██████████| 36/36 [00:01<00:00, 31.02it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 667/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 667/1000:   3%|▎         | 1/36 [00:00<00:13,  2.60it/s]
+Epoch 667/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.29it/s]
+Epoch 667/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.17it/s]
+Epoch 667/1000:  53%|█████▎    | 19/36 [00:00<00:00, 35.46it/s]
+Epoch 667/1000:  69%|██████▉   | 25/36 [00:00<00:00, 40.09it/s]
+Epoch 667/1000:  86%|████████▌ | 31/36 [00:00<00:00, 45.16it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+
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+Epoch 668/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.15it/s]
+Epoch 668/1000:  39%|███▉      | 14/36 [00:00<00:00, 30.21it/s]
+Epoch 668/1000:  53%|█████▎    | 19/36 [00:00<00:00, 35.08it/s]
+Epoch 668/1000:  67%|██████▋   | 24/36 [00:00<00:00, 38.63it/s]
+Epoch 668/1000:  81%|████████  | 29/36 [00:00<00:00, 40.33it/s]
+Epoch 668/1000:  97%|█████████▋| 35/36 [00:01<00:00, 43.39it/s]
+Epoch 668/1000: 100%|██████████| 36/36 [00:01<00:00, 31.20it/s]
+epoch: 667, beta = 0.004900, Train MSE: 0.000623, Train CE:0.000006, Train KL:1.056376, Val MSE:0.000613, Val CE:0.000005, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 669/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 669/1000:   3%|▎         | 1/36 [00:00<00:09,  3.55it/s]
+Epoch 669/1000:  19%|█▉        | 7/36 [00:00<00:01, 22.50it/s]
+Epoch 669/1000:  33%|███▎      | 12/36 [00:00<00:00, 31.39it/s]
+Epoch 669/1000:  50%|█████     | 18/36 [00:00<00:00, 39.22it/s]
+Epoch 669/1000:  67%|██████▋   | 24/36 [00:00<00:00, 44.28it/s]
+Epoch 669/1000:  86%|████████▌ | 31/36 [00:00<00:00, 49.92it/s]
+Epoch 669/1000: 100%|██████████| 36/36 [00:01<00:00, 35.45it/s]
+epoch: 668, beta = 0.004900, Train MSE: 0.000604, Train CE:0.000048, Train KL:1.055621, Val MSE:0.000589, Val CE:0.000286, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 670/1000:   3%|▎         | 1/36 [00:00<00:12,  2.85it/s]
+Epoch 670/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.70it/s]
+Epoch 670/1000:  36%|███▌      | 13/36 [00:00<00:00, 30.10it/s]
+Epoch 670/1000:  50%|█████     | 18/36 [00:00<00:00, 35.50it/s]
+Epoch 670/1000:  67%|██████▋   | 24/36 [00:00<00:00, 40.60it/s]
+Epoch 670/1000:  83%|████████▎ | 30/36 [00:00<00:00, 44.97it/s]
+Epoch 670/1000: 100%|██████████| 36/36 [00:01<00:00, 46.80it/s]
+Epoch 670/1000: 100%|██████████| 36/36 [00:01<00:00, 33.06it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]epoch: 669, beta = 0.004900, Train MSE: 0.000602, Train CE:0.000001, Train KL:1.056259, Val MSE:0.000631, Val CE:0.000072, Train ACC:1.000000, Val ACC:0.999972
+
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+Epoch 671/1000:   3%|▎         | 1/36 [00:00<00:13,  2.60it/s]
+Epoch 671/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.22it/s]
+Epoch 671/1000:  31%|███       | 11/36 [00:00<00:01, 24.63it/s]
+Epoch 671/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.43it/s]
+Epoch 671/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.59it/s]
+Epoch 671/1000:  72%|███████▏  | 26/36 [00:00<00:00, 39.26it/s]
+Epoch 671/1000:  89%|████████▉ | 32/36 [00:01<00:00, 43.99it/s]
+Epoch 671/1000: 100%|██████████| 36/36 [00:01<00:00, 30.75it/s]
+epoch: 670, beta = 0.004900, Train MSE: 0.000633, Train CE:0.000005, Train KL:1.054582, Val MSE:0.000593, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 672/1000:   3%|▎         | 1/36 [00:00<00:13,  2.62it/s]
+Epoch 672/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.38it/s]
+Epoch 672/1000:  31%|███       | 11/36 [00:00<00:01, 24.68it/s]
+Epoch 672/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.88it/s]
+Epoch 672/1000:  61%|██████    | 22/36 [00:00<00:00, 37.19it/s]
+Epoch 672/1000:  78%|███████▊  | 28/36 [00:00<00:00, 42.37it/s]
+Epoch 672/1000:  94%|█████████▍| 34/36 [00:01<00:00, 47.06it/s]
+Epoch 672/1000: 100%|██████████| 36/36 [00:01<00:00, 32.29it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 673/1000:   0%|          | 0/36 [00:00<?, ?it/s]Learning rate updated: 4.606979898695191e-05
+epoch: 671, beta = 0.004900, Train MSE: 0.000619, Train CE:0.000008, Train KL:1.054600, Val MSE:0.000604, Val CE:0.000010, Train ACC:1.000000, Val ACC:1.000000
+
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+Epoch 673/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.98it/s]
+Epoch 673/1000:  33%|███▎      | 12/36 [00:00<00:00, 29.66it/s]
+Epoch 673/1000:  50%|█████     | 18/36 [00:00<00:00, 37.10it/s]
+Epoch 673/1000:  69%|██████▉   | 25/36 [00:00<00:00, 46.22it/s]
+Epoch 673/1000:  92%|█████████▏| 33/36 [00:00<00:00, 53.94it/s]
+Epoch 673/1000: 100%|██████████| 36/36 [00:00<00:00, 36.91it/s]
+epoch: 672, beta = 0.004900, Train MSE: 0.000592, Train CE:0.000015, Train KL:1.054277, Val MSE:0.000593, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 674/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 674/1000:   3%|▎         | 1/36 [00:00<00:11,  3.17it/s]
+Epoch 674/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.30it/s]
+Epoch 674/1000:  36%|███▌      | 13/36 [00:00<00:00, 32.73it/s]
+Epoch 674/1000:  53%|█████▎    | 19/36 [00:00<00:00, 40.37it/s]
+Epoch 674/1000:  72%|███████▏  | 26/36 [00:00<00:00, 48.71it/s]
+Epoch 674/1000:  94%|█████████▍| 34/36 [00:00<00:00, 55.96it/s]
+Epoch 674/1000: 100%|██████████| 36/36 [00:00<00:00, 37.73it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 675/1000:   3%|▎         | 1/36 [00:00<00:09,  3.57it/s]
+Epoch 675/1000:  19%|█▉        | 7/36 [00:00<00:01, 22.09it/s]
+Epoch 675/1000:  39%|███▉      | 14/36 [00:00<00:00, 35.47it/s]
+Epoch 675/1000:  58%|█████▊    | 21/36 [00:00<00:00, 44.69it/s]
+Epoch 675/1000:  78%|███████▊  | 28/36 [00:00<00:00, 50.29it/s]
+Epoch 675/1000:  97%|█████████▋| 35/36 [00:00<00:00, 52.21it/s]
+Epoch 675/1000: 100%|██████████| 36/36 [00:00<00:00, 38.14it/s]
+epoch: 674, beta = 0.004900, Train MSE: 0.000687, Train CE:0.000003, Train KL:1.049764, Val MSE:0.000657, Val CE:0.000053, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 676/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 676/1000:   3%|▎         | 1/36 [00:00<00:12,  2.77it/s]
+Epoch 676/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.97it/s]
+Epoch 676/1000:  36%|███▌      | 13/36 [00:00<00:00, 29.36it/s]
+Epoch 676/1000:  53%|█████▎    | 19/36 [00:00<00:00, 37.60it/s]
+Epoch 676/1000:  69%|██████▉   | 25/36 [00:00<00:00, 43.50it/s]
+Epoch 676/1000:  86%|████████▌ | 31/36 [00:00<00:00, 46.61it/s]
+Epoch 676/1000: 100%|██████████| 36/36 [00:01<00:00, 33.64it/s]
+epoch: 675, beta = 0.004900, Train MSE: 0.000641, Train CE:0.000076, Train KL:1.056113, Val MSE:0.000680, Val CE:0.000005, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 677/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 677/1000:   3%|▎         | 1/36 [00:00<00:11,  3.05it/s]
+Epoch 677/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.67it/s]
+Epoch 677/1000:  36%|███▌      | 13/36 [00:00<00:00, 30.15it/s]
+Epoch 677/1000:  56%|█████▌    | 20/36 [00:00<00:00, 40.66it/s]
+Epoch 677/1000:  75%|███████▌  | 27/36 [00:00<00:00, 47.48it/s]
+Epoch 677/1000:  92%|█████████▏| 33/36 [00:00<00:00, 50.54it/s]
+Epoch 677/1000: 100%|██████████| 36/36 [00:01<00:00, 35.07it/s]
+epoch: 676, beta = 0.004900, Train MSE: 0.000591, Train CE:0.000039, Train KL:1.062832, Val MSE:0.000576, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 678/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 678/1000:   3%|▎         | 1/36 [00:00<00:10,  3.50it/s]
+Epoch 678/1000:  22%|██▏       | 8/36 [00:00<00:01, 25.55it/s]
+Epoch 678/1000:  42%|████▏     | 15/36 [00:00<00:00, 39.64it/s]
+Epoch 678/1000:  61%|██████    | 22/36 [00:00<00:00, 46.91it/s]
+Epoch 678/1000:  81%|████████  | 29/36 [00:00<00:00, 53.15it/s]
+Epoch 678/1000: 100%|██████████| 36/36 [00:00<00:00, 58.14it/s]
+Epoch 678/1000: 100%|██████████| 36/36 [00:00<00:00, 41.52it/s]
+epoch: 677, beta = 0.004900, Train MSE: 0.000578, Train CE:0.000001, Train KL:1.060032, Val MSE:0.000601, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 679/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 679/1000:   3%|▎         | 1/36 [00:00<00:10,  3.41it/s]
+Epoch 679/1000:  19%|█▉        | 7/36 [00:00<00:01, 21.29it/s]
+Epoch 679/1000:  39%|███▉      | 14/36 [00:00<00:00, 35.17it/s]
+Epoch 679/1000:  56%|█████▌    | 20/36 [00:00<00:00, 41.93it/s]
+Epoch 679/1000:  78%|███████▊  | 28/36 [00:00<00:00, 52.51it/s]
+Epoch 679/1000:  97%|█████████▋| 35/36 [00:00<00:00, 56.38it/s]
+Epoch 679/1000: 100%|██████████| 36/36 [00:00<00:00, 39.66it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 680/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 678, beta = 0.004900, Train MSE: 0.000635, Train CE:0.000002, Train KL:1.056013, Val MSE:0.000604, Val CE:0.000007, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 680/1000:   3%|▎         | 1/36 [00:00<00:09,  3.51it/s]
+Epoch 680/1000:  17%|█▋        | 6/36 [00:00<00:01, 18.18it/s]
+Epoch 680/1000:  28%|██▊       | 10/36 [00:00<00:01, 24.90it/s]
+Epoch 680/1000:  39%|███▉      | 14/36 [00:00<00:00, 28.75it/s]
+Epoch 680/1000:  53%|█████▎    | 19/36 [00:00<00:00, 34.18it/s]
+Epoch 680/1000:  67%|██████▋   | 24/36 [00:00<00:00, 38.70it/s]
+Epoch 680/1000:  83%|████████▎ | 30/36 [00:00<00:00, 44.24it/s]
+Epoch 680/1000: 100%|██████████| 36/36 [00:01<00:00, 47.07it/s]
+Epoch 680/1000: 100%|██████████| 36/36 [00:01<00:00, 32.41it/s]
+epoch: 679, beta = 0.004900, Train MSE: 0.000624, Train CE:0.000001, Train KL:1.057390, Val MSE:0.000654, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 681/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 681/1000:   3%|▎         | 1/36 [00:00<00:12,  2.81it/s]
+Epoch 681/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.24it/s]
+Epoch 681/1000:  31%|███       | 11/36 [00:00<00:00, 25.74it/s]
+Epoch 681/1000:  44%|████▍     | 16/36 [00:00<00:00, 32.50it/s]
+Epoch 681/1000:  64%|██████▍   | 23/36 [00:00<00:00, 42.24it/s]
+Epoch 681/1000:  81%|████████  | 29/36 [00:00<00:00, 46.16it/s]
+Epoch 681/1000:  97%|█████████▋| 35/36 [00:01<00:00, 48.01it/s]
+Epoch 681/1000: 100%|██████████| 36/36 [00:01<00:00, 33.05it/s]
+epoch: 680, beta = 0.004900, Train MSE: 0.000584, Train CE:0.000015, Train KL:1.055454, Val MSE:0.000603, Val CE:0.000007, Train ACC:1.000000, Val ACC:1.000000
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 682/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+
+Epoch 682/1000:   3%|▎         | 1/36 [00:00<00:11,  2.94it/s]
+Epoch 682/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.58it/s]
+Epoch 682/1000:  36%|███▌      | 13/36 [00:00<00:00, 30.50it/s]
+Epoch 682/1000:  56%|█████▌    | 20/36 [00:00<00:00, 41.03it/s]
+Epoch 682/1000:  75%|███████▌  | 27/36 [00:00<00:00, 48.18it/s]
+Epoch 682/1000:  92%|█████████▏| 33/36 [00:00<00:00, 50.16it/s]
+Epoch 682/1000: 100%|██████████| 36/36 [00:00<00:00, 36.37it/s]
+epoch: 681, beta = 0.004900, Train MSE: 0.000613, Train CE:0.000257, Train KL:1.054815, Val MSE:0.000647, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 683/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+
+Epoch 683/1000:   3%|▎         | 1/36 [00:00<00:10,  3.42it/s]
+Epoch 683/1000:  19%|█▉        | 7/36 [00:00<00:01, 21.06it/s]
+Epoch 683/1000:  36%|███▌      | 13/36 [00:00<00:00, 32.21it/s]
+Epoch 683/1000:  58%|█████▊    | 21/36 [00:00<00:00, 45.39it/s]
+Epoch 683/1000:  75%|███████▌  | 27/36 [00:00<00:00, 47.68it/s]
+Epoch 683/1000:  92%|█████████▏| 33/36 [00:00<00:00, 47.31it/s]
+Epoch 683/1000: 100%|██████████| 36/36 [00:01<00:00, 34.90it/s]
+Learning rate updated: 4.376630903760431e-05
+epoch: 682, beta = 0.004900, Train MSE: 0.000586, Train CE:0.000003, Train KL:1.057810, Val MSE:0.000615, Val CE:0.000006, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 684/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 684/1000:   3%|▎         | 1/36 [00:00<00:12,  2.79it/s]
+Epoch 684/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.94it/s]
+Epoch 684/1000:  39%|███▉      | 14/36 [00:00<00:00, 31.76it/s]
+Epoch 684/1000:  61%|██████    | 22/36 [00:00<00:00, 44.14it/s]
+Epoch 684/1000:  81%|████████  | 29/36 [00:00<00:00, 49.72it/s]
+Epoch 684/1000:  97%|█████████▋| 35/36 [00:00<00:00, 50.87it/s]
+Epoch 684/1000: 100%|██████████| 36/36 [00:01<00:00, 35.86it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 685/1000:   3%|▎         | 1/36 [00:00<00:11,  3.12it/s]
+Epoch 685/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.45it/s]
+Epoch 685/1000:  31%|███       | 11/36 [00:00<00:00, 27.01it/s]
+Epoch 685/1000:  47%|████▋     | 17/36 [00:00<00:00, 36.53it/s]
+Epoch 685/1000:  67%|██████▋   | 24/36 [00:00<00:00, 44.68it/s]
+Epoch 685/1000:  83%|████████▎ | 30/36 [00:00<00:00, 46.03it/s]
+Epoch 685/1000: 100%|██████████| 36/36 [00:00<00:00, 49.24it/s]
+Epoch 685/1000: 100%|██████████| 36/36 [00:01<00:00, 34.50it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 686/1000:   3%|▎         | 1/36 [00:00<00:12,  2.70it/s]
+Epoch 686/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.39it/s]
+Epoch 686/1000:  36%|███▌      | 13/36 [00:00<00:00, 30.01it/s]
+Epoch 686/1000:  56%|█████▌    | 20/36 [00:00<00:00, 40.42it/s]
+Epoch 686/1000:  72%|███████▏  | 26/36 [00:00<00:00, 43.93it/s]
+Epoch 686/1000:  89%|████████▉ | 32/36 [00:00<00:00, 45.15it/s]
+Epoch 686/1000: 100%|██████████| 36/36 [00:01<00:00, 33.37it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 687/1000:   3%|▎         | 1/36 [00:00<00:11,  2.92it/s]
+Epoch 687/1000:  22%|██▏       | 8/36 [00:00<00:01, 21.86it/s]
+Epoch 687/1000:  42%|████▏     | 15/36 [00:00<00:00, 34.24it/s]
+Epoch 687/1000:  58%|█████▊    | 21/36 [00:00<00:00, 40.22it/s]
+Epoch 687/1000:  75%|███████▌  | 27/36 [00:00<00:00, 43.30it/s]
+Epoch 687/1000:  92%|█████████▏| 33/36 [00:00<00:00, 44.90it/s]
+Epoch 687/1000: 100%|██████████| 36/36 [00:01<00:00, 34.29it/s]
+epoch: 686, beta = 0.004900, Train MSE: 0.000587, Train CE:0.000001, Train KL:1.064877, Val MSE:0.000599, Val CE:0.000013, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 688/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 688/1000:   3%|▎         | 1/36 [00:00<00:11,  3.04it/s]
+Epoch 688/1000:  22%|██▏       | 8/36 [00:00<00:01, 22.38it/s]
+Epoch 688/1000:  42%|████▏     | 15/36 [00:00<00:00, 35.58it/s]
+Epoch 688/1000:  58%|█████▊    | 21/36 [00:00<00:00, 41.26it/s]
+Epoch 688/1000:  75%|███████▌  | 27/36 [00:00<00:00, 46.15it/s]
+Epoch 688/1000:  94%|█████████▍| 34/36 [00:00<00:00, 50.68it/s]
+Epoch 688/1000: 100%|██████████| 36/36 [00:00<00:00, 36.35it/s]
+epoch: 687, beta = 0.004900, Train MSE: 0.000614, Train CE:0.000002, Train KL:1.059972, Val MSE:0.000695, Val CE:0.000014, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 689/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 689/1000:   3%|▎         | 1/36 [00:00<00:09,  3.51it/s]
+Epoch 689/1000:  25%|██▌       | 9/36 [00:00<00:00, 27.91it/s]
+Epoch 689/1000:  44%|████▍     | 16/36 [00:00<00:00, 40.33it/s]
+Epoch 689/1000:  61%|██████    | 22/36 [00:00<00:00, 43.91it/s]
+Epoch 689/1000:  78%|███████▊  | 28/36 [00:00<00:00, 46.78it/s]
+Epoch 689/1000:  94%|█████████▍| 34/36 [00:00<00:00, 49.04it/s]
+Epoch 689/1000: 100%|██████████| 36/36 [00:00<00:00, 36.47it/s]
+epoch: 688, beta = 0.004900, Train MSE: 0.000588, Train CE:0.000003, Train KL:1.057744, Val MSE:0.000648, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 690/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 690/1000:   3%|▎         | 1/36 [00:00<00:11,  3.01it/s]
+Epoch 690/1000:  25%|██▌       | 9/36 [00:00<00:01, 25.51it/s]
+Epoch 690/1000:  44%|████▍     | 16/36 [00:00<00:00, 37.39it/s]
+Epoch 690/1000:  61%|██████    | 22/36 [00:00<00:00, 43.19it/s]
+Epoch 690/1000:  78%|███████▊  | 28/36 [00:00<00:00, 46.14it/s]
+Epoch 690/1000:  94%|█████████▍| 34/36 [00:00<00:00, 45.95it/s]
+Epoch 690/1000: 100%|██████████| 36/36 [00:01<00:00, 35.10it/s]
+epoch: 689, beta = 0.004900, Train MSE: 0.000629, Train CE:0.000002, Train KL:1.054045, Val MSE:0.000740, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 691/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 691/1000:   3%|▎         | 1/36 [00:00<00:10,  3.33it/s]
+Epoch 691/1000:  19%|█▉        | 7/36 [00:00<00:01, 21.14it/s]
+Epoch 691/1000:  39%|███▉      | 14/36 [00:00<00:00, 35.43it/s]
+Epoch 691/1000:  61%|██████    | 22/36 [00:00<00:00, 47.98it/s]
+Epoch 691/1000:  81%|████████  | 29/36 [00:00<00:00, 53.97it/s]
+Epoch 691/1000: 100%|██████████| 36/36 [00:00<00:00, 53.81it/s]
+Epoch 691/1000: 100%|██████████| 36/36 [00:00<00:00, 38.33it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 692/1000:   3%|▎         | 1/36 [00:00<00:13,  2.53it/s]
+Epoch 692/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.13it/s]
+Epoch 692/1000:  31%|███       | 11/36 [00:00<00:01, 23.10it/s]
+Epoch 692/1000:  44%|████▍     | 16/36 [00:00<00:00, 28.63it/s]
+Epoch 692/1000:  58%|█████▊    | 21/36 [00:00<00:00, 32.67it/s]
+Epoch 692/1000:  72%|███████▏  | 26/36 [00:00<00:00, 35.45it/s]
+Epoch 692/1000:  83%|████████▎ | 30/36 [00:01<00:00, 34.97it/s]
+Epoch 692/1000:  94%|█████████▍| 34/36 [00:01<00:00, 35.38it/s]
+Epoch 692/1000: 100%|██████████| 36/36 [00:01<00:00, 26.63it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 693/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 693/1000:   3%|▎         | 1/36 [00:00<00:12,  2.79it/s]
+Epoch 693/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.31it/s]
+Epoch 693/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.54it/s]
+Epoch 693/1000:  50%|█████     | 18/36 [00:00<00:00, 35.11it/s]
+Epoch 693/1000:  67%|██████▋   | 24/36 [00:00<00:00, 40.65it/s]
+Epoch 693/1000:  81%|████████  | 29/36 [00:00<00:00, 41.56it/s]
+Epoch 693/1000:  94%|█████████▍| 34/36 [00:01<00:00, 42.15it/s]
+Epoch 693/1000: 100%|██████████| 36/36 [00:01<00:00, 30.53it/s]
+epoch: 692, beta = 0.004900, Train MSE: 0.000622, Train CE:0.000005, Train KL:1.057444, Val MSE:0.000614, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 694/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 694/1000:   3%|▎         | 1/36 [00:00<00:14,  2.37it/s]
+Epoch 694/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.79it/s]
+Epoch 694/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.75it/s]
+Epoch 694/1000:  39%|███▉      | 14/36 [00:00<00:00, 26.66it/s]
+Epoch 694/1000:  53%|█████▎    | 19/36 [00:00<00:00, 32.97it/s]
+Epoch 694/1000:  67%|██████▋   | 24/36 [00:00<00:00, 37.45it/s]
+Epoch 694/1000:  86%|████████▌ | 31/36 [00:01<00:00, 45.49it/s]
+Epoch 694/1000: 100%|██████████| 36/36 [00:01<00:00, 30.34it/s]
+Learning rate updated: 4.157799358572409e-05
+epoch: 693, beta = 0.004900, Train MSE: 0.000609, Train CE:0.000102, Train KL:1.056236, Val MSE:0.000606, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 695/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 695/1000:   3%|▎         | 1/36 [00:00<00:10,  3.24it/s]
+Epoch 695/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.52it/s]
+Epoch 695/1000:  36%|███▌      | 13/36 [00:00<00:00, 31.25it/s]
+Epoch 695/1000:  53%|█████▎    | 19/36 [00:00<00:00, 39.05it/s]
+Epoch 695/1000:  67%|██████▋   | 24/36 [00:00<00:00, 41.29it/s]
+Epoch 695/1000:  86%|████████▌ | 31/36 [00:00<00:00, 48.39it/s]
+Epoch 695/1000: 100%|██████████| 36/36 [00:01<00:00, 35.83it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 696/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 696/1000:   3%|▎         | 1/36 [00:00<00:11,  3.05it/s]
+Epoch 696/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.67it/s]
+Epoch 696/1000:  33%|███▎      | 12/36 [00:00<00:00, 29.36it/s]
+Epoch 696/1000:  50%|█████     | 18/36 [00:00<00:00, 36.28it/s]
+Epoch 696/1000:  69%|██████▉   | 25/36 [00:00<00:00, 44.95it/s]
+Epoch 696/1000:  92%|█████████▏| 33/36 [00:00<00:00, 52.87it/s]
+Epoch 696/1000: 100%|██████████| 36/36 [00:01<00:00, 35.91it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 697/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 697/1000:   3%|▎         | 1/36 [00:00<00:10,  3.43it/s]
+Epoch 697/1000:  19%|█▉        | 7/36 [00:00<00:01, 21.13it/s]
+Epoch 697/1000:  36%|███▌      | 13/36 [00:00<00:00, 32.03it/s]
+Epoch 697/1000:  53%|█████▎    | 19/36 [00:00<00:00, 39.00it/s]
+Epoch 697/1000:  72%|███████▏  | 26/36 [00:00<00:00, 46.50it/s]
+Epoch 697/1000:  89%|████████▉ | 32/36 [00:00<00:00, 49.65it/s]
+Epoch 697/1000: 100%|██████████| 36/36 [00:00<00:00, 36.29it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 698/1000:   3%|▎         | 1/36 [00:00<00:10,  3.48it/s]
+Epoch 698/1000:  19%|█▉        | 7/36 [00:00<00:01, 21.86it/s]
+Epoch 698/1000:  33%|███▎      | 12/36 [00:00<00:00, 29.88it/s]
+Epoch 698/1000:  53%|█████▎    | 19/36 [00:00<00:00, 41.98it/s]
+Epoch 698/1000:  72%|███████▏  | 26/36 [00:00<00:00, 48.02it/s]
+Epoch 698/1000:  89%|████████▉ | 32/36 [00:00<00:00, 51.13it/s]
+Epoch 698/1000: 100%|██████████| 36/36 [00:00<00:00, 37.94it/s]
+epoch: 697, beta = 0.004900, Train MSE: 0.000750, Train CE:0.000004, Train KL:1.044626, Val MSE:0.000715, Val CE:0.000008, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 699/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 699/1000:   3%|▎         | 1/36 [00:00<00:10,  3.25it/s]
+Epoch 699/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.29it/s]
+Epoch 699/1000:  31%|███       | 11/36 [00:00<00:00, 27.08it/s]
+Epoch 699/1000:  53%|█████▎    | 19/36 [00:00<00:00, 41.12it/s]
+Epoch 699/1000:  72%|███████▏  | 26/36 [00:00<00:00, 47.61it/s]
+Epoch 699/1000:  92%|█████████▏| 33/36 [00:00<00:00, 51.40it/s]
+Epoch 699/1000: 100%|██████████| 36/36 [00:00<00:00, 36.54it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 700/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 698, beta = 0.004900, Train MSE: 0.000743, Train CE:0.000011, Train KL:1.047859, Val MSE:0.000662, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 700/1000:   3%|▎         | 1/36 [00:00<00:11,  3.00it/s]
+Epoch 700/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.18it/s]
+Epoch 700/1000:  36%|███▌      | 13/36 [00:00<00:00, 30.34it/s]
+Epoch 700/1000:  56%|█████▌    | 20/36 [00:00<00:00, 39.89it/s]
+Epoch 700/1000:  72%|███████▏  | 26/36 [00:00<00:00, 45.07it/s]
+Epoch 700/1000:  89%|████████▉ | 32/36 [00:00<00:00, 48.53it/s]
+Epoch 700/1000: 100%|██████████| 36/36 [00:01<00:00, 35.03it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 701/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 701/1000:   3%|▎         | 1/36 [00:00<00:15,  2.29it/s]
+Epoch 701/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.90it/s]
+Epoch 701/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.39it/s]
+Epoch 701/1000:  53%|█████▎    | 19/36 [00:00<00:00, 34.96it/s]
+Epoch 701/1000:  67%|██████▋   | 24/36 [00:00<00:00, 38.27it/s]
+Epoch 701/1000:  83%|████████▎ | 30/36 [00:00<00:00, 41.95it/s]
+Epoch 701/1000: 100%|██████████| 36/36 [00:01<00:00, 31.06it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 702/1000:   3%|▎         | 1/36 [00:00<00:16,  2.18it/s]
+Epoch 702/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.21it/s]
+Epoch 702/1000:  36%|███▌      | 13/36 [00:00<00:00, 26.90it/s]
+Epoch 702/1000:  56%|█████▌    | 20/36 [00:00<00:00, 36.70it/s]
+Epoch 702/1000:  75%|███████▌  | 27/36 [00:00<00:00, 43.98it/s]
+Epoch 702/1000:  92%|█████████▏| 33/36 [00:01<00:00, 47.43it/s]
+Epoch 702/1000: 100%|██████████| 36/36 [00:01<00:00, 31.61it/s]
+epoch: 701, beta = 0.004900, Train MSE: 0.000617, Train CE:0.000005, Train KL:1.053469, Val MSE:0.000629, Val CE:0.000037, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 703/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 703/1000:   3%|▎         | 1/36 [00:00<00:13,  2.63it/s]
+Epoch 703/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.17it/s]
+Epoch 703/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.55it/s]
+Epoch 703/1000:  50%|█████     | 18/36 [00:00<00:00, 34.43it/s]
+Epoch 703/1000:  64%|██████▍   | 23/36 [00:00<00:00, 38.32it/s]
+Epoch 703/1000:  81%|████████  | 29/36 [00:00<00:00, 42.90it/s]
+Epoch 703/1000: 100%|██████████| 36/36 [00:01<00:00, 47.13it/s]
+Epoch 703/1000: 100%|██████████| 36/36 [00:01<00:00, 31.39it/s]
+epoch: 702, beta = 0.004900, Train MSE: 0.000629, Train CE:0.000106, Train KL:1.051590, Val MSE:0.000733, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 704/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 704/1000:   3%|▎         | 1/36 [00:00<00:12,  2.89it/s]
+Epoch 704/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.60it/s]
+Epoch 704/1000:  33%|███▎      | 12/36 [00:00<00:00, 28.00it/s]
+Epoch 704/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.86it/s]
+Epoch 704/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.29it/s]
+Epoch 704/1000:  78%|███████▊  | 28/36 [00:00<00:00, 42.11it/s]
+Epoch 704/1000:  94%|█████████▍| 34/36 [00:01<00:00, 45.28it/s]
+Epoch 704/1000: 100%|██████████| 36/36 [00:01<00:00, 32.17it/s]
+epoch: 703, beta = 0.004900, Train MSE: 0.000634, Train CE:0.000040, Train KL:1.056780, Val MSE:0.000599, Val CE:0.000028, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 705/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 705/1000:   3%|▎         | 1/36 [00:00<00:11,  3.03it/s]
+Epoch 705/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.29it/s]
+Epoch 705/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.78it/s]
+Epoch 705/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.96it/s]
+Epoch 705/1000:  64%|██████▍   | 23/36 [00:00<00:00, 38.20it/s]
+Epoch 705/1000:  81%|████████  | 29/36 [00:00<00:00, 42.82it/s]
+Epoch 705/1000:  97%|█████████▋| 35/36 [00:01<00:00, 46.73it/s]
+Epoch 705/1000: 100%|██████████| 36/36 [00:01<00:00, 32.95it/s]
+Learning rate updated: 3.9499093906437885e-05
+epoch: 704, beta = 0.004900, Train MSE: 0.000598, Train CE:0.000002, Train KL:1.056418, Val MSE:0.000685, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 706/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 706/1000:   3%|▎         | 1/36 [00:00<00:11,  3.03it/s]
+Epoch 706/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.17it/s]
+Epoch 706/1000:  31%|███       | 11/36 [00:00<00:00, 26.59it/s]
+Epoch 706/1000:  47%|████▋     | 17/36 [00:00<00:00, 34.58it/s]
+Epoch 706/1000:  64%|██████▍   | 23/36 [00:00<00:00, 40.68it/s]
+Epoch 706/1000:  78%|███████▊  | 28/36 [00:00<00:00, 40.03it/s]
+Epoch 706/1000:  97%|█████████▋| 35/36 [00:01<00:00, 46.27it/s]
+Epoch 706/1000: 100%|██████████| 36/36 [00:01<00:00, 32.83it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 707/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 707/1000:   3%|▎         | 1/36 [00:00<00:11,  3.11it/s]
+Epoch 707/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.30it/s]
+Epoch 707/1000:  31%|███       | 11/36 [00:00<00:00, 26.25it/s]
+Epoch 707/1000:  44%|████▍     | 16/36 [00:00<00:00, 33.09it/s]
+Epoch 707/1000:  61%|██████    | 22/36 [00:00<00:00, 40.69it/s]
+Epoch 707/1000:  78%|███████▊  | 28/36 [00:00<00:00, 45.19it/s]
+Epoch 707/1000: 100%|██████████| 36/36 [00:00<00:00, 52.60it/s]
+Epoch 707/1000: 100%|██████████| 36/36 [00:01<00:00, 34.44it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 708/1000:   3%|▎         | 1/36 [00:00<00:13,  2.52it/s]
+Epoch 708/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.42it/s]
+Epoch 708/1000:  36%|███▌      | 13/36 [00:00<00:00, 27.97it/s]
+Epoch 708/1000:  50%|█████     | 18/36 [00:00<00:00, 33.72it/s]
+Epoch 708/1000:  64%|██████▍   | 23/36 [00:00<00:00, 35.85it/s]
+Epoch 708/1000:  81%|████████  | 29/36 [00:00<00:00, 42.37it/s]
+Epoch 708/1000: 100%|██████████| 36/36 [00:01<00:00, 49.28it/s]
+Epoch 708/1000: 100%|██████████| 36/36 [00:01<00:00, 32.21it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 709/1000:   3%|▎         | 1/36 [00:00<00:13,  2.56it/s]
+Epoch 709/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.81it/s]
+Epoch 709/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.87it/s]
+Epoch 709/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.60it/s]
+Epoch 709/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.07it/s]
+Epoch 709/1000:  81%|████████  | 29/36 [00:00<00:00, 44.33it/s]
+Epoch 709/1000: 100%|██████████| 36/36 [00:01<00:00, 32.85it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 710/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 710/1000:   3%|▎         | 1/36 [00:00<00:12,  2.92it/s]
+Epoch 710/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.01it/s]
+Epoch 710/1000:  33%|███▎      | 12/36 [00:00<00:00, 28.20it/s]
+Epoch 710/1000:  50%|█████     | 18/36 [00:00<00:00, 35.92it/s]
+Epoch 710/1000:  69%|██████▉   | 25/36 [00:00<00:00, 44.07it/s]
+Epoch 710/1000:  89%|████████▉ | 32/36 [00:00<00:00, 50.10it/s]
+Epoch 710/1000: 100%|██████████| 36/36 [00:01<00:00, 34.88it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 711/1000:   3%|▎         | 1/36 [00:00<00:13,  2.54it/s]
+Epoch 711/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.48it/s]
+Epoch 711/1000:  31%|███       | 11/36 [00:00<00:01, 24.63it/s]
+Epoch 711/1000:  44%|████▍     | 16/36 [00:00<00:00, 31.53it/s]
+Epoch 711/1000:  64%|██████▍   | 23/36 [00:00<00:00, 41.40it/s]
+Epoch 711/1000:  83%|████████▎ | 30/36 [00:00<00:00, 48.38it/s]
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+
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+Epoch 712/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.13it/s]
+Epoch 712/1000:  31%|███       | 11/36 [00:00<00:00, 25.23it/s]
+Epoch 712/1000:  44%|████▍     | 16/36 [00:00<00:00, 32.22it/s]
+Epoch 712/1000:  61%|██████    | 22/36 [00:00<00:00, 37.31it/s]
+Epoch 712/1000:  78%|███████▊  | 28/36 [00:00<00:00, 40.69it/s]
+Epoch 712/1000:  94%|█████████▍| 34/36 [00:01<00:00, 45.67it/s]
+Epoch 712/1000: 100%|██████████| 36/36 [00:01<00:00, 32.36it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 713/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 713/1000:   3%|▎         | 1/36 [00:00<00:13,  2.59it/s]
+Epoch 713/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.15it/s]
+Epoch 713/1000:  31%|███       | 11/36 [00:00<00:01, 24.38it/s]
+Epoch 713/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.50it/s]
+Epoch 713/1000:  64%|██████▍   | 23/36 [00:00<00:00, 41.21it/s]
+Epoch 713/1000:  83%|████████▎ | 30/36 [00:00<00:00, 47.22it/s]
+Epoch 713/1000: 100%|██████████| 36/36 [00:01<00:00, 48.66it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 714/1000:   3%|▎         | 1/36 [00:00<00:13,  2.62it/s]
+Epoch 714/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.03it/s]
+Epoch 714/1000:  31%|███       | 11/36 [00:00<00:01, 24.46it/s]
+Epoch 714/1000:  44%|████▍     | 16/36 [00:00<00:00, 31.56it/s]
+Epoch 714/1000:  58%|█████▊    | 21/36 [00:00<00:00, 33.78it/s]
+Epoch 714/1000:  72%|███████▏  | 26/36 [00:00<00:00, 36.88it/s]
+Epoch 714/1000:  89%|████████▉ | 32/36 [00:01<00:00, 41.20it/s]
+Epoch 714/1000: 100%|██████████| 36/36 [00:01<00:00, 29.92it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 715/1000:   3%|▎         | 1/36 [00:00<00:14,  2.48it/s]
+Epoch 715/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.01it/s]
+Epoch 715/1000:  36%|███▌      | 13/36 [00:00<00:00, 27.70it/s]
+Epoch 715/1000:  53%|█████▎    | 19/36 [00:00<00:00, 35.37it/s]
+Epoch 715/1000:  69%|██████▉   | 25/36 [00:00<00:00, 40.87it/s]
+Epoch 715/1000:  89%|████████▉ | 32/36 [00:00<00:00, 47.08it/s]
+Epoch 715/1000: 100%|██████████| 36/36 [00:01<00:00, 30.79it/s]
+epoch: 714, beta = 0.004900, Train MSE: 0.000678, Train CE:0.000004, Train KL:1.051416, Val MSE:0.000606, Val CE:0.000009, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 716/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 716/1000:   3%|▎         | 1/36 [00:00<00:11,  3.13it/s]
+Epoch 716/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.52it/s]
+Epoch 716/1000:  31%|███       | 11/36 [00:00<00:00, 27.28it/s]
+Epoch 716/1000:  50%|█████     | 18/36 [00:00<00:00, 39.67it/s]
+Epoch 716/1000:  67%|██████▋   | 24/36 [00:00<00:00, 45.69it/s]
+Epoch 716/1000:  83%|████████▎ | 30/36 [00:00<00:00, 48.45it/s]
+Epoch 716/1000: 100%|██████████| 36/36 [00:00<00:00, 48.84it/s]
+Epoch 716/1000: 100%|██████████| 36/36 [00:01<00:00, 34.08it/s]
+Learning rate updated: 3.752413921111599e-05
+epoch: 715, beta = 0.004900, Train MSE: 0.000605, Train CE:0.000002, Train KL:1.051509, Val MSE:0.000659, Val CE:0.000040, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 717/1000:   3%|▎         | 1/36 [00:00<00:14,  2.40it/s]
+Epoch 717/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.56it/s]
+Epoch 717/1000:  39%|███▉      | 14/36 [00:00<00:00, 28.35it/s]
+Epoch 717/1000:  56%|█████▌    | 20/36 [00:00<00:00, 35.80it/s]
+Epoch 717/1000:  72%|███████▏  | 26/36 [00:00<00:00, 40.89it/s]
+Epoch 717/1000:  89%|████████▉ | 32/36 [00:00<00:00, 44.52it/s]
+Epoch 717/1000: 100%|██████████| 36/36 [00:01<00:00, 30.80it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 718/1000:   3%|▎         | 1/36 [00:00<00:14,  2.47it/s]
+Epoch 718/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.56it/s]
+Epoch 718/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.78it/s]
+Epoch 718/1000:  47%|████▋     | 17/36 [00:00<00:00, 30.29it/s]
+Epoch 718/1000:  64%|██████▍   | 23/36 [00:00<00:00, 36.92it/s]
+Epoch 718/1000:  81%|████████  | 29/36 [00:00<00:00, 41.63it/s]
+Epoch 718/1000:  94%|█████████▍| 34/36 [00:01<00:00, 43.51it/s]
+Epoch 718/1000: 100%|██████████| 36/36 [00:01<00:00, 30.04it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 719/1000:   3%|▎         | 1/36 [00:00<00:14,  2.35it/s]
+Epoch 719/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.26it/s]
+Epoch 719/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.03it/s]
+Epoch 719/1000:  44%|████▍     | 16/36 [00:00<00:00, 27.15it/s]
+Epoch 719/1000:  58%|█████▊    | 21/36 [00:00<00:00, 32.34it/s]
+Epoch 719/1000:  69%|██████▉   | 25/36 [00:00<00:00, 34.12it/s]
+Epoch 719/1000:  83%|████████▎ | 30/36 [00:01<00:00, 37.47it/s]
+Epoch 719/1000: 100%|██████████| 36/36 [00:01<00:00, 42.17it/s]
+Epoch 719/1000: 100%|██████████| 36/36 [00:01<00:00, 27.84it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 720/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.39it/s]
+Epoch 720/1000:  36%|███▌      | 13/36 [00:00<00:00, 26.70it/s]
+Epoch 720/1000:  53%|█████▎    | 19/36 [00:00<00:00, 35.08it/s]
+Epoch 720/1000:  67%|██████▋   | 24/36 [00:00<00:00, 37.40it/s]
+Epoch 720/1000:  83%|████████▎ | 30/36 [00:00<00:00, 42.07it/s]
+Epoch 720/1000: 100%|██████████| 36/36 [00:01<00:00, 29.55it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 721/1000:   3%|▎         | 1/36 [00:00<00:15,  2.26it/s]
+Epoch 721/1000:  22%|██▏       | 8/36 [00:00<00:01, 18.49it/s]
+Epoch 721/1000:  39%|███▉      | 14/36 [00:00<00:00, 28.51it/s]
+Epoch 721/1000:  53%|█████▎    | 19/36 [00:00<00:00, 33.66it/s]
+Epoch 721/1000:  69%|██████▉   | 25/36 [00:00<00:00, 40.22it/s]
+Epoch 721/1000:  86%|████████▌ | 31/36 [00:00<00:00, 42.68it/s]
+Epoch 721/1000: 100%|██████████| 36/36 [00:01<00:00, 31.19it/s]
+epoch: 720, beta = 0.004900, Train MSE: 0.000613, Train CE:0.000002, Train KL:1.047927, Val MSE:0.000646, Val CE:0.000038, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 722/1000:   3%|▎         | 1/36 [00:00<00:14,  2.43it/s]
+Epoch 722/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.59it/s]
+Epoch 722/1000:  33%|███▎      | 12/36 [00:00<00:01, 23.49it/s]
+Epoch 722/1000:  47%|████▋     | 17/36 [00:00<00:00, 29.38it/s]
+Epoch 722/1000:  61%|██████    | 22/36 [00:00<00:00, 33.33it/s]
+Epoch 722/1000:  78%|███████▊  | 28/36 [00:01<00:00, 38.80it/s]
+Epoch 722/1000:  92%|█████████▏| 33/36 [00:01<00:00, 38.39it/s]
+Epoch 722/1000: 100%|██████████| 36/36 [00:01<00:00, 27.80it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 723/1000:   3%|▎         | 1/36 [00:00<00:14,  2.38it/s]
+Epoch 723/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.18it/s]
+Epoch 723/1000:  31%|███       | 11/36 [00:00<00:01, 22.67it/s]
+Epoch 723/1000:  42%|████▏     | 15/36 [00:00<00:00, 25.77it/s]
+Epoch 723/1000:  56%|█████▌    | 20/36 [00:00<00:00, 31.92it/s]
+Epoch 723/1000:  69%|██████▉   | 25/36 [00:00<00:00, 35.03it/s]
+Epoch 723/1000:  83%|████████▎ | 30/36 [00:01<00:00, 38.19it/s]
+Epoch 723/1000:  97%|█████████▋| 35/36 [00:01<00:00, 39.77it/s]
+Epoch 723/1000: 100%|██████████| 36/36 [00:01<00:00, 27.44it/s]
+epoch: 722, beta = 0.004900, Train MSE: 0.000618, Train CE:0.000102, Train KL:1.050525, Val MSE:0.000609, Val CE:0.000010, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 724/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 724/1000:   3%|▎         | 1/36 [00:00<00:12,  2.91it/s]
+Epoch 724/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.46it/s]
+Epoch 724/1000:  36%|███▌      | 13/36 [00:00<00:00, 30.65it/s]
+Epoch 724/1000:  53%|█████▎    | 19/36 [00:00<00:00, 38.24it/s]
+Epoch 724/1000:  69%|██████▉   | 25/36 [00:00<00:00, 43.73it/s]
+Epoch 724/1000:  86%|████████▌ | 31/36 [00:00<00:00, 46.60it/s]
+Epoch 724/1000: 100%|██████████| 36/36 [00:01<00:00, 35.22it/s]
+epoch: 723, beta = 0.004900, Train MSE: 0.000610, Train CE:0.000008, Train KL:1.051113, Val MSE:0.000648, Val CE:0.000063, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 725/1000:   3%|▎         | 1/36 [00:00<00:12,  2.79it/s]
+Epoch 725/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.76it/s]
+Epoch 725/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.70it/s]
+Epoch 725/1000:  50%|█████     | 18/36 [00:00<00:00, 36.67it/s]
+Epoch 725/1000:  67%|██████▋   | 24/36 [00:00<00:00, 40.99it/s]
+Epoch 725/1000:  81%|████████  | 29/36 [00:00<00:00, 43.41it/s]
+Epoch 725/1000: 100%|██████████| 36/36 [00:01<00:00, 49.55it/s]
+Epoch 725/1000: 100%|██████████| 36/36 [00:01<00:00, 32.53it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 726/1000:   3%|▎         | 1/36 [00:00<00:13,  2.63it/s]
+Epoch 726/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.53it/s]
+Epoch 726/1000:  31%|███       | 11/36 [00:00<00:01, 23.77it/s]
+Epoch 726/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.21it/s]
+Epoch 726/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.30it/s]
+Epoch 726/1000:  86%|████████▌ | 31/36 [00:00<00:00, 48.44it/s]
+Epoch 726/1000: 100%|██████████| 36/36 [00:01<00:00, 33.50it/s]
+epoch: 725, beta = 0.004900, Train MSE: 0.000640, Train CE:0.000083, Train KL:1.048036, Val MSE:0.000604, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 727/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 727/1000:   3%|▎         | 1/36 [00:00<00:14,  2.47it/s]
+Epoch 727/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.73it/s]
+Epoch 727/1000:  36%|███▌      | 13/36 [00:00<00:00, 27.21it/s]
+Epoch 727/1000:  53%|█████▎    | 19/36 [00:00<00:00, 35.59it/s]
+Epoch 727/1000:  69%|██████▉   | 25/36 [00:00<00:00, 40.77it/s]
+Epoch 727/1000:  86%|████████▌ | 31/36 [00:00<00:00, 45.68it/s]
+Epoch 727/1000: 100%|██████████| 36/36 [00:01<00:00, 31.19it/s]
+Learning rate updated: 3.564793225056019e-05
+epoch: 726, beta = 0.004900, Train MSE: 0.000599, Train CE:0.000040, Train KL:1.052178, Val MSE:0.000718, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 728/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 728/1000:   3%|▎         | 1/36 [00:00<00:12,  2.77it/s]
+Epoch 728/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.04it/s]
+Epoch 728/1000:  31%|███       | 11/36 [00:00<00:00, 25.08it/s]
+Epoch 728/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.79it/s]
+Epoch 728/1000:  64%|██████▍   | 23/36 [00:00<00:00, 40.48it/s]
+Epoch 728/1000:  83%|████████▎ | 30/36 [00:00<00:00, 46.93it/s]
+Epoch 728/1000: 100%|██████████| 36/36 [00:01<00:00, 34.04it/s]
+epoch: 727, beta = 0.004900, Train MSE: 0.000696, Train CE:0.000001, Train KL:1.051843, Val MSE:0.000630, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 729/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 729/1000:   3%|▎         | 1/36 [00:00<00:13,  2.67it/s]
+Epoch 729/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.47it/s]
+Epoch 729/1000:  36%|███▌      | 13/36 [00:00<00:00, 30.21it/s]
+Epoch 729/1000:  56%|█████▌    | 20/36 [00:00<00:00, 40.36it/s]
+Epoch 729/1000:  78%|███████▊  | 28/36 [00:00<00:00, 49.45it/s]
+Epoch 729/1000:  97%|█████████▋| 35/36 [00:00<00:00, 52.88it/s]
+Epoch 729/1000: 100%|██████████| 36/36 [00:01<00:00, 35.19it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 730/1000:   3%|▎         | 1/36 [00:00<00:11,  3.10it/s]
+Epoch 730/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.52it/s]
+Epoch 730/1000:  36%|███▌      | 13/36 [00:00<00:00, 31.18it/s]
+Epoch 730/1000:  50%|█████     | 18/36 [00:00<00:00, 34.15it/s]
+Epoch 730/1000:  67%|██████▋   | 24/36 [00:00<00:00, 41.29it/s]
+Epoch 730/1000:  86%|████████▌ | 31/36 [00:00<00:00, 48.37it/s]
+Epoch 730/1000: 100%|██████████| 36/36 [00:01<00:00, 35.22it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 731/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 729, beta = 0.004900, Train MSE: 0.000611, Train CE:0.000002, Train KL:1.051034, Val MSE:0.000675, Val CE:0.000024, Train ACC:1.000000, Val ACC:0.999972
+
+Epoch 731/1000:   3%|▎         | 1/36 [00:00<00:13,  2.55it/s]
+Epoch 731/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.64it/s]
+Epoch 731/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.43it/s]
+Epoch 731/1000:  50%|█████     | 18/36 [00:00<00:00, 33.01it/s]
+Epoch 731/1000:  69%|██████▉   | 25/36 [00:00<00:00, 41.17it/s]
+Epoch 731/1000:  86%|████████▌ | 31/36 [00:00<00:00, 45.26it/s]
+Epoch 731/1000: 100%|██████████| 36/36 [00:01<00:00, 31.24it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]epoch: 730, beta = 0.004900, Train MSE: 0.000621, Train CE:0.000044, Train KL:1.052323, Val MSE:0.000648, Val CE:0.000043, Train ACC:1.000000, Val ACC:0.999972
+
+Epoch 732/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 732/1000:   3%|▎         | 1/36 [00:00<00:12,  2.91it/s]
+Epoch 732/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.99it/s]
+Epoch 732/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.43it/s]
+Epoch 732/1000:  50%|█████     | 18/36 [00:00<00:00, 35.26it/s]
+Epoch 732/1000:  67%|██████▋   | 24/36 [00:00<00:00, 39.49it/s]
+Epoch 732/1000:  83%|████████▎ | 30/36 [00:00<00:00, 44.22it/s]
+Epoch 732/1000: 100%|██████████| 36/36 [00:01<00:00, 33.25it/s]
+epoch: 731, beta = 0.004900, Train MSE: 0.000617, Train CE:0.000001, Train KL:1.053236, Val MSE:0.000614, Val CE:0.000187, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 733/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 733/1000:   3%|▎         | 1/36 [00:00<00:15,  2.32it/s]
+Epoch 733/1000:  19%|█▉        | 7/36 [00:00<00:01, 15.83it/s]
+Epoch 733/1000:  36%|███▌      | 13/36 [00:00<00:00, 26.71it/s]
+Epoch 733/1000:  53%|█████▎    | 19/36 [00:00<00:00, 34.80it/s]
+Epoch 733/1000:  69%|██████▉   | 25/36 [00:00<00:00, 40.02it/s]
+Epoch 733/1000:  86%|████████▌ | 31/36 [00:00<00:00, 45.11it/s]
+Epoch 733/1000: 100%|██████████| 36/36 [00:01<00:00, 31.88it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 734/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 734/1000:   3%|▎         | 1/36 [00:00<00:13,  2.50it/s]
+Epoch 734/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.27it/s]
+Epoch 734/1000:  31%|███       | 11/36 [00:00<00:01, 24.44it/s]
+Epoch 734/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.49it/s]
+Epoch 734/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.77it/s]
+Epoch 734/1000:  78%|███████▊  | 28/36 [00:00<00:00, 42.37it/s]
+Epoch 734/1000:  92%|█████████▏| 33/36 [00:01<00:00, 43.56it/s]
+Epoch 734/1000: 100%|██████████| 36/36 [00:01<00:00, 29.55it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 735/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 735/1000:   3%|▎         | 1/36 [00:00<00:17,  2.05it/s]
+Epoch 735/1000:  22%|██▏       | 8/36 [00:00<00:01, 17.07it/s]
+Epoch 735/1000:  42%|████▏     | 15/36 [00:00<00:00, 29.60it/s]
+Epoch 735/1000:  61%|██████    | 22/36 [00:00<00:00, 38.02it/s]
+Epoch 735/1000:  78%|███████▊  | 28/36 [00:00<00:00, 42.03it/s]
+Epoch 735/1000:  94%|█████████▍| 34/36 [00:01<00:00, 44.22it/s]
+Epoch 735/1000: 100%|██████████| 36/36 [00:01<00:00, 30.74it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 736/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 736/1000:   3%|▎         | 1/36 [00:00<00:13,  2.57it/s]
+Epoch 736/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.93it/s]
+Epoch 736/1000:  31%|███       | 11/36 [00:00<00:01, 23.90it/s]
+Epoch 736/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.57it/s]
+Epoch 736/1000:  61%|██████    | 22/36 [00:00<00:00, 37.90it/s]
+Epoch 736/1000:  75%|███████▌  | 27/36 [00:00<00:00, 40.64it/s]
+Epoch 736/1000:  92%|█████████▏| 33/36 [00:01<00:00, 45.21it/s]
+Epoch 736/1000: 100%|██████████| 36/36 [00:01<00:00, 30.69it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 737/1000:   3%|▎         | 1/36 [00:00<00:12,  2.86it/s]
+Epoch 737/1000:  22%|██▏       | 8/36 [00:00<00:01, 21.58it/s]
+Epoch 737/1000:  39%|███▉      | 14/36 [00:00<00:00, 31.95it/s]
+Epoch 737/1000:  56%|█████▌    | 20/36 [00:00<00:00, 39.60it/s]
+Epoch 737/1000:  72%|███████▏  | 26/36 [00:00<00:00, 43.27it/s]
+Epoch 737/1000:  89%|████████▉ | 32/36 [00:00<00:00, 44.61it/s]
+Epoch 737/1000: 100%|██████████| 36/36 [00:01<00:00, 34.37it/s]
+epoch: 736, beta = 0.004900, Train MSE: 0.000597, Train CE:0.000001, Train KL:1.054739, Val MSE:0.000608, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 738/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 738/1000:   3%|▎         | 1/36 [00:00<00:14,  2.37it/s]
+Epoch 738/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.67it/s]
+Epoch 738/1000:  36%|███▌      | 13/36 [00:00<00:00, 27.32it/s]
+Epoch 738/1000:  53%|█████▎    | 19/36 [00:00<00:00, 33.77it/s]
+Epoch 738/1000:  69%|██████▉   | 25/36 [00:00<00:00, 39.49it/s]
+Epoch 738/1000:  86%|████████▌ | 31/36 [00:00<00:00, 43.96it/s]
+Epoch 738/1000: 100%|██████████| 36/36 [00:01<00:00, 30.56it/s]
+Learning rate updated: 3.3865535638032174e-05
+epoch: 737, beta = 0.004900, Train MSE: 0.000614, Train CE:0.000001, Train KL:1.052260, Val MSE:0.000609, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 739/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 739/1000:   3%|▎         | 1/36 [00:00<00:11,  2.94it/s]
+Epoch 739/1000:  25%|██▌       | 9/36 [00:00<00:01, 24.71it/s]
+Epoch 739/1000:  39%|███▉      | 14/36 [00:00<00:00, 30.33it/s]
+Epoch 739/1000:  56%|█████▌    | 20/36 [00:00<00:00, 37.46it/s]
+Epoch 739/1000:  69%|██████▉   | 25/36 [00:00<00:00, 40.88it/s]
+Epoch 739/1000:  83%|████████▎ | 30/36 [00:00<00:00, 43.04it/s]
+Epoch 739/1000:  97%|█████████▋| 35/36 [00:00<00:00, 44.74it/s]
+Epoch 739/1000: 100%|██████████| 36/36 [00:01<00:00, 32.36it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 740/1000:   3%|▎         | 1/36 [00:00<00:11,  2.97it/s]
+Epoch 740/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.71it/s]
+Epoch 740/1000:  36%|███▌      | 13/36 [00:00<00:00, 30.18it/s]
+Epoch 740/1000:  50%|█████     | 18/36 [00:00<00:00, 34.92it/s]
+Epoch 740/1000:  67%|██████▋   | 24/36 [00:00<00:00, 40.70it/s]
+Epoch 740/1000:  83%|████████▎ | 30/36 [00:00<00:00, 43.81it/s]
+Epoch 740/1000: 100%|██████████| 36/36 [00:01<00:00, 47.03it/s]
+Epoch 740/1000: 100%|██████████| 36/36 [00:01<00:00, 32.78it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 741/1000:   3%|▎         | 1/36 [00:00<00:11,  2.98it/s]
+Epoch 741/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.53it/s]
+Epoch 741/1000:  36%|███▌      | 13/36 [00:00<00:00, 30.19it/s]
+Epoch 741/1000:  53%|█████▎    | 19/36 [00:00<00:00, 37.05it/s]
+Epoch 741/1000:  67%|██████▋   | 24/36 [00:00<00:00, 40.68it/s]
+Epoch 741/1000:  81%|████████  | 29/36 [00:00<00:00, 41.89it/s]
+Epoch 741/1000:  97%|█████████▋| 35/36 [00:00<00:00, 46.46it/s]
+Epoch 741/1000: 100%|██████████| 36/36 [00:01<00:00, 33.40it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 742/1000:   3%|▎         | 1/36 [00:00<00:11,  3.00it/s]
+Epoch 742/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.60it/s]
+Epoch 742/1000:  31%|███       | 11/36 [00:00<00:00, 25.44it/s]
+Epoch 742/1000:  44%|████▍     | 16/36 [00:00<00:00, 32.35it/s]
+Epoch 742/1000:  58%|█████▊    | 21/36 [00:00<00:00, 37.17it/s]
+Epoch 742/1000:  72%|███████▏  | 26/36 [00:00<00:00, 40.48it/s]
+Epoch 742/1000:  86%|████████▌ | 31/36 [00:00<00:00, 42.21it/s]
+Epoch 742/1000: 100%|██████████| 36/36 [00:01<00:00, 30.83it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 743/1000:   3%|▎         | 1/36 [00:00<00:14,  2.42it/s]
+Epoch 743/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.41it/s]
+Epoch 743/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.88it/s]
+Epoch 743/1000:  50%|█████     | 18/36 [00:00<00:00, 33.42it/s]
+Epoch 743/1000:  67%|██████▋   | 24/36 [00:00<00:00, 38.84it/s]
+Epoch 743/1000:  83%|████████▎ | 30/36 [00:00<00:00, 42.92it/s]
+Epoch 743/1000: 100%|██████████| 36/36 [00:01<00:00, 46.16it/s]
+Epoch 743/1000: 100%|██████████| 36/36 [00:01<00:00, 29.16it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 744/1000:   3%|▎         | 1/36 [00:00<00:11,  3.01it/s]
+Epoch 744/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.18it/s]
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+Epoch 744/1000:  83%|████████▎ | 30/36 [00:00<00:00, 44.36it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 745/1000:  61%|██████    | 22/36 [00:00<00:00, 43.99it/s]
+Epoch 745/1000:  81%|████████  | 29/36 [00:00<00:00, 49.81it/s]
+Epoch 745/1000:  97%|█████████▋| 35/36 [00:00<00:00, 52.58it/s]
+Epoch 745/1000: 100%|██████████| 36/36 [00:00<00:00, 36.12it/s]
+epoch: 744, beta = 0.004900, Train MSE: 0.000647, Train CE:0.000004, Train KL:1.053012, Val MSE:0.000590, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 746/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 746/1000:   3%|▎         | 1/36 [00:00<00:12,  2.79it/s]
+Epoch 746/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.40it/s]
+Epoch 746/1000:  31%|███       | 11/36 [00:00<00:01, 24.28it/s]
+Epoch 746/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.17it/s]
+Epoch 746/1000:  67%|██████▋   | 24/36 [00:00<00:00, 42.34it/s]
+Epoch 746/1000:  86%|████████▌ | 31/36 [00:00<00:00, 49.15it/s]
+Epoch 746/1000: 100%|██████████| 36/36 [00:01<00:00, 32.28it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 747/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 747/1000:   3%|▎         | 1/36 [00:00<00:17,  1.99it/s]
+Epoch 747/1000:  14%|█▍        | 5/36 [00:00<00:03, 10.03it/s]
+Epoch 747/1000:  31%|███       | 11/36 [00:00<00:01, 20.55it/s]
+Epoch 747/1000:  44%|████▍     | 16/36 [00:00<00:00, 26.94it/s]
+Epoch 747/1000:  58%|█████▊    | 21/36 [00:00<00:00, 31.31it/s]
+Epoch 747/1000:  72%|███████▏  | 26/36 [00:01<00:00, 35.57it/s]
+Epoch 747/1000:  86%|████████▌ | 31/36 [00:01<00:00, 38.18it/s]
+Epoch 747/1000: 100%|██████████| 36/36 [00:01<00:00, 36.68it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 748/1000:   3%|▎         | 1/36 [00:00<00:13,  2.67it/s]
+Epoch 748/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.57it/s]
+Epoch 748/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.17it/s]
+Epoch 748/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.26it/s]
+Epoch 748/1000:  61%|██████    | 22/36 [00:00<00:00, 36.32it/s]
+Epoch 748/1000:  75%|███████▌  | 27/36 [00:00<00:00, 39.80it/s]
+Epoch 748/1000:  89%|████████▉ | 32/36 [00:01<00:00, 40.77it/s]
+Epoch 748/1000: 100%|██████████| 36/36 [00:01<00:00, 30.88it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 749/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 749/1000:   3%|▎         | 1/36 [00:00<00:13,  2.64it/s]
+Epoch 749/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.52it/s]
+Epoch 749/1000:  36%|███▌      | 13/36 [00:00<00:00, 29.71it/s]
+Epoch 749/1000:  53%|█████▎    | 19/36 [00:00<00:00, 36.49it/s]
+Epoch 749/1000:  67%|██████▋   | 24/36 [00:00<00:00, 39.21it/s]
+Epoch 749/1000:  81%|████████  | 29/36 [00:00<00:00, 41.03it/s]
+Epoch 749/1000:  94%|█████████▍| 34/36 [00:01<00:00, 43.11it/s]
+Epoch 749/1000: 100%|██████████| 36/36 [00:01<00:00, 31.04it/s]
+Learning rate updated: 3.2172258856130564e-05
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 750/1000:   3%|▎         | 1/36 [00:00<00:15,  2.32it/s]
+Epoch 750/1000:  22%|██▏       | 8/36 [00:00<00:01, 18.23it/s]
+Epoch 750/1000:  39%|███▉      | 14/36 [00:00<00:00, 28.14it/s]
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+Epoch 750/1000:  69%|██████▉   | 25/36 [00:00<00:00, 38.50it/s]
+Epoch 750/1000:  86%|████████▌ | 31/36 [00:01<00:00, 42.29it/s]
+Epoch 750/1000: 100%|██████████| 36/36 [00:01<00:00, 44.09it/s]
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+
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+Epoch 752/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.82it/s]
+Epoch 752/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.06it/s]
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+Epoch 752/1000:  61%|██████    | 22/36 [00:00<00:00, 37.02it/s]
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+Epoch 752/1000:  89%|████████▉ | 32/36 [00:00<00:00, 43.04it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 754/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.06it/s]
+Epoch 754/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.09it/s]
+Epoch 754/1000:  50%|█████     | 18/36 [00:00<00:00, 33.91it/s]
+Epoch 754/1000:  64%|██████▍   | 23/36 [00:00<00:00, 38.08it/s]
+Epoch 754/1000:  81%|████████  | 29/36 [00:00<00:00, 42.64it/s]
+Epoch 754/1000: 100%|██████████| 36/36 [00:01<00:00, 47.50it/s]
+Epoch 754/1000: 100%|██████████| 36/36 [00:01<00:00, 31.86it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 755/1000:  17%|█▋        | 6/36 [00:00<00:02, 11.93it/s]
+Epoch 755/1000:  31%|███       | 11/36 [00:00<00:01, 20.69it/s]
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+Epoch 756/1000:   3%|▎         | 1/36 [00:00<00:13,  2.66it/s]
+Epoch 756/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.55it/s]
+Epoch 756/1000:  28%|██▊       | 10/36 [00:00<00:01, 22.76it/s]
+Epoch 756/1000:  44%|████▍     | 16/36 [00:00<00:00, 32.50it/s]
+Epoch 756/1000:  61%|██████    | 22/36 [00:00<00:00, 39.83it/s]
+Epoch 756/1000:  81%|████████  | 29/36 [00:00<00:00, 46.55it/s]
+Epoch 756/1000:  97%|█████████▋| 35/36 [00:01<00:00, 49.03it/s]
+Epoch 756/1000: 100%|██████████| 36/36 [00:01<00:00, 31.65it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+
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+Epoch 757/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.72it/s]
+Epoch 757/1000:  39%|███▉      | 14/36 [00:00<00:00, 32.06it/s]
+Epoch 757/1000:  58%|█████▊    | 21/36 [00:00<00:00, 41.26it/s]
+Epoch 757/1000:  78%|███████▊  | 28/36 [00:00<00:00, 48.13it/s]
+Epoch 757/1000:  94%|█████████▍| 34/36 [00:00<00:00, 47.72it/s]
+Epoch 757/1000: 100%|██████████| 36/36 [00:01<00:00, 34.95it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 758/1000:  58%|█████▊    | 21/36 [00:00<00:00, 40.10it/s]
+Epoch 758/1000:  78%|███████▊  | 28/36 [00:00<00:00, 45.67it/s]
+Epoch 758/1000:  94%|█████████▍| 34/36 [00:00<00:00, 46.35it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 759/1000:   3%|▎         | 1/36 [00:00<00:11,  3.10it/s]
+Epoch 759/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.21it/s]
+Epoch 759/1000:  36%|███▌      | 13/36 [00:00<00:00, 32.41it/s]
+Epoch 759/1000:  56%|█████▌    | 20/36 [00:00<00:00, 41.65it/s]
+Epoch 759/1000:  72%|███████▏  | 26/36 [00:00<00:00, 42.90it/s]
+Epoch 759/1000:  86%|████████▌ | 31/36 [00:00<00:00, 42.24it/s]
+Epoch 759/1000: 100%|██████████| 36/36 [00:01<00:00, 42.06it/s]
+Epoch 759/1000: 100%|██████████| 36/36 [00:01<00:00, 32.34it/s]
+epoch: 758, beta = 0.004900, Train MSE: 0.000628, Train CE:0.000003, Train KL:1.046914, Val MSE:0.000731, Val CE:0.000020, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 760/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 760/1000:   3%|▎         | 1/36 [00:00<00:13,  2.57it/s]
+Epoch 760/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.48it/s]
+Epoch 760/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.96it/s]
+Epoch 760/1000:  56%|█████▌    | 20/36 [00:00<00:00, 38.38it/s]
+Epoch 760/1000:  72%|███████▏  | 26/36 [00:00<00:00, 44.20it/s]
+Epoch 760/1000:  89%|████████▉ | 32/36 [00:00<00:00, 45.03it/s]
+Epoch 760/1000: 100%|██████████| 36/36 [00:01<00:00, 31.84it/s]
+Learning rate updated: 3.056364591332403e-05
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 761/1000:   3%|▎         | 1/36 [00:00<00:11,  2.95it/s]
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+Epoch 761/1000:  50%|█████     | 18/36 [00:00<00:00, 33.79it/s]
+Epoch 761/1000:  67%|██████▋   | 24/36 [00:00<00:00, 39.77it/s]
+Epoch 761/1000:  83%|████████▎ | 30/36 [00:00<00:00, 43.58it/s]
+Epoch 761/1000: 100%|██████████| 36/36 [00:01<00:00, 47.09it/s]
+Epoch 761/1000: 100%|██████████| 36/36 [00:01<00:00, 32.93it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 762/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.09it/s]
+Epoch 762/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.68it/s]
+Epoch 762/1000:  53%|█████▎    | 19/36 [00:00<00:00, 36.49it/s]
+Epoch 762/1000:  72%|███████▏  | 26/36 [00:00<00:00, 45.80it/s]
+Epoch 762/1000:  89%|████████▉ | 32/36 [00:00<00:00, 47.08it/s]
+Epoch 762/1000: 100%|██████████| 36/36 [00:01<00:00, 33.70it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 764/1000:  39%|███▉      | 14/36 [00:00<00:00, 30.93it/s]
+Epoch 764/1000:  56%|█████▌    | 20/36 [00:00<00:00, 38.25it/s]
+Epoch 764/1000:  75%|███████▌  | 27/36 [00:00<00:00, 46.02it/s]
+Epoch 764/1000:  92%|█████████▏| 33/36 [00:00<00:00, 49.64it/s]
+Epoch 764/1000: 100%|██████████| 36/36 [00:01<00:00, 34.11it/s]
+epoch: 763, beta = 0.004900, Train MSE: 0.000613, Train CE:0.000002, Train KL:1.051657, Val MSE:0.000638, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 765/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 765/1000:   3%|▎         | 1/36 [00:00<00:13,  2.56it/s]
+Epoch 765/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.08it/s]
+Epoch 765/1000:  39%|███▉      | 14/36 [00:00<00:00, 30.09it/s]
+Epoch 765/1000:  56%|█████▌    | 20/36 [00:00<00:00, 38.06it/s]
+Epoch 765/1000:  75%|███████▌  | 27/36 [00:00<00:00, 44.52it/s]
+Epoch 765/1000:  92%|█████████▏| 33/36 [00:00<00:00, 45.60it/s]
+Epoch 765/1000: 100%|██████████| 36/36 [00:01<00:00, 32.31it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 766/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 766/1000:   3%|▎         | 1/36 [00:00<00:14,  2.45it/s]
+Epoch 766/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.16it/s]
+Epoch 766/1000:  28%|██▊       | 10/36 [00:00<00:01, 22.07it/s]
+Epoch 766/1000:  44%|████▍     | 16/36 [00:00<00:00, 31.39it/s]
+Epoch 766/1000:  61%|██████    | 22/36 [00:00<00:00, 36.92it/s]
+Epoch 766/1000:  75%|███████▌  | 27/36 [00:00<00:00, 39.12it/s]
+Epoch 766/1000:  89%|████████▉ | 32/36 [00:01<00:00, 41.69it/s]
+Epoch 766/1000: 100%|██████████| 36/36 [00:01<00:00, 29.92it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 767/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 767/1000:   3%|▎         | 1/36 [00:00<00:14,  2.43it/s]
+Epoch 767/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.17it/s]
+Epoch 767/1000:  39%|███▉      | 14/36 [00:00<00:00, 30.34it/s]
+Epoch 767/1000:  53%|█████▎    | 19/36 [00:00<00:00, 35.05it/s]
+Epoch 767/1000:  67%|██████▋   | 24/36 [00:00<00:00, 38.83it/s]
+Epoch 767/1000:  83%|████████▎ | 30/36 [00:00<00:00, 42.75it/s]
+Epoch 767/1000: 100%|██████████| 36/36 [00:01<00:00, 46.97it/s]
+Epoch 767/1000: 100%|██████████| 36/36 [00:01<00:00, 31.76it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 768/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 766, beta = 0.004900, Train MSE: 0.000771, Train CE:0.000058, Train KL:1.049433, Val MSE:0.000599, Val CE:0.000019, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 768/1000:   3%|▎         | 1/36 [00:00<00:13,  2.55it/s]
+Epoch 768/1000:  22%|██▏       | 8/36 [00:00<00:01, 19.82it/s]
+Epoch 768/1000:  36%|███▌      | 13/36 [00:00<00:00, 27.44it/s]
+Epoch 768/1000:  50%|█████     | 18/36 [00:00<00:00, 33.31it/s]
+Epoch 768/1000:  64%|██████▍   | 23/36 [00:00<00:00, 37.37it/s]
+Epoch 768/1000:  78%|███████▊  | 28/36 [00:00<00:00, 39.41it/s]
+Epoch 768/1000:  94%|█████████▍| 34/36 [00:01<00:00, 43.30it/s]
+Epoch 768/1000: 100%|██████████| 36/36 [00:01<00:00, 31.13it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 769/1000:   3%|▎         | 1/36 [00:00<00:11,  2.98it/s]
+Epoch 769/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.13it/s]
+Epoch 769/1000:  36%|███▌      | 13/36 [00:00<00:00, 29.60it/s]
+Epoch 769/1000:  50%|█████     | 18/36 [00:00<00:00, 35.34it/s]
+Epoch 769/1000:  67%|██████▋   | 24/36 [00:00<00:00, 39.61it/s]
+Epoch 769/1000:  81%|████████  | 29/36 [00:00<00:00, 41.41it/s]
+Epoch 769/1000:  97%|█████████▋| 35/36 [00:01<00:00, 44.49it/s]
+Epoch 769/1000: 100%|██████████| 36/36 [00:01<00:00, 32.43it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 770/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 770/1000:   3%|▎         | 1/36 [00:00<00:11,  2.93it/s]
+Epoch 770/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.93it/s]
+Epoch 770/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.79it/s]
+Epoch 770/1000:  50%|█████     | 18/36 [00:00<00:00, 33.39it/s]
+Epoch 770/1000:  67%|██████▋   | 24/36 [00:00<00:00, 39.23it/s]
+Epoch 770/1000:  83%|████████▎ | 30/36 [00:00<00:00, 42.66it/s]
+Epoch 770/1000: 100%|██████████| 36/36 [00:01<00:00, 32.76it/s]
+epoch: 769, beta = 0.004900, Train MSE: 0.000603, Train CE:0.000002, Train KL:1.053413, Val MSE:0.000597, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 771/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 771/1000:   3%|▎         | 1/36 [00:00<00:11,  3.09it/s]
+Epoch 771/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.75it/s]
+Epoch 771/1000:  33%|███▎      | 12/36 [00:00<00:00, 28.13it/s]
+Epoch 771/1000:  50%|█████     | 18/36 [00:00<00:00, 36.19it/s]
+Epoch 771/1000:  67%|██████▋   | 24/36 [00:00<00:00, 42.49it/s]
+Epoch 771/1000:  81%|████████  | 29/36 [00:00<00:00, 43.52it/s]
+Epoch 771/1000: 100%|██████████| 36/36 [00:00<00:00, 49.53it/s]
+Epoch 771/1000: 100%|██████████| 36/36 [00:01<00:00, 33.24it/s]
+Learning rate updated: 2.903546361765783e-05
+epoch: 770, beta = 0.004900, Train MSE: 0.000632, Train CE:0.000011, Train KL:1.050880, Val MSE:0.000611, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 772/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 772/1000:   3%|▎         | 1/36 [00:00<00:13,  2.54it/s]
+Epoch 772/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.77it/s]
+Epoch 772/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.86it/s]
+Epoch 772/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.75it/s]
+Epoch 772/1000:  64%|██████▍   | 23/36 [00:00<00:00, 38.17it/s]
+Epoch 772/1000:  78%|███████▊  | 28/36 [00:00<00:00, 41.32it/s]
+Epoch 772/1000: 100%|██████████| 36/36 [00:01<00:00, 51.04it/s]
+Epoch 772/1000: 100%|██████████| 36/36 [00:01<00:00, 32.52it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 773/1000:   3%|▎         | 1/36 [00:00<00:12,  2.87it/s]
+Epoch 773/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.05it/s]
+Epoch 773/1000:  36%|███▌      | 13/36 [00:00<00:00, 29.46it/s]
+Epoch 773/1000:  50%|█████     | 18/36 [00:00<00:00, 34.50it/s]
+Epoch 773/1000:  67%|██████▋   | 24/36 [00:00<00:00, 39.39it/s]
+Epoch 773/1000:  81%|████████  | 29/36 [00:00<00:00, 41.96it/s]
+Epoch 773/1000:  97%|█████████▋| 35/36 [00:01<00:00, 46.82it/s]
+Epoch 773/1000: 100%|██████████| 36/36 [00:01<00:00, 32.90it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 774/1000:   3%|▎         | 1/36 [00:00<00:12,  2.75it/s]
+Epoch 774/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.99it/s]
+Epoch 774/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.27it/s]
+Epoch 774/1000:  50%|█████     | 18/36 [00:00<00:00, 36.05it/s]
+Epoch 774/1000:  67%|██████▋   | 24/36 [00:00<00:00, 41.69it/s]
+Epoch 774/1000:  81%|████████  | 29/36 [00:00<00:00, 40.91it/s]
+Epoch 774/1000: 100%|██████████| 36/36 [00:01<00:00, 47.37it/s]
+Epoch 774/1000: 100%|██████████| 36/36 [00:01<00:00, 32.67it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 775/1000:   3%|▎         | 1/36 [00:00<00:15,  2.31it/s]
+Epoch 775/1000:  19%|█▉        | 7/36 [00:00<00:01, 15.66it/s]
+Epoch 775/1000:  36%|███▌      | 13/36 [00:00<00:00, 25.38it/s]
+Epoch 775/1000:  56%|█████▌    | 20/36 [00:00<00:00, 35.84it/s]
+Epoch 775/1000:  75%|███████▌  | 27/36 [00:00<00:00, 43.58it/s]
+Epoch 775/1000:  92%|█████████▏| 33/36 [00:01<00:00, 44.76it/s]
+Epoch 775/1000: 100%|██████████| 36/36 [00:01<00:00, 30.68it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 776/1000:   3%|▎         | 1/36 [00:00<00:14,  2.37it/s]
+Epoch 776/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.90it/s]
+Epoch 776/1000:  39%|███▉      | 14/36 [00:00<00:00, 30.28it/s]
+Epoch 776/1000:  61%|██████    | 22/36 [00:00<00:00, 42.05it/s]
+Epoch 776/1000:  81%|████████  | 29/36 [00:00<00:00, 48.64it/s]
+Epoch 776/1000: 100%|██████████| 36/36 [00:01<00:00, 46.36it/s]
+Epoch 776/1000: 100%|██████████| 36/36 [00:01<00:00, 32.30it/s]
+epoch: 775, beta = 0.004900, Train MSE: 0.000613, Train CE:0.000001, Train KL:1.053788, Val MSE:0.000592, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 777/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 777/1000:   3%|▎         | 1/36 [00:00<00:11,  3.16it/s]
+Epoch 777/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.31it/s]
+Epoch 777/1000:  39%|███▉      | 14/36 [00:00<00:00, 34.74it/s]
+Epoch 777/1000:  58%|█████▊    | 21/36 [00:00<00:00, 44.02it/s]
+Epoch 777/1000:  75%|███████▌  | 27/36 [00:00<00:00, 47.18it/s]
+Epoch 777/1000:  92%|█████████▏| 33/36 [00:00<00:00, 47.70it/s]
+Epoch 777/1000: 100%|██████████| 36/36 [00:01<00:00, 35.23it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
+
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+Epoch 778/1000:   3%|▎         | 1/36 [00:00<00:16,  2.11it/s]
+Epoch 778/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.11it/s]
+Epoch 778/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.56it/s]
+Epoch 778/1000:  50%|█████     | 18/36 [00:00<00:00, 33.64it/s]
+Epoch 778/1000:  64%|██████▍   | 23/36 [00:00<00:00, 37.80it/s]
+Epoch 778/1000:  78%|███████▊  | 28/36 [00:00<00:00, 40.41it/s]
+Epoch 778/1000:  92%|█████████▏| 33/36 [00:01<00:00, 42.80it/s]
+Epoch 778/1000: 100%|██████████| 36/36 [00:01<00:00, 29.06it/s]
+epoch: 777, beta = 0.004900, Train MSE: 0.000620, Train CE:0.000002, Train KL:1.051596, Val MSE:0.000642, Val CE:0.000076, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 779/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 779/1000:   3%|▎         | 1/36 [00:00<00:14,  2.36it/s]
+Epoch 779/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.21it/s]
+Epoch 779/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.10it/s]
+Epoch 779/1000:  50%|█████     | 18/36 [00:00<00:00, 33.50it/s]
+Epoch 779/1000:  67%|██████▋   | 24/36 [00:00<00:00, 38.71it/s]
+Epoch 779/1000:  81%|████████  | 29/36 [00:00<00:00, 41.10it/s]
+Epoch 779/1000:  97%|█████████▋| 35/36 [00:01<00:00, 44.06it/s]
+Epoch 779/1000: 100%|██████████| 36/36 [00:01<00:00, 30.11it/s]
+epoch: 778, beta = 0.004900, Train MSE: 0.000656, Train CE:0.000001, Train KL:1.049410, Val MSE:0.000603, Val CE:0.000120, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 780/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 780/1000:   3%|▎         | 1/36 [00:00<00:12,  2.88it/s]
+Epoch 780/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.62it/s]
+Epoch 780/1000:  36%|███▌      | 13/36 [00:00<00:00, 32.12it/s]
+Epoch 780/1000:  56%|█████▌    | 20/36 [00:00<00:00, 42.12it/s]
+Epoch 780/1000:  72%|███████▏  | 26/36 [00:00<00:00, 45.96it/s]
+Epoch 780/1000:  92%|█████████▏| 33/36 [00:00<00:00, 51.08it/s]
+Epoch 780/1000: 100%|██████████| 36/36 [00:00<00:00, 36.34it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 781/1000:   3%|▎         | 1/36 [00:00<00:12,  2.77it/s]
+Epoch 781/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.68it/s]
+Epoch 781/1000:  36%|███▌      | 13/36 [00:00<00:00, 30.64it/s]
+Epoch 781/1000:  53%|█████▎    | 19/36 [00:00<00:00, 38.41it/s]
+Epoch 781/1000:  69%|██████▉   | 25/36 [00:00<00:00, 43.25it/s]
+Epoch 781/1000:  86%|████████▌ | 31/36 [00:00<00:00, 42.31it/s]
+Epoch 781/1000: 100%|██████████| 36/36 [00:01<00:00, 33.17it/s]
+epoch: 780, beta = 0.004900, Train MSE: 0.000616, Train CE:0.000001, Train KL:1.049622, Val MSE:0.000605, Val CE:0.000080, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 782/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 782/1000:   3%|▎         | 1/36 [00:00<00:16,  2.08it/s]
+Epoch 782/1000:  11%|█         | 4/36 [00:00<00:03,  8.02it/s]
+Epoch 782/1000:  19%|█▉        | 7/36 [00:00<00:02, 13.02it/s]
+Epoch 782/1000:  36%|███▌      | 13/36 [00:00<00:00, 24.12it/s]
+Epoch 782/1000:  53%|█████▎    | 19/36 [00:00<00:00, 32.96it/s]
+Epoch 782/1000:  67%|██████▋   | 24/36 [00:01<00:00, 34.08it/s]
+Epoch 782/1000:  81%|████████  | 29/36 [00:01<00:00, 34.82it/s]
+Epoch 782/1000:  94%|█████████▍| 34/36 [00:01<00:00, 38.31it/s]
+Epoch 782/1000: 100%|██████████| 36/36 [00:01<00:00, 25.00it/s]
+Learning rate updated: 2.758369043677494e-05
+epoch: 781, beta = 0.004900, Train MSE: 0.000593, Train CE:0.000177, Train KL:1.054502, Val MSE:0.000587, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 783/1000:   3%|▎         | 1/36 [00:00<00:15,  2.26it/s]
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+Epoch 783/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.29it/s]
+Epoch 783/1000:  47%|████▋     | 17/36 [00:00<00:00, 30.90it/s]
+Epoch 783/1000:  61%|██████    | 22/36 [00:00<00:00, 35.16it/s]
+Epoch 783/1000:  78%|███████▊  | 28/36 [00:00<00:00, 40.37it/s]
+Epoch 783/1000:  92%|█████████▏| 33/36 [00:01<00:00, 42.58it/s]
+Epoch 783/1000: 100%|██████████| 36/36 [00:01<00:00, 29.29it/s]
+epoch: 782, beta = 0.004900, Train MSE: 0.000606, Train CE:0.000002, Train KL:1.054737, Val MSE:0.000615, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
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+Epoch 784/1000:   3%|▎         | 1/36 [00:00<00:11,  3.17it/s]
+Epoch 784/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.91it/s]
+Epoch 784/1000:  31%|███       | 11/36 [00:00<00:00, 25.92it/s]
+Epoch 784/1000:  47%|████▋     | 17/36 [00:00<00:00, 34.72it/s]
+Epoch 784/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.77it/s]
+Epoch 784/1000:  81%|████████  | 29/36 [00:00<00:00, 43.32it/s]
+Epoch 784/1000:  97%|█████████▋| 35/36 [00:00<00:00, 47.36it/s]
+Epoch 784/1000: 100%|██████████| 36/36 [00:01<00:00, 33.53it/s]
+epoch: 783, beta = 0.004900, Train MSE: 0.000599, Train CE:0.000001, Train KL:1.052913, Val MSE:0.000618, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 785/1000:   3%|▎         | 1/36 [00:00<00:12,  2.75it/s]
+Epoch 785/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.75it/s]
+Epoch 785/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.95it/s]
+Epoch 785/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.63it/s]
+Epoch 785/1000:  61%|██████    | 22/36 [00:00<00:00, 36.22it/s]
+Epoch 785/1000:  75%|███████▌  | 27/36 [00:00<00:00, 39.74it/s]
+Epoch 785/1000:  92%|█████████▏| 33/36 [00:01<00:00, 43.86it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 786/1000:   3%|▎         | 1/36 [00:00<00:10,  3.36it/s]
+Epoch 786/1000:  22%|██▏       | 8/36 [00:00<00:01, 24.23it/s]
+Epoch 786/1000:  36%|███▌      | 13/36 [00:00<00:00, 31.70it/s]
+Epoch 786/1000:  50%|█████     | 18/36 [00:00<00:00, 36.54it/s]
+Epoch 786/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.12it/s]
+Epoch 786/1000:  78%|███████▊  | 28/36 [00:00<00:00, 41.24it/s]
+Epoch 786/1000:  94%|█████████▍| 34/36 [00:00<00:00, 44.98it/s]
+Epoch 786/1000: 100%|██████████| 36/36 [00:01<00:00, 34.35it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 787/1000:   3%|▎         | 1/36 [00:00<00:11,  2.98it/s]
+Epoch 787/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.01it/s]
+Epoch 787/1000:  33%|███▎      | 12/36 [00:00<00:00, 29.56it/s]
+Epoch 787/1000:  50%|█████     | 18/36 [00:00<00:00, 37.24it/s]
+Epoch 787/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.45it/s]
+Epoch 787/1000:  78%|███████▊  | 28/36 [00:00<00:00, 39.09it/s]
+Epoch 787/1000:  92%|█████████▏| 33/36 [00:01<00:00, 40.39it/s]
+Epoch 787/1000: 100%|██████████| 36/36 [00:01<00:00, 31.34it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 788/1000:   3%|▎         | 1/36 [00:00<00:14,  2.42it/s]
+Epoch 788/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.10it/s]
+Epoch 788/1000:  31%|███       | 11/36 [00:00<00:01, 22.15it/s]
+Epoch 788/1000:  44%|████▍     | 16/36 [00:00<00:00, 28.00it/s]
+Epoch 788/1000:  58%|█████▊    | 21/36 [00:00<00:00, 33.02it/s]
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+
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+Epoch 789/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.68it/s]
+Epoch 789/1000:  31%|███       | 11/36 [00:00<00:01, 24.23it/s]
+Epoch 789/1000:  44%|████▍     | 16/36 [00:00<00:00, 31.39it/s]
+Epoch 789/1000:  64%|██████▍   | 23/36 [00:00<00:00, 40.84it/s]
+Epoch 789/1000:  78%|███████▊  | 28/36 [00:00<00:00, 43.35it/s]
+Epoch 789/1000:  94%|█████████▍| 34/36 [00:01<00:00, 47.27it/s]
+Epoch 789/1000: 100%|██████████| 36/36 [00:01<00:00, 31.95it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 790/1000:   3%|▎         | 1/36 [00:00<00:10,  3.34it/s]
+Epoch 790/1000:  19%|█▉        | 7/36 [00:00<00:01, 21.23it/s]
+Epoch 790/1000:  36%|███▌      | 13/36 [00:00<00:00, 32.11it/s]
+Epoch 790/1000:  53%|█████▎    | 19/36 [00:00<00:00, 39.52it/s]
+Epoch 790/1000:  67%|██████▋   | 24/36 [00:00<00:00, 41.84it/s]
+Epoch 790/1000:  83%|████████▎ | 30/36 [00:00<00:00, 45.15it/s]
+Epoch 790/1000: 100%|██████████| 36/36 [00:00<00:00, 49.11it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 791/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.89it/s]
+Epoch 791/1000:  31%|███       | 11/36 [00:00<00:00, 26.29it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 792/1000:   3%|▎         | 1/36 [00:00<00:11,  2.94it/s]
+Epoch 792/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.92it/s]
+Epoch 792/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.61it/s]
+Epoch 792/1000:  50%|█████     | 18/36 [00:00<00:00, 33.81it/s]
+Epoch 792/1000:  67%|██████▋   | 24/36 [00:00<00:00, 40.70it/s]
+Epoch 792/1000:  83%|████████▎ | 30/36 [00:00<00:00, 45.82it/s]
+Epoch 792/1000: 100%|██████████| 36/36 [00:01<00:00, 34.09it/s]
+epoch: 791, beta = 0.004900, Train MSE: 0.000603, Train CE:0.000050, Train KL:1.048288, Val MSE:0.000611, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 793/1000:   3%|▎         | 1/36 [00:00<00:12,  2.73it/s]
+Epoch 793/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.99it/s]
+Epoch 793/1000:  31%|███       | 11/36 [00:00<00:00, 25.69it/s]
+Epoch 793/1000:  44%|████▍     | 16/36 [00:00<00:00, 31.52it/s]
+Epoch 793/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.92it/s]
+Epoch 793/1000:  75%|███████▌  | 27/36 [00:00<00:00, 40.81it/s]
+Epoch 793/1000:  92%|█████████▏| 33/36 [00:01<00:00, 45.65it/s]
+Epoch 793/1000: 100%|██████████| 36/36 [00:01<00:00, 32.35it/s]
+Learning rate updated: 2.620450591493619e-05
+epoch: 792, beta = 0.004900, Train MSE: 0.000615, Train CE:0.000016, Train KL:1.048578, Val MSE:0.000605, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 794/1000:   3%|▎         | 1/36 [00:00<00:11,  2.97it/s]
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+Epoch 794/1000:  39%|███▉      | 14/36 [00:00<00:00, 33.92it/s]
+Epoch 794/1000:  56%|█████▌    | 20/36 [00:00<00:00, 41.51it/s]
+Epoch 794/1000:  72%|███████▏  | 26/36 [00:00<00:00, 44.55it/s]
+Epoch 794/1000:  89%|████████▉ | 32/36 [00:00<00:00, 47.66it/s]
+Epoch 794/1000: 100%|██████████| 36/36 [00:00<00:00, 36.16it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 795/1000:   3%|▎         | 1/36 [00:00<00:13,  2.62it/s]
+Epoch 795/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.54it/s]
+Epoch 795/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.28it/s]
+Epoch 795/1000:  53%|█████▎    | 19/36 [00:00<00:00, 38.10it/s]
+Epoch 795/1000:  69%|██████▉   | 25/36 [00:00<00:00, 41.13it/s]
+Epoch 795/1000:  86%|████████▌ | 31/36 [00:00<00:00, 45.80it/s]
+Epoch 795/1000: 100%|██████████| 36/36 [00:01<00:00, 33.62it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 796/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.96it/s]
+Epoch 796/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.23it/s]
+Epoch 796/1000:  50%|█████     | 18/36 [00:00<00:00, 34.16it/s]
+Epoch 796/1000:  67%|██████▋   | 24/36 [00:00<00:00, 39.30it/s]
+Epoch 796/1000:  86%|████████▌ | 31/36 [00:00<00:00, 45.48it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 797/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.38it/s]
+Epoch 797/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.68it/s]
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+Epoch 797/1000:  67%|██████▋   | 24/36 [00:00<00:00, 41.47it/s]
+Epoch 797/1000:  86%|████████▌ | 31/36 [00:00<00:00, 47.48it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 798/1000:   3%|▎         | 1/36 [00:00<00:15,  2.28it/s]
+Epoch 798/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.85it/s]
+Epoch 798/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.67it/s]
+Epoch 798/1000:  50%|█████     | 18/36 [00:00<00:00, 33.44it/s]
+Epoch 798/1000:  67%|██████▋   | 24/36 [00:00<00:00, 38.69it/s]
+Epoch 798/1000:  81%|████████  | 29/36 [00:00<00:00, 40.29it/s]
+Epoch 798/1000:  94%|█████████▍| 34/36 [00:01<00:00, 41.07it/s]
+Epoch 798/1000: 100%|██████████| 36/36 [00:01<00:00, 29.36it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 799/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.29it/s]
+Epoch 799/1000:  39%|███▉      | 14/36 [00:00<00:00, 33.17it/s]
+Epoch 799/1000:  58%|█████▊    | 21/36 [00:00<00:00, 42.76it/s]
+Epoch 799/1000:  75%|███████▌  | 27/36 [00:00<00:00, 43.82it/s]
+Epoch 799/1000:  92%|█████████▏| 33/36 [00:00<00:00, 44.39it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 800/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.17it/s]
+Epoch 800/1000:  36%|███▌      | 13/36 [00:00<00:00, 30.45it/s]
+Epoch 800/1000:  53%|█████▎    | 19/36 [00:00<00:00, 38.57it/s]
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+
+Epoch 801/1000:   3%|▎         | 1/36 [00:00<00:11,  2.92it/s]
+Epoch 801/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.92it/s]
+Epoch 801/1000:  39%|███▉      | 14/36 [00:00<00:00, 32.03it/s]
+Epoch 801/1000:  56%|█████▌    | 20/36 [00:00<00:00, 39.46it/s]
+Epoch 801/1000:  69%|██████▉   | 25/36 [00:00<00:00, 41.55it/s]
+Epoch 801/1000:  86%|████████▌ | 31/36 [00:00<00:00, 43.91it/s]
+Epoch 801/1000: 100%|██████████| 36/36 [00:01<00:00, 32.60it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 802/1000:  22%|██▏       | 8/36 [00:00<00:01, 21.77it/s]
+Epoch 802/1000:  39%|███▉      | 14/36 [00:00<00:00, 31.98it/s]
+Epoch 802/1000:  56%|█████▌    | 20/36 [00:00<00:00, 39.65it/s]
+Epoch 802/1000:  72%|███████▏  | 26/36 [00:00<00:00, 43.23it/s]
+Epoch 802/1000:  89%|████████▉ | 32/36 [00:00<00:00, 46.78it/s]
+Epoch 802/1000: 100%|██████████| 36/36 [00:01<00:00, 33.58it/s]
+epoch: 801, beta = 0.004900, Train MSE: 0.000631, Train CE:0.000003, Train KL:1.045318, Val MSE:0.000623, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 803/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 803/1000:   3%|▎         | 1/36 [00:00<00:11,  3.04it/s]
+Epoch 803/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.60it/s]
+Epoch 803/1000:  36%|███▌      | 13/36 [00:00<00:00, 31.50it/s]
+Epoch 803/1000:  50%|█████     | 18/36 [00:00<00:00, 36.60it/s]
+Epoch 803/1000:  67%|██████▋   | 24/36 [00:00<00:00, 42.33it/s]
+Epoch 803/1000:  83%|████████▎ | 30/36 [00:00<00:00, 45.52it/s]
+Epoch 803/1000: 100%|██████████| 36/36 [00:00<00:00, 47.68it/s]
+Epoch 803/1000: 100%|██████████| 36/36 [00:01<00:00, 34.68it/s]
+epoch: 802, beta = 0.004900, Train MSE: 0.000746, Train CE:0.000048, Train KL:1.050741, Val MSE:0.000613, Val CE:0.000005, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 804/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 804/1000:   3%|▎         | 1/36 [00:00<00:08,  3.92it/s]
+Epoch 804/1000:  22%|██▏       | 8/36 [00:00<00:01, 27.02it/s]
+Epoch 804/1000:  44%|████▍     | 16/36 [00:00<00:00, 43.39it/s]
+Epoch 804/1000:  61%|██████    | 22/36 [00:00<00:00, 46.60it/s]
+Epoch 804/1000:  78%|███████▊  | 28/36 [00:00<00:00, 48.09it/s]
+Epoch 804/1000:  94%|█████████▍| 34/36 [00:00<00:00, 48.13it/s]
+Epoch 804/1000: 100%|██████████| 36/36 [00:00<00:00, 38.56it/s]
+Learning rate updated: 2.489428061918938e-05
+epoch: 803, beta = 0.004900, Train MSE: 0.000601, Train CE:0.000002, Train KL:1.054072, Val MSE:0.000619, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 805/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 805/1000:   3%|▎         | 1/36 [00:00<00:15,  2.26it/s]
+Epoch 805/1000:  14%|█▍        | 5/36 [00:00<00:02, 10.76it/s]
+Epoch 805/1000:  25%|██▌       | 9/36 [00:00<00:01, 17.40it/s]
+Epoch 805/1000:  36%|███▌      | 13/36 [00:00<00:01, 22.55it/s]
+Epoch 805/1000:  47%|████▋     | 17/36 [00:00<00:00, 24.10it/s]
+Epoch 805/1000:  58%|█████▊    | 21/36 [00:01<00:00, 26.84it/s]
+Epoch 805/1000:  69%|██████▉   | 25/36 [00:01<00:00, 27.62it/s]
+Epoch 805/1000:  81%|████████  | 29/36 [00:01<00:00, 27.01it/s]
+Epoch 805/1000:  92%|█████████▏| 33/36 [00:01<00:00, 28.07it/s]
+Epoch 805/1000: 100%|██████████| 36/36 [00:01<00:00, 21.47it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 806/1000:   3%|▎         | 1/36 [00:00<00:20,  1.70it/s]
+Epoch 806/1000:  11%|█         | 4/36 [00:00<00:04,  7.18it/s]
+Epoch 806/1000:  25%|██▌       | 9/36 [00:00<00:01, 15.89it/s]
+Epoch 806/1000:  39%|███▉      | 14/36 [00:00<00:00, 22.85it/s]
+Epoch 806/1000:  50%|█████     | 18/36 [00:01<00:00, 25.77it/s]
+Epoch 806/1000:  61%|██████    | 22/36 [00:01<00:00, 27.66it/s]
+Epoch 806/1000:  72%|███████▏  | 26/36 [00:01<00:00, 26.49it/s]
+Epoch 806/1000:  83%|████████▎ | 30/36 [00:01<00:00, 24.92it/s]
+Epoch 806/1000:  92%|█████████▏| 33/36 [00:01<00:00, 24.31it/s]
+Epoch 806/1000: 100%|██████████| 36/36 [00:01<00:00, 19.53it/s]
+epoch: 805, beta = 0.004900, Train MSE: 0.000619, Train CE:0.000005, Train KL:1.051717, Val MSE:0.000588, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 807/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 807/1000:   3%|▎         | 1/36 [00:00<00:20,  1.74it/s]
+Epoch 807/1000:  14%|█▍        | 5/36 [00:00<00:03,  8.86it/s]
+Epoch 807/1000:  28%|██▊       | 10/36 [00:00<00:01, 17.37it/s]
+Epoch 807/1000:  39%|███▉      | 14/36 [00:00<00:01, 21.33it/s]
+Epoch 807/1000:  50%|█████     | 18/36 [00:01<00:00, 24.77it/s]
+Epoch 807/1000:  67%|██████▋   | 24/36 [00:01<00:00, 31.84it/s]
+Epoch 807/1000:  81%|████████  | 29/36 [00:01<00:00, 35.52it/s]
+Epoch 807/1000:  94%|█████████▍| 34/36 [00:01<00:00, 38.36it/s]
+Epoch 807/1000: 100%|██████████| 36/36 [00:01<00:00, 23.92it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 808/1000:   3%|▎         | 1/36 [00:00<00:13,  2.57it/s]
+Epoch 808/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.54it/s]
+Epoch 808/1000:  28%|██▊       | 10/36 [00:00<00:01, 22.65it/s]
+Epoch 808/1000:  42%|████▏     | 15/36 [00:00<00:00, 28.82it/s]
+Epoch 808/1000:  56%|█████▌    | 20/36 [00:00<00:00, 34.26it/s]
+Epoch 808/1000:  69%|██████▉   | 25/36 [00:00<00:00, 37.28it/s]
+Epoch 808/1000:  86%|████████▌ | 31/36 [00:01<00:00, 42.33it/s]
+Epoch 808/1000: 100%|██████████| 36/36 [00:01<00:00, 43.79it/s]
+Epoch 808/1000: 100%|██████████| 36/36 [00:01<00:00, 29.72it/s]
+epoch: 807, beta = 0.004900, Train MSE: 0.000642, Train CE:0.000004, Train KL:1.051233, Val MSE:0.000665, Val CE:0.000007, Train ACC:1.000000, Val ACC:1.000000
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 809/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+
+Epoch 809/1000:   3%|▎         | 1/36 [00:00<00:10,  3.48it/s]
+Epoch 809/1000:  19%|█▉        | 7/36 [00:00<00:01, 21.23it/s]
+Epoch 809/1000:  33%|███▎      | 12/36 [00:00<00:00, 28.42it/s]
+Epoch 809/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.92it/s]
+Epoch 809/1000:  67%|██████▋   | 24/36 [00:00<00:00, 42.69it/s]
+Epoch 809/1000:  89%|████████▉ | 32/36 [00:00<00:00, 52.15it/s]
+Epoch 809/1000: 100%|██████████| 36/36 [00:01<00:00, 33.49it/s]
+epoch: 808, beta = 0.004900, Train MSE: 0.000678, Train CE:0.000001, Train KL:1.049764, Val MSE:0.000638, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 810/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 810/1000:   3%|▎         | 1/36 [00:00<00:13,  2.63it/s]
+Epoch 810/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.41it/s]
+Epoch 810/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.79it/s]
+Epoch 810/1000:  47%|████▋     | 17/36 [00:00<00:00, 30.34it/s]
+Epoch 810/1000:  61%|██████    | 22/36 [00:00<00:00, 34.50it/s]
+Epoch 810/1000:  78%|███████▊  | 28/36 [00:00<00:00, 38.66it/s]
+Epoch 810/1000:  94%|█████████▍| 34/36 [00:01<00:00, 41.63it/s]
+Epoch 810/1000: 100%|██████████| 36/36 [00:01<00:00, 29.61it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 811/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 811/1000:   3%|▎         | 1/36 [00:00<00:14,  2.43it/s]
+Epoch 811/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.52it/s]
+Epoch 811/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.21it/s]
+Epoch 811/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.35it/s]
+Epoch 811/1000:  64%|██████▍   | 23/36 [00:00<00:00, 37.54it/s]
+Epoch 811/1000:  81%|████████  | 29/36 [00:00<00:00, 42.03it/s]
+Epoch 811/1000:  94%|█████████▍| 34/36 [00:01<00:00, 43.26it/s]
+Epoch 811/1000: 100%|██████████| 36/36 [00:01<00:00, 29.65it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 812/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 810, beta = 0.004900, Train MSE: 0.000618, Train CE:0.000002, Train KL:1.041433, Val MSE:0.000672, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 812/1000:   3%|▎         | 1/36 [00:00<00:11,  3.08it/s]
+Epoch 812/1000:  22%|██▏       | 8/36 [00:00<00:01, 22.19it/s]
+Epoch 812/1000:  39%|███▉      | 14/36 [00:00<00:00, 31.50it/s]
+Epoch 812/1000:  56%|█████▌    | 20/36 [00:00<00:00, 37.91it/s]
+Epoch 812/1000:  72%|███████▏  | 26/36 [00:00<00:00, 42.11it/s]
+Epoch 812/1000:  89%|████████▉ | 32/36 [00:00<00:00, 45.73it/s]
+Epoch 812/1000: 100%|██████████| 36/36 [00:01<00:00, 34.01it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 813/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 811, beta = 0.004900, Train MSE: 0.000631, Train CE:0.000009, Train KL:1.039638, Val MSE:0.000675, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 813/1000:   3%|▎         | 1/36 [00:00<00:12,  2.84it/s]
+Epoch 813/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.28it/s]
+Epoch 813/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.89it/s]
+Epoch 813/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.75it/s]
+Epoch 813/1000:  61%|██████    | 22/36 [00:00<00:00, 36.06it/s]
+Epoch 813/1000:  75%|███████▌  | 27/36 [00:00<00:00, 39.14it/s]
+Epoch 813/1000:  92%|█████████▏| 33/36 [00:01<00:00, 43.12it/s]
+Epoch 813/1000: 100%|██████████| 36/36 [00:01<00:00, 31.20it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 814/1000:   3%|▎         | 1/36 [00:00<00:15,  2.19it/s]
+Epoch 814/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.10it/s]
+Epoch 814/1000:  31%|███       | 11/36 [00:00<00:01, 23.06it/s]
+Epoch 814/1000:  47%|████▋     | 17/36 [00:00<00:00, 30.79it/s]
+Epoch 814/1000:  61%|██████    | 22/36 [00:00<00:00, 35.68it/s]
+Epoch 814/1000:  75%|███████▌  | 27/36 [00:00<00:00, 38.73it/s]
+Epoch 814/1000:  92%|█████████▏| 33/36 [00:01<00:00, 43.22it/s]
+Epoch 814/1000: 100%|██████████| 36/36 [00:01<00:00, 28.45it/s]
+epoch: 813, beta = 0.004900, Train MSE: 0.000674, Train CE:0.000002, Train KL:1.040008, Val MSE:0.000629, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 815/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 815/1000:   3%|▎         | 1/36 [00:00<00:14,  2.47it/s]
+Epoch 815/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.69it/s]
+Epoch 815/1000:  36%|███▌      | 13/36 [00:00<00:00, 26.29it/s]
+Epoch 815/1000:  47%|████▋     | 17/36 [00:00<00:00, 29.62it/s]
+Epoch 815/1000:  58%|█████▊    | 21/36 [00:00<00:00, 32.11it/s]
+Epoch 815/1000:  69%|██████▉   | 25/36 [00:00<00:00, 31.77it/s]
+Epoch 815/1000:  81%|████████  | 29/36 [00:01<00:00, 33.52it/s]
+Epoch 815/1000:  97%|█████████▋| 35/36 [00:01<00:00, 39.17it/s]
+Epoch 815/1000: 100%|██████████| 36/36 [00:01<00:00, 27.21it/s]
+Learning rate updated: 2.364956658822991e-05
+epoch: 814, beta = 0.004900, Train MSE: 0.000620, Train CE:0.000001, Train KL:1.046728, Val MSE:0.000585, Val CE:0.000041, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 816/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 816/1000:   3%|▎         | 1/36 [00:00<00:12,  2.89it/s]
+Epoch 816/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.62it/s]
+Epoch 816/1000:  31%|███       | 11/36 [00:00<00:00, 25.83it/s]
+Epoch 816/1000:  47%|████▋     | 17/36 [00:00<00:00, 34.30it/s]
+Epoch 816/1000:  64%|██████▍   | 23/36 [00:00<00:00, 41.58it/s]
+Epoch 816/1000:  83%|████████▎ | 30/36 [00:00<00:00, 48.39it/s]
+Epoch 816/1000: 100%|██████████| 36/36 [00:01<00:00, 34.45it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 817/1000:   3%|▎         | 1/36 [00:00<00:11,  3.16it/s]
+Epoch 817/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.99it/s]
+Epoch 817/1000:  28%|██▊       | 10/36 [00:00<00:01, 23.79it/s]
+Epoch 817/1000:  42%|████▏     | 15/36 [00:00<00:00, 30.78it/s]
+Epoch 817/1000:  56%|█████▌    | 20/36 [00:00<00:00, 35.23it/s]
+Epoch 817/1000:  72%|███████▏  | 26/36 [00:00<00:00, 41.95it/s]
+Epoch 817/1000:  89%|████████▉ | 32/36 [00:00<00:00, 46.52it/s]
+Epoch 817/1000: 100%|██████████| 36/36 [00:01<00:00, 31.27it/s]
+epoch: 816, beta = 0.004900, Train MSE: 0.000702, Train CE:0.000098, Train KL:1.058477, Val MSE:0.000598, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 818/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 818/1000:   3%|▎         | 1/36 [00:00<00:14,  2.50it/s]
+Epoch 818/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.88it/s]
+Epoch 818/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.39it/s]
+Epoch 818/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.05it/s]
+Epoch 818/1000:  64%|██████▍   | 23/36 [00:00<00:00, 37.21it/s]
+Epoch 818/1000:  83%|████████▎ | 30/36 [00:00<00:00, 44.69it/s]
+Epoch 818/1000: 100%|██████████| 36/36 [00:01<00:00, 48.79it/s]
+Epoch 818/1000: 100%|██████████| 36/36 [00:01<00:00, 31.44it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 819/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 819/1000:   3%|▎         | 1/36 [00:00<00:19,  1.80it/s]
+Epoch 819/1000:  14%|█▍        | 5/36 [00:00<00:03,  9.45it/s]
+Epoch 819/1000:  28%|██▊       | 10/36 [00:00<00:01, 17.69it/s]
+Epoch 819/1000:  44%|████▍     | 16/36 [00:00<00:00, 26.02it/s]
+Epoch 819/1000:  56%|█████▌    | 20/36 [00:01<00:00, 29.19it/s]
+Epoch 819/1000:  69%|██████▉   | 25/36 [00:01<00:00, 33.78it/s]
+Epoch 819/1000:  83%|████████▎ | 30/36 [00:01<00:00, 36.71it/s]
+Epoch 819/1000: 100%|██████████| 36/36 [00:01<00:00, 41.02it/s]
+Epoch 819/1000: 100%|██████████| 36/36 [00:01<00:00, 24.89it/s]
+epoch: 818, beta = 0.004900, Train MSE: 0.000585, Train CE:0.000002, Train KL:1.058673, Val MSE:0.000592, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 820/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+
+Epoch 820/1000:   3%|▎         | 1/36 [00:00<00:12,  2.80it/s]
+Epoch 820/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.79it/s]
+Epoch 820/1000:  36%|███▌      | 13/36 [00:00<00:00, 30.27it/s]
+Epoch 820/1000:  58%|█████▊    | 21/36 [00:00<00:00, 42.84it/s]
+Epoch 820/1000:  75%|███████▌  | 27/36 [00:00<00:00, 46.49it/s]
+Epoch 820/1000:  94%|█████████▍| 34/36 [00:00<00:00, 52.06it/s]
+Epoch 820/1000: 100%|██████████| 36/36 [00:01<00:00, 34.56it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 821/1000:   3%|▎         | 1/36 [00:00<00:13,  2.68it/s]
+Epoch 821/1000:  22%|██▏       | 8/36 [00:00<00:01, 20.89it/s]
+Epoch 821/1000:  44%|████▍     | 16/36 [00:00<00:00, 35.81it/s]
+Epoch 821/1000:  61%|██████    | 22/36 [00:00<00:00, 39.08it/s]
+Epoch 821/1000:  78%|███████▊  | 28/36 [00:00<00:00, 41.96it/s]
+Epoch 821/1000:  94%|█████████▍| 34/36 [00:00<00:00, 44.57it/s]
+Epoch 821/1000: 100%|██████████| 36/36 [00:01<00:00, 33.46it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 822/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 820, beta = 0.004900, Train MSE: 0.000582, Train CE:0.000001, Train KL:1.056940, Val MSE:0.000585, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 822/1000:   3%|▎         | 1/36 [00:00<00:12,  2.82it/s]
+Epoch 822/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.76it/s]
+Epoch 822/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.93it/s]
+Epoch 822/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.94it/s]
+Epoch 822/1000:  64%|██████▍   | 23/36 [00:00<00:00, 40.18it/s]
+Epoch 822/1000:  78%|███████▊  | 28/36 [00:00<00:00, 41.74it/s]
+Epoch 822/1000:  92%|█████████▏| 33/36 [00:01<00:00, 42.43it/s]
+Epoch 822/1000: 100%|██████████| 36/36 [00:01<00:00, 31.38it/s]
+epoch: 821, beta = 0.004900, Train MSE: 0.000593, Train CE:0.000001, Train KL:1.054731, Val MSE:0.000598, Val CE:0.000007, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 823/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 823/1000:   3%|▎         | 1/36 [00:00<00:13,  2.59it/s]
+Epoch 823/1000:  22%|██▏       | 8/36 [00:00<00:01, 20.18it/s]
+Epoch 823/1000:  44%|████▍     | 16/36 [00:00<00:00, 35.27it/s]
+Epoch 823/1000:  61%|██████    | 22/36 [00:00<00:00, 39.08it/s]
+Epoch 823/1000:  78%|███████▊  | 28/36 [00:00<00:00, 42.46it/s]
+Epoch 823/1000:  94%|█████████▍| 34/36 [00:00<00:00, 45.85it/s]
+Epoch 823/1000: 100%|██████████| 36/36 [00:01<00:00, 33.80it/s]
+epoch: 822, beta = 0.004900, Train MSE: 0.000589, Train CE:0.000034, Train KL:1.053503, Val MSE:0.000603, Val CE:0.000120, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 824/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 824/1000:   3%|▎         | 1/36 [00:00<00:11,  2.98it/s]
+Epoch 824/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.93it/s]
+Epoch 824/1000:  33%|███▎      | 12/36 [00:00<00:00, 29.46it/s]
+Epoch 824/1000:  53%|█████▎    | 19/36 [00:00<00:00, 39.37it/s]
+Epoch 824/1000:  69%|██████▉   | 25/36 [00:00<00:00, 44.18it/s]
+Epoch 824/1000:  86%|████████▌ | 31/36 [00:00<00:00, 47.65it/s]
+Epoch 824/1000: 100%|██████████| 36/36 [00:01<00:00, 34.37it/s]
+epoch: 823, beta = 0.004900, Train MSE: 0.000632, Train CE:0.000035, Train KL:1.052500, Val MSE:0.000629, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 825/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 825/1000:   3%|▎         | 1/36 [00:00<00:13,  2.68it/s]
+Epoch 825/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.69it/s]
+Epoch 825/1000:  36%|███▌      | 13/36 [00:00<00:00, 30.24it/s]
+Epoch 825/1000:  56%|█████▌    | 20/36 [00:00<00:00, 41.03it/s]
+Epoch 825/1000:  75%|███████▌  | 27/36 [00:00<00:00, 47.42it/s]
+Epoch 825/1000:  92%|█████████▏| 33/36 [00:00<00:00, 48.00it/s]
+Epoch 825/1000: 100%|██████████| 36/36 [00:01<00:00, 33.70it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 826/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 824, beta = 0.004900, Train MSE: 0.000584, Train CE:0.000014, Train KL:1.053824, Val MSE:0.000582, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 826/1000:   3%|▎         | 1/36 [00:00<00:12,  2.92it/s]
+Epoch 826/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.59it/s]
+Epoch 826/1000:  36%|███▌      | 13/36 [00:00<00:00, 29.65it/s]
+Epoch 826/1000:  56%|█████▌    | 20/36 [00:00<00:00, 39.51it/s]
+Epoch 826/1000:  75%|███████▌  | 27/36 [00:00<00:00, 46.12it/s]
+Epoch 826/1000:  92%|█████████▏| 33/36 [00:00<00:00, 47.19it/s]
+Epoch 826/1000: 100%|██████████| 36/36 [00:01<00:00, 32.90it/s]
+Learning rate updated: 2.2467088258818413e-05
+epoch: 825, beta = 0.004900, Train MSE: 0.000605, Train CE:0.000002, Train KL:1.052060, Val MSE:0.000599, Val CE:0.000015, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 827/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 827/1000:   3%|▎         | 1/36 [00:00<00:12,  2.74it/s]
+Epoch 827/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.39it/s]
+Epoch 827/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.53it/s]
+Epoch 827/1000:  50%|█████     | 18/36 [00:00<00:00, 34.68it/s]
+Epoch 827/1000:  69%|██████▉   | 25/36 [00:00<00:00, 42.09it/s]
+Epoch 827/1000:  83%|████████▎ | 30/36 [00:00<00:00, 43.69it/s]
+Epoch 827/1000:  97%|█████████▋| 35/36 [00:01<00:00, 44.51it/s]
+Epoch 827/1000: 100%|██████████| 36/36 [00:01<00:00, 31.88it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 828/1000:   3%|▎         | 1/36 [00:00<00:13,  2.62it/s]
+Epoch 828/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.06it/s]
+Epoch 828/1000:  31%|███       | 11/36 [00:00<00:01, 22.45it/s]
+Epoch 828/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.17it/s]
+Epoch 828/1000:  61%|██████    | 22/36 [00:00<00:00, 36.51it/s]
+Epoch 828/1000:  78%|███████▊  | 28/36 [00:00<00:00, 40.02it/s]
+Epoch 828/1000:  92%|█████████▏| 33/36 [00:01<00:00, 40.94it/s]
+Epoch 828/1000: 100%|██████████| 36/36 [00:01<00:00, 29.35it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 829/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 829/1000:   3%|▎         | 1/36 [00:00<00:14,  2.42it/s]
+Epoch 829/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.90it/s]
+Epoch 829/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.05it/s]
+Epoch 829/1000:  50%|█████     | 18/36 [00:00<00:00, 33.98it/s]
+Epoch 829/1000:  69%|██████▉   | 25/36 [00:00<00:00, 42.36it/s]
+Epoch 829/1000:  86%|████████▌ | 31/36 [00:00<00:00, 44.08it/s]
+Epoch 829/1000: 100%|██████████| 36/36 [00:01<00:00, 30.52it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 830/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 830/1000:   3%|▎         | 1/36 [00:00<00:16,  2.17it/s]
+Epoch 830/1000:  11%|█         | 4/36 [00:00<00:03,  8.66it/s]
+Epoch 830/1000:  25%|██▌       | 9/36 [00:00<00:01, 18.50it/s]
+Epoch 830/1000:  42%|████▏     | 15/36 [00:00<00:00, 27.79it/s]
+Epoch 830/1000:  56%|█████▌    | 20/36 [00:00<00:00, 32.16it/s]
+Epoch 830/1000:  69%|██████▉   | 25/36 [00:01<00:00, 36.45it/s]
+Epoch 830/1000:  86%|████████▌ | 31/36 [00:01<00:00, 41.73it/s]
+Epoch 830/1000: 100%|██████████| 36/36 [00:01<00:00, 41.94it/s]
+Epoch 830/1000: 100%|██████████| 36/36 [00:01<00:00, 27.20it/s]
+epoch: 829, beta = 0.004900, Train MSE: 0.000624, Train CE:0.000001, Train KL:1.051949, Val MSE:0.000602, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 831/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 831/1000:   3%|▎         | 1/36 [00:00<00:14,  2.40it/s]
+Epoch 831/1000:  11%|█         | 4/36 [00:00<00:03,  8.91it/s]
+Epoch 831/1000:  25%|██▌       | 9/36 [00:00<00:01, 19.11it/s]
+Epoch 831/1000:  39%|███▉      | 14/36 [00:00<00:00, 26.62it/s]
+Epoch 831/1000:  53%|█████▎    | 19/36 [00:00<00:00, 31.63it/s]
+Epoch 831/1000:  67%|██████▋   | 24/36 [00:00<00:00, 35.34it/s]
+Epoch 831/1000:  81%|████████  | 29/36 [00:01<00:00, 36.82it/s]
+Epoch 831/1000:  94%|█████████▍| 34/36 [00:01<00:00, 38.63it/s]
+Epoch 831/1000: 100%|██████████| 36/36 [00:01<00:00, 26.55it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 832/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 832/1000:   3%|▎         | 1/36 [00:00<00:14,  2.34it/s]
+Epoch 832/1000:  11%|█         | 4/36 [00:00<00:03,  8.53it/s]
+Epoch 832/1000:  22%|██▏       | 8/36 [00:00<00:01, 15.46it/s]
+Epoch 832/1000:  31%|███       | 11/36 [00:00<00:01, 18.36it/s]
+Epoch 832/1000:  39%|███▉      | 14/36 [00:00<00:01, 20.55it/s]
+Epoch 832/1000:  53%|█████▎    | 19/36 [00:01<00:00, 27.48it/s]
+Epoch 832/1000:  69%|██████▉   | 25/36 [00:01<00:00, 33.92it/s]
+Epoch 832/1000:  86%|████████▌ | 31/36 [00:01<00:00, 40.52it/s]
+Epoch 832/1000: 100%|██████████| 36/36 [00:01<00:00, 24.61it/s]
+epoch: 831, beta = 0.004900, Train MSE: 0.000597, Train CE:0.000002, Train KL:1.052956, Val MSE:0.000597, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+  0%|          | 0/36 [00:00<?, ?it/s]
+
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+Epoch 833/1000:   3%|▎         | 1/36 [00:00<00:13,  2.63it/s]
+Epoch 833/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.89it/s]
+Epoch 833/1000:  31%|███       | 11/36 [00:00<00:01, 24.40it/s]
+Epoch 833/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.96it/s]
+Epoch 833/1000:  61%|██████    | 22/36 [00:00<00:00, 36.26it/s]
+Epoch 833/1000:  75%|███████▌  | 27/36 [00:00<00:00, 37.41it/s]
+Epoch 833/1000:  92%|█████████▏| 33/36 [00:01<00:00, 41.87it/s]
+Epoch 833/1000: 100%|██████████| 36/36 [00:01<00:00, 30.28it/s]
+epoch: 832, beta = 0.004900, Train MSE: 0.000619, Train CE:0.000001, Train KL:1.051888, Val MSE:0.000613, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 834/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 834/1000:   3%|▎         | 1/36 [00:00<00:15,  2.27it/s]
+Epoch 834/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.71it/s]
+Epoch 834/1000:  28%|██▊       | 10/36 [00:00<00:01, 19.98it/s]
+Epoch 834/1000:  42%|████▏     | 15/36 [00:00<00:00, 26.07it/s]
+Epoch 834/1000:  56%|█████▌    | 20/36 [00:00<00:00, 31.78it/s]
+Epoch 834/1000:  72%|███████▏  | 26/36 [00:01<00:00, 37.42it/s]
+Epoch 834/1000:  86%|████████▌ | 31/36 [00:01<00:00, 40.49it/s]
+Epoch 834/1000: 100%|██████████| 36/36 [00:01<00:00, 28.64it/s]
+epoch: 833, beta = 0.004900, Train MSE: 0.000594, Train CE:0.000016, Train KL:1.052621, Val MSE:0.000587, Val CE:0.000010, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 835/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 835/1000:   3%|▎         | 1/36 [00:00<00:13,  2.52it/s]
+Epoch 835/1000:  22%|██▏       | 8/36 [00:00<00:01, 19.69it/s]
+Epoch 835/1000:  36%|███▌      | 13/36 [00:00<00:00, 26.59it/s]
+Epoch 835/1000:  53%|█████▎    | 19/36 [00:00<00:00, 33.95it/s]
+Epoch 835/1000:  69%|██████▉   | 25/36 [00:00<00:00, 39.30it/s]
+Epoch 835/1000:  86%|████████▌ | 31/36 [00:00<00:00, 42.99it/s]
+Epoch 835/1000: 100%|██████████| 36/36 [00:01<00:00, 31.06it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 836/1000:   3%|▎         | 1/36 [00:00<00:16,  2.13it/s]
+Epoch 836/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.17it/s]
+Epoch 836/1000:  28%|██▊       | 10/36 [00:00<00:01, 19.73it/s]
+Epoch 836/1000:  42%|████▏     | 15/36 [00:00<00:00, 25.92it/s]
+Epoch 836/1000:  58%|█████▊    | 21/36 [00:00<00:00, 33.25it/s]
+Epoch 836/1000:  72%|███████▏  | 26/36 [00:01<00:00, 36.12it/s]
+Epoch 836/1000:  86%|████████▌ | 31/36 [00:01<00:00, 35.46it/s]
+Epoch 836/1000: 100%|██████████| 36/36 [00:01<00:00, 38.68it/s]
+Epoch 836/1000: 100%|██████████| 36/36 [00:01<00:00, 26.43it/s]
+epoch: 835, beta = 0.004900, Train MSE: 0.000586, Train CE:0.000001, Train KL:1.053864, Val MSE:0.000606, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 837/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 837/1000:   3%|▎         | 1/36 [00:00<00:14,  2.41it/s]
+Epoch 837/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.24it/s]
+Epoch 837/1000:  25%|██▌       | 9/36 [00:00<00:01, 17.89it/s]
+Epoch 837/1000:  39%|███▉      | 14/36 [00:00<00:00, 25.78it/s]
+Epoch 837/1000:  56%|█████▌    | 20/36 [00:00<00:00, 33.34it/s]
+Epoch 837/1000:  69%|██████▉   | 25/36 [00:00<00:00, 36.35it/s]
+Epoch 837/1000:  86%|████████▌ | 31/36 [00:01<00:00, 41.17it/s]
+Epoch 837/1000: 100%|██████████| 36/36 [00:01<00:00, 39.94it/s]
+Epoch 837/1000: 100%|██████████| 36/36 [00:01<00:00, 27.07it/s]
+Learning rate updated: 2.134373384587749e-05
+epoch: 836, beta = 0.004900, Train MSE: 0.000619, Train CE:0.000001, Train KL:1.053086, Val MSE:0.000626, Val CE:0.000006, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 838/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 838/1000:   3%|▎         | 1/36 [00:00<00:13,  2.54it/s]
+Epoch 838/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.39it/s]
+Epoch 838/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.80it/s]
+Epoch 838/1000:  53%|█████▎    | 19/36 [00:00<00:00, 35.72it/s]
+Epoch 838/1000:  67%|██████▋   | 24/36 [00:00<00:00, 39.63it/s]
+Epoch 838/1000:  81%|████████  | 29/36 [00:00<00:00, 42.05it/s]
+Epoch 838/1000:  97%|█████████▋| 35/36 [00:01<00:00, 44.19it/s]
+Epoch 838/1000: 100%|██████████| 36/36 [00:01<00:00, 31.54it/s]
+epoch: 837, beta = 0.004900, Train MSE: 0.000634, Train CE:0.000001, Train KL:1.052182, Val MSE:0.000586, Val CE:0.000240, Train ACC:1.000000, Val ACC:0.999972
+
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+Epoch 839/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.25it/s]
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+Epoch 840/1000:  72%|███████▏  | 26/36 [00:00<00:00, 43.55it/s]
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+Epoch 841/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.82it/s]
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+Epoch 842/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.89it/s]
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+Learning rate updated: 2.0276547153583614e-05
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 857/1000:  89%|████████▉ | 32/36 [00:00<00:00, 46.03it/s]
+Epoch 857/1000: 100%|██████████| 36/36 [00:01<00:00, 35.25it/s]
+epoch: 856, beta = 0.004900, Train MSE: 0.000657, Train CE:0.000014, Train KL:1.047931, Val MSE:0.000629, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
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+Epoch 858/1000:   3%|▎         | 1/36 [00:00<00:12,  2.80it/s]
+Epoch 858/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.82it/s]
+Epoch 858/1000:  31%|███       | 11/36 [00:00<00:01, 24.32it/s]
+Epoch 858/1000:  44%|████▍     | 16/36 [00:00<00:00, 31.15it/s]
+Epoch 858/1000:  61%|██████    | 22/36 [00:00<00:00, 38.04it/s]
+Epoch 858/1000:  75%|███████▌  | 27/36 [00:00<00:00, 37.70it/s]
+Epoch 858/1000:  92%|█████████▏| 33/36 [00:01<00:00, 42.44it/s]
+Epoch 858/1000: 100%|██████████| 36/36 [00:01<00:00, 30.01it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 859/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 859/1000:   3%|▎         | 1/36 [00:00<00:14,  2.35it/s]
+Epoch 859/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.52it/s]
+Epoch 859/1000:  31%|███       | 11/36 [00:00<00:01, 21.56it/s]
+Epoch 859/1000:  44%|████▍     | 16/36 [00:00<00:00, 28.77it/s]
+Epoch 859/1000:  58%|█████▊    | 21/36 [00:00<00:00, 31.47it/s]
+Epoch 859/1000:  69%|██████▉   | 25/36 [00:01<00:00, 30.26it/s]
+Epoch 859/1000:  81%|████████  | 29/36 [00:01<00:00, 32.04it/s]
+Epoch 859/1000:  92%|█████████▏| 33/36 [00:01<00:00, 32.31it/s]
+Epoch 859/1000: 100%|██████████| 36/36 [00:01<00:00, 25.19it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 860/1000:   0%|          | 0/36 [00:00<?, ?it/s]Learning rate updated: 1.9262719795904432e-05
+epoch: 858, beta = 0.004900, Train MSE: 0.000620, Train CE:0.000001, Train KL:1.046774, Val MSE:0.000615, Val CE:0.000005, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 860/1000:   3%|▎         | 1/36 [00:00<00:16,  2.09it/s]
+Epoch 860/1000:  14%|█▍        | 5/36 [00:00<00:02, 10.67it/s]
+Epoch 860/1000:  28%|██▊       | 10/36 [00:00<00:01, 19.95it/s]
+Epoch 860/1000:  44%|████▍     | 16/36 [00:00<00:00, 28.96it/s]
+Epoch 860/1000:  58%|█████▊    | 21/36 [00:00<00:00, 33.47it/s]
+Epoch 860/1000:  72%|███████▏  | 26/36 [00:01<00:00, 29.62it/s]
+Epoch 860/1000:  89%|████████▉ | 32/36 [00:01<00:00, 35.52it/s]
+Epoch 860/1000: 100%|██████████| 36/36 [00:01<00:00, 25.98it/s]
+epoch: 859, beta = 0.004900, Train MSE: 0.000709, Train CE:0.000001, Train KL:1.050640, Val MSE:0.000683, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
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+Epoch 861/1000:   3%|▎         | 1/36 [00:00<00:15,  2.23it/s]
+Epoch 861/1000:  14%|█▍        | 5/36 [00:00<00:02, 10.46it/s]
+Epoch 861/1000:  28%|██▊       | 10/36 [00:00<00:01, 19.08it/s]
+Epoch 861/1000:  42%|████▏     | 15/36 [00:00<00:00, 26.42it/s]
+Epoch 861/1000:  56%|█████▌    | 20/36 [00:00<00:00, 31.78it/s]
+Epoch 861/1000:  69%|██████▉   | 25/36 [00:01<00:00, 35.88it/s]
+Epoch 861/1000:  83%|████████▎ | 30/36 [00:01<00:00, 39.53it/s]
+Epoch 861/1000: 100%|██████████| 36/36 [00:01<00:00, 43.28it/s]
+Epoch 861/1000: 100%|██████████| 36/36 [00:01<00:00, 26.79it/s]
+epoch: 860, beta = 0.004900, Train MSE: 0.000582, Train CE:0.000020, Train KL:1.053727, Val MSE:0.000606, Val CE:0.000005, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 862/1000:   3%|▎         | 1/36 [00:00<00:18,  1.92it/s]
+Epoch 862/1000:  14%|█▍        | 5/36 [00:00<00:03,  9.45it/s]
+Epoch 862/1000:  25%|██▌       | 9/36 [00:00<00:01, 16.16it/s]
+Epoch 862/1000:  36%|███▌      | 13/36 [00:00<00:01, 20.61it/s]
+Epoch 862/1000:  50%|█████     | 18/36 [00:00<00:00, 26.82it/s]
+Epoch 862/1000:  64%|██████▍   | 23/36 [00:01<00:00, 31.66it/s]
+Epoch 862/1000:  75%|███████▌  | 27/36 [00:01<00:00, 32.70it/s]
+Epoch 862/1000:  86%|████████▌ | 31/36 [00:01<00:00, 30.15it/s]
+Epoch 862/1000:  97%|█████████▋| 35/36 [00:01<00:00, 30.41it/s]
+Epoch 862/1000: 100%|██████████| 36/36 [00:01<00:00, 21.94it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
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+Epoch 863/1000:  22%|██▏       | 8/36 [00:00<00:01, 20.53it/s]
+Epoch 863/1000:  42%|████▏     | 15/36 [00:00<00:00, 33.10it/s]
+Epoch 863/1000:  56%|█████▌    | 20/36 [00:00<00:00, 36.91it/s]
+Epoch 863/1000:  69%|██████▉   | 25/36 [00:00<00:00, 39.63it/s]
+Epoch 863/1000:  83%|████████▎ | 30/36 [00:00<00:00, 42.14it/s]
+Epoch 863/1000: 100%|██████████| 36/36 [00:01<00:00, 46.94it/s]
+Epoch 863/1000: 100%|██████████| 36/36 [00:01<00:00, 32.79it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 864/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 862, beta = 0.004900, Train MSE: 0.000589, Train CE:0.000001, Train KL:1.051282, Val MSE:0.000587, Val CE:0.000007, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 864/1000:   3%|▎         | 1/36 [00:00<00:12,  2.70it/s]
+Epoch 864/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.98it/s]
+Epoch 864/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.16it/s]
+Epoch 864/1000:  50%|█████     | 18/36 [00:00<00:00, 34.21it/s]
+Epoch 864/1000:  67%|██████▋   | 24/36 [00:00<00:00, 39.85it/s]
+Epoch 864/1000:  83%|████████▎ | 30/36 [00:00<00:00, 43.57it/s]
+Epoch 864/1000: 100%|██████████| 36/36 [00:01<00:00, 46.81it/s]
+Epoch 864/1000: 100%|██████████| 36/36 [00:01<00:00, 32.13it/s]
+epoch: 863, beta = 0.004900, Train MSE: 0.000639, Train CE:0.000001, Train KL:1.050062, Val MSE:0.000598, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 865/1000:   3%|▎         | 1/36 [00:00<00:11,  2.95it/s]
+Epoch 865/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.95it/s]
+Epoch 865/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.89it/s]
+Epoch 865/1000:  50%|█████     | 18/36 [00:00<00:00, 34.33it/s]
+Epoch 865/1000:  64%|██████▍   | 23/36 [00:00<00:00, 37.77it/s]
+Epoch 865/1000:  81%|████████  | 29/36 [00:00<00:00, 43.13it/s]
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+Epoch 865/1000: 100%|██████████| 36/36 [00:01<00:00, 32.00it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 866/1000:   3%|▎         | 1/36 [00:00<00:11,  3.15it/s]
+Epoch 866/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.56it/s]
+Epoch 866/1000:  31%|███       | 11/36 [00:00<00:00, 26.55it/s]
+Epoch 866/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.98it/s]
+Epoch 866/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.57it/s]
+Epoch 866/1000:  78%|███████▊  | 28/36 [00:00<00:00, 42.24it/s]
+Epoch 866/1000:  94%|█████████▍| 34/36 [00:00<00:00, 45.56it/s]
+Epoch 866/1000: 100%|██████████| 36/36 [00:01<00:00, 33.34it/s]
+epoch: 865, beta = 0.004900, Train MSE: 0.000597, Train CE:0.000103, Train KL:1.048965, Val MSE:0.000617, Val CE:0.000035, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 867/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 867/1000:   3%|▎         | 1/36 [00:00<00:10,  3.32it/s]
+Epoch 867/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.61it/s]
+Epoch 867/1000:  31%|███       | 11/36 [00:00<00:00, 26.83it/s]
+Epoch 867/1000:  47%|████▋     | 17/36 [00:00<00:00, 36.54it/s]
+Epoch 867/1000:  67%|██████▋   | 24/36 [00:00<00:00, 46.02it/s]
+Epoch 867/1000:  86%|████████▌ | 31/36 [00:00<00:00, 51.45it/s]
+Epoch 867/1000: 100%|██████████| 36/36 [00:00<00:00, 36.12it/s]
+epoch: 866, beta = 0.004900, Train MSE: 0.000589, Train CE:0.000001, Train KL:1.050906, Val MSE:0.000617, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 868/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 868/1000:   3%|▎         | 1/36 [00:00<00:18,  1.92it/s]
+Epoch 868/1000:  19%|█▉        | 7/36 [00:00<00:02, 13.89it/s]
+Epoch 868/1000:  36%|███▌      | 13/36 [00:00<00:00, 24.10it/s]
+Epoch 868/1000:  50%|█████     | 18/36 [00:00<00:00, 28.46it/s]
+Epoch 868/1000:  64%|██████▍   | 23/36 [00:00<00:00, 31.90it/s]
+Epoch 868/1000:  81%|████████  | 29/36 [00:01<00:00, 38.80it/s]
+Epoch 868/1000: 100%|██████████| 36/36 [00:01<00:00, 27.85it/s]
+epoch: 867, beta = 0.004900, Train MSE: 0.000638, Train CE:0.000016, Train KL:1.051671, Val MSE:0.000597, Val CE:0.000047, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 869/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 869/1000:   3%|▎         | 1/36 [00:00<00:14,  2.49it/s]
+Epoch 869/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.69it/s]
+Epoch 869/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.31it/s]
+Epoch 869/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.73it/s]
+Epoch 869/1000:  61%|██████    | 22/36 [00:00<00:00, 36.93it/s]
+Epoch 869/1000:  75%|███████▌  | 27/36 [00:00<00:00, 39.83it/s]
+Epoch 869/1000:  89%|████████▉ | 32/36 [00:01<00:00, 40.36it/s]
+Epoch 869/1000: 100%|██████████| 36/36 [00:01<00:00, 29.00it/s]
+epoch: 868, beta = 0.004900, Train MSE: 0.000598, Train CE:0.000002, Train KL:1.055107, Val MSE:0.000595, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 870/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 870/1000:   3%|▎         | 1/36 [00:00<00:12,  2.91it/s]
+Epoch 870/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.66it/s]
+Epoch 870/1000:  39%|███▉      | 14/36 [00:00<00:00, 33.30it/s]
+Epoch 870/1000:  61%|██████    | 22/36 [00:00<00:00, 45.60it/s]
+Epoch 870/1000:  81%|████████  | 29/36 [00:00<00:00, 51.30it/s]
+Epoch 870/1000: 100%|██████████| 36/36 [00:00<00:00, 51.43it/s]
+Epoch 870/1000: 100%|██████████| 36/36 [00:00<00:00, 36.88it/s]
+Learning rate updated: 1.829958380610921e-05
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 871/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 869, beta = 0.004900, Train MSE: 0.000595, Train CE:0.000001, Train KL:1.054941, Val MSE:0.000572, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 871/1000:   3%|▎         | 1/36 [00:00<00:11,  3.03it/s]
+Epoch 871/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.85it/s]
+Epoch 871/1000:  39%|███▉      | 14/36 [00:00<00:00, 34.57it/s]
+Epoch 871/1000:  61%|██████    | 22/36 [00:00<00:00, 46.70it/s]
+Epoch 871/1000:  78%|███████▊  | 28/36 [00:00<00:00, 49.40it/s]
+Epoch 871/1000:  97%|█████████▋| 35/36 [00:00<00:00, 52.05it/s]
+Epoch 871/1000: 100%|██████████| 36/36 [00:00<00:00, 36.81it/s]
+epoch: 870, beta = 0.004900, Train MSE: 0.000594, Train CE:0.000001, Train KL:1.053364, Val MSE:0.000587, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 872/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 872/1000:   3%|▎         | 1/36 [00:00<00:12,  2.84it/s]
+Epoch 872/1000:  22%|██▏       | 8/36 [00:00<00:01, 21.60it/s]
+Epoch 872/1000:  39%|███▉      | 14/36 [00:00<00:00, 32.21it/s]
+Epoch 872/1000:  56%|█████▌    | 20/36 [00:00<00:00, 39.78it/s]
+Epoch 872/1000:  75%|███████▌  | 27/36 [00:00<00:00, 46.51it/s]
+Epoch 872/1000:  94%|█████████▍| 34/36 [00:00<00:00, 52.34it/s]
+Epoch 872/1000: 100%|██████████| 36/36 [00:01<00:00, 35.87it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 873/1000:   3%|▎         | 1/36 [00:00<00:10,  3.33it/s]
+Epoch 873/1000:  11%|█         | 4/36 [00:00<00:02, 11.63it/s]
+Epoch 873/1000:  28%|██▊       | 10/36 [00:00<00:01, 25.44it/s]
+Epoch 873/1000:  44%|████▍     | 16/36 [00:00<00:00, 33.75it/s]
+Epoch 873/1000:  61%|██████    | 22/36 [00:00<00:00, 40.82it/s]
+Epoch 873/1000:  81%|████████  | 29/36 [00:00<00:00, 48.13it/s]
+Epoch 873/1000: 100%|██████████| 36/36 [00:00<00:00, 52.79it/s]
+Epoch 873/1000: 100%|██████████| 36/36 [00:01<00:00, 34.67it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 874/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.34it/s]
+Epoch 874/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.93it/s]
+Epoch 874/1000:  50%|█████     | 18/36 [00:00<00:00, 34.90it/s]
+Epoch 874/1000:  69%|██████▉   | 25/36 [00:00<00:00, 42.89it/s]
+Epoch 874/1000:  89%|████████▉ | 32/36 [00:00<00:00, 49.86it/s]
+Epoch 874/1000: 100%|██████████| 36/36 [00:01<00:00, 34.67it/s]
+epoch: 873, beta = 0.004900, Train MSE: 0.000581, Train CE:0.000001, Train KL:1.057061, Val MSE:0.000575, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 875/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 875/1000:   3%|▎         | 1/36 [00:00<00:11,  3.12it/s]
+Epoch 875/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.43it/s]
+Epoch 875/1000:  36%|███▌      | 13/36 [00:00<00:00, 29.71it/s]
+Epoch 875/1000:  53%|█████▎    | 19/36 [00:00<00:00, 36.90it/s]
+Epoch 875/1000:  72%|███████▏  | 26/36 [00:00<00:00, 44.90it/s]
+Epoch 875/1000:  92%|█████████▏| 33/36 [00:00<00:00, 51.14it/s]
+Epoch 875/1000: 100%|██████████| 36/36 [00:00<00:00, 36.20it/s]
+epoch: 874, beta = 0.004900, Train MSE: 0.000571, Train CE:0.000001, Train KL:1.055568, Val MSE:0.000582, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 876/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+
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+Epoch 876/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.29it/s]
+Epoch 876/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.31it/s]
+Epoch 876/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.78it/s]
+Epoch 876/1000:  67%|██████▋   | 24/36 [00:00<00:00, 43.05it/s]
+Epoch 876/1000:  86%|████████▌ | 31/36 [00:00<00:00, 50.23it/s]
+Epoch 876/1000: 100%|██████████| 36/36 [00:01<00:00, 32.75it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 877/1000:   3%|▎         | 1/36 [00:00<00:12,  2.90it/s]
+Epoch 877/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.77it/s]
+Epoch 877/1000:  28%|██▊       | 10/36 [00:00<00:01, 23.77it/s]
+Epoch 877/1000:  44%|████▍     | 16/36 [00:00<00:00, 32.14it/s]
+Epoch 877/1000:  56%|█████▌    | 20/36 [00:00<00:00, 32.44it/s]
+Epoch 877/1000:  67%|██████▋   | 24/36 [00:00<00:00, 33.94it/s]
+Epoch 877/1000:  83%|████████▎ | 30/36 [00:01<00:00, 39.67it/s]
+Epoch 877/1000:  97%|█████████▋| 35/36 [00:01<00:00, 41.61it/s]
+Epoch 877/1000: 100%|██████████| 36/36 [00:01<00:00, 29.44it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 878/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 878/1000:   3%|▎         | 1/36 [00:00<00:14,  2.45it/s]
+Epoch 878/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.54it/s]
+Epoch 878/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.20it/s]
+Epoch 878/1000:  42%|████▏     | 15/36 [00:00<00:00, 29.11it/s]
+Epoch 878/1000:  56%|█████▌    | 20/36 [00:00<00:00, 33.16it/s]
+Epoch 878/1000:  69%|██████▉   | 25/36 [00:00<00:00, 37.25it/s]
+Epoch 878/1000:  86%|████████▌ | 31/36 [00:01<00:00, 42.09it/s]
+Epoch 878/1000: 100%|██████████| 36/36 [00:01<00:00, 29.50it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 879/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.76it/s]
+Epoch 879/1000:  33%|███▎      | 12/36 [00:00<00:00, 26.63it/s]
+Epoch 879/1000:  50%|█████     | 18/36 [00:00<00:00, 34.91it/s]
+Epoch 879/1000:  69%|██████▉   | 25/36 [00:00<00:00, 43.98it/s]
+Epoch 879/1000:  86%|████████▌ | 31/36 [00:00<00:00, 46.26it/s]
+Epoch 879/1000: 100%|██████████| 36/36 [00:01<00:00, 33.53it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 880/1000:   3%|▎         | 1/36 [00:00<00:12,  2.85it/s]
+Epoch 880/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.05it/s]
+Epoch 880/1000:  42%|████▏     | 15/36 [00:00<00:00, 35.62it/s]
+Epoch 880/1000:  58%|█████▊    | 21/36 [00:00<00:00, 41.78it/s]
+Epoch 880/1000:  75%|███████▌  | 27/36 [00:00<00:00, 44.62it/s]
+Epoch 880/1000:  92%|█████████▏| 33/36 [00:00<00:00, 46.75it/s]
+Epoch 880/1000: 100%|██████████| 36/36 [00:01<00:00, 35.08it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 881/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 881/1000:   3%|▎         | 1/36 [00:00<00:14,  2.46it/s]
+Epoch 881/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.96it/s]
+Epoch 881/1000:  39%|███▉      | 14/36 [00:00<00:00, 29.90it/s]
+Epoch 881/1000:  58%|█████▊    | 21/36 [00:00<00:00, 39.29it/s]
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+Epoch 881/1000:  94%|█████████▍| 34/36 [00:00<00:00, 47.15it/s]
+Epoch 881/1000: 100%|██████████| 36/36 [00:01<00:00, 32.52it/s]
+Learning rate updated: 1.738460461580375e-05
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 882/1000:  58%|█████▊    | 21/36 [00:00<00:00, 43.10it/s]
+Epoch 882/1000:  75%|███████▌  | 27/36 [00:00<00:00, 47.04it/s]
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+Epoch 882/1000: 100%|██████████| 36/36 [00:00<00:00, 37.10it/s]
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+Epoch 883/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.39it/s]
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+Epoch 883/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.67it/s]
+Epoch 883/1000:  81%|████████  | 29/36 [00:00<00:00, 43.26it/s]
+Epoch 883/1000: 100%|██████████| 36/36 [00:01<00:00, 49.11it/s]
+Epoch 883/1000: 100%|██████████| 36/36 [00:01<00:00, 32.63it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 884/1000:  61%|██████    | 22/36 [00:00<00:00, 41.77it/s]
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+Epoch 885/1000:   3%|▎         | 1/36 [00:00<00:12,  2.80it/s]
+Epoch 885/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.78it/s]
+Epoch 885/1000:  31%|███       | 11/36 [00:00<00:01, 24.87it/s]
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+Epoch 885/1000:  67%|██████▋   | 24/36 [00:00<00:00, 41.72it/s]
+Epoch 885/1000:  83%|████████▎ | 30/36 [00:00<00:00, 44.02it/s]
+Epoch 885/1000: 100%|██████████| 36/36 [00:01<00:00, 47.66it/s]
+Epoch 885/1000: 100%|██████████| 36/36 [00:01<00:00, 32.60it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 886/1000:   3%|▎         | 1/36 [00:00<00:13,  2.53it/s]
+Epoch 886/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.20it/s]
+Epoch 886/1000:  42%|████▏     | 15/36 [00:00<00:00, 32.85it/s]
+Epoch 886/1000:  61%|██████    | 22/36 [00:00<00:00, 40.98it/s]
+Epoch 886/1000:  78%|███████▊  | 28/36 [00:00<00:00, 43.63it/s]
+Epoch 886/1000:  94%|█████████▍| 34/36 [00:00<00:00, 47.05it/s]
+Epoch 886/1000: 100%|██████████| 36/36 [00:01<00:00, 33.77it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 887/1000:  56%|█████▌    | 20/36 [00:00<00:00, 40.82it/s]
+Epoch 887/1000:  72%|███████▏  | 26/36 [00:00<00:00, 45.73it/s]
+Epoch 887/1000:  89%|████████▉ | 32/36 [00:00<00:00, 47.99it/s]
+Epoch 887/1000: 100%|██████████| 36/36 [00:01<00:00, 33.17it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 888/1000:   3%|▎         | 1/36 [00:00<00:11,  2.98it/s]
+Epoch 888/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.90it/s]
+Epoch 888/1000:  33%|███▎      | 12/36 [00:00<00:00, 29.67it/s]
+Epoch 888/1000:  50%|█████     | 18/36 [00:00<00:00, 37.14it/s]
+Epoch 888/1000:  69%|██████▉   | 25/36 [00:00<00:00, 44.61it/s]
+Epoch 888/1000:  86%|████████▌ | 31/36 [00:00<00:00, 47.21it/s]
+Epoch 888/1000: 100%|██████████| 36/36 [00:01<00:00, 34.93it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 889/1000:   3%|▎         | 1/36 [00:00<00:15,  2.31it/s]
+Epoch 889/1000:  19%|█▉        | 7/36 [00:00<00:01, 16.17it/s]
+Epoch 889/1000:  36%|███▌      | 13/36 [00:00<00:00, 26.29it/s]
+Epoch 889/1000:  56%|█████▌    | 20/36 [00:00<00:00, 36.36it/s]
+Epoch 889/1000:  78%|███████▊  | 28/36 [00:00<00:00, 45.94it/s]
+Epoch 889/1000:  94%|█████████▍| 34/36 [00:01<00:00, 47.70it/s]
+Epoch 889/1000: 100%|██████████| 36/36 [00:01<00:00, 32.76it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 890/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.59it/s]
+Epoch 890/1000:  28%|██▊       | 10/36 [00:00<00:01, 22.93it/s]
+Epoch 890/1000:  47%|████▋     | 17/36 [00:00<00:00, 35.03it/s]
+Epoch 890/1000:  67%|██████▋   | 24/36 [00:00<00:00, 44.45it/s]
+Epoch 890/1000:  86%|████████▌ | 31/36 [00:00<00:00, 50.89it/s]
+Epoch 890/1000: 100%|██████████| 36/36 [00:01<00:00, 32.83it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 891/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.90it/s]
+Epoch 891/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.86it/s]
+Epoch 891/1000:  50%|█████     | 18/36 [00:00<00:00, 37.07it/s]
+Epoch 891/1000:  72%|███████▏  | 26/36 [00:00<00:00, 48.15it/s]
+Epoch 891/1000:  97%|█████████▋| 35/36 [00:00<00:00, 57.84it/s]
+Epoch 891/1000: 100%|██████████| 36/36 [00:00<00:00, 37.18it/s]
+epoch: 890, beta = 0.004900, Train MSE: 0.000588, Train CE:0.000001, Train KL:1.051286, Val MSE:0.000603, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 892/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 892/1000:   3%|▎         | 1/36 [00:00<00:13,  2.53it/s]
+Epoch 892/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.50it/s]
+Epoch 892/1000:  33%|███▎      | 12/36 [00:00<00:00, 25.76it/s]
+Epoch 892/1000:  47%|████▋     | 17/36 [00:00<00:00, 31.73it/s]
+Epoch 892/1000:  67%|██████▋   | 24/36 [00:00<00:00, 42.17it/s]
+Epoch 892/1000:  86%|████████▌ | 31/36 [00:00<00:00, 46.51it/s]
+Epoch 892/1000: 100%|██████████| 36/36 [00:01<00:00, 31.70it/s]
+Learning rate updated: 1.6515374385013564e-05
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 893/1000:   3%|▎         | 1/36 [00:00<00:13,  2.58it/s]
+Epoch 893/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.56it/s]
+Epoch 893/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.57it/s]
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+Epoch 893/1000:  75%|███████▌  | 27/36 [00:00<00:00, 46.36it/s]
+Epoch 893/1000:  92%|█████████▏| 33/36 [00:00<00:00, 47.73it/s]
+Epoch 893/1000: 100%|██████████| 36/36 [00:01<00:00, 32.95it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 894/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.45it/s]
+Epoch 894/1000:  36%|███▌      | 13/36 [00:00<00:00, 29.10it/s]
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+Epoch 894/1000:  72%|███████▏  | 26/36 [00:00<00:00, 45.31it/s]
+Epoch 894/1000:  92%|█████████▏| 33/36 [00:00<00:00, 49.73it/s]
+Epoch 894/1000: 100%|██████████| 36/36 [00:01<00:00, 33.99it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 895/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.16it/s]
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+Epoch 895/1000:  64%|██████▍   | 23/36 [00:00<00:00, 44.52it/s]
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+Epoch 897/1000:  67%|██████▋   | 24/36 [00:00<00:00, 39.42it/s]
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+Epoch 898/1000:  31%|███       | 11/36 [00:00<00:00, 25.69it/s]
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+Epoch 898/1000:  61%|██████    | 22/36 [00:00<00:00, 39.10it/s]
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+Epoch 906/1000:  31%|███       | 11/36 [00:00<00:01, 23.66it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 913/1000:  89%|████████▉ | 32/36 [00:00<00:00, 48.36it/s]
+Epoch 913/1000: 100%|██████████| 36/36 [00:00<00:00, 36.39it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 914/1000:  83%|████████▎ | 30/36 [00:00<00:00, 54.64it/s]
+Epoch 914/1000: 100%|██████████| 36/36 [00:00<00:00, 40.39it/s]
+Learning rate updated: 1.490512538247474e-05
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 915/1000:  50%|█████     | 18/36 [00:00<00:00, 33.36it/s]
+Epoch 915/1000:  67%|██████▋   | 24/36 [00:00<00:00, 39.48it/s]
+Epoch 915/1000:  83%|████████▎ | 30/36 [00:00<00:00, 42.70it/s]
+Epoch 915/1000:  97%|█████████▋| 35/36 [00:01<00:00, 43.53it/s]
+Epoch 915/1000: 100%|██████████| 36/36 [00:01<00:00, 29.31it/s]
+epoch: 914, beta = 0.004900, Train MSE: 0.000632, Train CE:0.000003, Train KL:1.044833, Val MSE:0.000632, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 916/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 916/1000:   3%|▎         | 1/36 [00:00<00:13,  2.56it/s]
+Epoch 916/1000:  22%|██▏       | 8/36 [00:00<00:01, 20.39it/s]
+Epoch 916/1000:  39%|███▉      | 14/36 [00:00<00:00, 31.21it/s]
+Epoch 916/1000:  56%|█████▌    | 20/36 [00:00<00:00, 38.35it/s]
+Epoch 916/1000:  78%|███████▊  | 28/36 [00:00<00:00, 48.31it/s]
+Epoch 916/1000:  97%|█████████▋| 35/36 [00:00<00:00, 54.15it/s]
+Epoch 916/1000: 100%|██████████| 36/36 [00:01<00:00, 35.02it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 917/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 917/1000:   3%|▎         | 1/36 [00:00<00:12,  2.81it/s]
+Epoch 917/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.73it/s]
+Epoch 917/1000:  39%|███▉      | 14/36 [00:00<00:00, 32.32it/s]
+Epoch 917/1000:  56%|█████▌    | 20/36 [00:00<00:00, 39.17it/s]
+Epoch 917/1000:  75%|███████▌  | 27/36 [00:00<00:00, 46.90it/s]
+Epoch 917/1000:  94%|█████████▍| 34/36 [00:00<00:00, 52.65it/s]
+Epoch 917/1000: 100%|██████████| 36/36 [00:01<00:00, 35.56it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 918/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 918/1000:   3%|▎         | 1/36 [00:00<00:12,  2.89it/s]
+Epoch 918/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.09it/s]
+Epoch 918/1000:  36%|███▌      | 13/36 [00:00<00:00, 30.17it/s]
+Epoch 918/1000:  53%|█████▎    | 19/36 [00:00<00:00, 37.91it/s]
+Epoch 918/1000:  69%|██████▉   | 25/36 [00:00<00:00, 43.21it/s]
+Epoch 918/1000:  86%|████████▌ | 31/36 [00:00<00:00, 47.94it/s]
+Epoch 918/1000: 100%|██████████| 36/36 [00:01<00:00, 35.24it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 919/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 917, beta = 0.004900, Train MSE: 0.000626, Train CE:0.000002, Train KL:1.046194, Val MSE:0.000598, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 919/1000:   3%|▎         | 1/36 [00:00<00:12,  2.82it/s]
+Epoch 919/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.66it/s]
+Epoch 919/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.02it/s]
+Epoch 919/1000:  50%|█████     | 18/36 [00:00<00:00, 35.94it/s]
+Epoch 919/1000:  69%|██████▉   | 25/36 [00:00<00:00, 44.47it/s]
+Epoch 919/1000:  86%|████████▌ | 31/36 [00:00<00:00, 47.94it/s]
+Epoch 919/1000: 100%|██████████| 36/36 [00:01<00:00, 34.50it/s]
+epoch: 918, beta = 0.004900, Train MSE: 0.000635, Train CE:0.000001, Train KL:1.045285, Val MSE:0.000626, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 920/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 920/1000:   3%|▎         | 1/36 [00:00<00:14,  2.45it/s]
+Epoch 920/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.90it/s]
+Epoch 920/1000:  31%|███       | 11/36 [00:00<00:01, 23.40it/s]
+Epoch 920/1000:  50%|█████     | 18/36 [00:00<00:00, 34.77it/s]
+Epoch 920/1000:  69%|██████▉   | 25/36 [00:00<00:00, 42.16it/s]
+Epoch 920/1000:  86%|████████▌ | 31/36 [00:00<00:00, 44.22it/s]
+Epoch 920/1000: 100%|██████████| 36/36 [00:01<00:00, 30.14it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 921/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 921/1000:   3%|▎         | 1/36 [00:00<00:12,  2.72it/s]
+Epoch 921/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.13it/s]
+Epoch 921/1000:  42%|████▏     | 15/36 [00:00<00:00, 34.25it/s]
+Epoch 921/1000:  61%|██████    | 22/36 [00:00<00:00, 44.12it/s]
+Epoch 921/1000:  81%|████████  | 29/36 [00:00<00:00, 48.90it/s]
+Epoch 921/1000:  97%|█████████▋| 35/36 [00:00<00:00, 51.05it/s]
+Epoch 921/1000: 100%|██████████| 36/36 [00:01<00:00, 35.06it/s]
+epoch: 920, beta = 0.004900, Train MSE: 0.000615, Train CE:0.000001, Train KL:1.045141, Val MSE:0.000620, Val CE:0.000005, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 922/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 922/1000:   3%|▎         | 1/36 [00:00<00:13,  2.69it/s]
+Epoch 922/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.11it/s]
+Epoch 922/1000:  42%|████▏     | 15/36 [00:00<00:00, 34.05it/s]
+Epoch 922/1000:  64%|██████▍   | 23/36 [00:00<00:00, 44.38it/s]
+Epoch 922/1000:  81%|████████  | 29/36 [00:00<00:00, 46.32it/s]
+Epoch 922/1000:  97%|█████████▋| 35/36 [00:00<00:00, 49.30it/s]
+Epoch 922/1000: 100%|██████████| 36/36 [00:01<00:00, 35.05it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 923/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 923/1000:   3%|▎         | 1/36 [00:00<00:11,  3.15it/s]
+Epoch 923/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.59it/s]
+Epoch 923/1000:  36%|███▌      | 13/36 [00:00<00:00, 33.20it/s]
+Epoch 923/1000:  56%|█████▌    | 20/36 [00:00<00:00, 42.62it/s]
+Epoch 923/1000:  72%|███████▏  | 26/36 [00:00<00:00, 44.66it/s]
+Epoch 923/1000:  89%|████████▉ | 32/36 [00:00<00:00, 46.48it/s]
+Epoch 923/1000: 100%|██████████| 36/36 [00:01<00:00, 35.21it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 924/1000:   3%|▎         | 1/36 [00:00<00:10,  3.25it/s]
+Epoch 924/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.89it/s]
+Epoch 924/1000:  33%|███▎      | 12/36 [00:00<00:00, 29.86it/s]
+Epoch 924/1000:  53%|█████▎    | 19/36 [00:00<00:00, 40.05it/s]
+Epoch 924/1000:  69%|██████▉   | 25/36 [00:00<00:00, 43.42it/s]
+Epoch 924/1000:  86%|████████▌ | 31/36 [00:00<00:00, 47.16it/s]
+Epoch 924/1000: 100%|██████████| 36/36 [00:01<00:00, 34.13it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 925/1000:   3%|▎         | 1/36 [00:00<00:13,  2.67it/s]
+Epoch 925/1000:  22%|██▏       | 8/36 [00:00<00:01, 20.27it/s]
+Epoch 925/1000:  42%|████▏     | 15/36 [00:00<00:00, 32.00it/s]
+Epoch 925/1000:  56%|█████▌    | 20/36 [00:00<00:00, 36.31it/s]
+Epoch 925/1000:  69%|██████▉   | 25/36 [00:00<00:00, 38.40it/s]
+Epoch 925/1000:  83%|████████▎ | 30/36 [00:00<00:00, 39.92it/s]
+Epoch 925/1000: 100%|██████████| 36/36 [00:01<00:00, 43.31it/s]
+Epoch 925/1000: 100%|██████████| 36/36 [00:01<00:00, 30.83it/s]
+Learning rate updated: 1.4159869113351003e-05
+epoch: 924, beta = 0.004900, Train MSE: 0.000605, Train CE:0.000001, Train KL:1.045167, Val MSE:0.000599, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 926/1000:   3%|▎         | 1/36 [00:00<00:13,  2.56it/s]
+Epoch 926/1000:  22%|██▏       | 8/36 [00:00<00:01, 20.29it/s]
+Epoch 926/1000:  42%|████▏     | 15/36 [00:00<00:00, 33.00it/s]
+Epoch 926/1000:  58%|█████▊    | 21/36 [00:00<00:00, 39.07it/s]
+Epoch 926/1000:  75%|███████▌  | 27/36 [00:00<00:00, 43.11it/s]
+Epoch 926/1000:  92%|█████████▏| 33/36 [00:00<00:00, 44.78it/s]
+Epoch 926/1000: 100%|██████████| 36/36 [00:01<00:00, 32.91it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 927/1000:   3%|▎         | 1/36 [00:00<00:16,  2.08it/s]
+Epoch 927/1000:  14%|█▍        | 5/36 [00:00<00:02, 10.66it/s]
+Epoch 927/1000:  28%|██▊       | 10/36 [00:00<00:01, 20.23it/s]
+Epoch 927/1000:  44%|████▍     | 16/36 [00:00<00:00, 30.11it/s]
+Epoch 927/1000:  61%|██████    | 22/36 [00:00<00:00, 37.02it/s]
+Epoch 927/1000:  78%|███████▊  | 28/36 [00:01<00:00, 42.05it/s]
+Epoch 927/1000:  92%|█████████▏| 33/36 [00:01<00:00, 42.17it/s]
+Epoch 927/1000: 100%|██████████| 36/36 [00:01<00:00, 28.37it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 928/1000:   3%|▎         | 1/36 [00:00<00:13,  2.61it/s]
+Epoch 928/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.56it/s]
+Epoch 928/1000:  28%|██▊       | 10/36 [00:00<00:01, 22.03it/s]
+Epoch 928/1000:  42%|████▏     | 15/36 [00:00<00:00, 29.57it/s]
+Epoch 928/1000:  58%|█████▊    | 21/36 [00:00<00:00, 36.61it/s]
+Epoch 928/1000:  72%|███████▏  | 26/36 [00:00<00:00, 40.13it/s]
+Epoch 928/1000:  92%|█████████▏| 33/36 [00:01<00:00, 47.26it/s]
+Epoch 928/1000: 100%|██████████| 36/36 [00:01<00:00, 31.14it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 929/1000:  19%|█▉        | 7/36 [00:00<00:01, 17.37it/s]
+Epoch 929/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.54it/s]
+Epoch 929/1000:  50%|█████     | 18/36 [00:00<00:00, 34.37it/s]
+Epoch 929/1000:  67%|██████▋   | 24/36 [00:00<00:00, 40.62it/s]
+Epoch 929/1000:  86%|████████▌ | 31/36 [00:00<00:00, 47.22it/s]
+Epoch 929/1000: 100%|██████████| 36/36 [00:01<00:00, 33.50it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 930/1000:   3%|▎         | 1/36 [00:00<00:12,  2.91it/s]
+Epoch 930/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.15it/s]
+Epoch 930/1000:  33%|███▎      | 12/36 [00:00<00:00, 28.14it/s]
+Epoch 930/1000:  47%|████▋     | 17/36 [00:00<00:00, 33.90it/s]
+Epoch 930/1000:  67%|██████▋   | 24/36 [00:00<00:00, 43.78it/s]
+Epoch 930/1000:  86%|████████▌ | 31/36 [00:00<00:00, 50.79it/s]
+Epoch 930/1000: 100%|██████████| 36/36 [00:01<00:00, 35.43it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 931/1000:   3%|▎         | 1/36 [00:00<00:11,  2.94it/s]
+Epoch 931/1000:  11%|█         | 4/36 [00:00<00:02, 10.93it/s]
+Epoch 931/1000:  25%|██▌       | 9/36 [00:00<00:01, 21.97it/s]
+Epoch 931/1000:  42%|████▏     | 15/36 [00:00<00:00, 32.44it/s]
+Epoch 931/1000:  64%|██████▍   | 23/36 [00:00<00:00, 44.42it/s]
+Epoch 931/1000:  83%|████████▎ | 30/36 [00:00<00:00, 50.77it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 932/1000:  19%|█▉        | 7/36 [00:00<00:01, 23.16it/s]
+Epoch 932/1000:  36%|███▌      | 13/36 [00:00<00:00, 33.57it/s]
+Epoch 932/1000:  53%|█████▎    | 19/36 [00:00<00:00, 40.34it/s]
+Epoch 932/1000:  72%|███████▏  | 26/36 [00:00<00:00, 47.27it/s]
+Epoch 932/1000:  92%|█████████▏| 33/36 [00:00<00:00, 52.58it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 933/1000:   3%|▎         | 1/36 [00:00<00:11,  2.93it/s]
+Epoch 933/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.57it/s]
+Epoch 933/1000:  31%|███       | 11/36 [00:00<00:00, 26.10it/s]
+Epoch 933/1000:  44%|████▍     | 16/36 [00:00<00:00, 32.47it/s]
+Epoch 933/1000:  58%|█████▊    | 21/36 [00:00<00:00, 36.43it/s]
+Epoch 933/1000:  75%|███████▌  | 27/36 [00:00<00:00, 41.93it/s]
+Epoch 933/1000:  92%|█████████▏| 33/36 [00:00<00:00, 44.88it/s]
+Epoch 933/1000: 100%|██████████| 36/36 [00:01<00:00, 31.58it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 934/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.14it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 935/1000:   3%|▎         | 1/36 [00:00<00:14,  2.35it/s]
+Epoch 935/1000:  22%|██▏       | 8/36 [00:00<00:01, 18.71it/s]
+Epoch 935/1000:  42%|████▏     | 15/36 [00:00<00:00, 30.93it/s]
+Epoch 935/1000:  58%|█████▊    | 21/36 [00:00<00:00, 37.98it/s]
+Epoch 935/1000:  75%|███████▌  | 27/36 [00:00<00:00, 43.08it/s]
+Epoch 935/1000:  92%|█████████▏| 33/36 [00:00<00:00, 46.05it/s]
+Epoch 935/1000: 100%|██████████| 36/36 [00:01<00:00, 31.76it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 936/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 934, beta = 0.004900, Train MSE: 0.000603, Train CE:0.000001, Train KL:1.046646, Val MSE:0.000631, Val CE:0.000009, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 936/1000:   3%|▎         | 1/36 [00:00<00:12,  2.82it/s]
+Epoch 936/1000:  22%|██▏       | 8/36 [00:00<00:01, 21.33it/s]
+Epoch 936/1000:  36%|███▌      | 13/36 [00:00<00:00, 28.41it/s]
+Epoch 936/1000:  50%|█████     | 18/36 [00:00<00:00, 32.51it/s]
+Epoch 936/1000:  64%|██████▍   | 23/36 [00:00<00:00, 36.22it/s]
+Epoch 936/1000:  78%|███████▊  | 28/36 [00:00<00:00, 39.17it/s]
+Epoch 936/1000:  92%|█████████▏| 33/36 [00:01<00:00, 42.14it/s]
+Epoch 936/1000: 100%|██████████| 36/36 [00:01<00:00, 31.43it/s]
+Learning rate updated: 1.3451875657683452e-05
+epoch: 935, beta = 0.004900, Train MSE: 0.000599, Train CE:0.000001, Train KL:1.046240, Val MSE:0.000618, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 937/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 937/1000:   3%|▎         | 1/36 [00:00<00:11,  3.02it/s]
+Epoch 937/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.75it/s]
+Epoch 937/1000:  33%|███▎      | 12/36 [00:00<00:00, 29.06it/s]
+Epoch 937/1000:  50%|█████     | 18/36 [00:00<00:00, 37.01it/s]
+Epoch 937/1000:  67%|██████▋   | 24/36 [00:00<00:00, 42.19it/s]
+Epoch 937/1000:  83%|████████▎ | 30/36 [00:00<00:00, 46.64it/s]
+Epoch 937/1000: 100%|██████████| 36/36 [00:00<00:00, 48.29it/s]
+Epoch 937/1000: 100%|██████████| 36/36 [00:01<00:00, 33.29it/s]
+epoch: 936, beta = 0.004900, Train MSE: 0.000626, Train CE:0.000001, Train KL:1.045155, Val MSE:0.000637, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 938/1000:   3%|▎         | 1/36 [00:00<00:12,  2.76it/s]
+Epoch 938/1000:  25%|██▌       | 9/36 [00:00<00:01, 23.95it/s]
+Epoch 938/1000:  42%|████▏     | 15/36 [00:00<00:00, 33.21it/s]
+Epoch 938/1000:  58%|█████▊    | 21/36 [00:00<00:00, 39.44it/s]
+Epoch 938/1000:  75%|███████▌  | 27/36 [00:00<00:00, 41.43it/s]
+Epoch 938/1000:  89%|████████▉ | 32/36 [00:00<00:00, 43.21it/s]
+Epoch 938/1000: 100%|██████████| 36/36 [00:01<00:00, 32.18it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 939/1000:   3%|▎         | 1/36 [00:00<00:14,  2.42it/s]
+Epoch 939/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.08it/s]
+Epoch 939/1000:  28%|██▊       | 10/36 [00:00<00:01, 21.73it/s]
+Epoch 939/1000:  44%|████▍     | 16/36 [00:00<00:00, 31.49it/s]
+Epoch 939/1000:  58%|█████▊    | 21/36 [00:00<00:00, 29.01it/s]
+Epoch 939/1000:  69%|██████▉   | 25/36 [00:01<00:00, 28.01it/s]
+Epoch 939/1000:  83%|████████▎ | 30/36 [00:01<00:00, 32.30it/s]
+Epoch 939/1000: 100%|██████████| 36/36 [00:01<00:00, 38.29it/s]
+Epoch 939/1000: 100%|██████████| 36/36 [00:01<00:00, 26.35it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 940/1000:   3%|▎         | 1/36 [00:00<00:12,  2.76it/s]
+Epoch 940/1000:  14%|█▍        | 5/36 [00:00<00:02, 12.93it/s]
+Epoch 940/1000:  31%|███       | 11/36 [00:00<00:00, 25.67it/s]
+Epoch 940/1000:  47%|████▋     | 17/36 [00:00<00:00, 34.58it/s]
+Epoch 940/1000:  64%|██████▍   | 23/36 [00:00<00:00, 41.32it/s]
+Epoch 940/1000:  83%|████████▎ | 30/36 [00:00<00:00, 48.03it/s]
+Epoch 940/1000: 100%|██████████| 36/36 [00:01<00:00, 34.33it/s]
+epoch: 939, beta = 0.004900, Train MSE: 0.000689, Train CE:0.000001, Train KL:1.042628, Val MSE:0.000694, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 941/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 941/1000:   3%|▎         | 1/36 [00:00<00:09,  3.57it/s]
+Epoch 941/1000:  19%|█▉        | 7/36 [00:00<00:01, 22.10it/s]
+Epoch 941/1000:  36%|███▌      | 13/36 [00:00<00:00, 33.77it/s]
+Epoch 941/1000:  53%|█████▎    | 19/36 [00:00<00:00, 39.36it/s]
+Epoch 941/1000:  72%|███████▏  | 26/36 [00:00<00:00, 46.20it/s]
+Epoch 941/1000:  89%|████████▉ | 32/36 [00:00<00:00, 48.74it/s]
+Epoch 941/1000: 100%|██████████| 36/36 [00:00<00:00, 36.09it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 942/1000:   0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 942/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.89it/s]
+Epoch 942/1000:  33%|███▎      | 12/36 [00:00<00:00, 28.64it/s]
+Epoch 942/1000:  47%|████▋     | 17/36 [00:00<00:00, 34.54it/s]
+Epoch 942/1000:  61%|██████    | 22/36 [00:00<00:00, 38.54it/s]
+Epoch 942/1000:  78%|███████▊  | 28/36 [00:00<00:00, 42.95it/s]
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+
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+Epoch 943/1000:  11%|█         | 4/36 [00:00<00:03,  8.83it/s]
+Epoch 943/1000:  22%|██▏       | 8/36 [00:00<00:01, 16.59it/s]
+Epoch 943/1000:  36%|███▌      | 13/36 [00:00<00:00, 25.27it/s]
+Epoch 943/1000:  50%|█████     | 18/36 [00:00<00:00, 31.97it/s]
+Epoch 943/1000:  67%|██████▋   | 24/36 [00:00<00:00, 39.73it/s]
+Epoch 943/1000:  81%|████████  | 29/36 [00:01<00:00, 41.99it/s]
+Epoch 943/1000:  94%|█████████▍| 34/36 [00:01<00:00, 36.96it/s]
+Epoch 943/1000: 100%|██████████| 36/36 [00:01<00:00, 26.51it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 944/1000:  14%|█▍        | 5/36 [00:00<00:03, 10.32it/s]
+Epoch 944/1000:  33%|███▎      | 12/36 [00:00<00:00, 24.14it/s]
+Epoch 944/1000:  50%|█████     | 18/36 [00:00<00:00, 32.65it/s]
+Epoch 944/1000:  67%|██████▋   | 24/36 [00:00<00:00, 39.76it/s]
+Epoch 944/1000:  83%|████████▎ | 30/36 [00:01<00:00, 43.00it/s]
+Epoch 944/1000: 100%|██████████| 36/36 [00:01<00:00, 45.16it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 945/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.44it/s]
+Epoch 945/1000:  36%|███▌      | 13/36 [00:00<00:00, 29.14it/s]
+Epoch 945/1000:  56%|█████▌    | 20/36 [00:00<00:00, 39.61it/s]
+Epoch 945/1000:  72%|███████▏  | 26/36 [00:00<00:00, 44.63it/s]
+Epoch 945/1000:  89%|████████▉ | 32/36 [00:00<00:00, 45.22it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 946/1000:  22%|██▏       | 8/36 [00:00<00:01, 20.64it/s]
+Epoch 946/1000:  42%|████▏     | 15/36 [00:00<00:00, 33.56it/s]
+Epoch 946/1000:  61%|██████    | 22/36 [00:00<00:00, 42.30it/s]
+Epoch 946/1000:  78%|███████▊  | 28/36 [00:00<00:00, 43.52it/s]
+Epoch 946/1000:  94%|█████████▍| 34/36 [00:00<00:00, 44.24it/s]
+Epoch 946/1000: 100%|██████████| 36/36 [00:01<00:00, 32.01it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 947/1000:   3%|▎         | 1/36 [00:00<00:15,  2.30it/s]
+Epoch 947/1000:  25%|██▌       | 9/36 [00:00<00:01, 21.05it/s]
+Epoch 947/1000:  42%|████▏     | 15/36 [00:00<00:00, 30.55it/s]
+Epoch 947/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.76it/s]
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+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 948/1000:   0%|          | 0/36 [00:00<?, ?it/s]Learning rate updated: 1.277928187479928e-05
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+
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+Epoch 948/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.66it/s]
+Epoch 948/1000:  31%|███       | 11/36 [00:00<00:00, 27.10it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 949/1000:  50%|█████     | 18/36 [00:00<00:00, 36.78it/s]
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+
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+Epoch 951/1000:  89%|████████▉ | 32/36 [00:01<00:00, 39.94it/s]
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+
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+
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+Epoch 953/1000:  19%|█▉        | 7/36 [00:00<00:01, 15.36it/s]
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+
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+Epoch 960/1000:  61%|██████    | 22/36 [00:01<00:00, 31.93it/s]
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+
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 962/1000:  11%|█         | 4/36 [00:00<00:03,  8.79it/s]
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+Epoch 962/1000:  86%|████████▌ | 31/36 [00:01<00:00, 44.17it/s]
+Epoch 962/1000: 100%|██████████| 36/36 [00:01<00:00, 45.33it/s]
+Epoch 962/1000: 100%|██████████| 36/36 [00:01<00:00, 28.65it/s]
+epoch: 961, beta = 0.004900, Train MSE: 0.000665, Train CE:0.000020, Train KL:1.039029, Val MSE:0.000671, Val CE:0.000071, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 963/1000:   3%|▎         | 1/36 [00:00<00:12,  2.80it/s]
+Epoch 963/1000:  17%|█▋        | 6/36 [00:00<00:01, 16.13it/s]
+Epoch 963/1000:  31%|███       | 11/36 [00:00<00:00, 25.48it/s]
+Epoch 963/1000:  47%|████▋     | 17/36 [00:00<00:00, 34.62it/s]
+Epoch 963/1000:  64%|██████▍   | 23/36 [00:00<00:00, 41.41it/s]
+Epoch 963/1000:  78%|███████▊  | 28/36 [00:00<00:00, 42.38it/s]
+Epoch 963/1000:  94%|█████████▍| 34/36 [00:00<00:00, 46.29it/s]
+Epoch 963/1000: 100%|██████████| 36/36 [00:01<00:00, 32.34it/s]
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+
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+Epoch 964/1000:  19%|█▉        | 7/36 [00:00<00:01, 20.46it/s]
+Epoch 964/1000:  33%|███▎      | 12/36 [00:00<00:00, 28.67it/s]
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+Epoch 964/1000:  72%|███████▏  | 26/36 [00:00<00:00, 37.07it/s]
+Epoch 964/1000:  86%|████████▌ | 31/36 [00:01<00:00, 36.61it/s]
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+
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+Epoch 965/1000:  19%|█▉        | 7/36 [00:00<00:02, 14.03it/s]
+Epoch 965/1000:  33%|███▎      | 12/36 [00:00<00:01, 22.05it/s]
+Epoch 965/1000:  47%|████▋     | 17/36 [00:00<00:00, 28.82it/s]
+Epoch 965/1000:  61%|██████    | 22/36 [00:00<00:00, 33.98it/s]
+Epoch 965/1000:  75%|███████▌  | 27/36 [00:01<00:00, 37.81it/s]
+Epoch 965/1000:  89%|████████▉ | 32/36 [00:01<00:00, 40.80it/s]
+Epoch 965/1000: 100%|██████████| 36/36 [00:01<00:00, 27.29it/s]
+epoch: 964, beta = 0.004900, Train MSE: 0.000678, Train CE:0.000006, Train KL:1.045488, Val MSE:0.000583, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 966/1000:   3%|▎         | 1/36 [00:00<00:15,  2.21it/s]
+Epoch 966/1000:  17%|█▋        | 6/36 [00:00<00:02, 13.43it/s]
+Epoch 966/1000:  31%|███       | 11/36 [00:00<00:01, 22.00it/s]
+Epoch 966/1000:  44%|████▍     | 16/36 [00:00<00:00, 29.23it/s]
+Epoch 966/1000:  58%|█████▊    | 21/36 [00:00<00:00, 31.96it/s]
+Epoch 966/1000:  69%|██████▉   | 25/36 [00:01<00:00, 31.68it/s]
+Epoch 966/1000:  81%|████████  | 29/36 [00:01<00:00, 31.41it/s]
+Epoch 966/1000:  92%|█████████▏| 33/36 [00:01<00:00, 30.78it/s]
+Epoch 966/1000: 100%|██████████| 36/36 [00:01<00:00, 24.62it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 967/1000:   3%|▎         | 1/36 [00:00<00:13,  2.52it/s]
+Epoch 967/1000:  11%|█         | 4/36 [00:00<00:03,  9.67it/s]
+Epoch 967/1000:  28%|██▊       | 10/36 [00:00<00:01, 22.16it/s]
+Epoch 967/1000:  42%|████▏     | 15/36 [00:00<00:00, 27.83it/s]
+Epoch 967/1000:  56%|█████▌    | 20/36 [00:00<00:00, 32.64it/s]
+Epoch 967/1000:  69%|██████▉   | 25/36 [00:00<00:00, 37.07it/s]
+Epoch 967/1000:  83%|████████▎ | 30/36 [00:01<00:00, 39.47it/s]
+Epoch 967/1000:  97%|█████████▋| 35/36 [00:01<00:00, 40.72it/s]
+Epoch 967/1000: 100%|██████████| 36/36 [00:01<00:00, 27.81it/s]
+epoch: 966, beta = 0.004900, Train MSE: 0.000657, Train CE:0.000004, Train KL:1.047103, Val MSE:0.000649, Val CE:0.000114, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 968/1000:   3%|▎         | 1/36 [00:00<00:10,  3.20it/s]
+Epoch 968/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.70it/s]
+Epoch 968/1000:  36%|███▌      | 13/36 [00:00<00:00, 31.05it/s]
+Epoch 968/1000:  53%|█████▎    | 19/36 [00:00<00:00, 38.97it/s]
+Epoch 968/1000:  69%|██████▉   | 25/36 [00:00<00:00, 43.72it/s]
+Epoch 968/1000:  86%|████████▌ | 31/36 [00:00<00:00, 46.39it/s]
+Epoch 968/1000: 100%|██████████| 36/36 [00:01<00:00, 34.73it/s]
+epoch: 967, beta = 0.004900, Train MSE: 0.000642, Train CE:0.000002, Train KL:1.047164, Val MSE:0.000612, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 969/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 969/1000:   3%|▎         | 1/36 [00:00<00:13,  2.63it/s]
+Epoch 969/1000:  17%|█▋        | 6/36 [00:00<00:02, 14.94it/s]
+Epoch 969/1000:  31%|███       | 11/36 [00:00<00:01, 23.89it/s]
+Epoch 969/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.56it/s]
+Epoch 969/1000:  61%|██████    | 22/36 [00:00<00:00, 35.09it/s]
+Epoch 969/1000:  75%|███████▌  | 27/36 [00:00<00:00, 38.34it/s]
+Epoch 969/1000:  89%|████████▉ | 32/36 [00:01<00:00, 41.36it/s]
+Epoch 969/1000: 100%|██████████| 36/36 [00:01<00:00, 29.68it/s]
+Learning rate updated: 1.153330189200635e-05
+epoch: 968, beta = 0.004900, Train MSE: 0.000593, Train CE:0.000080, Train KL:1.048146, Val MSE:0.000649, Val CE:0.000010, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 970/1000:  31%|███       | 11/36 [00:00<00:01, 24.04it/s]
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+Epoch 970/1000:  58%|█████▊    | 21/36 [00:00<00:00, 35.22it/s]
+Epoch 970/1000:  75%|███████▌  | 27/36 [00:00<00:00, 40.08it/s]
+Epoch 970/1000:  94%|█████████▍| 34/36 [00:01<00:00, 47.03it/s]
+Epoch 970/1000: 100%|██████████| 36/36 [00:01<00:00, 31.34it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 971/1000:  67%|██████▋   | 24/36 [00:00<00:00, 39.15it/s]
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+Epoch 971/1000: 100%|██████████| 36/36 [00:01<00:00, 33.11it/s]
+epoch: 970, beta = 0.004900, Train MSE: 0.000616, Train CE:0.000008, Train KL:1.048217, Val MSE:0.000580, Val CE:0.000003, Train ACC:1.000000, Val ACC:1.000000
+
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+Epoch 972/1000: 100%|██████████| 36/36 [00:01<00:00, 42.00it/s]
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+
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+Epoch 974/1000:  14%|█▍        | 5/36 [00:00<00:02, 11.65it/s]
+Epoch 974/1000:  31%|███       | 11/36 [00:00<00:01, 23.59it/s]
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+Epoch 974/1000:  69%|██████▉   | 25/36 [00:01<00:00, 30.27it/s]
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+
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+
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+
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+  0%|          | 0/36 [00:00<?, ?it/s]
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+
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+
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+
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+
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+Epoch 984/1000:  17%|█▋        | 6/36 [00:00<00:01, 17.07it/s]
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+Epoch 984/1000:  94%|█████████▍| 34/36 [00:00<00:00, 53.44it/s]
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+epoch: 983, beta = 0.004900, Train MSE: 0.000592, Train CE:0.000005, Train KL:1.049123, Val MSE:0.000570, Val CE:0.000077, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
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+Epoch 986/1000:   3%|▎         | 1/36 [00:00<00:12,  2.80it/s]
+Epoch 986/1000:  14%|█▍        | 5/36 [00:00<00:02, 13.38it/s]
+Epoch 986/1000:  31%|███       | 11/36 [00:00<00:00, 25.61it/s]
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+Epoch 986/1000:  61%|██████    | 22/36 [00:00<00:00, 37.93it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 988/1000:  50%|█████     | 18/36 [00:00<00:00, 31.71it/s]
+Epoch 988/1000:  69%|██████▉   | 25/36 [00:00<00:00, 40.83it/s]
+Epoch 988/1000:  89%|████████▉ | 32/36 [00:00<00:00, 47.65it/s]
+Epoch 988/1000: 100%|██████████| 36/36 [00:01<00:00, 31.33it/s]
+epoch: 987, beta = 0.004900, Train MSE: 0.000638, Train CE:0.000002, Train KL:1.047020, Val MSE:0.000597, Val CE:0.000126, Train ACC:1.000000, Val ACC:0.999944
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+
+Epoch 991/1000:   3%|▎         | 1/36 [00:00<00:15,  2.29it/s]
+Epoch 991/1000:  22%|██▏       | 8/36 [00:00<00:01, 18.70it/s]
+Epoch 991/1000:  42%|████▏     | 15/36 [00:00<00:00, 31.41it/s]
+Epoch 991/1000:  61%|██████    | 22/36 [00:00<00:00, 40.73it/s]
+Epoch 991/1000:  78%|███████▊  | 28/36 [00:00<00:00, 45.59it/s]
+Epoch 991/1000:  97%|█████████▋| 35/36 [00:00<00:00, 50.14it/s]
+Epoch 991/1000: 100%|██████████| 36/36 [00:01<00:00, 34.24it/s]
+Learning rate updated: 1.0408804957535729e-05
+epoch: 990, beta = 0.004900, Train MSE: 0.000575, Train CE:0.000102, Train KL:1.049775, Val MSE:0.000586, Val CE:0.000123, Train ACC:1.000000, Val ACC:0.999944
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 992/1000:   3%|▎         | 1/36 [00:00<00:14,  2.46it/s]
+Epoch 992/1000:  22%|██▏       | 8/36 [00:00<00:01, 19.79it/s]
+Epoch 992/1000:  42%|████▏     | 15/36 [00:00<00:00, 33.07it/s]
+Epoch 992/1000:  61%|██████    | 22/36 [00:00<00:00, 42.67it/s]
+Epoch 992/1000:  78%|███████▊  | 28/36 [00:00<00:00, 46.84it/s]
+Epoch 992/1000:  97%|█████████▋| 35/36 [00:00<00:00, 53.05it/s]
+Epoch 992/1000: 100%|██████████| 36/36 [00:01<00:00, 35.62it/s]
+epoch: 991, beta = 0.004900, Train MSE: 0.000582, Train CE:0.000005, Train KL:1.049280, Val MSE:0.000621, Val CE:0.000009, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 993/1000:   3%|▎         | 1/36 [00:00<00:15,  2.29it/s]
+Epoch 993/1000:  19%|█▉        | 7/36 [00:00<00:01, 15.97it/s]
+Epoch 993/1000:  39%|███▉      | 14/36 [00:00<00:00, 29.30it/s]
+Epoch 993/1000:  58%|█████▊    | 21/36 [00:00<00:00, 39.47it/s]
+Epoch 993/1000:  78%|███████▊  | 28/36 [00:00<00:00, 46.59it/s]
+Epoch 993/1000:  94%|█████████▍| 34/36 [00:00<00:00, 48.54it/s]
+Epoch 993/1000: 100%|██████████| 36/36 [00:01<00:00, 32.57it/s]
+epoch: 992, beta = 0.004900, Train MSE: 0.000586, Train CE:0.000015, Train KL:1.048555, Val MSE:0.000580, Val CE:0.000004, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 994/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 994/1000:   3%|▎         | 1/36 [00:00<00:11,  2.98it/s]
+Epoch 994/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.92it/s]
+Epoch 994/1000:  39%|███▉      | 14/36 [00:00<00:00, 34.34it/s]
+Epoch 994/1000:  58%|█████▊    | 21/36 [00:00<00:00, 44.38it/s]
+Epoch 994/1000:  78%|███████▊  | 28/36 [00:00<00:00, 48.92it/s]
+Epoch 994/1000:  94%|█████████▍| 34/36 [00:00<00:00, 50.66it/s]
+Epoch 994/1000: 100%|██████████| 36/36 [00:01<00:00, 33.51it/s]
+epoch: 993, beta = 0.004900, Train MSE: 0.000590, Train CE:0.000002, Train KL:1.047965, Val MSE:0.000575, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 995/1000:   0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 995/1000:  19%|█▉        | 7/36 [00:00<00:01, 18.46it/s]
+Epoch 995/1000:  39%|███▉      | 14/36 [00:00<00:00, 31.83it/s]
+Epoch 995/1000:  58%|█████▊    | 21/36 [00:00<00:00, 41.58it/s]
+Epoch 995/1000:  75%|███████▌  | 27/36 [00:00<00:00, 44.80it/s]
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+Epoch 995/1000: 100%|██████████| 36/36 [00:01<00:00, 34.71it/s]
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+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 996/1000:   3%|▎         | 1/36 [00:00<00:14,  2.44it/s]
+Epoch 996/1000:  22%|██▏       | 8/36 [00:00<00:01, 19.33it/s]
+Epoch 996/1000:  42%|████▏     | 15/36 [00:00<00:00, 31.54it/s]
+Epoch 996/1000:  61%|██████    | 22/36 [00:00<00:00, 40.38it/s]
+Epoch 996/1000:  78%|███████▊  | 28/36 [00:00<00:00, 45.36it/s]
+Epoch 996/1000:  97%|█████████▋| 35/36 [00:00<00:00, 50.42it/s]
+Epoch 996/1000: 100%|██████████| 36/36 [00:01<00:00, 34.17it/s]
+epoch: 995, beta = 0.004900, Train MSE: 0.000597, Train CE:0.000087, Train KL:1.047883, Val MSE:0.000588, Val CE:0.000026, Train ACC:1.000000, Val ACC:0.999972
+
+  0%|          | 0/36 [00:00<?, ?it/s]
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+Epoch 997/1000: 100%|██████████| 36/36 [00:01<00:00, 34.17it/s]
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 998/1000:   0%|          | 0/36 [00:00<?, ?it/s]epoch: 996, beta = 0.004900, Train MSE: 0.000576, Train CE:0.000001, Train KL:1.047803, Val MSE:0.000572, Val CE:0.000006, Train ACC:1.000000, Val ACC:1.000000
+
+Epoch 998/1000:   3%|▎         | 1/36 [00:00<00:11,  2.92it/s]
+Epoch 998/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.12it/s]
+Epoch 998/1000:  39%|███▉      | 14/36 [00:00<00:00, 32.46it/s]
+Epoch 998/1000:  56%|█████▌    | 20/36 [00:00<00:00, 39.86it/s]
+Epoch 998/1000:  72%|███████▏  | 26/36 [00:00<00:00, 45.61it/s]
+Epoch 998/1000:  92%|█████████▏| 33/36 [00:00<00:00, 50.67it/s]
+Epoch 998/1000: 100%|██████████| 36/36 [00:01<00:00, 35.21it/s]
+epoch: 997, beta = 0.004900, Train MSE: 0.000586, Train CE:0.000001, Train KL:1.046418, Val MSE:0.000579, Val CE:0.000002, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 999/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 999/1000:   3%|▎         | 1/36 [00:00<00:11,  3.08it/s]
+Epoch 999/1000:  19%|█▉        | 7/36 [00:00<00:01, 19.81it/s]
+Epoch 999/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.47it/s]
+Epoch 999/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.73it/s]
+Epoch 999/1000:  64%|██████▍   | 23/36 [00:00<00:00, 40.44it/s]
+Epoch 999/1000:  86%|████████▌ | 31/36 [00:00<00:00, 50.74it/s]
+Epoch 999/1000: 100%|██████████| 36/36 [00:00<00:00, 36.38it/s]
+epoch: 998, beta = 0.004900, Train MSE: 0.000647, Train CE:0.000003, Train KL:1.045670, Val MSE:0.000606, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+
+  0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 1000/1000:   0%|          | 0/36 [00:00<?, ?it/s]
+Epoch 1000/1000:   3%|▎         | 1/36 [00:00<00:12,  2.77it/s]
+Epoch 1000/1000:  17%|█▋        | 6/36 [00:00<00:01, 15.77it/s]
+Epoch 1000/1000:  33%|███▎      | 12/36 [00:00<00:00, 27.58it/s]
+Epoch 1000/1000:  47%|████▋     | 17/36 [00:00<00:00, 32.85it/s]
+Epoch 1000/1000:  64%|██████▍   | 23/36 [00:00<00:00, 39.58it/s]
+Epoch 1000/1000:  81%|████████  | 29/36 [00:00<00:00, 44.52it/s]
+Epoch 1000/1000:  97%|█████████▋| 35/36 [00:01<00:00, 46.31it/s]
+Epoch 1000/1000: 100%|██████████| 36/36 [00:01<00:00, 32.51it/s]
+epoch: 999, beta = 0.004900, Train MSE: 0.000689, Train CE:0.000001, Train KL:1.046629, Val MSE:0.000607, Val CE:0.000001, Train ACC:1.000000, Val ACC:1.000000
+Training time: 19.9970 mins
+Successfully load and save the model!
+Successfully save pretrained embeddings in disk!
+[TabSyn] Step 2/2: Training diffusion model
+/opt/conda/lib/python3.11/site-packages/torch/cuda/__init__.py:63: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+/workspace/tabsyn/tabsyn/ckpt/tabsyn_c20/
+MLPDiffusion(
+  (proj): Linear(in_features=28, out_features=1024, bias=True)
+  (mlp): Sequential(
+    (0): Linear(in_features=1024, out_features=2048, bias=True)
+    (1): SiLU()
+    (2): Linear(in_features=2048, out_features=2048, bias=True)
+    (3): SiLU()
+    (4): Linear(in_features=2048, out_features=1024, bias=True)
+    (5): SiLU()
+    (6): Linear(in_features=1024, out_features=28, bias=True)
+  )
+  (map_noise): PositionalEmbedding()
+  (time_embed): Sequential(
+    (0): Linear(in_features=1024, out_features=1024, bias=True)
+    (1): SiLU()
+    (2): Linear(in_features=1024, out_features=1024, bias=True)
+  )
+)
+the number of parameters 10551324
+[TabSyn][Diffusion] Resume from /workspace/tabsyn/tabsyn/ckpt/tabsyn_c20//model.pt
+
+  0%|          | 0/9 [00:00<?, ?it/s]
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+Epoch 1/1001:   0%|          | 0/9 [00:01<?, ?it/s, Loss=5.64]
+Epoch 1/1001:  11%|█         | 1/9 [00:01<00:09,  1.13s/it, Loss=5.64]
+Epoch 1/1001:  11%|█         | 1/9 [00:01<00:09,  1.13s/it, Loss=0.775]
+Epoch 1/1001:  11%|█         | 1/9 [00:01<00:09,  1.13s/it, Loss=0.723]
+Epoch 1/1001:  11%|█         | 1/9 [00:01<00:09,  1.13s/it, Loss=0.695]
+Epoch 1/1001:  11%|█         | 1/9 [00:01<00:09,  1.13s/it, Loss=0.66] 
+Epoch 1/1001:  11%|█         | 1/9 [00:01<00:09,  1.13s/it, Loss=0.615]
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+Epoch 1/1001: 100%|██████████| 9/9 [00:01<00:00,  6.97it/s, Loss=0.621]
+
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+Epoch 2/1001:  11%|█         | 1/9 [00:00<00:01,  4.83it/s, Loss=0.554]
+Epoch 2/1001:  78%|███████▊  | 7/9 [00:00<00:00, 26.49it/s, Loss=0.554]
+Epoch 2/1001:  78%|███████▊  | 7/9 [00:00<00:00, 26.49it/s, Loss=0.515]
+Epoch 2/1001:  78%|███████▊  | 7/9 [00:00<00:00, 26.49it/s, Loss=0.526]
+Epoch 2/1001: 100%|██████████| 9/9 [00:00<00:00, 21.78it/s, Loss=0.526]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
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+Epoch 3/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.501]
+Epoch 3/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.497]
+Epoch 3/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.489]
+Epoch 3/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.484]
+Epoch 3/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.467]
+Epoch 3/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.463]
+Epoch 3/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.464]
+Epoch 3/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.456]
+Epoch 3/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.446]
+Epoch 3/1001: 100%|██████████| 9/9 [00:00<00:00, 24.31it/s, Loss=0.446]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
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+Epoch 4/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.438]
+Epoch 4/1001:  11%|█         | 1/9 [00:00<00:02,  3.98it/s, Loss=0.438]
+Epoch 4/1001:  11%|█         | 1/9 [00:00<00:02,  3.98it/s, Loss=0.426]
+Epoch 4/1001:  11%|█         | 1/9 [00:00<00:02,  3.98it/s, Loss=0.429]
+Epoch 4/1001:  11%|█         | 1/9 [00:00<00:02,  3.98it/s, Loss=0.414]
+Epoch 4/1001:  11%|█         | 1/9 [00:00<00:02,  3.98it/s, Loss=0.409]
+Epoch 4/1001:  11%|█         | 1/9 [00:00<00:02,  3.98it/s, Loss=0.409]
+Epoch 4/1001:  11%|█         | 1/9 [00:00<00:02,  3.98it/s, Loss=0.406]
+Epoch 4/1001:  11%|█         | 1/9 [00:00<00:02,  3.98it/s, Loss=0.392]
+Epoch 4/1001:  11%|█         | 1/9 [00:00<00:02,  3.98it/s, Loss=0.422]
+Epoch 4/1001: 100%|██████████| 9/9 [00:00<00:00, 22.43it/s, Loss=0.422]
+
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+Epoch 5/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.397]
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+Epoch 5/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.399]
+Epoch 5/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.39] 
+Epoch 5/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.384]
+Epoch 5/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.389]
+Epoch 5/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.382]
+Epoch 5/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.379]
+Epoch 5/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.383]
+Epoch 5/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.368]
+Epoch 5/1001: 100%|██████████| 9/9 [00:00<00:00, 22.66it/s, Loss=0.368]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
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+Epoch 6/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.368]
+Epoch 6/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.368]
+Epoch 6/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.362]
+Epoch 6/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.366]
+Epoch 6/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.359]
+Epoch 6/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.353]
+Epoch 6/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.358]
+Epoch 6/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.378]
+Epoch 6/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.407]
+Epoch 6/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.374]
+Epoch 6/1001: 100%|██████████| 9/9 [00:00<00:00, 26.25it/s, Loss=0.374]
+Epoch 6/1001: 100%|██████████| 9/9 [00:00<00:00, 18.18it/s, Loss=0.374]
+
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+Epoch 7/1001:  11%|█         | 1/9 [00:00<00:01,  4.21it/s, Loss=0.393]
+Epoch 7/1001:  11%|█         | 1/9 [00:00<00:01,  4.21it/s, Loss=0.38] 
+Epoch 7/1001:  11%|█         | 1/9 [00:00<00:01,  4.21it/s, Loss=0.39]
+Epoch 7/1001:  11%|█         | 1/9 [00:00<00:01,  4.21it/s, Loss=0.388]
+Epoch 7/1001:  11%|█         | 1/9 [00:00<00:01,  4.21it/s, Loss=0.363]
+Epoch 7/1001:  11%|█         | 1/9 [00:00<00:01,  4.21it/s, Loss=0.384]
+Epoch 7/1001:  11%|█         | 1/9 [00:00<00:01,  4.21it/s, Loss=0.368]
+Epoch 7/1001:  11%|█         | 1/9 [00:00<00:01,  4.21it/s, Loss=0.376]
+Epoch 7/1001:  11%|█         | 1/9 [00:00<00:01,  4.21it/s, Loss=0.375]
+Epoch 7/1001: 100%|██████████| 9/9 [00:00<00:00, 22.27it/s, Loss=0.375]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 8/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 8/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.355]
+Epoch 8/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.355]
+Epoch 8/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.366]
+Epoch 8/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.354]
+Epoch 8/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.365]
+Epoch 8/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.358]
+Epoch 8/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.351]
+Epoch 8/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.342]
+Epoch 8/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.346]
+Epoch 8/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.336]
+Epoch 8/1001: 100%|██████████| 9/9 [00:00<00:00, 23.63it/s, Loss=0.336]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 9/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 9/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.341]
+Epoch 9/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.341]
+Epoch 9/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.339]
+Epoch 9/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.338]
+Epoch 9/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.328]
+Epoch 9/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.328]
+Epoch 9/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.317]
+Epoch 9/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.319]
+Epoch 9/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.324]
+Epoch 9/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.319]
+Epoch 9/1001: 100%|██████████| 9/9 [00:00<00:00, 23.71it/s, Loss=0.319]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 10/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 10/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.322]
+Epoch 10/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.322]
+Epoch 10/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.325]
+Epoch 10/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.343]
+Epoch 10/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.342]
+Epoch 10/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.343]
+Epoch 10/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.309]
+Epoch 10/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.328]
+Epoch 10/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.321]
+Epoch 10/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.318]
+Epoch 10/1001: 100%|██████████| 9/9 [00:00<00:00, 27.74it/s, Loss=0.318]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 11/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 11/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.315]
+Epoch 11/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.315]
+Epoch 11/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.319]
+Epoch 11/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.308]
+Epoch 11/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.311]
+Epoch 11/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.318]
+Epoch 11/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.322]
+Epoch 11/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.321]
+Epoch 11/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.314]
+Epoch 11/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.308]
+Epoch 11/1001: 100%|██████████| 9/9 [00:00<00:00, 21.84it/s, Loss=0.308]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 12/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 12/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.306]
+Epoch 12/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.306]
+Epoch 12/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.304]
+Epoch 12/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.298]
+Epoch 12/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.297]
+Epoch 12/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.293]
+Epoch 12/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.3]  
+Epoch 12/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.302]
+Epoch 12/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.304]
+Epoch 12/1001:  89%|████████▉ | 8/9 [00:00<00:00, 31.01it/s, Loss=0.304]
+Epoch 12/1001:  89%|████████▉ | 8/9 [00:00<00:00, 31.01it/s, Loss=0.301]
+Epoch 12/1001: 100%|██████████| 9/9 [00:00<00:00, 23.56it/s, Loss=0.301]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 13/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 13/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.289]
+Epoch 13/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.289]
+Epoch 13/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.295]
+Epoch 13/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.295]
+Epoch 13/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.302]
+Epoch 13/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.311]
+Epoch 13/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.301]
+Epoch 13/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.293]
+Epoch 13/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.297]
+Epoch 13/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.313]
+Epoch 13/1001: 100%|██████████| 9/9 [00:00<00:00, 22.82it/s, Loss=0.313]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 14/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 14/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.301]
+Epoch 14/1001:  11%|█         | 1/9 [00:00<00:01,  4.73it/s, Loss=0.301]
+Epoch 14/1001:  11%|█         | 1/9 [00:00<00:01,  4.73it/s, Loss=0.295]
+Epoch 14/1001:  11%|█         | 1/9 [00:00<00:01,  4.73it/s, Loss=0.289]
+Epoch 14/1001:  11%|█         | 1/9 [00:00<00:01,  4.73it/s, Loss=0.294]
+Epoch 14/1001:  11%|█         | 1/9 [00:00<00:01,  4.73it/s, Loss=0.297]
+Epoch 14/1001:  11%|█         | 1/9 [00:00<00:01,  4.73it/s, Loss=0.294]
+Epoch 14/1001:  11%|█         | 1/9 [00:00<00:01,  4.73it/s, Loss=0.305]
+Epoch 14/1001:  78%|███████▊  | 7/9 [00:00<00:00, 25.91it/s, Loss=0.305]
+Epoch 14/1001:  78%|███████▊  | 7/9 [00:00<00:00, 25.91it/s, Loss=0.29] 
+Epoch 14/1001:  78%|███████▊  | 7/9 [00:00<00:00, 25.91it/s, Loss=0.301]
+Epoch 14/1001: 100%|██████████| 9/9 [00:00<00:00, 21.69it/s, Loss=0.301]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 15/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 15/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.297]
+Epoch 15/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.297]
+Epoch 15/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.304]
+Epoch 15/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.294]
+Epoch 15/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.291]
+Epoch 15/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.291]
+Epoch 15/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.291]
+Epoch 15/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.288]
+Epoch 15/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.292]
+Epoch 15/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.284]
+Epoch 15/1001: 100%|██████████| 9/9 [00:00<00:00, 25.11it/s, Loss=0.284]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 16/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 16/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.285]
+Epoch 16/1001:  11%|█         | 1/9 [00:00<00:01,  4.79it/s, Loss=0.285]
+Epoch 16/1001:  11%|█         | 1/9 [00:00<00:01,  4.79it/s, Loss=0.287]
+Epoch 16/1001:  11%|█         | 1/9 [00:00<00:01,  4.79it/s, Loss=0.281]
+Epoch 16/1001:  11%|█         | 1/9 [00:00<00:01,  4.79it/s, Loss=0.285]
+Epoch 16/1001:  11%|█         | 1/9 [00:00<00:01,  4.79it/s, Loss=0.291]
+Epoch 16/1001:  11%|█         | 1/9 [00:00<00:01,  4.79it/s, Loss=0.293]
+Epoch 16/1001:  11%|█         | 1/9 [00:00<00:01,  4.79it/s, Loss=0.286]
+Epoch 16/1001:  11%|█         | 1/9 [00:00<00:01,  4.79it/s, Loss=0.281]
+Epoch 16/1001:  11%|█         | 1/9 [00:00<00:01,  4.79it/s, Loss=0.283]
+Epoch 16/1001: 100%|██████████| 9/9 [00:00<00:00, 25.75it/s, Loss=0.283]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 17/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 17/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.286]
+Epoch 17/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.286]
+Epoch 17/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.29] 
+Epoch 17/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.286]
+Epoch 17/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.308]
+Epoch 17/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.285]
+Epoch 17/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.289]
+Epoch 17/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.289]
+Epoch 17/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.292]
+Epoch 17/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.289]
+Epoch 17/1001: 100%|██████████| 9/9 [00:00<00:00, 29.31it/s, Loss=0.289]
+Epoch 17/1001: 100%|██████████| 9/9 [00:00<00:00, 21.13it/s, Loss=0.289]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 18/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 18/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.281]
+Epoch 18/1001:  11%|█         | 1/9 [00:00<00:01,  4.71it/s, Loss=0.281]
+Epoch 18/1001:  11%|█         | 1/9 [00:00<00:01,  4.71it/s, Loss=0.297]
+Epoch 18/1001:  11%|█         | 1/9 [00:00<00:01,  4.71it/s, Loss=0.291]
+Epoch 18/1001:  11%|█         | 1/9 [00:00<00:01,  4.71it/s, Loss=0.286]
+Epoch 18/1001:  11%|█         | 1/9 [00:00<00:01,  4.71it/s, Loss=0.29] 
+Epoch 18/1001:  11%|█         | 1/9 [00:00<00:01,  4.71it/s, Loss=0.28]
+Epoch 18/1001:  11%|█         | 1/9 [00:00<00:01,  4.71it/s, Loss=0.285]
+Epoch 18/1001:  11%|█         | 1/9 [00:00<00:01,  4.71it/s, Loss=0.293]
+Epoch 18/1001:  89%|████████▉ | 8/9 [00:00<00:00, 30.04it/s, Loss=0.293]
+Epoch 18/1001:  89%|████████▉ | 8/9 [00:00<00:00, 30.04it/s, Loss=0.279]
+Epoch 18/1001: 100%|██████████| 9/9 [00:00<00:00, 22.35it/s, Loss=0.279]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 19/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 19/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.284]
+Epoch 19/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.284]
+Epoch 19/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.279]
+Epoch 19/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.284]
+Epoch 19/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.276]
+Epoch 19/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.276]
+Epoch 19/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.283]
+Epoch 19/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.283]
+Epoch 19/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.279]
+Epoch 19/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.283]
+Epoch 19/1001: 100%|██████████| 9/9 [00:00<00:00, 22.40it/s, Loss=0.283]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 20/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 20/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.276]
+Epoch 20/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.276]
+Epoch 20/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.274]
+Epoch 20/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.286]
+Epoch 20/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.286]
+Epoch 20/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.283]
+Epoch 20/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.295]
+Epoch 20/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.282]
+Epoch 20/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.285]
+Epoch 20/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.277]
+Epoch 20/1001: 100%|██████████| 9/9 [00:00<00:00, 22.65it/s, Loss=0.277]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 21/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 21/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.279]
+Epoch 21/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.279]
+Epoch 21/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.286]
+Epoch 21/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.274]
+Epoch 21/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.286]
+Epoch 21/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.274]
+Epoch 21/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.283]
+Epoch 21/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.284]
+Epoch 21/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.273]
+Epoch 21/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.276]
+Epoch 21/1001: 100%|██████████| 9/9 [00:00<00:00, 30.35it/s, Loss=0.276]
+Epoch 21/1001: 100%|██████████| 9/9 [00:00<00:00, 21.16it/s, Loss=0.276]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 22/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 22/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.28]
+Epoch 22/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.28]
+Epoch 22/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.275]
+Epoch 22/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.277]
+Epoch 22/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.277]
+Epoch 22/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.274]
+Epoch 22/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.28] 
+Epoch 22/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.276]
+Epoch 22/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.275]
+Epoch 22/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.273]
+Epoch 22/1001: 100%|██████████| 9/9 [00:00<00:00, 31.60it/s, Loss=0.273]
+Epoch 22/1001: 100%|██████████| 9/9 [00:00<00:00, 22.63it/s, Loss=0.273]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 23/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 23/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.273]
+Epoch 23/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.273]
+Epoch 23/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.272]
+Epoch 23/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.276]
+Epoch 23/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.277]
+Epoch 23/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.271]
+Epoch 23/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.284]
+Epoch 23/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.277]
+Epoch 23/1001:  78%|███████▊  | 7/9 [00:00<00:00, 24.17it/s, Loss=0.277]
+Epoch 23/1001:  78%|███████▊  | 7/9 [00:00<00:00, 24.17it/s, Loss=0.277]
+Epoch 23/1001:  78%|███████▊  | 7/9 [00:00<00:00, 24.17it/s, Loss=0.264]
+Epoch 23/1001: 100%|██████████| 9/9 [00:00<00:00, 20.58it/s, Loss=0.264]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 24/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 24/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.272]
+Epoch 24/1001:  11%|█         | 1/9 [00:00<00:02,  3.46it/s, Loss=0.272]
+Epoch 24/1001:  11%|█         | 1/9 [00:00<00:02,  3.46it/s, Loss=0.273]
+Epoch 24/1001:  11%|█         | 1/9 [00:00<00:02,  3.46it/s, Loss=0.282]
+Epoch 24/1001:  11%|█         | 1/9 [00:00<00:02,  3.46it/s, Loss=0.276]
+Epoch 24/1001:  11%|█         | 1/9 [00:00<00:02,  3.46it/s, Loss=0.277]
+Epoch 24/1001:  11%|█         | 1/9 [00:00<00:02,  3.46it/s, Loss=0.273]
+Epoch 24/1001:  11%|█         | 1/9 [00:00<00:02,  3.46it/s, Loss=0.277]
+Epoch 24/1001:  11%|█         | 1/9 [00:00<00:02,  3.46it/s, Loss=0.273]
+Epoch 24/1001:  11%|█         | 1/9 [00:00<00:02,  3.46it/s, Loss=0.271]
+Epoch 24/1001: 100%|██████████| 9/9 [00:00<00:00, 20.06it/s, Loss=0.271]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 25/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 25/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.272]
+Epoch 25/1001:  11%|█         | 1/9 [00:00<00:01,  4.10it/s, Loss=0.272]
+Epoch 25/1001:  11%|█         | 1/9 [00:00<00:01,  4.10it/s, Loss=0.269]
+Epoch 25/1001:  11%|█         | 1/9 [00:00<00:01,  4.10it/s, Loss=0.267]
+Epoch 25/1001:  11%|█         | 1/9 [00:00<00:01,  4.10it/s, Loss=0.267]
+Epoch 25/1001:  11%|█         | 1/9 [00:00<00:01,  4.10it/s, Loss=0.274]
+Epoch 25/1001:  11%|█         | 1/9 [00:00<00:01,  4.10it/s, Loss=0.268]
+Epoch 25/1001:  11%|█         | 1/9 [00:00<00:01,  4.10it/s, Loss=0.275]
+Epoch 25/1001:  11%|█         | 1/9 [00:00<00:01,  4.10it/s, Loss=0.265]
+Epoch 25/1001:  11%|█         | 1/9 [00:00<00:01,  4.10it/s, Loss=0.272]
+Epoch 25/1001: 100%|██████████| 9/9 [00:00<00:00, 32.11it/s, Loss=0.272]
+Epoch 25/1001: 100%|██████████| 9/9 [00:00<00:00, 22.66it/s, Loss=0.272]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 26/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 26/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.276]
+Epoch 26/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.276]
+Epoch 26/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.272]
+Epoch 26/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.266]
+Epoch 26/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.268]
+Epoch 26/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.265]
+Epoch 26/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.27] 
+Epoch 26/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.268]
+Epoch 26/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.265]
+Epoch 26/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.27] 
+Epoch 26/1001: 100%|██████████| 9/9 [00:00<00:00, 22.88it/s, Loss=0.27]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 27/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 27/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.266]
+Epoch 27/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.266]
+Epoch 27/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.267]
+Epoch 27/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.276]
+Epoch 27/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.273]
+Epoch 27/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.276]
+Epoch 27/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.268]
+Epoch 27/1001:  67%|██████▋   | 6/9 [00:00<00:00, 19.76it/s, Loss=0.268]
+Epoch 27/1001:  67%|██████▋   | 6/9 [00:00<00:00, 19.76it/s, Loss=0.27] 
+Epoch 27/1001:  67%|██████▋   | 6/9 [00:00<00:00, 19.76it/s, Loss=0.278]
+Epoch 27/1001:  67%|██████▋   | 6/9 [00:00<00:00, 19.76it/s, Loss=0.265]
+Epoch 27/1001: 100%|██████████| 9/9 [00:00<00:00, 19.33it/s, Loss=0.265]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 28/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 28/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.269]
+Epoch 28/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.269]
+Epoch 28/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.262]
+Epoch 28/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.27] 
+Epoch 28/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.266]
+Epoch 28/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.265]
+Epoch 28/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.269]
+Epoch 28/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.261]
+Epoch 28/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.269]
+Epoch 28/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.271]
+Epoch 28/1001: 100%|██████████| 9/9 [00:00<00:00, 22.73it/s, Loss=0.271]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 29/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 29/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.266]
+Epoch 29/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.266]
+Epoch 29/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.266]
+Epoch 29/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.256]
+Epoch 29/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.266]
+Epoch 29/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.263]
+Epoch 29/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.255]
+Epoch 29/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.264]
+Epoch 29/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.264]
+Epoch 29/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.257]
+Epoch 29/1001: 100%|██████████| 9/9 [00:00<00:00, 21.59it/s, Loss=0.257]
+Epoch 29/1001: 100%|██████████| 9/9 [00:00<00:00, 15.14it/s, Loss=0.257]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 30/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 30/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.262]
+Epoch 30/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.262]
+Epoch 30/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.261]
+Epoch 30/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.259]
+Epoch 30/1001:  33%|███▎      | 3/9 [00:00<00:00,  9.81it/s, Loss=0.259]
+Epoch 30/1001:  33%|███▎      | 3/9 [00:00<00:00,  9.81it/s, Loss=0.261]
+Epoch 30/1001:  33%|███▎      | 3/9 [00:00<00:00,  9.81it/s, Loss=0.262]
+Epoch 30/1001:  33%|███▎      | 3/9 [00:00<00:00,  9.81it/s, Loss=0.261]
+Epoch 30/1001:  33%|███▎      | 3/9 [00:00<00:00,  9.81it/s, Loss=0.261]
+Epoch 30/1001:  33%|███▎      | 3/9 [00:00<00:00,  9.81it/s, Loss=0.268]
+Epoch 30/1001:  33%|███▎      | 3/9 [00:00<00:00,  9.81it/s, Loss=0.266]
+Epoch 30/1001: 100%|██████████| 9/9 [00:00<00:00, 18.04it/s, Loss=0.266]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 31/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 31/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.271]
+Epoch 31/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.271]
+Epoch 31/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.28] 
+Epoch 31/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.269]
+Epoch 31/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.281]
+Epoch 31/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.263]
+Epoch 31/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.273]
+Epoch 31/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.285]
+Epoch 31/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.265]
+Epoch 31/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.27] 
+Epoch 31/1001: 100%|██████████| 9/9 [00:00<00:00, 20.75it/s, Loss=0.27]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 32/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 32/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.276]
+Epoch 32/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.276]
+Epoch 32/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.263]
+Epoch 32/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.27] 
+Epoch 32/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.262]
+Epoch 32/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.269]
+Epoch 32/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.267]
+Epoch 32/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.262]
+Epoch 32/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.261]
+Epoch 32/1001:  89%|████████▉ | 8/9 [00:00<00:00, 25.34it/s, Loss=0.261]
+Epoch 32/1001:  89%|████████▉ | 8/9 [00:00<00:00, 25.34it/s, Loss=0.259]
+Epoch 32/1001: 100%|██████████| 9/9 [00:00<00:00, 19.60it/s, Loss=0.259]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 33/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 33/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.269]
+Epoch 33/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.269]
+Epoch 33/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.275]
+Epoch 33/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.267]
+Epoch 33/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.263]
+Epoch 33/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.266]
+Epoch 33/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.258]
+Epoch 33/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.264]
+Epoch 33/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.263]
+Epoch 33/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.265]
+Epoch 33/1001: 100%|██████████| 9/9 [00:00<00:00, 31.51it/s, Loss=0.265]
+Epoch 33/1001: 100%|██████████| 9/9 [00:00<00:00, 22.33it/s, Loss=0.265]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 34/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 34/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.266]
+Epoch 34/1001:  11%|█         | 1/9 [00:00<00:02,  3.64it/s, Loss=0.266]
+Epoch 34/1001:  11%|█         | 1/9 [00:00<00:02,  3.64it/s, Loss=0.262]
+Epoch 34/1001:  11%|█         | 1/9 [00:00<00:02,  3.64it/s, Loss=0.261]
+Epoch 34/1001:  11%|█         | 1/9 [00:00<00:02,  3.64it/s, Loss=0.258]
+Epoch 34/1001:  11%|█         | 1/9 [00:00<00:02,  3.64it/s, Loss=0.259]
+Epoch 34/1001:  11%|█         | 1/9 [00:00<00:02,  3.64it/s, Loss=0.259]
+Epoch 34/1001:  11%|█         | 1/9 [00:00<00:02,  3.64it/s, Loss=0.259]
+Epoch 34/1001:  11%|█         | 1/9 [00:00<00:02,  3.64it/s, Loss=0.26] 
+Epoch 34/1001:  11%|█         | 1/9 [00:00<00:02,  3.64it/s, Loss=0.253]
+Epoch 34/1001: 100%|██████████| 9/9 [00:00<00:00, 20.82it/s, Loss=0.253]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 35/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 35/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.264]
+Epoch 35/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.264]
+Epoch 35/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.256]
+Epoch 35/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.258]
+Epoch 35/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.256]
+Epoch 35/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.262]
+Epoch 35/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.257]
+Epoch 35/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.26] 
+Epoch 35/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.263]
+Epoch 35/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.258]
+Epoch 35/1001: 100%|██████████| 9/9 [00:00<00:00, 26.35it/s, Loss=0.258]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 36/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 36/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.265]
+Epoch 36/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.265]
+Epoch 36/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.259]
+Epoch 36/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.257]
+Epoch 36/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.265]
+Epoch 36/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.264]
+Epoch 36/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.263]
+Epoch 36/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.265]
+Epoch 36/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.258]
+Epoch 36/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.257]
+Epoch 36/1001: 100%|██████████| 9/9 [00:00<00:00, 27.45it/s, Loss=0.257]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 37/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 37/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.26]
+Epoch 37/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.26]
+Epoch 37/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.268]
+Epoch 37/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.263]
+Epoch 37/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.257]
+Epoch 37/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.256]
+Epoch 37/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.253]
+Epoch 37/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.264]
+Epoch 37/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.262]
+Epoch 37/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.26] 
+Epoch 37/1001: 100%|██████████| 9/9 [00:00<00:00, 30.20it/s, Loss=0.26]
+Epoch 37/1001: 100%|██████████| 9/9 [00:00<00:00, 21.67it/s, Loss=0.26]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 38/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 38/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.258]
+Epoch 38/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.258]
+Epoch 38/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.254]
+Epoch 38/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.26] 
+Epoch 38/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.26]
+Epoch 38/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.26]
+Epoch 38/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.255]
+Epoch 38/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.263]
+Epoch 38/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.256]
+Epoch 38/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.257]
+Epoch 38/1001: 100%|██████████| 9/9 [00:00<00:00, 34.68it/s, Loss=0.257]
+Epoch 38/1001: 100%|██████████| 9/9 [00:00<00:00, 24.13it/s, Loss=0.257]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 39/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 39/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.26]
+Epoch 39/1001:  11%|█         | 1/9 [00:00<00:01,  4.98it/s, Loss=0.26]
+Epoch 39/1001:  11%|█         | 1/9 [00:00<00:01,  4.98it/s, Loss=0.261]
+Epoch 39/1001:  11%|█         | 1/9 [00:00<00:01,  4.98it/s, Loss=0.266]
+Epoch 39/1001:  11%|█         | 1/9 [00:00<00:01,  4.98it/s, Loss=0.28] 
+Epoch 39/1001:  11%|█         | 1/9 [00:00<00:01,  4.98it/s, Loss=0.261]
+Epoch 39/1001:  11%|█         | 1/9 [00:00<00:01,  4.98it/s, Loss=0.26] 
+Epoch 39/1001:  11%|█         | 1/9 [00:00<00:01,  4.98it/s, Loss=0.269]
+Epoch 39/1001:  11%|█         | 1/9 [00:00<00:01,  4.98it/s, Loss=0.261]
+Epoch 39/1001:  11%|█         | 1/9 [00:00<00:01,  4.98it/s, Loss=0.256]
+Epoch 39/1001: 100%|██████████| 9/9 [00:00<00:00, 27.11it/s, Loss=0.256]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 40/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 40/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.264]
+Epoch 40/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.264]
+Epoch 40/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.258]
+Epoch 40/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.257]
+Epoch 40/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.265]
+Epoch 40/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.262]
+Epoch 40/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.258]
+Epoch 40/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.259]
+Epoch 40/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.256]
+Epoch 40/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.263]
+Epoch 40/1001: 100%|██████████| 9/9 [00:00<00:00, 20.96it/s, Loss=0.263]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 41/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 41/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.26]
+Epoch 41/1001:  11%|█         | 1/9 [00:00<00:02,  3.60it/s, Loss=0.26]
+Epoch 41/1001:  11%|█         | 1/9 [00:00<00:02,  3.60it/s, Loss=0.262]
+Epoch 41/1001:  11%|█         | 1/9 [00:00<00:02,  3.60it/s, Loss=0.265]
+Epoch 41/1001:  11%|█         | 1/9 [00:00<00:02,  3.60it/s, Loss=0.266]
+Epoch 41/1001:  11%|█         | 1/9 [00:00<00:02,  3.60it/s, Loss=0.255]
+Epoch 41/1001:  11%|█         | 1/9 [00:00<00:02,  3.60it/s, Loss=0.262]
+Epoch 41/1001:  11%|█         | 1/9 [00:00<00:02,  3.60it/s, Loss=0.258]
+Epoch 41/1001:  11%|█         | 1/9 [00:00<00:02,  3.60it/s, Loss=0.255]
+Epoch 41/1001:  11%|█         | 1/9 [00:00<00:02,  3.60it/s, Loss=0.261]
+Epoch 41/1001: 100%|██████████| 9/9 [00:00<00:00, 21.45it/s, Loss=0.261]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 42/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 42/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.253]
+Epoch 42/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.253]
+Epoch 42/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.267]
+Epoch 42/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.266]
+Epoch 42/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.262]
+Epoch 42/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.258]
+Epoch 42/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.26] 
+Epoch 42/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.262]
+Epoch 42/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.261]
+Epoch 42/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.262]
+Epoch 42/1001: 100%|██████████| 9/9 [00:00<00:00, 22.76it/s, Loss=0.262]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 43/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 43/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.26]
+Epoch 43/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.26]
+Epoch 43/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.255]
+Epoch 43/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.256]
+Epoch 43/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.258]
+Epoch 43/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.257]
+Epoch 43/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.254]
+Epoch 43/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.264]
+Epoch 43/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.263]
+Epoch 43/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.264]
+Epoch 43/1001: 100%|██████████| 9/9 [00:00<00:00, 23.32it/s, Loss=0.264]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 44/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 44/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.255]
+Epoch 44/1001:  11%|█         | 1/9 [00:00<00:01,  4.80it/s, Loss=0.255]
+Epoch 44/1001:  11%|█         | 1/9 [00:00<00:01,  4.80it/s, Loss=0.257]
+Epoch 44/1001:  11%|█         | 1/9 [00:00<00:01,  4.80it/s, Loss=0.259]
+Epoch 44/1001:  11%|█         | 1/9 [00:00<00:01,  4.80it/s, Loss=0.257]
+Epoch 44/1001:  11%|█         | 1/9 [00:00<00:01,  4.80it/s, Loss=0.256]
+Epoch 44/1001:  11%|█         | 1/9 [00:00<00:01,  4.80it/s, Loss=0.255]
+Epoch 44/1001:  11%|█         | 1/9 [00:00<00:01,  4.80it/s, Loss=0.254]
+Epoch 44/1001:  11%|█         | 1/9 [00:00<00:01,  4.80it/s, Loss=0.26] 
+Epoch 44/1001:  11%|█         | 1/9 [00:00<00:01,  4.80it/s, Loss=0.255]
+Epoch 44/1001: 100%|██████████| 9/9 [00:00<00:00, 25.52it/s, Loss=0.255]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 45/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 45/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.252]
+Epoch 45/1001:  11%|█         | 1/9 [00:00<00:01,  4.00it/s, Loss=0.252]
+Epoch 45/1001:  11%|█         | 1/9 [00:00<00:01,  4.00it/s, Loss=0.259]
+Epoch 45/1001:  11%|█         | 1/9 [00:00<00:01,  4.00it/s, Loss=0.255]
+Epoch 45/1001:  11%|█         | 1/9 [00:00<00:01,  4.00it/s, Loss=0.261]
+Epoch 45/1001:  11%|█         | 1/9 [00:00<00:01,  4.00it/s, Loss=0.252]
+Epoch 45/1001:  11%|█         | 1/9 [00:00<00:01,  4.00it/s, Loss=0.251]
+Epoch 45/1001:  11%|█         | 1/9 [00:00<00:01,  4.00it/s, Loss=0.258]
+Epoch 45/1001:  11%|█         | 1/9 [00:00<00:01,  4.00it/s, Loss=0.255]
+Epoch 45/1001:  11%|█         | 1/9 [00:00<00:01,  4.00it/s, Loss=0.257]
+Epoch 45/1001: 100%|██████████| 9/9 [00:00<00:00, 23.73it/s, Loss=0.257]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 46/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 46/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.259]
+Epoch 46/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.259]
+Epoch 46/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.253]
+Epoch 46/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.257]
+Epoch 46/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.257]
+Epoch 46/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.261]
+Epoch 46/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.263]
+Epoch 46/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.258]
+Epoch 46/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.264]
+Epoch 46/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.259]
+Epoch 46/1001: 100%|██████████| 9/9 [00:00<00:00, 21.44it/s, Loss=0.259]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 47/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 47/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.257]
+Epoch 47/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.257]
+Epoch 47/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.261]
+Epoch 47/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.255]
+Epoch 47/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.262]
+Epoch 47/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.258]
+Epoch 47/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.257]
+Epoch 47/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.253]
+Epoch 47/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.259]
+Epoch 47/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.261]
+Epoch 47/1001: 100%|██████████| 9/9 [00:00<00:00, 24.41it/s, Loss=0.261]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 48/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 48/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.259]
+Epoch 48/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.259]
+Epoch 48/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.257]
+Epoch 48/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.256]
+Epoch 48/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.258]
+Epoch 48/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.253]
+Epoch 48/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.255]
+Epoch 48/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.256]
+Epoch 48/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.255]
+Epoch 48/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.98it/s, Loss=0.255]
+Epoch 48/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.98it/s, Loss=0.265]
+Epoch 48/1001: 100%|██████████| 9/9 [00:00<00:00, 21.12it/s, Loss=0.265]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 49/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 49/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.259]
+Epoch 49/1001:  11%|█         | 1/9 [00:00<00:01,  4.54it/s, Loss=0.259]
+Epoch 49/1001:  11%|█         | 1/9 [00:00<00:01,  4.54it/s, Loss=0.252]
+Epoch 49/1001:  11%|█         | 1/9 [00:00<00:01,  4.54it/s, Loss=0.254]
+Epoch 49/1001:  11%|█         | 1/9 [00:00<00:01,  4.54it/s, Loss=0.257]
+Epoch 49/1001:  11%|█         | 1/9 [00:00<00:01,  4.54it/s, Loss=0.255]
+Epoch 49/1001:  11%|█         | 1/9 [00:00<00:01,  4.54it/s, Loss=0.251]
+Epoch 49/1001:  11%|█         | 1/9 [00:00<00:01,  4.54it/s, Loss=0.257]
+Epoch 49/1001:  11%|█         | 1/9 [00:00<00:01,  4.54it/s, Loss=0.254]
+Epoch 49/1001:  11%|█         | 1/9 [00:00<00:01,  4.54it/s, Loss=0.249]
+Epoch 49/1001: 100%|██████████| 9/9 [00:00<00:00, 26.15it/s, Loss=0.249]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 50/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 50/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.251]
+Epoch 50/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.251]
+Epoch 50/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.254]
+Epoch 50/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.251]
+Epoch 50/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.262]
+Epoch 50/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.254]
+Epoch 50/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.252]
+Epoch 50/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.259]
+Epoch 50/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.248]
+Epoch 50/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.253]
+Epoch 50/1001: 100%|██████████| 9/9 [00:00<00:00, 22.48it/s, Loss=0.253]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 51/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 51/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.263]
+Epoch 51/1001:  11%|█         | 1/9 [00:00<00:01,  4.64it/s, Loss=0.263]
+Epoch 51/1001:  11%|█         | 1/9 [00:00<00:01,  4.64it/s, Loss=0.258]
+Epoch 51/1001:  11%|█         | 1/9 [00:00<00:01,  4.64it/s, Loss=0.262]
+Epoch 51/1001:  11%|█         | 1/9 [00:00<00:01,  4.64it/s, Loss=0.261]
+Epoch 51/1001:  11%|█         | 1/9 [00:00<00:01,  4.64it/s, Loss=0.251]
+Epoch 51/1001:  11%|█         | 1/9 [00:00<00:01,  4.64it/s, Loss=0.259]
+Epoch 51/1001:  11%|█         | 1/9 [00:00<00:01,  4.64it/s, Loss=0.254]
+Epoch 51/1001:  11%|█         | 1/9 [00:00<00:01,  4.64it/s, Loss=0.257]
+Epoch 51/1001:  11%|█         | 1/9 [00:00<00:01,  4.64it/s, Loss=0.255]
+Epoch 51/1001: 100%|██████████| 9/9 [00:00<00:00, 26.09it/s, Loss=0.255]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 52/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 52/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.259]
+Epoch 52/1001:  11%|█         | 1/9 [00:00<00:01,  6.99it/s, Loss=0.259]
+Epoch 52/1001:  11%|█         | 1/9 [00:00<00:01,  6.99it/s, Loss=0.26] 
+Epoch 52/1001:  11%|█         | 1/9 [00:00<00:01,  6.99it/s, Loss=0.262]
+Epoch 52/1001:  11%|█         | 1/9 [00:00<00:01,  6.99it/s, Loss=0.253]
+Epoch 52/1001:  11%|█         | 1/9 [00:00<00:01,  6.99it/s, Loss=0.264]
+Epoch 52/1001:  11%|█         | 1/9 [00:00<00:01,  6.99it/s, Loss=0.262]
+Epoch 52/1001:  11%|█         | 1/9 [00:00<00:01,  6.99it/s, Loss=0.257]
+Epoch 52/1001:  11%|█         | 1/9 [00:00<00:01,  6.99it/s, Loss=0.253]
+Epoch 52/1001:  11%|█         | 1/9 [00:00<00:01,  6.99it/s, Loss=0.257]
+Epoch 52/1001: 100%|██████████| 9/9 [00:00<00:00, 32.05it/s, Loss=0.257]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 53/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 53/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.252]
+Epoch 53/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.252]
+Epoch 53/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.257]
+Epoch 53/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.259]
+Epoch 53/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.26] 
+Epoch 53/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.261]
+Epoch 53/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.257]
+Epoch 53/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.259]
+Epoch 53/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.252]
+Epoch 53/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.255]
+Epoch 53/1001: 100%|██████████| 9/9 [00:00<00:00, 30.00it/s, Loss=0.255]
+Epoch 53/1001: 100%|██████████| 9/9 [00:00<00:00, 20.64it/s, Loss=0.255]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 54/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 54/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.256]
+Epoch 54/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.256]
+Epoch 54/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.263]
+Epoch 54/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.252]
+Epoch 54/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.258]
+Epoch 54/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.252]
+Epoch 54/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.253]
+Epoch 54/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.254]
+Epoch 54/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.254]
+Epoch 54/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.52it/s, Loss=0.254]
+Epoch 54/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.52it/s, Loss=0.257]
+Epoch 54/1001: 100%|██████████| 9/9 [00:00<00:00, 20.53it/s, Loss=0.257]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 55/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 55/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.257]
+Epoch 55/1001:  11%|█         | 1/9 [00:00<00:02,  3.31it/s, Loss=0.257]
+Epoch 55/1001:  11%|█         | 1/9 [00:00<00:02,  3.31it/s, Loss=0.251]
+Epoch 55/1001:  11%|█         | 1/9 [00:00<00:02,  3.31it/s, Loss=0.258]
+Epoch 55/1001:  11%|█         | 1/9 [00:00<00:02,  3.31it/s, Loss=0.26] 
+Epoch 55/1001:  11%|█         | 1/9 [00:00<00:02,  3.31it/s, Loss=0.258]
+Epoch 55/1001:  11%|█         | 1/9 [00:00<00:02,  3.31it/s, Loss=0.257]
+Epoch 55/1001:  11%|█         | 1/9 [00:00<00:02,  3.31it/s, Loss=0.257]
+Epoch 55/1001:  11%|█         | 1/9 [00:00<00:02,  3.31it/s, Loss=0.254]
+Epoch 55/1001:  11%|█         | 1/9 [00:00<00:02,  3.31it/s, Loss=0.248]
+Epoch 55/1001: 100%|██████████| 9/9 [00:00<00:00, 20.65it/s, Loss=0.248]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 56/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 56/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.252]
+Epoch 56/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.252]
+Epoch 56/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.255]
+Epoch 56/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.256]
+Epoch 56/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.256]
+Epoch 56/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.261]
+Epoch 56/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.256]
+Epoch 56/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.255]
+Epoch 56/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.251]
+Epoch 56/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.26] 
+Epoch 56/1001: 100%|██████████| 9/9 [00:00<00:00, 21.84it/s, Loss=0.26]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 57/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 57/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.251]
+Epoch 57/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.251]
+Epoch 57/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.252]
+Epoch 57/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.254]
+Epoch 57/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.251]
+Epoch 57/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.254]
+Epoch 57/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.255]
+Epoch 57/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.255]
+Epoch 57/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.255]
+Epoch 57/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.256]
+Epoch 57/1001: 100%|██████████| 9/9 [00:00<00:00, 19.96it/s, Loss=0.256]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 58/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 58/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.25]
+Epoch 58/1001:  11%|█         | 1/9 [00:00<00:01,  4.28it/s, Loss=0.25]
+Epoch 58/1001:  11%|█         | 1/9 [00:00<00:01,  4.28it/s, Loss=0.249]
+Epoch 58/1001:  11%|█         | 1/9 [00:00<00:01,  4.28it/s, Loss=0.256]
+Epoch 58/1001:  11%|█         | 1/9 [00:00<00:01,  4.28it/s, Loss=0.255]
+Epoch 58/1001:  11%|█         | 1/9 [00:00<00:01,  4.28it/s, Loss=0.254]
+Epoch 58/1001:  11%|█         | 1/9 [00:00<00:01,  4.28it/s, Loss=0.249]
+Epoch 58/1001:  11%|█         | 1/9 [00:00<00:01,  4.28it/s, Loss=0.253]
+Epoch 58/1001:  11%|█         | 1/9 [00:00<00:01,  4.28it/s, Loss=0.254]
+Epoch 58/1001:  11%|█         | 1/9 [00:00<00:01,  4.28it/s, Loss=0.244]
+Epoch 58/1001: 100%|██████████| 9/9 [00:00<00:00, 24.10it/s, Loss=0.244]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 59/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 59/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.251]
+Epoch 59/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.251]
+Epoch 59/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.251]
+Epoch 59/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.262]
+Epoch 59/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.254]
+Epoch 59/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.253]
+Epoch 59/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.26] 
+Epoch 59/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.246]
+Epoch 59/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.251]
+Epoch 59/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.257]
+Epoch 59/1001: 100%|██████████| 9/9 [00:00<00:00, 22.19it/s, Loss=0.257]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 60/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 60/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.254]
+Epoch 60/1001:  11%|█         | 1/9 [00:00<00:01,  5.00it/s, Loss=0.254]
+Epoch 60/1001:  11%|█         | 1/9 [00:00<00:01,  5.00it/s, Loss=0.255]
+Epoch 60/1001:  11%|█         | 1/9 [00:00<00:01,  5.00it/s, Loss=0.255]
+Epoch 60/1001:  11%|█         | 1/9 [00:00<00:01,  5.00it/s, Loss=0.258]
+Epoch 60/1001:  11%|█         | 1/9 [00:00<00:01,  5.00it/s, Loss=0.249]
+Epoch 60/1001:  11%|█         | 1/9 [00:00<00:01,  5.00it/s, Loss=0.26] 
+Epoch 60/1001:  11%|█         | 1/9 [00:00<00:01,  5.00it/s, Loss=0.253]
+Epoch 60/1001:  11%|█         | 1/9 [00:00<00:01,  5.00it/s, Loss=0.247]
+Epoch 60/1001:  11%|█         | 1/9 [00:00<00:01,  5.00it/s, Loss=0.256]
+Epoch 60/1001: 100%|██████████| 9/9 [00:00<00:00, 26.08it/s, Loss=0.256]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 61/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 61/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.25]
+Epoch 61/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.25]
+Epoch 61/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.253]
+Epoch 61/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.254]
+Epoch 61/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.253]
+Epoch 61/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.252]
+Epoch 61/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.252]
+Epoch 61/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.246]
+Epoch 61/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.255]
+Epoch 61/1001:  89%|████████▉ | 8/9 [00:00<00:00, 29.26it/s, Loss=0.255]
+Epoch 61/1001:  89%|████████▉ | 8/9 [00:00<00:00, 29.26it/s, Loss=0.255]
+Epoch 61/1001: 100%|██████████| 9/9 [00:00<00:00, 23.08it/s, Loss=0.255]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 62/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 62/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.251]
+Epoch 62/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.251]
+Epoch 62/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.257]
+Epoch 62/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.255]
+Epoch 62/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.255]
+Epoch 62/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.256]
+Epoch 62/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.252]
+Epoch 62/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.252]
+Epoch 62/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.258]
+Epoch 62/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.263]
+Epoch 62/1001: 100%|██████████| 9/9 [00:00<00:00, 24.62it/s, Loss=0.263]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 63/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 63/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.248]
+Epoch 63/1001:  11%|█         | 1/9 [00:00<00:01,  5.12it/s, Loss=0.248]
+Epoch 63/1001:  11%|█         | 1/9 [00:00<00:01,  5.12it/s, Loss=0.256]
+Epoch 63/1001:  11%|█         | 1/9 [00:00<00:01,  5.12it/s, Loss=0.251]
+Epoch 63/1001:  11%|█         | 1/9 [00:00<00:01,  5.12it/s, Loss=0.254]
+Epoch 63/1001:  11%|█         | 1/9 [00:00<00:01,  5.12it/s, Loss=0.258]
+Epoch 63/1001:  11%|█         | 1/9 [00:00<00:01,  5.12it/s, Loss=0.25] 
+Epoch 63/1001:  11%|█         | 1/9 [00:00<00:01,  5.12it/s, Loss=0.251]
+Epoch 63/1001:  11%|█         | 1/9 [00:00<00:01,  5.12it/s, Loss=0.252]
+Epoch 63/1001:  11%|█         | 1/9 [00:00<00:01,  5.12it/s, Loss=0.262]
+Epoch 63/1001: 100%|██████████| 9/9 [00:00<00:00, 27.90it/s, Loss=0.262]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 64/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 64/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.253]
+Epoch 64/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.253]
+Epoch 64/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.257]
+Epoch 64/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.26] 
+Epoch 64/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.247]
+Epoch 64/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.254]
+Epoch 64/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.261]
+Epoch 64/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.26] 
+Epoch 64/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.26]
+Epoch 64/1001:  89%|████████▉ | 8/9 [00:00<00:00, 30.74it/s, Loss=0.26]
+Epoch 64/1001:  89%|████████▉ | 8/9 [00:00<00:00, 30.74it/s, Loss=0.257]
+Epoch 64/1001: 100%|██████████| 9/9 [00:00<00:00, 22.84it/s, Loss=0.257]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 65/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 65/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.257]
+Epoch 65/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.257]
+Epoch 65/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.252]
+Epoch 65/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.257]
+Epoch 65/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.253]
+Epoch 65/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.247]
+Epoch 65/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.25] 
+Epoch 65/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.251]
+Epoch 65/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.252]
+Epoch 65/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.261]
+Epoch 65/1001: 100%|██████████| 9/9 [00:00<00:00, 21.97it/s, Loss=0.261]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 66/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 66/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.253]
+Epoch 66/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.253]
+Epoch 66/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.252]
+Epoch 66/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.247]
+Epoch 66/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.256]
+Epoch 66/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.253]
+Epoch 66/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.253]
+Epoch 66/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.247]
+Epoch 66/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.258]
+Epoch 66/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.248]
+Epoch 66/1001: 100%|██████████| 9/9 [00:00<00:00, 23.68it/s, Loss=0.248]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 67/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 67/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.255]
+Epoch 67/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.255]
+Epoch 67/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.253]
+Epoch 67/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.25] 
+Epoch 67/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.252]
+Epoch 67/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.253]
+Epoch 67/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.258]
+Epoch 67/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.25] 
+Epoch 67/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.255]
+Epoch 67/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.254]
+Epoch 67/1001: 100%|██████████| 9/9 [00:00<00:00, 23.19it/s, Loss=0.254]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 68/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 68/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.257]
+Epoch 68/1001:  11%|█         | 1/9 [00:00<00:01,  5.93it/s, Loss=0.257]
+Epoch 68/1001:  11%|█         | 1/9 [00:00<00:01,  5.93it/s, Loss=0.251]
+Epoch 68/1001:  11%|█         | 1/9 [00:00<00:01,  5.93it/s, Loss=0.246]
+Epoch 68/1001:  11%|█         | 1/9 [00:00<00:01,  5.93it/s, Loss=0.26] 
+Epoch 68/1001:  11%|█         | 1/9 [00:00<00:01,  5.93it/s, Loss=0.254]
+Epoch 68/1001:  11%|█         | 1/9 [00:00<00:01,  5.93it/s, Loss=0.256]
+Epoch 68/1001:  11%|█         | 1/9 [00:00<00:01,  5.93it/s, Loss=0.25] 
+Epoch 68/1001:  11%|█         | 1/9 [00:00<00:01,  5.93it/s, Loss=0.246]
+Epoch 68/1001:  89%|████████▉ | 8/9 [00:00<00:00, 34.07it/s, Loss=0.246]
+Epoch 68/1001:  89%|████████▉ | 8/9 [00:00<00:00, 34.07it/s, Loss=0.254]
+Epoch 68/1001: 100%|██████████| 9/9 [00:00<00:00, 25.69it/s, Loss=0.254]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 69/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 69/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.258]
+Epoch 69/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.258]
+Epoch 69/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.252]
+Epoch 69/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.253]
+Epoch 69/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.251]
+Epoch 69/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.246]
+Epoch 69/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.25] 
+Epoch 69/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.245]
+Epoch 69/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.257]
+Epoch 69/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.252]
+Epoch 69/1001: 100%|██████████| 9/9 [00:00<00:00, 30.13it/s, Loss=0.252]
+Epoch 69/1001: 100%|██████████| 9/9 [00:00<00:00, 20.22it/s, Loss=0.252]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 70/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 70/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.254]
+Epoch 70/1001:  11%|█         | 1/9 [00:00<00:01,  4.37it/s, Loss=0.254]
+Epoch 70/1001:  11%|█         | 1/9 [00:00<00:01,  4.37it/s, Loss=0.247]
+Epoch 70/1001:  11%|█         | 1/9 [00:00<00:01,  4.37it/s, Loss=0.253]
+Epoch 70/1001:  11%|█         | 1/9 [00:00<00:01,  4.37it/s, Loss=0.253]
+Epoch 70/1001:  11%|█         | 1/9 [00:00<00:01,  4.37it/s, Loss=0.252]
+Epoch 70/1001:  11%|█         | 1/9 [00:00<00:01,  4.37it/s, Loss=0.253]
+Epoch 70/1001:  11%|█         | 1/9 [00:00<00:01,  4.37it/s, Loss=0.251]
+Epoch 70/1001:  11%|█         | 1/9 [00:00<00:01,  4.37it/s, Loss=0.252]
+Epoch 70/1001:  11%|█         | 1/9 [00:00<00:01,  4.37it/s, Loss=0.249]
+Epoch 70/1001: 100%|██████████| 9/9 [00:00<00:00, 25.60it/s, Loss=0.249]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 71/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 71/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.253]
+Epoch 71/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.253]
+Epoch 71/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.252]
+Epoch 71/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.248]
+Epoch 71/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.247]
+Epoch 71/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.248]
+Epoch 71/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.252]
+Epoch 71/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.257]
+Epoch 71/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.25] 
+Epoch 71/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.247]
+Epoch 71/1001: 100%|██████████| 9/9 [00:00<00:00, 25.27it/s, Loss=0.247]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 72/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 72/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.251]
+Epoch 72/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.251]
+Epoch 72/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.251]
+Epoch 72/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.252]
+Epoch 72/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.253]
+Epoch 72/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.251]
+Epoch 72/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.251]
+Epoch 72/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.25] 
+Epoch 72/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.246]
+Epoch 72/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.249]
+Epoch 72/1001: 100%|██████████| 9/9 [00:00<00:00, 22.32it/s, Loss=0.249]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 73/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 73/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.253]
+Epoch 73/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.253]
+Epoch 73/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.252]
+Epoch 73/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.253]
+Epoch 73/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.247]
+Epoch 73/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.252]
+Epoch 73/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.255]
+Epoch 73/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.252]
+Epoch 73/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.249]
+Epoch 73/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.251]
+Epoch 73/1001: 100%|██████████| 9/9 [00:00<00:00, 22.19it/s, Loss=0.251]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 74/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 74/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.248]
+Epoch 74/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.248]
+Epoch 74/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.25] 
+Epoch 74/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.253]
+Epoch 74/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.248]
+Epoch 74/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.252]
+Epoch 74/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.253]
+Epoch 74/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.251]
+Epoch 74/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.253]
+Epoch 74/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.253]
+Epoch 74/1001: 100%|██████████| 9/9 [00:00<00:00, 20.95it/s, Loss=0.253]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 75/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 75/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.258]
+Epoch 75/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.258]
+Epoch 75/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.251]
+Epoch 75/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.253]
+Epoch 75/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.252]
+Epoch 75/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.254]
+Epoch 75/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.254]
+Epoch 75/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.249]
+Epoch 75/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.252]
+Epoch 75/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.256]
+Epoch 75/1001: 100%|██████████| 9/9 [00:00<00:00, 18.86it/s, Loss=0.256]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 76/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 76/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.248]
+Epoch 76/1001:  11%|█         | 1/9 [00:00<00:02,  3.98it/s, Loss=0.248]
+Epoch 76/1001:  11%|█         | 1/9 [00:00<00:02,  3.98it/s, Loss=0.25] 
+Epoch 76/1001:  11%|█         | 1/9 [00:00<00:02,  3.98it/s, Loss=0.247]
+Epoch 76/1001:  11%|█         | 1/9 [00:00<00:02,  3.98it/s, Loss=0.249]
+Epoch 76/1001:  11%|█         | 1/9 [00:00<00:02,  3.98it/s, Loss=0.248]
+Epoch 76/1001:  11%|█         | 1/9 [00:00<00:02,  3.98it/s, Loss=0.25] 
+Epoch 76/1001:  11%|█         | 1/9 [00:00<00:02,  3.98it/s, Loss=0.253]
+Epoch 76/1001:  11%|█         | 1/9 [00:00<00:02,  3.98it/s, Loss=0.255]
+Epoch 76/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.92it/s, Loss=0.255]
+Epoch 76/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.92it/s, Loss=0.247]
+Epoch 76/1001: 100%|██████████| 9/9 [00:00<00:00, 21.62it/s, Loss=0.247]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 77/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 77/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.253]
+Epoch 77/1001:  11%|█         | 1/9 [00:00<00:01,  4.87it/s, Loss=0.253]
+Epoch 77/1001:  11%|█         | 1/9 [00:00<00:01,  4.87it/s, Loss=0.252]
+Epoch 77/1001:  11%|█         | 1/9 [00:00<00:01,  4.87it/s, Loss=0.247]
+Epoch 77/1001:  11%|█         | 1/9 [00:00<00:01,  4.87it/s, Loss=0.253]
+Epoch 77/1001:  11%|█         | 1/9 [00:00<00:01,  4.87it/s, Loss=0.255]
+Epoch 77/1001:  11%|█         | 1/9 [00:00<00:01,  4.87it/s, Loss=0.25] 
+Epoch 77/1001:  11%|█         | 1/9 [00:00<00:01,  4.87it/s, Loss=0.248]
+Epoch 77/1001:  78%|███████▊  | 7/9 [00:00<00:00, 27.40it/s, Loss=0.248]
+Epoch 77/1001:  78%|███████▊  | 7/9 [00:00<00:00, 27.40it/s, Loss=0.25] 
+Epoch 77/1001:  78%|███████▊  | 7/9 [00:00<00:00, 27.40it/s, Loss=0.256]
+Epoch 77/1001: 100%|██████████| 9/9 [00:00<00:00, 23.01it/s, Loss=0.256]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 78/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 78/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.251]
+Epoch 78/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.251]
+Epoch 78/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.246]
+Epoch 78/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.252]
+Epoch 78/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.254]
+Epoch 78/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.253]
+Epoch 78/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.25] 
+Epoch 78/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.25]
+Epoch 78/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.255]
+Epoch 78/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.25] 
+Epoch 78/1001: 100%|██████████| 9/9 [00:00<00:00, 26.09it/s, Loss=0.25]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 79/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 79/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.251]
+Epoch 79/1001:  11%|█         | 1/9 [00:00<00:01,  5.87it/s, Loss=0.251]
+Epoch 79/1001:  11%|█         | 1/9 [00:00<00:01,  5.87it/s, Loss=0.252]
+Epoch 79/1001:  11%|█         | 1/9 [00:00<00:01,  5.87it/s, Loss=0.249]
+Epoch 79/1001:  11%|█         | 1/9 [00:00<00:01,  5.87it/s, Loss=0.251]
+Epoch 79/1001:  11%|█         | 1/9 [00:00<00:01,  5.87it/s, Loss=0.247]
+Epoch 79/1001:  11%|█         | 1/9 [00:00<00:01,  5.87it/s, Loss=0.254]
+Epoch 79/1001:  11%|█         | 1/9 [00:00<00:01,  5.87it/s, Loss=0.253]
+Epoch 79/1001:  11%|█         | 1/9 [00:00<00:01,  5.87it/s, Loss=0.251]
+Epoch 79/1001:  11%|█         | 1/9 [00:00<00:01,  5.87it/s, Loss=0.253]
+Epoch 79/1001: 100%|██████████| 9/9 [00:00<00:00, 32.19it/s, Loss=0.253]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 80/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 80/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.251]
+Epoch 80/1001:  11%|█         | 1/9 [00:00<00:01,  6.42it/s, Loss=0.251]
+Epoch 80/1001:  11%|█         | 1/9 [00:00<00:01,  6.42it/s, Loss=0.253]
+Epoch 80/1001:  11%|█         | 1/9 [00:00<00:01,  6.42it/s, Loss=0.251]
+Epoch 80/1001:  11%|█         | 1/9 [00:00<00:01,  6.42it/s, Loss=0.249]
+Epoch 80/1001:  11%|█         | 1/9 [00:00<00:01,  6.42it/s, Loss=0.252]
+Epoch 80/1001:  11%|█         | 1/9 [00:00<00:01,  6.42it/s, Loss=0.243]
+Epoch 80/1001:  11%|█         | 1/9 [00:00<00:01,  6.42it/s, Loss=0.253]
+Epoch 80/1001:  11%|█         | 1/9 [00:00<00:01,  6.42it/s, Loss=0.247]
+Epoch 80/1001:  11%|█         | 1/9 [00:00<00:01,  6.42it/s, Loss=0.248]
+Epoch 80/1001: 100%|██████████| 9/9 [00:00<00:00, 31.77it/s, Loss=0.248]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 81/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 81/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.248]
+Epoch 81/1001:  11%|█         | 1/9 [00:00<00:01,  5.33it/s, Loss=0.248]
+Epoch 81/1001:  11%|█         | 1/9 [00:00<00:01,  5.33it/s, Loss=0.25] 
+Epoch 81/1001:  11%|█         | 1/9 [00:00<00:01,  5.33it/s, Loss=0.248]
+Epoch 81/1001:  11%|█         | 1/9 [00:00<00:01,  5.33it/s, Loss=0.247]
+Epoch 81/1001:  11%|█         | 1/9 [00:00<00:01,  5.33it/s, Loss=0.247]
+Epoch 81/1001:  11%|█         | 1/9 [00:00<00:01,  5.33it/s, Loss=0.252]
+Epoch 81/1001:  11%|█         | 1/9 [00:00<00:01,  5.33it/s, Loss=0.252]
+Epoch 81/1001:  78%|███████▊  | 7/9 [00:00<00:00, 27.25it/s, Loss=0.252]
+Epoch 81/1001:  78%|███████▊  | 7/9 [00:00<00:00, 27.25it/s, Loss=0.248]
+Epoch 81/1001:  78%|███████▊  | 7/9 [00:00<00:00, 27.25it/s, Loss=0.251]
+Epoch 81/1001: 100%|██████████| 9/9 [00:00<00:00, 23.26it/s, Loss=0.251]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 82/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 82/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.25]
+Epoch 82/1001:  11%|█         | 1/9 [00:00<00:01,  4.88it/s, Loss=0.25]
+Epoch 82/1001:  11%|█         | 1/9 [00:00<00:01,  4.88it/s, Loss=0.256]
+Epoch 82/1001:  11%|█         | 1/9 [00:00<00:01,  4.88it/s, Loss=0.254]
+Epoch 82/1001:  11%|█         | 1/9 [00:00<00:01,  4.88it/s, Loss=0.25] 
+Epoch 82/1001:  11%|█         | 1/9 [00:00<00:01,  4.88it/s, Loss=0.255]
+Epoch 82/1001:  11%|█         | 1/9 [00:00<00:01,  4.88it/s, Loss=0.247]
+Epoch 82/1001:  11%|█         | 1/9 [00:00<00:01,  4.88it/s, Loss=0.245]
+Epoch 82/1001:  11%|█         | 1/9 [00:00<00:01,  4.88it/s, Loss=0.249]
+Epoch 82/1001:  11%|█         | 1/9 [00:00<00:01,  4.88it/s, Loss=0.248]
+Epoch 82/1001: 100%|██████████| 9/9 [00:00<00:00, 34.19it/s, Loss=0.248]
+Epoch 82/1001: 100%|██████████| 9/9 [00:00<00:00, 24.28it/s, Loss=0.248]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 83/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 83/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.251]
+Epoch 83/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.251]
+Epoch 83/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.251]
+Epoch 83/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.25] 
+Epoch 83/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.251]
+Epoch 83/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.254]
+Epoch 83/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.249]
+Epoch 83/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.252]
+Epoch 83/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.249]
+Epoch 83/1001:  89%|████████▉ | 8/9 [00:00<00:00, 29.40it/s, Loss=0.249]
+Epoch 83/1001:  89%|████████▉ | 8/9 [00:00<00:00, 29.40it/s, Loss=0.255]
+Epoch 83/1001: 100%|██████████| 9/9 [00:00<00:00, 23.77it/s, Loss=0.255]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 84/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 84/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.248]
+Epoch 84/1001:  11%|█         | 1/9 [00:00<00:01,  6.78it/s, Loss=0.248]
+Epoch 84/1001:  11%|█         | 1/9 [00:00<00:01,  6.78it/s, Loss=0.254]
+Epoch 84/1001:  11%|█         | 1/9 [00:00<00:01,  6.78it/s, Loss=0.251]
+Epoch 84/1001:  11%|█         | 1/9 [00:00<00:01,  6.78it/s, Loss=0.251]
+Epoch 84/1001:  11%|█         | 1/9 [00:00<00:01,  6.78it/s, Loss=0.255]
+Epoch 84/1001:  11%|█         | 1/9 [00:00<00:01,  6.78it/s, Loss=0.248]
+Epoch 84/1001:  11%|█         | 1/9 [00:00<00:01,  6.78it/s, Loss=0.25] 
+Epoch 84/1001:  11%|█         | 1/9 [00:00<00:01,  6.78it/s, Loss=0.253]
+Epoch 84/1001:  11%|█         | 1/9 [00:00<00:01,  6.78it/s, Loss=0.26] 
+Epoch 84/1001: 100%|██████████| 9/9 [00:00<00:00, 35.64it/s, Loss=0.26]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 85/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 85/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.247]
+Epoch 85/1001:  11%|█         | 1/9 [00:00<00:01,  6.63it/s, Loss=0.247]
+Epoch 85/1001:  11%|█         | 1/9 [00:00<00:01,  6.63it/s, Loss=0.248]
+Epoch 85/1001:  11%|█         | 1/9 [00:00<00:01,  6.63it/s, Loss=0.248]
+Epoch 85/1001:  11%|█         | 1/9 [00:00<00:01,  6.63it/s, Loss=0.248]
+Epoch 85/1001:  11%|█         | 1/9 [00:00<00:01,  6.63it/s, Loss=0.252]
+Epoch 85/1001:  11%|█         | 1/9 [00:00<00:01,  6.63it/s, Loss=0.255]
+Epoch 85/1001:  11%|█         | 1/9 [00:00<00:01,  6.63it/s, Loss=0.254]
+Epoch 85/1001:  11%|█         | 1/9 [00:00<00:01,  6.63it/s, Loss=0.252]
+Epoch 85/1001:  11%|█         | 1/9 [00:00<00:01,  6.63it/s, Loss=0.25] 
+Epoch 85/1001: 100%|██████████| 9/9 [00:00<00:00, 40.40it/s, Loss=0.25]
+Epoch 85/1001: 100%|██████████| 9/9 [00:00<00:00, 29.92it/s, Loss=0.25]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 86/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 86/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.257]
+Epoch 86/1001:  11%|█         | 1/9 [00:00<00:01,  5.79it/s, Loss=0.257]
+Epoch 86/1001:  11%|█         | 1/9 [00:00<00:01,  5.79it/s, Loss=0.248]
+Epoch 86/1001:  11%|█         | 1/9 [00:00<00:01,  5.79it/s, Loss=0.255]
+Epoch 86/1001:  11%|█         | 1/9 [00:00<00:01,  5.79it/s, Loss=0.249]
+Epoch 86/1001:  11%|█         | 1/9 [00:00<00:01,  5.79it/s, Loss=0.249]
+Epoch 86/1001:  11%|█         | 1/9 [00:00<00:01,  5.79it/s, Loss=0.252]
+Epoch 86/1001:  11%|█         | 1/9 [00:00<00:01,  5.79it/s, Loss=0.25] 
+Epoch 86/1001:  11%|█         | 1/9 [00:00<00:01,  5.79it/s, Loss=0.248]
+Epoch 86/1001:  11%|█         | 1/9 [00:00<00:01,  5.79it/s, Loss=0.254]
+Epoch 86/1001: 100%|██████████| 9/9 [00:00<00:00, 29.70it/s, Loss=0.254]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 87/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 87/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.246]
+Epoch 87/1001:  11%|█         | 1/9 [00:00<00:01,  5.68it/s, Loss=0.246]
+Epoch 87/1001:  11%|█         | 1/9 [00:00<00:01,  5.68it/s, Loss=0.256]
+Epoch 87/1001:  11%|█         | 1/9 [00:00<00:01,  5.68it/s, Loss=0.256]
+Epoch 87/1001:  11%|█         | 1/9 [00:00<00:01,  5.68it/s, Loss=0.247]
+Epoch 87/1001:  11%|█         | 1/9 [00:00<00:01,  5.68it/s, Loss=0.248]
+Epoch 87/1001:  11%|█         | 1/9 [00:00<00:01,  5.68it/s, Loss=0.243]
+Epoch 87/1001:  11%|█         | 1/9 [00:00<00:01,  5.68it/s, Loss=0.248]
+Epoch 87/1001:  11%|█         | 1/9 [00:00<00:01,  5.68it/s, Loss=0.257]
+Epoch 87/1001:  11%|█         | 1/9 [00:00<00:01,  5.68it/s, Loss=0.244]
+Epoch 87/1001: 100%|██████████| 9/9 [00:00<00:00, 28.30it/s, Loss=0.244]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 88/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 88/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.249]
+Epoch 88/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.249]
+Epoch 88/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.252]
+Epoch 88/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.251]
+Epoch 88/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.25] 
+Epoch 88/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.253]
+Epoch 88/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.251]
+Epoch 88/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.253]
+Epoch 88/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.256]
+Epoch 88/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.252]
+Epoch 88/1001: 100%|██████████| 9/9 [00:00<00:00, 25.22it/s, Loss=0.252]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 89/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 89/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.25]
+Epoch 89/1001:  11%|█         | 1/9 [00:00<00:01,  6.02it/s, Loss=0.25]
+Epoch 89/1001:  11%|█         | 1/9 [00:00<00:01,  6.02it/s, Loss=0.253]
+Epoch 89/1001:  11%|█         | 1/9 [00:00<00:01,  6.02it/s, Loss=0.252]
+Epoch 89/1001:  11%|█         | 1/9 [00:00<00:01,  6.02it/s, Loss=0.246]
+Epoch 89/1001:  11%|█         | 1/9 [00:00<00:01,  6.02it/s, Loss=0.24] 
+Epoch 89/1001:  11%|█         | 1/9 [00:00<00:01,  6.02it/s, Loss=0.254]
+Epoch 89/1001:  11%|█         | 1/9 [00:00<00:01,  6.02it/s, Loss=0.252]
+Epoch 89/1001:  11%|█         | 1/9 [00:00<00:01,  6.02it/s, Loss=0.251]
+Epoch 89/1001:  11%|█         | 1/9 [00:00<00:01,  6.02it/s, Loss=0.256]
+Epoch 89/1001: 100%|██████████| 9/9 [00:00<00:00, 31.14it/s, Loss=0.256]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 90/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 90/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.246]
+Epoch 90/1001:  11%|█         | 1/9 [00:00<00:01,  6.71it/s, Loss=0.246]
+Epoch 90/1001:  11%|█         | 1/9 [00:00<00:01,  6.71it/s, Loss=0.258]
+Epoch 90/1001:  11%|█         | 1/9 [00:00<00:01,  6.71it/s, Loss=0.245]
+Epoch 90/1001:  11%|█         | 1/9 [00:00<00:01,  6.71it/s, Loss=0.249]
+Epoch 90/1001:  11%|█         | 1/9 [00:00<00:01,  6.71it/s, Loss=0.251]
+Epoch 90/1001:  11%|█         | 1/9 [00:00<00:01,  6.71it/s, Loss=0.252]
+Epoch 90/1001:  11%|█         | 1/9 [00:00<00:01,  6.71it/s, Loss=0.25] 
+Epoch 90/1001:  11%|█         | 1/9 [00:00<00:01,  6.71it/s, Loss=0.252]
+Epoch 90/1001:  89%|████████▉ | 8/9 [00:00<00:00, 37.43it/s, Loss=0.252]
+Epoch 90/1001:  89%|████████▉ | 8/9 [00:00<00:00, 37.43it/s, Loss=0.245]
+Epoch 90/1001: 100%|██████████| 9/9 [00:00<00:00, 29.57it/s, Loss=0.245]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 91/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 91/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.253]
+Epoch 91/1001:  11%|█         | 1/9 [00:00<00:01,  6.42it/s, Loss=0.253]
+Epoch 91/1001:  11%|█         | 1/9 [00:00<00:01,  6.42it/s, Loss=0.249]
+Epoch 91/1001:  11%|█         | 1/9 [00:00<00:01,  6.42it/s, Loss=0.255]
+Epoch 91/1001:  11%|█         | 1/9 [00:00<00:01,  6.42it/s, Loss=0.251]
+Epoch 91/1001:  11%|█         | 1/9 [00:00<00:01,  6.42it/s, Loss=0.249]
+Epoch 91/1001:  11%|█         | 1/9 [00:00<00:01,  6.42it/s, Loss=0.245]
+Epoch 91/1001:  11%|█         | 1/9 [00:00<00:01,  6.42it/s, Loss=0.249]
+Epoch 91/1001:  11%|█         | 1/9 [00:00<00:01,  6.42it/s, Loss=0.248]
+Epoch 91/1001:  11%|█         | 1/9 [00:00<00:01,  6.42it/s, Loss=0.247]
+Epoch 91/1001: 100%|██████████| 9/9 [00:00<00:00, 32.14it/s, Loss=0.247]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 92/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 92/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.25]
+Epoch 92/1001:  11%|█         | 1/9 [00:00<00:01,  5.60it/s, Loss=0.25]
+Epoch 92/1001:  11%|█         | 1/9 [00:00<00:01,  5.60it/s, Loss=0.245]
+Epoch 92/1001:  11%|█         | 1/9 [00:00<00:01,  5.60it/s, Loss=0.245]
+Epoch 92/1001:  11%|█         | 1/9 [00:00<00:01,  5.60it/s, Loss=0.244]
+Epoch 92/1001:  11%|█         | 1/9 [00:00<00:01,  5.60it/s, Loss=0.249]
+Epoch 92/1001:  11%|█         | 1/9 [00:00<00:01,  5.60it/s, Loss=0.251]
+Epoch 92/1001:  11%|█         | 1/9 [00:00<00:01,  5.60it/s, Loss=0.244]
+Epoch 92/1001:  11%|█         | 1/9 [00:00<00:01,  5.60it/s, Loss=0.251]
+Epoch 92/1001:  11%|█         | 1/9 [00:00<00:01,  5.60it/s, Loss=0.246]
+Epoch 92/1001: 100%|██████████| 9/9 [00:00<00:00, 28.55it/s, Loss=0.246]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 93/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 93/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.251]
+Epoch 93/1001:  11%|█         | 1/9 [00:00<00:02,  3.21it/s, Loss=0.251]
+Epoch 93/1001:  11%|█         | 1/9 [00:00<00:02,  3.21it/s, Loss=0.255]
+Epoch 93/1001:  11%|█         | 1/9 [00:00<00:02,  3.21it/s, Loss=0.254]
+Epoch 93/1001:  11%|█         | 1/9 [00:00<00:02,  3.21it/s, Loss=0.256]
+Epoch 93/1001:  11%|█         | 1/9 [00:00<00:02,  3.21it/s, Loss=0.248]
+Epoch 93/1001:  11%|█         | 1/9 [00:00<00:02,  3.21it/s, Loss=0.255]
+Epoch 93/1001:  11%|█         | 1/9 [00:00<00:02,  3.21it/s, Loss=0.25] 
+Epoch 93/1001:  11%|█         | 1/9 [00:00<00:02,  3.21it/s, Loss=0.25]
+Epoch 93/1001:  11%|█         | 1/9 [00:00<00:02,  3.21it/s, Loss=0.251]
+Epoch 93/1001: 100%|██████████| 9/9 [00:00<00:00, 19.48it/s, Loss=0.251]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 94/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 94/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.248]
+Epoch 94/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.248]
+Epoch 94/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.246]
+Epoch 94/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.251]
+Epoch 94/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.248]
+Epoch 94/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.251]
+Epoch 94/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.249]
+Epoch 94/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.242]
+Epoch 94/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.252]
+Epoch 94/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.246]
+Epoch 94/1001: 100%|██████████| 9/9 [00:00<00:00, 19.82it/s, Loss=0.246]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 95/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 95/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.246]
+Epoch 95/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.246]
+Epoch 95/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.249]
+Epoch 95/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.246]
+Epoch 95/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.257]
+Epoch 95/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.247]
+Epoch 95/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.247]
+Epoch 95/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.247]
+Epoch 95/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.246]
+Epoch 95/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.25] 
+Epoch 95/1001: 100%|██████████| 9/9 [00:00<00:00, 22.24it/s, Loss=0.25]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 96/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 96/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.249]
+Epoch 96/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.249]
+Epoch 96/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.248]
+Epoch 96/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.255]
+Epoch 96/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.252]
+Epoch 96/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.249]
+Epoch 96/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.248]
+Epoch 96/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.253]
+Epoch 96/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.25] 
+Epoch 96/1001:  89%|████████▉ | 8/9 [00:00<00:00, 25.88it/s, Loss=0.25]
+Epoch 96/1001:  89%|████████▉ | 8/9 [00:00<00:00, 25.88it/s, Loss=0.246]
+Epoch 96/1001: 100%|██████████| 9/9 [00:00<00:00, 19.54it/s, Loss=0.246]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 97/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 97/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.246]
+Epoch 97/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.246]
+Epoch 97/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.249]
+Epoch 97/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.247]
+Epoch 97/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.248]
+Epoch 97/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.252]
+Epoch 97/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.25] 
+Epoch 97/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.25]
+Epoch 97/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.246]
+Epoch 97/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.244]
+Epoch 97/1001: 100%|██████████| 9/9 [00:00<00:00, 19.75it/s, Loss=0.244]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 98/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 98/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.244]
+Epoch 98/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.244]
+Epoch 98/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.247]
+Epoch 98/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.25] 
+Epoch 98/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.253]
+Epoch 98/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.254]
+Epoch 98/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.244]
+Epoch 98/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.249]
+Epoch 98/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.248]
+Epoch 98/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.25] 
+Epoch 98/1001: 100%|██████████| 9/9 [00:00<00:00, 20.60it/s, Loss=0.25]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 99/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 99/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.252]
+Epoch 99/1001:  11%|█         | 1/9 [00:00<00:02,  3.04it/s, Loss=0.252]
+Epoch 99/1001:  11%|█         | 1/9 [00:00<00:02,  3.04it/s, Loss=0.248]
+Epoch 99/1001:  11%|█         | 1/9 [00:00<00:02,  3.04it/s, Loss=0.249]
+Epoch 99/1001:  11%|█         | 1/9 [00:00<00:02,  3.04it/s, Loss=0.252]
+Epoch 99/1001:  11%|█         | 1/9 [00:00<00:02,  3.04it/s, Loss=0.248]
+Epoch 99/1001:  11%|█         | 1/9 [00:00<00:02,  3.04it/s, Loss=0.249]
+Epoch 99/1001:  11%|█         | 1/9 [00:00<00:02,  3.04it/s, Loss=0.25] 
+Epoch 99/1001:  11%|█         | 1/9 [00:00<00:02,  3.04it/s, Loss=0.248]
+Epoch 99/1001:  11%|█         | 1/9 [00:00<00:02,  3.04it/s, Loss=0.244]
+Epoch 99/1001: 100%|██████████| 9/9 [00:00<00:00, 18.70it/s, Loss=0.244]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 100/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 100/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.25]
+Epoch 100/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.25]
+Epoch 100/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.256]
+Epoch 100/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.247]
+Epoch 100/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.248]
+Epoch 100/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.243]
+Epoch 100/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.246]
+Epoch 100/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.254]
+Epoch 100/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.246]
+Epoch 100/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.245]
+Epoch 100/1001: 100%|██████████| 9/9 [00:00<00:00, 20.54it/s, Loss=0.245]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 101/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 101/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.249]
+Epoch 101/1001:  11%|█         | 1/9 [00:00<00:03,  2.39it/s, Loss=0.249]
+Epoch 101/1001:  11%|█         | 1/9 [00:00<00:03,  2.39it/s, Loss=0.251]
+Epoch 101/1001:  11%|█         | 1/9 [00:00<00:03,  2.39it/s, Loss=0.251]
+Epoch 101/1001:  11%|█         | 1/9 [00:00<00:03,  2.39it/s, Loss=0.251]
+Epoch 101/1001:  11%|█         | 1/9 [00:00<00:03,  2.39it/s, Loss=0.248]
+Epoch 101/1001:  11%|█         | 1/9 [00:00<00:03,  2.39it/s, Loss=0.252]
+Epoch 101/1001:  11%|█         | 1/9 [00:00<00:03,  2.39it/s, Loss=0.246]
+Epoch 101/1001:  11%|█         | 1/9 [00:00<00:03,  2.39it/s, Loss=0.246]
+Epoch 101/1001:  11%|█         | 1/9 [00:00<00:03,  2.39it/s, Loss=0.253]
+Epoch 101/1001: 100%|██████████| 9/9 [00:00<00:00, 15.80it/s, Loss=0.253]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 102/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 102/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.246]
+Epoch 102/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.246]
+Epoch 102/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.251]
+Epoch 102/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.25] 
+Epoch 102/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.253]
+Epoch 102/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.246]
+Epoch 102/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.248]
+Epoch 102/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.248]
+Epoch 102/1001:  78%|███████▊  | 7/9 [00:00<00:00, 20.25it/s, Loss=0.248]
+Epoch 102/1001:  78%|███████▊  | 7/9 [00:00<00:00, 20.25it/s, Loss=0.252]
+Epoch 102/1001:  78%|███████▊  | 7/9 [00:00<00:00, 20.25it/s, Loss=0.255]
+Epoch 102/1001: 100%|██████████| 9/9 [00:00<00:00, 18.00it/s, Loss=0.255]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 103/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 103/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.252]
+Epoch 103/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.252]
+Epoch 103/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.253]
+Epoch 103/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.251]
+Epoch 103/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.239]
+Epoch 103/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.25] 
+Epoch 103/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.247]
+Epoch 103/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.249]
+Epoch 103/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.251]
+Epoch 103/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.244]
+Epoch 103/1001: 100%|██████████| 9/9 [00:00<00:00, 23.02it/s, Loss=0.244]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 104/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 104/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.247]
+Epoch 104/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.247]
+Epoch 104/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.248]
+Epoch 104/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.248]
+Epoch 104/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.25] 
+Epoch 104/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.244]
+Epoch 104/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.251]
+Epoch 104/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.237]
+Epoch 104/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.247]
+Epoch 104/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.248]
+Epoch 104/1001: 100%|██████████| 9/9 [00:00<00:00, 21.20it/s, Loss=0.248]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 105/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 105/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.251]
+Epoch 105/1001:  11%|█         | 1/9 [00:00<00:02,  3.55it/s, Loss=0.251]
+Epoch 105/1001:  11%|█         | 1/9 [00:00<00:02,  3.55it/s, Loss=0.249]
+Epoch 105/1001:  11%|█         | 1/9 [00:00<00:02,  3.55it/s, Loss=0.246]
+Epoch 105/1001:  11%|█         | 1/9 [00:00<00:02,  3.55it/s, Loss=0.246]
+Epoch 105/1001:  11%|█         | 1/9 [00:00<00:02,  3.55it/s, Loss=0.246]
+Epoch 105/1001:  11%|█         | 1/9 [00:00<00:02,  3.55it/s, Loss=0.246]
+Epoch 105/1001:  11%|█         | 1/9 [00:00<00:02,  3.55it/s, Loss=0.242]
+Epoch 105/1001:  11%|█         | 1/9 [00:00<00:02,  3.55it/s, Loss=0.25] 
+Epoch 105/1001:  11%|█         | 1/9 [00:00<00:02,  3.55it/s, Loss=0.247]
+Epoch 105/1001: 100%|██████████| 9/9 [00:00<00:00, 21.81it/s, Loss=0.247]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 106/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 106/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.242]
+Epoch 106/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.242]
+Epoch 106/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.249]
+Epoch 106/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.253]
+Epoch 106/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.249]
+Epoch 106/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.246]
+Epoch 106/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.248]
+Epoch 106/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.252]
+Epoch 106/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.246]
+Epoch 106/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.249]
+Epoch 106/1001: 100%|██████████| 9/9 [00:00<00:00, 21.93it/s, Loss=0.249]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 107/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 107/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.255]
+Epoch 107/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.255]
+Epoch 107/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.252]
+Epoch 107/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.251]
+Epoch 107/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.248]
+Epoch 107/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.251]
+Epoch 107/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.248]
+Epoch 107/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.247]
+Epoch 107/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.246]
+Epoch 107/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.249]
+Epoch 107/1001: 100%|██████████| 9/9 [00:00<00:00, 22.01it/s, Loss=0.249]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 108/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 108/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.246]
+Epoch 108/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.246]
+Epoch 108/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.25] 
+Epoch 108/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.252]
+Epoch 108/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.251]
+Epoch 108/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.246]
+Epoch 108/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.249]
+Epoch 108/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.248]
+Epoch 108/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.253]
+Epoch 108/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.249]
+Epoch 108/1001: 100%|██████████| 9/9 [00:00<00:00, 27.88it/s, Loss=0.249]
+Epoch 108/1001: 100%|██████████| 9/9 [00:00<00:00, 19.42it/s, Loss=0.249]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 109/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 109/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.247]
+Epoch 109/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.247]
+Epoch 109/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.249]
+Epoch 109/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.248]
+Epoch 109/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.247]
+Epoch 109/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.247]
+Epoch 109/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.249]
+Epoch 109/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.25] 
+Epoch 109/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.241]
+Epoch 109/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.25] 
+Epoch 109/1001: 100%|██████████| 9/9 [00:00<00:00, 28.51it/s, Loss=0.25]
+Epoch 109/1001: 100%|██████████| 9/9 [00:00<00:00, 20.34it/s, Loss=0.25]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 110/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 110/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.248]
+Epoch 110/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.248]
+Epoch 110/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.248]
+Epoch 110/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.246]
+Epoch 110/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.252]
+Epoch 110/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.251]
+Epoch 110/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.243]
+Epoch 110/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.25] 
+Epoch 110/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.245]
+Epoch 110/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.241]
+Epoch 110/1001: 100%|██████████| 9/9 [00:00<00:00, 23.17it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 111/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 111/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.245]
+Epoch 111/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.245]
+Epoch 111/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.243]
+Epoch 111/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.245]
+Epoch 111/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.242]
+Epoch 111/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.246]
+Epoch 111/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.251]
+Epoch 111/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.25] 
+Epoch 111/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.248]
+Epoch 111/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.258]
+Epoch 111/1001: 100%|██████████| 9/9 [00:00<00:00, 24.23it/s, Loss=0.258]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 112/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 112/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.252]
+Epoch 112/1001:  11%|█         | 1/9 [00:00<00:01,  4.75it/s, Loss=0.252]
+Epoch 112/1001:  11%|█         | 1/9 [00:00<00:01,  4.75it/s, Loss=0.254]
+Epoch 112/1001:  11%|█         | 1/9 [00:00<00:01,  4.75it/s, Loss=0.247]
+Epoch 112/1001:  11%|█         | 1/9 [00:00<00:01,  4.75it/s, Loss=0.248]
+Epoch 112/1001:  11%|█         | 1/9 [00:00<00:01,  4.75it/s, Loss=0.247]
+Epoch 112/1001:  11%|█         | 1/9 [00:00<00:01,  4.75it/s, Loss=0.248]
+Epoch 112/1001:  11%|█         | 1/9 [00:00<00:01,  4.75it/s, Loss=0.246]
+Epoch 112/1001:  11%|█         | 1/9 [00:00<00:01,  4.75it/s, Loss=0.241]
+Epoch 112/1001:  11%|█         | 1/9 [00:00<00:01,  4.75it/s, Loss=0.244]
+Epoch 112/1001: 100%|██████████| 9/9 [00:00<00:00, 26.12it/s, Loss=0.244]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 113/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 113/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.25]
+Epoch 113/1001:  11%|█         | 1/9 [00:00<00:01,  5.88it/s, Loss=0.25]
+Epoch 113/1001:  11%|█         | 1/9 [00:00<00:01,  5.88it/s, Loss=0.246]
+Epoch 113/1001:  11%|█         | 1/9 [00:00<00:01,  5.88it/s, Loss=0.247]
+Epoch 113/1001:  11%|█         | 1/9 [00:00<00:01,  5.88it/s, Loss=0.248]
+Epoch 113/1001:  11%|█         | 1/9 [00:00<00:01,  5.88it/s, Loss=0.245]
+Epoch 113/1001:  11%|█         | 1/9 [00:00<00:01,  5.88it/s, Loss=0.246]
+Epoch 113/1001:  11%|█         | 1/9 [00:00<00:01,  5.88it/s, Loss=0.244]
+Epoch 113/1001:  11%|█         | 1/9 [00:00<00:01,  5.88it/s, Loss=0.247]
+Epoch 113/1001:  89%|████████▉ | 8/9 [00:00<00:00, 32.98it/s, Loss=0.247]
+Epoch 113/1001:  89%|████████▉ | 8/9 [00:00<00:00, 32.98it/s, Loss=0.246]
+Epoch 113/1001: 100%|██████████| 9/9 [00:00<00:00, 25.24it/s, Loss=0.246]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 114/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 114/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.248]
+Epoch 114/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.248]
+Epoch 114/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.244]
+Epoch 114/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.246]
+Epoch 114/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.253]
+Epoch 114/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.249]
+Epoch 114/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.245]
+Epoch 114/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.251]
+Epoch 114/1001:  78%|███████▊  | 7/9 [00:00<00:00, 24.37it/s, Loss=0.251]
+Epoch 114/1001:  78%|███████▊  | 7/9 [00:00<00:00, 24.37it/s, Loss=0.247]
+Epoch 114/1001:  78%|███████▊  | 7/9 [00:00<00:00, 24.37it/s, Loss=0.25] 
+Epoch 114/1001: 100%|██████████| 9/9 [00:00<00:00, 20.44it/s, Loss=0.25]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 115/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 115/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.246]
+Epoch 115/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.246]
+Epoch 115/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.25] 
+Epoch 115/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.249]
+Epoch 115/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.25] 
+Epoch 115/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.243]
+Epoch 115/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.242]
+Epoch 115/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.247]
+Epoch 115/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.246]
+Epoch 115/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.248]
+Epoch 115/1001: 100%|██████████| 9/9 [00:00<00:00, 25.54it/s, Loss=0.248]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 116/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 116/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.254]
+Epoch 116/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.254]
+Epoch 116/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.247]
+Epoch 116/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.248]
+Epoch 116/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.251]
+Epoch 116/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.251]
+Epoch 116/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.246]
+Epoch 116/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.245]
+Epoch 116/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.245]
+Epoch 116/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.25] 
+Epoch 116/1001: 100%|██████████| 9/9 [00:00<00:00, 27.91it/s, Loss=0.25]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 117/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 117/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.243]
+Epoch 117/1001:  11%|█         | 1/9 [00:00<00:01,  6.20it/s, Loss=0.243]
+Epoch 117/1001:  11%|█         | 1/9 [00:00<00:01,  6.20it/s, Loss=0.244]
+Epoch 117/1001:  11%|█         | 1/9 [00:00<00:01,  6.20it/s, Loss=0.247]
+Epoch 117/1001:  11%|█         | 1/9 [00:00<00:01,  6.20it/s, Loss=0.249]
+Epoch 117/1001:  11%|█         | 1/9 [00:00<00:01,  6.20it/s, Loss=0.247]
+Epoch 117/1001:  11%|█         | 1/9 [00:00<00:01,  6.20it/s, Loss=0.248]
+Epoch 117/1001:  11%|█         | 1/9 [00:00<00:01,  6.20it/s, Loss=0.245]
+Epoch 117/1001:  11%|█         | 1/9 [00:00<00:01,  6.20it/s, Loss=0.248]
+Epoch 117/1001:  11%|█         | 1/9 [00:00<00:01,  6.20it/s, Loss=0.253]
+Epoch 117/1001: 100%|██████████| 9/9 [00:00<00:00, 29.91it/s, Loss=0.253]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 118/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 118/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.248]
+Epoch 118/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.248]
+Epoch 118/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.248]
+Epoch 118/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.248]
+Epoch 118/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.243]
+Epoch 118/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.248]
+Epoch 118/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.245]
+Epoch 118/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.245]
+Epoch 118/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.244]
+Epoch 118/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.249]
+Epoch 118/1001: 100%|██████████| 9/9 [00:00<00:00, 33.07it/s, Loss=0.249]
+Epoch 118/1001: 100%|██████████| 9/9 [00:00<00:00, 23.54it/s, Loss=0.249]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 119/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 119/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.245]
+Epoch 119/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.245]
+Epoch 119/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.245]
+Epoch 119/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.255]
+Epoch 119/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.249]
+Epoch 119/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.251]
+Epoch 119/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.245]
+Epoch 119/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.246]
+Epoch 119/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.243]
+Epoch 119/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.246]
+Epoch 119/1001: 100%|██████████| 9/9 [00:00<00:00, 20.78it/s, Loss=0.246]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 120/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 120/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.248]
+Epoch 120/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.248]
+Epoch 120/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.251]
+Epoch 120/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.243]
+Epoch 120/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.248]
+Epoch 120/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.247]
+Epoch 120/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.247]
+Epoch 120/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.249]
+Epoch 120/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.249]
+Epoch 120/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.247]
+Epoch 120/1001: 100%|██████████| 9/9 [00:00<00:00, 21.38it/s, Loss=0.247]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 121/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 121/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.252]
+Epoch 121/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.252]
+Epoch 121/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.249]
+Epoch 121/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.246]
+Epoch 121/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.244]
+Epoch 121/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.249]
+Epoch 121/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.249]
+Epoch 121/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.249]
+Epoch 121/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.245]
+Epoch 121/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.252]
+Epoch 121/1001: 100%|██████████| 9/9 [00:00<00:00, 22.15it/s, Loss=0.252]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 122/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 122/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.249]
+Epoch 122/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.249]
+Epoch 122/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.25] 
+Epoch 122/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.246]
+Epoch 122/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.246]
+Epoch 122/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.249]
+Epoch 122/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.246]
+Epoch 122/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.248]
+Epoch 122/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.245]
+Epoch 122/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.245]
+Epoch 122/1001: 100%|██████████| 9/9 [00:00<00:00, 19.96it/s, Loss=0.245]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 123/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 123/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.244]
+Epoch 123/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.244]
+Epoch 123/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.244]
+Epoch 123/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.251]
+Epoch 123/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.246]
+Epoch 123/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.244]
+Epoch 123/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.249]
+Epoch 123/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.247]
+Epoch 123/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.247]
+Epoch 123/1001:  89%|████████▉ | 8/9 [00:00<00:00, 25.81it/s, Loss=0.247]
+Epoch 123/1001:  89%|████████▉ | 8/9 [00:00<00:00, 25.81it/s, Loss=0.245]
+Epoch 123/1001: 100%|██████████| 9/9 [00:00<00:00, 20.18it/s, Loss=0.245]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 124/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 124/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.247]
+Epoch 124/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.247]
+Epoch 124/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.25] 
+Epoch 124/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.244]
+Epoch 124/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.25] 
+Epoch 124/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.252]
+Epoch 124/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.25] 
+Epoch 124/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.245]
+Epoch 124/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.243]
+Epoch 124/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.245]
+Epoch 124/1001: 100%|██████████| 9/9 [00:00<00:00, 24.96it/s, Loss=0.245]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 125/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 125/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.246]
+Epoch 125/1001:  11%|█         | 1/9 [00:00<00:01,  4.93it/s, Loss=0.246]
+Epoch 125/1001:  11%|█         | 1/9 [00:00<00:01,  4.93it/s, Loss=0.249]
+Epoch 125/1001:  11%|█         | 1/9 [00:00<00:01,  4.93it/s, Loss=0.246]
+Epoch 125/1001:  11%|█         | 1/9 [00:00<00:01,  4.93it/s, Loss=0.245]
+Epoch 125/1001:  11%|█         | 1/9 [00:00<00:01,  4.93it/s, Loss=0.245]
+Epoch 125/1001:  11%|█         | 1/9 [00:00<00:01,  4.93it/s, Loss=0.245]
+Epoch 125/1001:  11%|█         | 1/9 [00:00<00:01,  4.93it/s, Loss=0.25] 
+Epoch 125/1001:  11%|█         | 1/9 [00:00<00:01,  4.93it/s, Loss=0.244]
+Epoch 125/1001:  11%|█         | 1/9 [00:00<00:01,  4.93it/s, Loss=0.246]
+Epoch 125/1001: 100%|██████████| 9/9 [00:00<00:00, 25.66it/s, Loss=0.246]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 126/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 126/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.248]
+Epoch 126/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.248]
+Epoch 126/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.243]
+Epoch 126/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.247]
+Epoch 126/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.252]
+Epoch 126/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.248]
+Epoch 126/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.247]
+Epoch 126/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.251]
+Epoch 126/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.243]
+Epoch 126/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.252]
+Epoch 126/1001: 100%|██████████| 9/9 [00:00<00:00, 24.77it/s, Loss=0.252]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 127/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 127/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.251]
+Epoch 127/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.251]
+Epoch 127/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.25] 
+Epoch 127/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.25]
+Epoch 127/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.245]
+Epoch 127/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.253]
+Epoch 127/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.249]
+Epoch 127/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.249]
+Epoch 127/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.246]
+Epoch 127/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.243]
+Epoch 127/1001: 100%|██████████| 9/9 [00:00<00:00, 23.95it/s, Loss=0.243]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 128/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 128/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.249]
+Epoch 128/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.249]
+Epoch 128/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.246]
+Epoch 128/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.244]
+Epoch 128/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.249]
+Epoch 128/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.248]
+Epoch 128/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.246]
+Epoch 128/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.249]
+Epoch 128/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.25] 
+Epoch 128/1001:  89%|████████▉ | 8/9 [00:00<00:00, 30.24it/s, Loss=0.25]
+Epoch 128/1001:  89%|████████▉ | 8/9 [00:00<00:00, 30.24it/s, Loss=0.249]
+Epoch 128/1001: 100%|██████████| 9/9 [00:00<00:00, 22.91it/s, Loss=0.249]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 129/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 129/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.247]
+Epoch 129/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.247]
+Epoch 129/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.246]
+Epoch 129/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.249]
+Epoch 129/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.246]
+Epoch 129/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.247]
+Epoch 129/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.247]
+Epoch 129/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.249]
+Epoch 129/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.251]
+Epoch 129/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.246]
+Epoch 129/1001: 100%|██████████| 9/9 [00:00<00:00, 32.76it/s, Loss=0.246]
+Epoch 129/1001: 100%|██████████| 9/9 [00:00<00:00, 22.33it/s, Loss=0.246]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 130/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 130/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.246]
+Epoch 130/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.246]
+Epoch 130/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.249]
+Epoch 130/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.239]
+Epoch 130/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.246]
+Epoch 130/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.242]
+Epoch 130/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.248]
+Epoch 130/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.25] 
+Epoch 130/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.244]
+Epoch 130/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.247]
+Epoch 130/1001: 100%|██████████| 9/9 [00:00<00:00, 24.17it/s, Loss=0.247]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 131/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 131/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.244]
+Epoch 131/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.244]
+Epoch 131/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.25] 
+Epoch 131/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.256]
+Epoch 131/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.248]
+Epoch 131/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.248]
+Epoch 131/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.242]
+Epoch 131/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.246]
+Epoch 131/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.252]
+Epoch 131/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.243]
+Epoch 131/1001: 100%|██████████| 9/9 [00:00<00:00, 22.75it/s, Loss=0.243]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 132/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 132/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.242]
+Epoch 132/1001:  11%|█         | 1/9 [00:00<00:01,  5.44it/s, Loss=0.242]
+Epoch 132/1001:  11%|█         | 1/9 [00:00<00:01,  5.44it/s, Loss=0.244]
+Epoch 132/1001:  11%|█         | 1/9 [00:00<00:01,  5.44it/s, Loss=0.25] 
+Epoch 132/1001:  11%|█         | 1/9 [00:00<00:01,  5.44it/s, Loss=0.253]
+Epoch 132/1001:  11%|█         | 1/9 [00:00<00:01,  5.44it/s, Loss=0.245]
+Epoch 132/1001:  11%|█         | 1/9 [00:00<00:01,  5.44it/s, Loss=0.248]
+Epoch 132/1001:  11%|█         | 1/9 [00:00<00:01,  5.44it/s, Loss=0.245]
+Epoch 132/1001:  11%|█         | 1/9 [00:00<00:01,  5.44it/s, Loss=0.25] 
+Epoch 132/1001:  11%|█         | 1/9 [00:00<00:01,  5.44it/s, Loss=0.243]
+Epoch 132/1001: 100%|██████████| 9/9 [00:00<00:00, 27.55it/s, Loss=0.243]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 133/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 133/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.251]
+Epoch 133/1001:  11%|█         | 1/9 [00:00<00:01,  4.62it/s, Loss=0.251]
+Epoch 133/1001:  11%|█         | 1/9 [00:00<00:01,  4.62it/s, Loss=0.251]
+Epoch 133/1001:  11%|█         | 1/9 [00:00<00:01,  4.62it/s, Loss=0.248]
+Epoch 133/1001:  11%|█         | 1/9 [00:00<00:01,  4.62it/s, Loss=0.244]
+Epoch 133/1001:  11%|█         | 1/9 [00:00<00:01,  4.62it/s, Loss=0.245]
+Epoch 133/1001:  11%|█         | 1/9 [00:00<00:01,  4.62it/s, Loss=0.244]
+Epoch 133/1001:  11%|█         | 1/9 [00:00<00:01,  4.62it/s, Loss=0.243]
+Epoch 133/1001:  11%|█         | 1/9 [00:00<00:01,  4.62it/s, Loss=0.251]
+Epoch 133/1001:  11%|█         | 1/9 [00:00<00:01,  4.62it/s, Loss=0.247]
+Epoch 133/1001: 100%|██████████| 9/9 [00:00<00:00, 34.12it/s, Loss=0.247]
+Epoch 133/1001: 100%|██████████| 9/9 [00:00<00:00, 22.96it/s, Loss=0.247]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 134/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 134/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.25]
+Epoch 134/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.25]
+Epoch 134/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.242]
+Epoch 134/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.241]
+Epoch 134/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.253]
+Epoch 134/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.245]
+Epoch 134/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.243]
+Epoch 134/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.245]
+Epoch 134/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.245]
+Epoch 134/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.251]
+Epoch 134/1001: 100%|██████████| 9/9 [00:00<00:00, 22.73it/s, Loss=0.251]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 135/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 135/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.247]
+Epoch 135/1001:  11%|█         | 1/9 [00:00<00:01,  5.70it/s, Loss=0.247]
+Epoch 135/1001:  11%|█         | 1/9 [00:00<00:01,  5.70it/s, Loss=0.248]
+Epoch 135/1001:  11%|█         | 1/9 [00:00<00:01,  5.70it/s, Loss=0.25] 
+Epoch 135/1001:  11%|█         | 1/9 [00:00<00:01,  5.70it/s, Loss=0.247]
+Epoch 135/1001:  11%|█         | 1/9 [00:00<00:01,  5.70it/s, Loss=0.248]
+Epoch 135/1001:  11%|█         | 1/9 [00:00<00:01,  5.70it/s, Loss=0.246]
+Epoch 135/1001:  11%|█         | 1/9 [00:00<00:01,  5.70it/s, Loss=0.244]
+Epoch 135/1001:  11%|█         | 1/9 [00:00<00:01,  5.70it/s, Loss=0.243]
+Epoch 135/1001:  11%|█         | 1/9 [00:00<00:01,  5.70it/s, Loss=0.246]
+Epoch 135/1001: 100%|██████████| 9/9 [00:00<00:00, 28.14it/s, Loss=0.246]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 136/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 136/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.249]
+Epoch 136/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.249]
+Epoch 136/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.243]
+Epoch 136/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.242]
+Epoch 136/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.245]
+Epoch 136/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.248]
+Epoch 136/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.243]
+Epoch 136/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.241]
+Epoch 136/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.248]
+Epoch 136/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.242]
+Epoch 136/1001: 100%|██████████| 9/9 [00:00<00:00, 23.12it/s, Loss=0.242]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 137/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 137/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.243]
+Epoch 137/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.243]
+Epoch 137/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.248]
+Epoch 137/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.247]
+Epoch 137/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.244]
+Epoch 137/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.248]
+Epoch 137/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.245]
+Epoch 137/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.25] 
+Epoch 137/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.252]
+Epoch 137/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.247]
+Epoch 137/1001: 100%|██████████| 9/9 [00:00<00:00, 21.44it/s, Loss=0.247]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 138/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 138/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.243]
+Epoch 138/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.243]
+Epoch 138/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.245]
+Epoch 138/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.249]
+Epoch 138/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.242]
+Epoch 138/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.242]
+Epoch 138/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.248]
+Epoch 138/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.248]
+Epoch 138/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.251]
+Epoch 138/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.248]
+Epoch 138/1001: 100%|██████████| 9/9 [00:00<00:00, 22.09it/s, Loss=0.248]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 139/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 139/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.243]
+Epoch 139/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.243]
+Epoch 139/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.242]
+Epoch 139/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.249]
+Epoch 139/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.243]
+Epoch 139/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.248]
+Epoch 139/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.242]
+Epoch 139/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.242]
+Epoch 139/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.241]
+Epoch 139/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.248]
+Epoch 139/1001: 100%|██████████| 9/9 [00:00<00:00, 24.09it/s, Loss=0.248]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 140/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 140/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.25]
+Epoch 140/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.25]
+Epoch 140/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.244]
+Epoch 140/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.246]
+Epoch 140/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.247]
+Epoch 140/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.245]
+Epoch 140/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.249]
+Epoch 140/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.251]
+Epoch 140/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.246]
+Epoch 140/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.245]
+Epoch 140/1001: 100%|██████████| 9/9 [00:00<00:00, 22.97it/s, Loss=0.245]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 141/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 141/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.242]
+Epoch 141/1001:  11%|█         | 1/9 [00:00<00:01,  5.75it/s, Loss=0.242]
+Epoch 141/1001:  11%|█         | 1/9 [00:00<00:01,  5.75it/s, Loss=0.243]
+Epoch 141/1001:  11%|█         | 1/9 [00:00<00:01,  5.75it/s, Loss=0.247]
+Epoch 141/1001:  11%|█         | 1/9 [00:00<00:01,  5.75it/s, Loss=0.249]
+Epoch 141/1001:  11%|█         | 1/9 [00:00<00:01,  5.75it/s, Loss=0.253]
+Epoch 141/1001:  11%|█         | 1/9 [00:00<00:01,  5.75it/s, Loss=0.242]
+Epoch 141/1001:  11%|█         | 1/9 [00:00<00:01,  5.75it/s, Loss=0.239]
+Epoch 141/1001:  11%|█         | 1/9 [00:00<00:01,  5.75it/s, Loss=0.253]
+Epoch 141/1001:  11%|█         | 1/9 [00:00<00:01,  5.75it/s, Loss=0.245]
+Epoch 141/1001: 100%|██████████| 9/9 [00:00<00:00, 27.36it/s, Loss=0.245]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 142/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 142/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 142/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.238]
+Epoch 142/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.246]
+Epoch 142/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.253]
+Epoch 142/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.247]
+Epoch 142/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.252]
+Epoch 142/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.25] 
+Epoch 142/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.249]
+Epoch 142/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.248]
+Epoch 142/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.246]
+Epoch 142/1001: 100%|██████████| 9/9 [00:00<00:00, 24.39it/s, Loss=0.246]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 143/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 143/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.247]
+Epoch 143/1001:  11%|█         | 1/9 [00:00<00:01,  5.96it/s, Loss=0.247]
+Epoch 143/1001:  11%|█         | 1/9 [00:00<00:01,  5.96it/s, Loss=0.245]
+Epoch 143/1001:  11%|█         | 1/9 [00:00<00:01,  5.96it/s, Loss=0.242]
+Epoch 143/1001:  11%|█         | 1/9 [00:00<00:01,  5.96it/s, Loss=0.251]
+Epoch 143/1001:  11%|█         | 1/9 [00:00<00:01,  5.96it/s, Loss=0.242]
+Epoch 143/1001:  11%|█         | 1/9 [00:00<00:01,  5.96it/s, Loss=0.248]
+Epoch 143/1001:  67%|██████▋   | 6/9 [00:00<00:00, 26.00it/s, Loss=0.248]
+Epoch 143/1001:  67%|██████▋   | 6/9 [00:00<00:00, 26.00it/s, Loss=0.246]
+Epoch 143/1001:  67%|██████▋   | 6/9 [00:00<00:00, 26.00it/s, Loss=0.246]
+Epoch 143/1001:  67%|██████▋   | 6/9 [00:00<00:00, 26.00it/s, Loss=0.242]
+Epoch 143/1001: 100%|██████████| 9/9 [00:00<00:00, 23.07it/s, Loss=0.242]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 144/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 144/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.245]
+Epoch 144/1001:  11%|█         | 1/9 [00:00<00:02,  3.31it/s, Loss=0.245]
+Epoch 144/1001:  11%|█         | 1/9 [00:00<00:02,  3.31it/s, Loss=0.241]
+Epoch 144/1001:  11%|█         | 1/9 [00:00<00:02,  3.31it/s, Loss=0.245]
+Epoch 144/1001:  11%|█         | 1/9 [00:00<00:02,  3.31it/s, Loss=0.243]
+Epoch 144/1001:  11%|█         | 1/9 [00:00<00:02,  3.31it/s, Loss=0.253]
+Epoch 144/1001:  11%|█         | 1/9 [00:00<00:02,  3.31it/s, Loss=0.246]
+Epoch 144/1001:  11%|█         | 1/9 [00:00<00:02,  3.31it/s, Loss=0.243]
+Epoch 144/1001:  11%|█         | 1/9 [00:00<00:02,  3.31it/s, Loss=0.243]
+Epoch 144/1001:  11%|█         | 1/9 [00:00<00:02,  3.31it/s, Loss=0.241]
+Epoch 144/1001: 100%|██████████| 9/9 [00:00<00:00, 21.26it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 145/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 145/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.243]
+Epoch 145/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.243]
+Epoch 145/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.245]
+Epoch 145/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.248]
+Epoch 145/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.248]
+Epoch 145/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.247]
+Epoch 145/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.247]
+Epoch 145/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.244]
+Epoch 145/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.246]
+Epoch 145/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.252]
+Epoch 145/1001: 100%|██████████| 9/9 [00:00<00:00, 26.05it/s, Loss=0.252]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 146/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 146/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.247]
+Epoch 146/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.247]
+Epoch 146/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.244]
+Epoch 146/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.249]
+Epoch 146/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.247]
+Epoch 146/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.245]
+Epoch 146/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.243]
+Epoch 146/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.248]
+Epoch 146/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.249]
+Epoch 146/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.239]
+Epoch 146/1001: 100%|██████████| 9/9 [00:00<00:00, 20.30it/s, Loss=0.239]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 147/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 147/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.248]
+Epoch 147/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.248]
+Epoch 147/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.248]
+Epoch 147/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.246]
+Epoch 147/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.243]
+Epoch 147/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.242]
+Epoch 147/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.24] 
+Epoch 147/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.247]
+Epoch 147/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.239]
+Epoch 147/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.257]
+Epoch 147/1001: 100%|██████████| 9/9 [00:00<00:00, 23.43it/s, Loss=0.257]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 148/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 148/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.248]
+Epoch 148/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.248]
+Epoch 148/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.245]
+Epoch 148/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.247]
+Epoch 148/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.258]
+Epoch 148/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.249]
+Epoch 148/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.25] 
+Epoch 148/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.246]
+Epoch 148/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.247]
+Epoch 148/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.254]
+Epoch 148/1001: 100%|██████████| 9/9 [00:00<00:00, 23.13it/s, Loss=0.254]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 149/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 149/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.244]
+Epoch 149/1001:  11%|█         | 1/9 [00:00<00:01,  5.18it/s, Loss=0.244]
+Epoch 149/1001:  11%|█         | 1/9 [00:00<00:01,  5.18it/s, Loss=0.251]
+Epoch 149/1001:  11%|█         | 1/9 [00:00<00:01,  5.18it/s, Loss=0.251]
+Epoch 149/1001:  11%|█         | 1/9 [00:00<00:01,  5.18it/s, Loss=0.242]
+Epoch 149/1001:  11%|█         | 1/9 [00:00<00:01,  5.18it/s, Loss=0.249]
+Epoch 149/1001:  11%|█         | 1/9 [00:00<00:01,  5.18it/s, Loss=0.238]
+Epoch 149/1001:  11%|█         | 1/9 [00:00<00:01,  5.18it/s, Loss=0.243]
+Epoch 149/1001:  11%|█         | 1/9 [00:00<00:01,  5.18it/s, Loss=0.246]
+Epoch 149/1001:  11%|█         | 1/9 [00:00<00:01,  5.18it/s, Loss=0.247]
+Epoch 149/1001: 100%|██████████| 9/9 [00:00<00:00, 27.28it/s, Loss=0.247]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 150/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 150/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.246]
+Epoch 150/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.246]
+Epoch 150/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.244]
+Epoch 150/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.245]
+Epoch 150/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.248]
+Epoch 150/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.249]
+Epoch 150/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.244]
+Epoch 150/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.25] 
+Epoch 150/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.251]
+Epoch 150/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.241]
+Epoch 150/1001: 100%|██████████| 9/9 [00:00<00:00, 24.95it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 151/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 151/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.252]
+Epoch 151/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.252]
+Epoch 151/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.244]
+Epoch 151/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.248]
+Epoch 151/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.248]
+Epoch 151/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.241]
+Epoch 151/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.247]
+Epoch 151/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.246]
+Epoch 151/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.248]
+Epoch 151/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.249]
+Epoch 151/1001: 100%|██████████| 9/9 [00:00<00:00, 23.89it/s, Loss=0.249]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 152/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 152/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.24]
+Epoch 152/1001:  11%|█         | 1/9 [00:00<00:01,  5.29it/s, Loss=0.24]
+Epoch 152/1001:  11%|█         | 1/9 [00:00<00:01,  5.29it/s, Loss=0.245]
+Epoch 152/1001:  11%|█         | 1/9 [00:00<00:01,  5.29it/s, Loss=0.244]
+Epoch 152/1001:  11%|█         | 1/9 [00:00<00:01,  5.29it/s, Loss=0.244]
+Epoch 152/1001:  11%|█         | 1/9 [00:00<00:01,  5.29it/s, Loss=0.248]
+Epoch 152/1001:  11%|█         | 1/9 [00:00<00:01,  5.29it/s, Loss=0.249]
+Epoch 152/1001:  11%|█         | 1/9 [00:00<00:01,  5.29it/s, Loss=0.242]
+Epoch 152/1001:  78%|███████▊  | 7/9 [00:00<00:00, 28.75it/s, Loss=0.242]
+Epoch 152/1001:  78%|███████▊  | 7/9 [00:00<00:00, 28.75it/s, Loss=0.246]
+Epoch 152/1001:  78%|███████▊  | 7/9 [00:00<00:00, 28.75it/s, Loss=0.246]
+Epoch 152/1001: 100%|██████████| 9/9 [00:00<00:00, 23.95it/s, Loss=0.246]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 153/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 153/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.242]
+Epoch 153/1001:  11%|█         | 1/9 [00:00<00:01,  4.99it/s, Loss=0.242]
+Epoch 153/1001:  11%|█         | 1/9 [00:00<00:01,  4.99it/s, Loss=0.244]
+Epoch 153/1001:  11%|█         | 1/9 [00:00<00:01,  4.99it/s, Loss=0.253]
+Epoch 153/1001:  11%|█         | 1/9 [00:00<00:01,  4.99it/s, Loss=0.243]
+Epoch 153/1001:  11%|█         | 1/9 [00:00<00:01,  4.99it/s, Loss=0.245]
+Epoch 153/1001:  11%|█         | 1/9 [00:00<00:01,  4.99it/s, Loss=0.245]
+Epoch 153/1001:  11%|█         | 1/9 [00:00<00:01,  4.99it/s, Loss=0.245]
+Epoch 153/1001:  11%|█         | 1/9 [00:00<00:01,  4.99it/s, Loss=0.244]
+Epoch 153/1001:  11%|█         | 1/9 [00:00<00:01,  4.99it/s, Loss=0.252]
+Epoch 153/1001: 100%|██████████| 9/9 [00:00<00:00, 28.01it/s, Loss=0.252]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 154/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 154/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.245]
+Epoch 154/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.245]
+Epoch 154/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.246]
+Epoch 154/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.244]
+Epoch 154/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.245]
+Epoch 154/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.246]
+Epoch 154/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.249]
+Epoch 154/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.245]
+Epoch 154/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.248]
+Epoch 154/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.244]
+Epoch 154/1001: 100%|██████████| 9/9 [00:00<00:00, 19.34it/s, Loss=0.244]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 155/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 155/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.247]
+Epoch 155/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.247]
+Epoch 155/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.252]
+Epoch 155/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.246]
+Epoch 155/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.243]
+Epoch 155/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.245]
+Epoch 155/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.249]
+Epoch 155/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.241]
+Epoch 155/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.249]
+Epoch 155/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.248]
+Epoch 155/1001: 100%|██████████| 9/9 [00:00<00:00, 21.76it/s, Loss=0.248]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 156/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 156/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.244]
+Epoch 156/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.244]
+Epoch 156/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.246]
+Epoch 156/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.248]
+Epoch 156/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.247]
+Epoch 156/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.244]
+Epoch 156/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.246]
+Epoch 156/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.247]
+Epoch 156/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.246]
+Epoch 156/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.239]
+Epoch 156/1001: 100%|██████████| 9/9 [00:00<00:00, 24.31it/s, Loss=0.239]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 157/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 157/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.242]
+Epoch 157/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.242]
+Epoch 157/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.237]
+Epoch 157/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.248]
+Epoch 157/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.247]
+Epoch 157/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.241]
+Epoch 157/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.243]
+Epoch 157/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.248]
+Epoch 157/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.246]
+Epoch 157/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.248]
+Epoch 157/1001: 100%|██████████| 9/9 [00:00<00:00, 22.41it/s, Loss=0.248]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 158/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 158/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.246]
+Epoch 158/1001:  11%|█         | 1/9 [00:00<00:01,  5.66it/s, Loss=0.246]
+Epoch 158/1001:  11%|█         | 1/9 [00:00<00:01,  5.66it/s, Loss=0.24] 
+Epoch 158/1001:  11%|█         | 1/9 [00:00<00:01,  5.66it/s, Loss=0.241]
+Epoch 158/1001:  11%|█         | 1/9 [00:00<00:01,  5.66it/s, Loss=0.249]
+Epoch 158/1001:  11%|█         | 1/9 [00:00<00:01,  5.66it/s, Loss=0.25] 
+Epoch 158/1001:  11%|█         | 1/9 [00:00<00:01,  5.66it/s, Loss=0.244]
+Epoch 158/1001:  11%|█         | 1/9 [00:00<00:01,  5.66it/s, Loss=0.245]
+Epoch 158/1001:  11%|█         | 1/9 [00:00<00:01,  5.66it/s, Loss=0.241]
+Epoch 158/1001:  11%|█         | 1/9 [00:00<00:01,  5.66it/s, Loss=0.25] 
+Epoch 158/1001: 100%|██████████| 9/9 [00:00<00:00, 30.25it/s, Loss=0.25]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 159/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 159/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.247]
+Epoch 159/1001:  11%|█         | 1/9 [00:00<00:01,  5.50it/s, Loss=0.247]
+Epoch 159/1001:  11%|█         | 1/9 [00:00<00:01,  5.50it/s, Loss=0.242]
+Epoch 159/1001:  11%|█         | 1/9 [00:00<00:01,  5.50it/s, Loss=0.243]
+Epoch 159/1001:  11%|█         | 1/9 [00:00<00:01,  5.50it/s, Loss=0.248]
+Epoch 159/1001:  11%|█         | 1/9 [00:00<00:01,  5.50it/s, Loss=0.245]
+Epoch 159/1001:  11%|█         | 1/9 [00:00<00:01,  5.50it/s, Loss=0.247]
+Epoch 159/1001:  11%|█         | 1/9 [00:00<00:01,  5.50it/s, Loss=0.248]
+Epoch 159/1001:  11%|█         | 1/9 [00:00<00:01,  5.50it/s, Loss=0.247]
+Epoch 159/1001:  11%|█         | 1/9 [00:00<00:01,  5.50it/s, Loss=0.244]
+Epoch 159/1001: 100%|██████████| 9/9 [00:00<00:00, 29.77it/s, Loss=0.244]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 160/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 160/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.246]
+Epoch 160/1001:  11%|█         | 1/9 [00:00<00:01,  6.05it/s, Loss=0.246]
+Epoch 160/1001:  11%|█         | 1/9 [00:00<00:01,  6.05it/s, Loss=0.248]
+Epoch 160/1001:  11%|█         | 1/9 [00:00<00:01,  6.05it/s, Loss=0.249]
+Epoch 160/1001:  11%|█         | 1/9 [00:00<00:01,  6.05it/s, Loss=0.249]
+Epoch 160/1001:  11%|█         | 1/9 [00:00<00:01,  6.05it/s, Loss=0.242]
+Epoch 160/1001:  11%|█         | 1/9 [00:00<00:01,  6.05it/s, Loss=0.239]
+Epoch 160/1001:  11%|█         | 1/9 [00:00<00:01,  6.05it/s, Loss=0.243]
+Epoch 160/1001:  11%|█         | 1/9 [00:00<00:01,  6.05it/s, Loss=0.242]
+Epoch 160/1001:  11%|█         | 1/9 [00:00<00:01,  6.05it/s, Loss=0.246]
+Epoch 160/1001: 100%|██████████| 9/9 [00:00<00:00, 26.67it/s, Loss=0.246]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 161/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 161/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.245]
+Epoch 161/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.245]
+Epoch 161/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.249]
+Epoch 161/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.248]
+Epoch 161/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.246]
+Epoch 161/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.25] 
+Epoch 161/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.238]
+Epoch 161/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.246]
+Epoch 161/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.243]
+Epoch 161/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.245]
+Epoch 161/1001: 100%|██████████| 9/9 [00:00<00:00, 25.58it/s, Loss=0.245]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 162/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 162/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.243]
+Epoch 162/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.243]
+Epoch 162/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.249]
+Epoch 162/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.244]
+Epoch 162/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.25] 
+Epoch 162/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.241]
+Epoch 162/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.246]
+Epoch 162/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.246]
+Epoch 162/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.242]
+Epoch 162/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.246]
+Epoch 162/1001: 100%|██████████| 9/9 [00:00<00:00, 20.72it/s, Loss=0.246]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 163/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 163/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.254]
+Epoch 163/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.254]
+Epoch 163/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.247]
+Epoch 163/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.24] 
+Epoch 163/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.232]
+Epoch 163/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.238]
+Epoch 163/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.241]
+Epoch 163/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.242]
+Epoch 163/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.241]
+Epoch 163/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.245]
+Epoch 163/1001: 100%|██████████| 9/9 [00:00<00:00, 23.29it/s, Loss=0.245]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 164/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 164/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.245]
+Epoch 164/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.245]
+Epoch 164/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.242]
+Epoch 164/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.244]
+Epoch 164/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.235]
+Epoch 164/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.243]
+Epoch 164/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.243]
+Epoch 164/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.239]
+Epoch 164/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.241]
+Epoch 164/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.241]
+Epoch 164/1001: 100%|██████████| 9/9 [00:00<00:00, 22.09it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 165/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 165/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.243]
+Epoch 165/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.243]
+Epoch 165/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.242]
+Epoch 165/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.244]
+Epoch 165/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.241]
+Epoch 165/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.242]
+Epoch 165/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.243]
+Epoch 165/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.239]
+Epoch 165/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.244]
+Epoch 165/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.248]
+Epoch 165/1001: 100%|██████████| 9/9 [00:00<00:00, 22.61it/s, Loss=0.248]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 166/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 166/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.24]
+Epoch 166/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.24]
+Epoch 166/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.249]
+Epoch 166/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.245]
+Epoch 166/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.245]
+Epoch 166/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.245]
+Epoch 166/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.24] 
+Epoch 166/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.24]
+Epoch 166/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.248]
+Epoch 166/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.24] 
+Epoch 166/1001: 100%|██████████| 9/9 [00:00<00:00, 28.54it/s, Loss=0.24]
+Epoch 166/1001: 100%|██████████| 9/9 [00:00<00:00, 20.43it/s, Loss=0.24]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 167/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 167/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.24]
+Epoch 167/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.24]
+Epoch 167/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.244]
+Epoch 167/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.25] 
+Epoch 167/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.25]
+Epoch 167/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.251]
+Epoch 167/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.243]
+Epoch 167/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.245]
+Epoch 167/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.245]
+Epoch 167/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.24] 
+Epoch 167/1001: 100%|██████████| 9/9 [00:00<00:00, 32.72it/s, Loss=0.24]
+Epoch 167/1001: 100%|██████████| 9/9 [00:00<00:00, 24.07it/s, Loss=0.24]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 168/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 168/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.243]
+Epoch 168/1001:  11%|█         | 1/9 [00:00<00:01,  6.30it/s, Loss=0.243]
+Epoch 168/1001:  11%|█         | 1/9 [00:00<00:01,  6.30it/s, Loss=0.239]
+Epoch 168/1001:  11%|█         | 1/9 [00:00<00:01,  6.30it/s, Loss=0.242]
+Epoch 168/1001:  11%|█         | 1/9 [00:00<00:01,  6.30it/s, Loss=0.245]
+Epoch 168/1001:  11%|█         | 1/9 [00:00<00:01,  6.30it/s, Loss=0.242]
+Epoch 168/1001:  11%|█         | 1/9 [00:00<00:01,  6.30it/s, Loss=0.241]
+Epoch 168/1001:  11%|█         | 1/9 [00:00<00:01,  6.30it/s, Loss=0.249]
+Epoch 168/1001:  11%|█         | 1/9 [00:00<00:01,  6.30it/s, Loss=0.25] 
+Epoch 168/1001:  11%|█         | 1/9 [00:00<00:01,  6.30it/s, Loss=0.241]
+Epoch 168/1001: 100%|██████████| 9/9 [00:00<00:00, 31.12it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 169/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 169/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.242]
+Epoch 169/1001:  11%|█         | 1/9 [00:00<00:01,  6.13it/s, Loss=0.242]
+Epoch 169/1001:  11%|█         | 1/9 [00:00<00:01,  6.13it/s, Loss=0.237]
+Epoch 169/1001:  11%|█         | 1/9 [00:00<00:01,  6.13it/s, Loss=0.242]
+Epoch 169/1001:  11%|█         | 1/9 [00:00<00:01,  6.13it/s, Loss=0.243]
+Epoch 169/1001:  11%|█         | 1/9 [00:00<00:01,  6.13it/s, Loss=0.247]
+Epoch 169/1001:  11%|█         | 1/9 [00:00<00:01,  6.13it/s, Loss=0.238]
+Epoch 169/1001:  11%|█         | 1/9 [00:00<00:01,  6.13it/s, Loss=0.245]
+Epoch 169/1001:  11%|█         | 1/9 [00:00<00:01,  6.13it/s, Loss=0.242]
+Epoch 169/1001:  11%|█         | 1/9 [00:00<00:01,  6.13it/s, Loss=0.242]
+Epoch 169/1001: 100%|██████████| 9/9 [00:00<00:00, 29.41it/s, Loss=0.242]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 170/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 170/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.244]
+Epoch 170/1001:  11%|█         | 1/9 [00:00<00:01,  4.31it/s, Loss=0.244]
+Epoch 170/1001:  11%|█         | 1/9 [00:00<00:01,  4.31it/s, Loss=0.249]
+Epoch 170/1001:  11%|█         | 1/9 [00:00<00:01,  4.31it/s, Loss=0.241]
+Epoch 170/1001:  11%|█         | 1/9 [00:00<00:01,  4.31it/s, Loss=0.244]
+Epoch 170/1001:  11%|█         | 1/9 [00:00<00:01,  4.31it/s, Loss=0.243]
+Epoch 170/1001:  11%|█         | 1/9 [00:00<00:01,  4.31it/s, Loss=0.235]
+Epoch 170/1001:  11%|█         | 1/9 [00:00<00:01,  4.31it/s, Loss=0.243]
+Epoch 170/1001:  11%|█         | 1/9 [00:00<00:01,  4.31it/s, Loss=0.239]
+Epoch 170/1001:  11%|█         | 1/9 [00:00<00:01,  4.31it/s, Loss=0.245]
+Epoch 170/1001: 100%|██████████| 9/9 [00:00<00:00, 23.11it/s, Loss=0.245]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 171/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 171/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.239]
+Epoch 171/1001:  11%|█         | 1/9 [00:00<00:02,  3.94it/s, Loss=0.239]
+Epoch 171/1001:  11%|█         | 1/9 [00:00<00:02,  3.94it/s, Loss=0.248]
+Epoch 171/1001:  11%|█         | 1/9 [00:00<00:02,  3.94it/s, Loss=0.25] 
+Epoch 171/1001:  11%|█         | 1/9 [00:00<00:02,  3.94it/s, Loss=0.243]
+Epoch 171/1001:  11%|█         | 1/9 [00:00<00:02,  3.94it/s, Loss=0.244]
+Epoch 171/1001:  11%|█         | 1/9 [00:00<00:02,  3.94it/s, Loss=0.24] 
+Epoch 171/1001:  11%|█         | 1/9 [00:00<00:02,  3.94it/s, Loss=0.25]
+Epoch 171/1001:  11%|█         | 1/9 [00:00<00:02,  3.94it/s, Loss=0.241]
+Epoch 171/1001:  11%|█         | 1/9 [00:00<00:02,  3.94it/s, Loss=0.249]
+Epoch 171/1001: 100%|██████████| 9/9 [00:00<00:00, 22.13it/s, Loss=0.249]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 172/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 172/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.243]
+Epoch 172/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.243]
+Epoch 172/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.24] 
+Epoch 172/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.243]
+Epoch 172/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.247]
+Epoch 172/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.246]
+Epoch 172/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.244]
+Epoch 172/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.246]
+Epoch 172/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.244]
+Epoch 172/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.24] 
+Epoch 172/1001: 100%|██████████| 9/9 [00:00<00:00, 20.90it/s, Loss=0.24]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 173/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 173/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.247]
+Epoch 173/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.247]
+Epoch 173/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.247]
+Epoch 173/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.237]
+Epoch 173/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.242]
+Epoch 173/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.236]
+Epoch 173/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.239]
+Epoch 173/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.243]
+Epoch 173/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.243]
+Epoch 173/1001:  89%|████████▉ | 8/9 [00:00<00:00, 27.22it/s, Loss=0.243]
+Epoch 173/1001:  89%|████████▉ | 8/9 [00:00<00:00, 27.22it/s, Loss=0.242]
+Epoch 173/1001: 100%|██████████| 9/9 [00:00<00:00, 20.20it/s, Loss=0.242]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 174/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 174/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.25]
+Epoch 174/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.25]
+Epoch 174/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.243]
+Epoch 174/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.244]
+Epoch 174/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.242]
+Epoch 174/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.245]
+Epoch 174/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.241]
+Epoch 174/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.246]
+Epoch 174/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.243]
+Epoch 174/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.238]
+Epoch 174/1001: 100%|██████████| 9/9 [00:00<00:00, 22.04it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 175/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 175/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.239]
+Epoch 175/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.239]
+Epoch 175/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.246]
+Epoch 175/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.242]
+Epoch 175/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.246]
+Epoch 175/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.242]
+Epoch 175/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.247]
+Epoch 175/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.237]
+Epoch 175/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.247]
+Epoch 175/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.245]
+Epoch 175/1001: 100%|██████████| 9/9 [00:00<00:00, 27.30it/s, Loss=0.245]
+Epoch 175/1001: 100%|██████████| 9/9 [00:00<00:00, 18.46it/s, Loss=0.245]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 176/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 176/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 176/1001:  11%|█         | 1/9 [00:00<00:02,  2.96it/s, Loss=0.236]
+Epoch 176/1001:  11%|█         | 1/9 [00:00<00:02,  2.96it/s, Loss=0.245]
+Epoch 176/1001:  11%|█         | 1/9 [00:00<00:02,  2.96it/s, Loss=0.243]
+Epoch 176/1001:  11%|█         | 1/9 [00:00<00:02,  2.96it/s, Loss=0.253]
+Epoch 176/1001:  11%|█         | 1/9 [00:00<00:02,  2.96it/s, Loss=0.247]
+Epoch 176/1001:  11%|█         | 1/9 [00:00<00:02,  2.96it/s, Loss=0.244]
+Epoch 176/1001:  11%|█         | 1/9 [00:00<00:02,  2.96it/s, Loss=0.24] 
+Epoch 176/1001:  11%|█         | 1/9 [00:00<00:02,  2.96it/s, Loss=0.245]
+Epoch 176/1001:  11%|█         | 1/9 [00:00<00:02,  2.96it/s, Loss=0.241]
+Epoch 176/1001: 100%|██████████| 9/9 [00:00<00:00, 25.16it/s, Loss=0.241]
+Epoch 176/1001: 100%|██████████| 9/9 [00:00<00:00, 17.62it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 177/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 177/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.248]
+Epoch 177/1001:  11%|█         | 1/9 [00:00<00:02,  3.70it/s, Loss=0.248]
+Epoch 177/1001:  11%|█         | 1/9 [00:00<00:02,  3.70it/s, Loss=0.24] 
+Epoch 177/1001:  11%|█         | 1/9 [00:00<00:02,  3.70it/s, Loss=0.246]
+Epoch 177/1001:  11%|█         | 1/9 [00:00<00:02,  3.70it/s, Loss=0.24] 
+Epoch 177/1001:  11%|█         | 1/9 [00:00<00:02,  3.70it/s, Loss=0.247]
+Epoch 177/1001:  11%|█         | 1/9 [00:00<00:02,  3.70it/s, Loss=0.245]
+Epoch 177/1001:  11%|█         | 1/9 [00:00<00:02,  3.70it/s, Loss=0.247]
+Epoch 177/1001:  11%|█         | 1/9 [00:00<00:02,  3.70it/s, Loss=0.243]
+Epoch 177/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.42it/s, Loss=0.243]
+Epoch 177/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.42it/s, Loss=0.245]
+Epoch 177/1001: 100%|██████████| 9/9 [00:00<00:00, 19.94it/s, Loss=0.245]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 178/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 178/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.245]
+Epoch 178/1001:  11%|█         | 1/9 [00:00<00:02,  3.05it/s, Loss=0.245]
+Epoch 178/1001:  11%|█         | 1/9 [00:00<00:02,  3.05it/s, Loss=0.248]
+Epoch 178/1001:  11%|█         | 1/9 [00:00<00:02,  3.05it/s, Loss=0.239]
+Epoch 178/1001:  11%|█         | 1/9 [00:00<00:02,  3.05it/s, Loss=0.241]
+Epoch 178/1001:  11%|█         | 1/9 [00:00<00:02,  3.05it/s, Loss=0.245]
+Epoch 178/1001:  11%|█         | 1/9 [00:00<00:02,  3.05it/s, Loss=0.238]
+Epoch 178/1001:  11%|█         | 1/9 [00:00<00:02,  3.05it/s, Loss=0.243]
+Epoch 178/1001:  11%|█         | 1/9 [00:00<00:02,  3.05it/s, Loss=0.244]
+Epoch 178/1001:  11%|█         | 1/9 [00:00<00:02,  3.05it/s, Loss=0.243]
+Epoch 178/1001: 100%|██████████| 9/9 [00:00<00:00, 18.09it/s, Loss=0.243]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 179/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 179/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.243]
+Epoch 179/1001:  11%|█         | 1/9 [00:00<00:03,  2.11it/s, Loss=0.243]
+Epoch 179/1001:  11%|█         | 1/9 [00:00<00:03,  2.11it/s, Loss=0.247]
+Epoch 179/1001:  11%|█         | 1/9 [00:00<00:03,  2.11it/s, Loss=0.242]
+Epoch 179/1001:  11%|█         | 1/9 [00:00<00:03,  2.11it/s, Loss=0.244]
+Epoch 179/1001:  11%|█         | 1/9 [00:00<00:03,  2.11it/s, Loss=0.251]
+Epoch 179/1001:  11%|█         | 1/9 [00:00<00:03,  2.11it/s, Loss=0.243]
+Epoch 179/1001:  11%|█         | 1/9 [00:00<00:03,  2.11it/s, Loss=0.245]
+Epoch 179/1001:  11%|█         | 1/9 [00:00<00:03,  2.11it/s, Loss=0.24] 
+Epoch 179/1001:  11%|█         | 1/9 [00:00<00:03,  2.11it/s, Loss=0.248]
+Epoch 179/1001: 100%|██████████| 9/9 [00:00<00:00, 14.61it/s, Loss=0.248]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 180/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 180/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 180/1001:  11%|█         | 1/9 [00:00<00:02,  2.85it/s, Loss=0.238]
+Epoch 180/1001:  11%|█         | 1/9 [00:00<00:02,  2.85it/s, Loss=0.244]
+Epoch 180/1001:  11%|█         | 1/9 [00:00<00:02,  2.85it/s, Loss=0.244]
+Epoch 180/1001:  11%|█         | 1/9 [00:00<00:02,  2.85it/s, Loss=0.244]
+Epoch 180/1001:  11%|█         | 1/9 [00:00<00:02,  2.85it/s, Loss=0.241]
+Epoch 180/1001:  11%|█         | 1/9 [00:00<00:02,  2.85it/s, Loss=0.248]
+Epoch 180/1001:  11%|█         | 1/9 [00:00<00:02,  2.85it/s, Loss=0.248]
+Epoch 180/1001:  11%|█         | 1/9 [00:00<00:02,  2.85it/s, Loss=0.245]
+Epoch 180/1001:  11%|█         | 1/9 [00:00<00:02,  2.85it/s, Loss=0.236]
+Epoch 180/1001: 100%|██████████| 9/9 [00:00<00:00, 17.82it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 181/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 181/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 181/1001:  11%|█         | 1/9 [00:00<00:03,  2.53it/s, Loss=0.238]
+Epoch 181/1001:  11%|█         | 1/9 [00:00<00:03,  2.53it/s, Loss=0.24] 
+Epoch 181/1001:  11%|█         | 1/9 [00:00<00:03,  2.53it/s, Loss=0.246]
+Epoch 181/1001:  11%|█         | 1/9 [00:00<00:03,  2.53it/s, Loss=0.247]
+Epoch 181/1001:  11%|█         | 1/9 [00:00<00:03,  2.53it/s, Loss=0.239]
+Epoch 181/1001:  11%|█         | 1/9 [00:00<00:03,  2.53it/s, Loss=0.243]
+Epoch 181/1001:  11%|█         | 1/9 [00:00<00:03,  2.53it/s, Loss=0.243]
+Epoch 181/1001:  78%|███████▊  | 7/9 [00:00<00:00, 17.77it/s, Loss=0.243]
+Epoch 181/1001:  78%|███████▊  | 7/9 [00:00<00:00, 17.77it/s, Loss=0.244]
+Epoch 181/1001:  78%|███████▊  | 7/9 [00:00<00:00, 17.77it/s, Loss=0.241]
+Epoch 181/1001: 100%|██████████| 9/9 [00:00<00:00, 15.05it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 182/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 182/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.244]
+Epoch 182/1001:  11%|█         | 1/9 [00:00<00:02,  2.85it/s, Loss=0.244]
+Epoch 182/1001:  11%|█         | 1/9 [00:00<00:02,  2.85it/s, Loss=0.243]
+Epoch 182/1001:  11%|█         | 1/9 [00:00<00:02,  2.85it/s, Loss=0.247]
+Epoch 182/1001:  11%|█         | 1/9 [00:00<00:02,  2.85it/s, Loss=0.24] 
+Epoch 182/1001:  11%|█         | 1/9 [00:00<00:02,  2.85it/s, Loss=0.249]
+Epoch 182/1001:  11%|█         | 1/9 [00:00<00:02,  2.85it/s, Loss=0.241]
+Epoch 182/1001:  11%|█         | 1/9 [00:00<00:02,  2.85it/s, Loss=0.244]
+Epoch 182/1001:  11%|█         | 1/9 [00:00<00:02,  2.85it/s, Loss=0.242]
+Epoch 182/1001:  11%|█         | 1/9 [00:00<00:02,  2.85it/s, Loss=0.243]
+Epoch 182/1001: 100%|██████████| 9/9 [00:00<00:00, 17.41it/s, Loss=0.243]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 183/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 183/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.251]
+Epoch 183/1001:  11%|█         | 1/9 [00:00<00:02,  2.84it/s, Loss=0.251]
+Epoch 183/1001:  11%|█         | 1/9 [00:00<00:02,  2.84it/s, Loss=0.245]
+Epoch 183/1001:  11%|█         | 1/9 [00:00<00:02,  2.84it/s, Loss=0.249]
+Epoch 183/1001:  11%|█         | 1/9 [00:00<00:02,  2.84it/s, Loss=0.241]
+Epoch 183/1001:  11%|█         | 1/9 [00:00<00:02,  2.84it/s, Loss=0.242]
+Epoch 183/1001:  11%|█         | 1/9 [00:00<00:02,  2.84it/s, Loss=0.241]
+Epoch 183/1001:  11%|█         | 1/9 [00:00<00:02,  2.84it/s, Loss=0.243]
+Epoch 183/1001:  11%|█         | 1/9 [00:00<00:02,  2.84it/s, Loss=0.246]
+Epoch 183/1001:  11%|█         | 1/9 [00:00<00:02,  2.84it/s, Loss=0.24] 
+Epoch 183/1001: 100%|██████████| 9/9 [00:00<00:00, 17.43it/s, Loss=0.24]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 184/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 184/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.245]
+Epoch 184/1001:  11%|█         | 1/9 [00:00<00:02,  3.11it/s, Loss=0.245]
+Epoch 184/1001:  11%|█         | 1/9 [00:00<00:02,  3.11it/s, Loss=0.241]
+Epoch 184/1001:  11%|█         | 1/9 [00:00<00:02,  3.11it/s, Loss=0.246]
+Epoch 184/1001:  11%|█         | 1/9 [00:00<00:02,  3.11it/s, Loss=0.243]
+Epoch 184/1001:  11%|█         | 1/9 [00:00<00:02,  3.11it/s, Loss=0.241]
+Epoch 184/1001:  11%|█         | 1/9 [00:00<00:02,  3.11it/s, Loss=0.244]
+Epoch 184/1001:  11%|█         | 1/9 [00:00<00:02,  3.11it/s, Loss=0.242]
+Epoch 184/1001:  11%|█         | 1/9 [00:00<00:02,  3.11it/s, Loss=0.244]
+Epoch 184/1001:  11%|█         | 1/9 [00:00<00:02,  3.11it/s, Loss=0.243]
+Epoch 184/1001: 100%|██████████| 9/9 [00:00<00:00, 18.64it/s, Loss=0.243]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 185/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 185/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.243]
+Epoch 185/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.243]
+Epoch 185/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.241]
+Epoch 185/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.239]
+Epoch 185/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.239]
+Epoch 185/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.249]
+Epoch 185/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.241]
+Epoch 185/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.24] 
+Epoch 185/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.247]
+Epoch 185/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.243]
+Epoch 185/1001: 100%|██████████| 9/9 [00:00<00:00, 19.05it/s, Loss=0.243]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 186/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 186/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.245]
+Epoch 186/1001:  11%|█         | 1/9 [00:00<00:02,  3.03it/s, Loss=0.245]
+Epoch 186/1001:  11%|█         | 1/9 [00:00<00:02,  3.03it/s, Loss=0.247]
+Epoch 186/1001:  11%|█         | 1/9 [00:00<00:02,  3.03it/s, Loss=0.24] 
+Epoch 186/1001:  11%|█         | 1/9 [00:00<00:02,  3.03it/s, Loss=0.242]
+Epoch 186/1001:  11%|█         | 1/9 [00:00<00:02,  3.03it/s, Loss=0.243]
+Epoch 186/1001:  11%|█         | 1/9 [00:00<00:02,  3.03it/s, Loss=0.243]
+Epoch 186/1001:  11%|█         | 1/9 [00:00<00:02,  3.03it/s, Loss=0.241]
+Epoch 186/1001:  11%|█         | 1/9 [00:00<00:02,  3.03it/s, Loss=0.241]
+Epoch 186/1001:  11%|█         | 1/9 [00:00<00:02,  3.03it/s, Loss=0.241]
+Epoch 186/1001: 100%|██████████| 9/9 [00:00<00:00, 25.81it/s, Loss=0.241]
+Epoch 186/1001: 100%|██████████| 9/9 [00:00<00:00, 17.82it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 187/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 187/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.249]
+Epoch 187/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.249]
+Epoch 187/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.242]
+Epoch 187/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.248]
+Epoch 187/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.243]
+Epoch 187/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.239]
+Epoch 187/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.238]
+Epoch 187/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.242]
+Epoch 187/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.244]
+Epoch 187/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.244]
+Epoch 187/1001: 100%|██████████| 9/9 [00:00<00:00, 20.82it/s, Loss=0.244]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 188/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 188/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 188/1001:  11%|█         | 1/9 [00:00<00:02,  2.91it/s, Loss=0.234]
+Epoch 188/1001:  11%|█         | 1/9 [00:00<00:02,  2.91it/s, Loss=0.24] 
+Epoch 188/1001:  11%|█         | 1/9 [00:00<00:02,  2.91it/s, Loss=0.239]
+Epoch 188/1001:  11%|█         | 1/9 [00:00<00:02,  2.91it/s, Loss=0.246]
+Epoch 188/1001:  11%|█         | 1/9 [00:00<00:02,  2.91it/s, Loss=0.24] 
+Epoch 188/1001:  11%|█         | 1/9 [00:00<00:02,  2.91it/s, Loss=0.245]
+Epoch 188/1001:  11%|█         | 1/9 [00:00<00:02,  2.91it/s, Loss=0.24] 
+Epoch 188/1001:  11%|█         | 1/9 [00:00<00:02,  2.91it/s, Loss=0.244]
+Epoch 188/1001:  11%|█         | 1/9 [00:00<00:02,  2.91it/s, Loss=0.241]
+Epoch 188/1001: 100%|██████████| 9/9 [00:00<00:00, 18.58it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 189/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 189/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.242]
+Epoch 189/1001:  11%|█         | 1/9 [00:00<00:03,  2.54it/s, Loss=0.242]
+Epoch 189/1001:  11%|█         | 1/9 [00:00<00:03,  2.54it/s, Loss=0.241]
+Epoch 189/1001:  11%|█         | 1/9 [00:00<00:03,  2.54it/s, Loss=0.242]
+Epoch 189/1001:  11%|█         | 1/9 [00:00<00:03,  2.54it/s, Loss=0.244]
+Epoch 189/1001:  11%|█         | 1/9 [00:00<00:03,  2.54it/s, Loss=0.242]
+Epoch 189/1001:  11%|█         | 1/9 [00:00<00:03,  2.54it/s, Loss=0.242]
+Epoch 189/1001:  11%|█         | 1/9 [00:00<00:03,  2.54it/s, Loss=0.238]
+Epoch 189/1001:  11%|█         | 1/9 [00:00<00:03,  2.54it/s, Loss=0.244]
+Epoch 189/1001:  11%|█         | 1/9 [00:00<00:03,  2.54it/s, Loss=0.244]
+Epoch 189/1001: 100%|██████████| 9/9 [00:00<00:00, 16.72it/s, Loss=0.244]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 190/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 190/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 190/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.235]
+Epoch 190/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.238]
+Epoch 190/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.248]
+Epoch 190/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.241]
+Epoch 190/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.239]
+Epoch 190/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.251]
+Epoch 190/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.241]
+Epoch 190/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.243]
+Epoch 190/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.252]
+Epoch 190/1001: 100%|██████████| 9/9 [00:00<00:00, 23.29it/s, Loss=0.252]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 191/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 191/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.245]
+Epoch 191/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.245]
+Epoch 191/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.244]
+Epoch 191/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.245]
+Epoch 191/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.238]
+Epoch 191/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.241]
+Epoch 191/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.242]
+Epoch 191/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.244]
+Epoch 191/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.243]
+Epoch 191/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.24] 
+Epoch 191/1001: 100%|██████████| 9/9 [00:00<00:00, 23.75it/s, Loss=0.24]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 192/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 192/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.249]
+Epoch 192/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.249]
+Epoch 192/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.244]
+Epoch 192/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.242]
+Epoch 192/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.239]
+Epoch 192/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.238]
+Epoch 192/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.247]
+Epoch 192/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.24] 
+Epoch 192/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.24]
+Epoch 192/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.246]
+Epoch 192/1001: 100%|██████████| 9/9 [00:00<00:00, 20.03it/s, Loss=0.246]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 193/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 193/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 193/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.238]
+Epoch 193/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.239]
+Epoch 193/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.236]
+Epoch 193/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.242]
+Epoch 193/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.244]
+Epoch 193/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.24] 
+Epoch 193/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.243]
+Epoch 193/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.242]
+Epoch 193/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.246]
+Epoch 193/1001: 100%|██████████| 9/9 [00:00<00:00, 28.39it/s, Loss=0.246]
+Epoch 193/1001: 100%|██████████| 9/9 [00:00<00:00, 20.22it/s, Loss=0.246]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 194/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 194/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.245]
+Epoch 194/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.245]
+Epoch 194/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.25] 
+Epoch 194/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.24]
+Epoch 194/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.24]
+Epoch 194/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.239]
+Epoch 194/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.242]
+Epoch 194/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.244]
+Epoch 194/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.241]
+Epoch 194/1001:  89%|████████▉ | 8/9 [00:00<00:00, 30.96it/s, Loss=0.241]
+Epoch 194/1001:  89%|████████▉ | 8/9 [00:00<00:00, 30.96it/s, Loss=0.246]
+Epoch 194/1001: 100%|██████████| 9/9 [00:00<00:00, 24.62it/s, Loss=0.246]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 195/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 195/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.24]
+Epoch 195/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.24]
+Epoch 195/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.243]
+Epoch 195/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.249]
+Epoch 195/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.241]
+Epoch 195/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.242]
+Epoch 195/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.246]
+Epoch 195/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.241]
+Epoch 195/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.241]
+Epoch 195/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.24] 
+Epoch 195/1001: 100%|██████████| 9/9 [00:00<00:00, 26.93it/s, Loss=0.24]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 196/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 196/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.246]
+Epoch 196/1001:  11%|█         | 1/9 [00:00<00:01,  5.18it/s, Loss=0.246]
+Epoch 196/1001:  11%|█         | 1/9 [00:00<00:01,  5.18it/s, Loss=0.242]
+Epoch 196/1001:  11%|█         | 1/9 [00:00<00:01,  5.18it/s, Loss=0.248]
+Epoch 196/1001:  11%|█         | 1/9 [00:00<00:01,  5.18it/s, Loss=0.24] 
+Epoch 196/1001:  11%|█         | 1/9 [00:00<00:01,  5.18it/s, Loss=0.246]
+Epoch 196/1001:  11%|█         | 1/9 [00:00<00:01,  5.18it/s, Loss=0.246]
+Epoch 196/1001:  11%|█         | 1/9 [00:00<00:01,  5.18it/s, Loss=0.245]
+Epoch 196/1001:  11%|█         | 1/9 [00:00<00:01,  5.18it/s, Loss=0.246]
+Epoch 196/1001:  11%|█         | 1/9 [00:00<00:01,  5.18it/s, Loss=0.246]
+Epoch 196/1001: 100%|██████████| 9/9 [00:00<00:00, 29.02it/s, Loss=0.246]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 197/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 197/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.243]
+Epoch 197/1001:  11%|█         | 1/9 [00:00<00:01,  5.16it/s, Loss=0.243]
+Epoch 197/1001:  11%|█         | 1/9 [00:00<00:01,  5.16it/s, Loss=0.24] 
+Epoch 197/1001:  11%|█         | 1/9 [00:00<00:01,  5.16it/s, Loss=0.243]
+Epoch 197/1001:  11%|█         | 1/9 [00:00<00:01,  5.16it/s, Loss=0.243]
+Epoch 197/1001:  11%|█         | 1/9 [00:00<00:01,  5.16it/s, Loss=0.24] 
+Epoch 197/1001:  11%|█         | 1/9 [00:00<00:01,  5.16it/s, Loss=0.24]
+Epoch 197/1001:  11%|█         | 1/9 [00:00<00:01,  5.16it/s, Loss=0.243]
+Epoch 197/1001:  11%|█         | 1/9 [00:00<00:01,  5.16it/s, Loss=0.241]
+Epoch 197/1001:  89%|████████▉ | 8/9 [00:00<00:00, 31.20it/s, Loss=0.241]
+Epoch 197/1001:  89%|████████▉ | 8/9 [00:00<00:00, 31.20it/s, Loss=0.244]
+Epoch 197/1001: 100%|██████████| 9/9 [00:00<00:00, 24.91it/s, Loss=0.244]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 198/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 198/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.243]
+Epoch 198/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.243]
+Epoch 198/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.246]
+Epoch 198/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.243]
+Epoch 198/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.237]
+Epoch 198/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.244]
+Epoch 198/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.239]
+Epoch 198/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.241]
+Epoch 198/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.243]
+Epoch 198/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.241]
+Epoch 198/1001: 100%|██████████| 9/9 [00:00<00:00, 25.67it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 199/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 199/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.239]
+Epoch 199/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.239]
+Epoch 199/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.24] 
+Epoch 199/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.244]
+Epoch 199/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.237]
+Epoch 199/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.244]
+Epoch 199/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.24] 
+Epoch 199/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.244]
+Epoch 199/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.237]
+Epoch 199/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.243]
+Epoch 199/1001: 100%|██████████| 9/9 [00:00<00:00, 22.45it/s, Loss=0.243]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 200/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 200/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.24]
+Epoch 200/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.24]
+Epoch 200/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.245]
+Epoch 200/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.238]
+Epoch 200/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.246]
+Epoch 200/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.236]
+Epoch 200/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.248]
+Epoch 200/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.237]
+Epoch 200/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.246]
+Epoch 200/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.241]
+Epoch 200/1001: 100%|██████████| 9/9 [00:00<00:00, 22.08it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 201/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 201/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.242]
+Epoch 201/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.242]
+Epoch 201/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.245]
+Epoch 201/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.244]
+Epoch 201/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.245]
+Epoch 201/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.239]
+Epoch 201/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.241]
+Epoch 201/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.241]
+Epoch 201/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.243]
+Epoch 201/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.24] 
+Epoch 201/1001: 100%|██████████| 9/9 [00:00<00:00, 20.85it/s, Loss=0.24]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 202/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 202/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.239]
+Epoch 202/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.239]
+Epoch 202/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.24] 
+Epoch 202/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.242]
+Epoch 202/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.241]
+Epoch 202/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.242]
+Epoch 202/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.245]
+Epoch 202/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.237]
+Epoch 202/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.238]
+Epoch 202/1001:  89%|████████▉ | 8/9 [00:00<00:00, 25.04it/s, Loss=0.238]
+Epoch 202/1001:  89%|████████▉ | 8/9 [00:00<00:00, 25.04it/s, Loss=0.242]
+Epoch 202/1001: 100%|██████████| 9/9 [00:00<00:00, 19.44it/s, Loss=0.242]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 203/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 203/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.245]
+Epoch 203/1001:  11%|█         | 1/9 [00:00<00:02,  2.99it/s, Loss=0.245]
+Epoch 203/1001:  11%|█         | 1/9 [00:00<00:02,  2.99it/s, Loss=0.249]
+Epoch 203/1001:  11%|█         | 1/9 [00:00<00:02,  2.99it/s, Loss=0.24] 
+Epoch 203/1001:  11%|█         | 1/9 [00:00<00:02,  2.99it/s, Loss=0.244]
+Epoch 203/1001:  11%|█         | 1/9 [00:00<00:02,  2.99it/s, Loss=0.241]
+Epoch 203/1001:  11%|█         | 1/9 [00:00<00:02,  2.99it/s, Loss=0.24] 
+Epoch 203/1001:  11%|█         | 1/9 [00:00<00:02,  2.99it/s, Loss=0.246]
+Epoch 203/1001:  11%|█         | 1/9 [00:00<00:02,  2.99it/s, Loss=0.245]
+Epoch 203/1001:  11%|█         | 1/9 [00:00<00:02,  2.99it/s, Loss=0.248]
+Epoch 203/1001: 100%|██████████| 9/9 [00:00<00:00, 18.50it/s, Loss=0.248]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 204/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 204/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.244]
+Epoch 204/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.244]
+Epoch 204/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.243]
+Epoch 204/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.242]
+Epoch 204/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.239]
+Epoch 204/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.239]
+Epoch 204/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.244]
+Epoch 204/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.24] 
+Epoch 204/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.245]
+Epoch 204/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.239]
+Epoch 204/1001: 100%|██████████| 9/9 [00:00<00:00, 22.38it/s, Loss=0.239]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 205/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 205/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.243]
+Epoch 205/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.243]
+Epoch 205/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.241]
+Epoch 205/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.242]
+Epoch 205/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.243]
+Epoch 205/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.242]
+Epoch 205/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.245]
+Epoch 205/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.239]
+Epoch 205/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.245]
+Epoch 205/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.243]
+Epoch 205/1001: 100%|██████████| 9/9 [00:00<00:00, 23.57it/s, Loss=0.243]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 206/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 206/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 206/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.232]
+Epoch 206/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.245]
+Epoch 206/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.246]
+Epoch 206/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.243]
+Epoch 206/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.242]
+Epoch 206/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.245]
+Epoch 206/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.246]
+Epoch 206/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.242]
+Epoch 206/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.89it/s, Loss=0.242]
+Epoch 206/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.89it/s, Loss=0.245]
+Epoch 206/1001: 100%|██████████| 9/9 [00:00<00:00, 21.86it/s, Loss=0.245]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 207/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 207/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 207/1001:  11%|█         | 1/9 [00:00<00:01,  4.64it/s, Loss=0.236]
+Epoch 207/1001:  11%|█         | 1/9 [00:00<00:01,  4.64it/s, Loss=0.237]
+Epoch 207/1001:  11%|█         | 1/9 [00:00<00:01,  4.64it/s, Loss=0.247]
+Epoch 207/1001:  11%|█         | 1/9 [00:00<00:01,  4.64it/s, Loss=0.239]
+Epoch 207/1001:  11%|█         | 1/9 [00:00<00:01,  4.64it/s, Loss=0.242]
+Epoch 207/1001:  11%|█         | 1/9 [00:00<00:01,  4.64it/s, Loss=0.243]
+Epoch 207/1001:  11%|█         | 1/9 [00:00<00:01,  4.64it/s, Loss=0.237]
+Epoch 207/1001:  11%|█         | 1/9 [00:00<00:01,  4.64it/s, Loss=0.24] 
+Epoch 207/1001:  11%|█         | 1/9 [00:00<00:01,  4.64it/s, Loss=0.236]
+Epoch 207/1001: 100%|██████████| 9/9 [00:00<00:00, 25.43it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 208/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 208/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 208/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.236]
+Epoch 208/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.243]
+Epoch 208/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.242]
+Epoch 208/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.242]
+Epoch 208/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.241]
+Epoch 208/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.239]
+Epoch 208/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.237]
+Epoch 208/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.243]
+Epoch 208/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.242]
+Epoch 208/1001: 100%|██████████| 9/9 [00:00<00:00, 22.83it/s, Loss=0.242]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 209/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 209/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 209/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.238]
+Epoch 209/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.247]
+Epoch 209/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.239]
+Epoch 209/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.242]
+Epoch 209/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.244]
+Epoch 209/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.239]
+Epoch 209/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.242]
+Epoch 209/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.237]
+Epoch 209/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.244]
+Epoch 209/1001: 100%|██████████| 9/9 [00:00<00:00, 21.65it/s, Loss=0.244]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 210/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 210/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.246]
+Epoch 210/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.246]
+Epoch 210/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.236]
+Epoch 210/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.239]
+Epoch 210/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.246]
+Epoch 210/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.239]
+Epoch 210/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.241]
+Epoch 210/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.236]
+Epoch 210/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.239]
+Epoch 210/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.241]
+Epoch 210/1001: 100%|██████████| 9/9 [00:00<00:00, 23.14it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 211/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 211/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 211/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.237]
+Epoch 211/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.24] 
+Epoch 211/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.245]
+Epoch 211/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.238]
+Epoch 211/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.244]
+Epoch 211/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.245]
+Epoch 211/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.24] 
+Epoch 211/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.242]
+Epoch 211/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.244]
+Epoch 211/1001: 100%|██████████| 9/9 [00:00<00:00, 21.64it/s, Loss=0.244]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 212/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 212/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.245]
+Epoch 212/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.245]
+Epoch 212/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.239]
+Epoch 212/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.242]
+Epoch 212/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.237]
+Epoch 212/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.24] 
+Epoch 212/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.242]
+Epoch 212/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.247]
+Epoch 212/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.24] 
+Epoch 212/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.76it/s, Loss=0.24]
+Epoch 212/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.76it/s, Loss=0.238]
+Epoch 212/1001: 100%|██████████| 9/9 [00:00<00:00, 21.21it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 213/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 213/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.243]
+Epoch 213/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.243]
+Epoch 213/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.242]
+Epoch 213/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.234]
+Epoch 213/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.239]
+Epoch 213/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.239]
+Epoch 213/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.236]
+Epoch 213/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.243]
+Epoch 213/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.242]
+Epoch 213/1001:  89%|████████▉ | 8/9 [00:00<00:00, 29.38it/s, Loss=0.242]
+Epoch 213/1001:  89%|████████▉ | 8/9 [00:00<00:00, 29.38it/s, Loss=0.249]
+Epoch 213/1001: 100%|██████████| 9/9 [00:00<00:00, 22.42it/s, Loss=0.249]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 214/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 214/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.247]
+Epoch 214/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.247]
+Epoch 214/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.242]
+Epoch 214/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.237]
+Epoch 214/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.242]
+Epoch 214/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.238]
+Epoch 214/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.238]
+Epoch 214/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.237]
+Epoch 214/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.241]
+Epoch 214/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.241]
+Epoch 214/1001: 100%|██████████| 9/9 [00:00<00:00, 23.58it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 215/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 215/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.242]
+Epoch 215/1001:  11%|█         | 1/9 [00:00<00:01,  5.59it/s, Loss=0.242]
+Epoch 215/1001:  11%|█         | 1/9 [00:00<00:01,  5.59it/s, Loss=0.246]
+Epoch 215/1001:  11%|█         | 1/9 [00:00<00:01,  5.59it/s, Loss=0.241]
+Epoch 215/1001:  11%|█         | 1/9 [00:00<00:01,  5.59it/s, Loss=0.244]
+Epoch 215/1001:  11%|█         | 1/9 [00:00<00:01,  5.59it/s, Loss=0.239]
+Epoch 215/1001:  11%|█         | 1/9 [00:00<00:01,  5.59it/s, Loss=0.245]
+Epoch 215/1001:  11%|█         | 1/9 [00:00<00:01,  5.59it/s, Loss=0.239]
+Epoch 215/1001:  11%|█         | 1/9 [00:00<00:01,  5.59it/s, Loss=0.24] 
+Epoch 215/1001:  11%|█         | 1/9 [00:00<00:01,  5.59it/s, Loss=0.247]
+Epoch 215/1001: 100%|██████████| 9/9 [00:00<00:00, 29.30it/s, Loss=0.247]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 216/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 216/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.244]
+Epoch 216/1001:  11%|█         | 1/9 [00:00<00:01,  6.64it/s, Loss=0.244]
+Epoch 216/1001:  11%|█         | 1/9 [00:00<00:01,  6.64it/s, Loss=0.234]
+Epoch 216/1001:  11%|█         | 1/9 [00:00<00:01,  6.64it/s, Loss=0.245]
+Epoch 216/1001:  11%|█         | 1/9 [00:00<00:01,  6.64it/s, Loss=0.246]
+Epoch 216/1001:  11%|█         | 1/9 [00:00<00:01,  6.64it/s, Loss=0.243]
+Epoch 216/1001:  11%|█         | 1/9 [00:00<00:01,  6.64it/s, Loss=0.242]
+Epoch 216/1001:  11%|█         | 1/9 [00:00<00:01,  6.64it/s, Loss=0.244]
+Epoch 216/1001:  11%|█         | 1/9 [00:00<00:01,  6.64it/s, Loss=0.249]
+Epoch 216/1001:  11%|█         | 1/9 [00:00<00:01,  6.64it/s, Loss=0.245]
+Epoch 216/1001: 100%|██████████| 9/9 [00:00<00:00, 31.82it/s, Loss=0.245]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 217/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 217/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.243]
+Epoch 217/1001:  11%|█         | 1/9 [00:00<00:01,  4.87it/s, Loss=0.243]
+Epoch 217/1001:  11%|█         | 1/9 [00:00<00:01,  4.87it/s, Loss=0.241]
+Epoch 217/1001:  11%|█         | 1/9 [00:00<00:01,  4.87it/s, Loss=0.239]
+Epoch 217/1001:  11%|█         | 1/9 [00:00<00:01,  4.87it/s, Loss=0.249]
+Epoch 217/1001:  11%|█         | 1/9 [00:00<00:01,  4.87it/s, Loss=0.25] 
+Epoch 217/1001:  11%|█         | 1/9 [00:00<00:01,  4.87it/s, Loss=0.245]
+Epoch 217/1001:  11%|█         | 1/9 [00:00<00:01,  4.87it/s, Loss=0.242]
+Epoch 217/1001:  11%|█         | 1/9 [00:00<00:01,  4.87it/s, Loss=0.238]
+Epoch 217/1001:  11%|█         | 1/9 [00:00<00:01,  4.87it/s, Loss=0.251]
+Epoch 217/1001: 100%|██████████| 9/9 [00:00<00:00, 25.39it/s, Loss=0.251]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 218/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 218/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.24]
+Epoch 218/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.24]
+Epoch 218/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.243]
+Epoch 218/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.241]
+Epoch 218/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.236]
+Epoch 218/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.238]
+Epoch 218/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.243]
+Epoch 218/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.239]
+Epoch 218/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.238]
+Epoch 218/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.242]
+Epoch 218/1001: 100%|██████████| 9/9 [00:00<00:00, 23.85it/s, Loss=0.242]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 219/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 219/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.242]
+Epoch 219/1001:  11%|█         | 1/9 [00:00<00:01,  6.02it/s, Loss=0.242]
+Epoch 219/1001:  11%|█         | 1/9 [00:00<00:01,  6.02it/s, Loss=0.242]
+Epoch 219/1001:  11%|█         | 1/9 [00:00<00:01,  6.02it/s, Loss=0.249]
+Epoch 219/1001:  11%|█         | 1/9 [00:00<00:01,  6.02it/s, Loss=0.244]
+Epoch 219/1001:  11%|█         | 1/9 [00:00<00:01,  6.02it/s, Loss=0.244]
+Epoch 219/1001:  11%|█         | 1/9 [00:00<00:01,  6.02it/s, Loss=0.237]
+Epoch 219/1001:  11%|█         | 1/9 [00:00<00:01,  6.02it/s, Loss=0.238]
+Epoch 219/1001:  11%|█         | 1/9 [00:00<00:01,  6.02it/s, Loss=0.243]
+Epoch 219/1001:  89%|████████▉ | 8/9 [00:00<00:00, 35.51it/s, Loss=0.243]
+Epoch 219/1001:  89%|████████▉ | 8/9 [00:00<00:00, 35.51it/s, Loss=0.238]
+Epoch 219/1001: 100%|██████████| 9/9 [00:00<00:00, 26.04it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 220/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 220/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.242]
+Epoch 220/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.242]
+Epoch 220/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.241]
+Epoch 220/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.245]
+Epoch 220/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.239]
+Epoch 220/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.248]
+Epoch 220/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.237]
+Epoch 220/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.24] 
+Epoch 220/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.24]
+Epoch 220/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.236]
+Epoch 220/1001: 100%|██████████| 9/9 [00:00<00:00, 22.79it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 221/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 221/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.243]
+Epoch 221/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.243]
+Epoch 221/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.24] 
+Epoch 221/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.241]
+Epoch 221/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.238]
+Epoch 221/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.246]
+Epoch 221/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.244]
+Epoch 221/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.247]
+Epoch 221/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.239]
+Epoch 221/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.238]
+Epoch 221/1001: 100%|██████████| 9/9 [00:00<00:00, 21.39it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 222/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 222/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.242]
+Epoch 222/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.242]
+Epoch 222/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.236]
+Epoch 222/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.243]
+Epoch 222/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.244]
+Epoch 222/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.242]
+Epoch 222/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.245]
+Epoch 222/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.243]
+Epoch 222/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.238]
+Epoch 222/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.245]
+Epoch 222/1001: 100%|██████████| 9/9 [00:00<00:00, 20.45it/s, Loss=0.245]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 223/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 223/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.241]
+Epoch 223/1001:  11%|█         | 1/9 [00:00<00:02,  3.71it/s, Loss=0.241]
+Epoch 223/1001:  11%|█         | 1/9 [00:00<00:02,  3.71it/s, Loss=0.243]
+Epoch 223/1001:  11%|█         | 1/9 [00:00<00:02,  3.71it/s, Loss=0.24] 
+Epoch 223/1001:  11%|█         | 1/9 [00:00<00:02,  3.71it/s, Loss=0.245]
+Epoch 223/1001:  11%|█         | 1/9 [00:00<00:02,  3.71it/s, Loss=0.249]
+Epoch 223/1001:  11%|█         | 1/9 [00:00<00:02,  3.71it/s, Loss=0.243]
+Epoch 223/1001:  11%|█         | 1/9 [00:00<00:02,  3.71it/s, Loss=0.244]
+Epoch 223/1001:  11%|█         | 1/9 [00:00<00:02,  3.71it/s, Loss=0.241]
+Epoch 223/1001:  11%|█         | 1/9 [00:00<00:02,  3.71it/s, Loss=0.241]
+Epoch 223/1001: 100%|██████████| 9/9 [00:00<00:00, 22.26it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 224/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 224/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 224/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.238]
+Epoch 224/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.242]
+Epoch 224/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.24] 
+Epoch 224/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.245]
+Epoch 224/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.235]
+Epoch 224/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.239]
+Epoch 224/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.237]
+Epoch 224/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.249]
+Epoch 224/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.236]
+Epoch 224/1001: 100%|██████████| 9/9 [00:00<00:00, 20.41it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 225/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 225/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.241]
+Epoch 225/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.241]
+Epoch 225/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.249]
+Epoch 225/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.24] 
+Epoch 225/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.245]
+Epoch 225/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.24] 
+Epoch 225/1001:  56%|█████▌    | 5/9 [00:00<00:00, 17.71it/s, Loss=0.24]
+Epoch 225/1001:  56%|█████▌    | 5/9 [00:00<00:00, 17.71it/s, Loss=0.243]
+Epoch 225/1001:  56%|█████▌    | 5/9 [00:00<00:00, 17.71it/s, Loss=0.24] 
+Epoch 225/1001:  56%|█████▌    | 5/9 [00:00<00:00, 17.71it/s, Loss=0.239]
+Epoch 225/1001:  56%|█████▌    | 5/9 [00:00<00:00, 17.71it/s, Loss=0.244]
+Epoch 225/1001: 100%|██████████| 9/9 [00:00<00:00, 19.94it/s, Loss=0.244]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 226/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 226/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.242]
+Epoch 226/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.242]
+Epoch 226/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.247]
+Epoch 226/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.24] 
+Epoch 226/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.24]
+Epoch 226/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.246]
+Epoch 226/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.24] 
+Epoch 226/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.236]
+Epoch 226/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.243]
+Epoch 226/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.249]
+Epoch 226/1001: 100%|██████████| 9/9 [00:00<00:00, 22.10it/s, Loss=0.249]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 227/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 227/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.247]
+Epoch 227/1001:  11%|█         | 1/9 [00:00<00:01,  5.64it/s, Loss=0.247]
+Epoch 227/1001:  11%|█         | 1/9 [00:00<00:01,  5.64it/s, Loss=0.239]
+Epoch 227/1001:  11%|█         | 1/9 [00:00<00:01,  5.64it/s, Loss=0.244]
+Epoch 227/1001:  11%|█         | 1/9 [00:00<00:01,  5.64it/s, Loss=0.246]
+Epoch 227/1001:  11%|█         | 1/9 [00:00<00:01,  5.64it/s, Loss=0.242]
+Epoch 227/1001:  11%|█         | 1/9 [00:00<00:01,  5.64it/s, Loss=0.241]
+Epoch 227/1001:  11%|█         | 1/9 [00:00<00:01,  5.64it/s, Loss=0.247]
+Epoch 227/1001:  11%|█         | 1/9 [00:00<00:01,  5.64it/s, Loss=0.244]
+Epoch 227/1001:  11%|█         | 1/9 [00:00<00:01,  5.64it/s, Loss=0.243]
+Epoch 227/1001: 100%|██████████| 9/9 [00:00<00:00, 29.78it/s, Loss=0.243]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 228/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 228/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.244]
+Epoch 228/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.244]
+Epoch 228/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.238]
+Epoch 228/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.246]
+Epoch 228/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.237]
+Epoch 228/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.241]
+Epoch 228/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.243]
+Epoch 228/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.246]
+Epoch 228/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.24] 
+Epoch 228/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.238]
+Epoch 228/1001: 100%|██████████| 9/9 [00:00<00:00, 21.30it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 229/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 229/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.244]
+Epoch 229/1001:  11%|█         | 1/9 [00:00<00:02,  3.52it/s, Loss=0.244]
+Epoch 229/1001:  11%|█         | 1/9 [00:00<00:02,  3.52it/s, Loss=0.242]
+Epoch 229/1001:  11%|█         | 1/9 [00:00<00:02,  3.52it/s, Loss=0.24] 
+Epoch 229/1001:  11%|█         | 1/9 [00:00<00:02,  3.52it/s, Loss=0.244]
+Epoch 229/1001:  11%|█         | 1/9 [00:00<00:02,  3.52it/s, Loss=0.235]
+Epoch 229/1001:  11%|█         | 1/9 [00:00<00:02,  3.52it/s, Loss=0.239]
+Epoch 229/1001:  11%|█         | 1/9 [00:00<00:02,  3.52it/s, Loss=0.245]
+Epoch 229/1001:  11%|█         | 1/9 [00:00<00:02,  3.52it/s, Loss=0.24] 
+Epoch 229/1001:  11%|█         | 1/9 [00:00<00:02,  3.52it/s, Loss=0.236]
+Epoch 229/1001: 100%|██████████| 9/9 [00:00<00:00, 20.11it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 230/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 230/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.243]
+Epoch 230/1001:  11%|█         | 1/9 [00:00<00:02,  3.34it/s, Loss=0.243]
+Epoch 230/1001:  11%|█         | 1/9 [00:00<00:02,  3.34it/s, Loss=0.236]
+Epoch 230/1001:  11%|█         | 1/9 [00:00<00:02,  3.34it/s, Loss=0.24] 
+Epoch 230/1001:  11%|█         | 1/9 [00:00<00:02,  3.34it/s, Loss=0.245]
+Epoch 230/1001:  11%|█         | 1/9 [00:00<00:02,  3.34it/s, Loss=0.235]
+Epoch 230/1001:  11%|█         | 1/9 [00:00<00:02,  3.34it/s, Loss=0.239]
+Epoch 230/1001:  11%|█         | 1/9 [00:00<00:02,  3.34it/s, Loss=0.24] 
+Epoch 230/1001:  78%|███████▊  | 7/9 [00:00<00:00, 21.40it/s, Loss=0.24]
+Epoch 230/1001:  78%|███████▊  | 7/9 [00:00<00:00, 21.40it/s, Loss=0.247]
+Epoch 230/1001:  78%|███████▊  | 7/9 [00:00<00:00, 21.40it/s, Loss=0.241]
+Epoch 230/1001: 100%|██████████| 9/9 [00:00<00:00, 19.22it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 231/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 231/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.241]
+Epoch 231/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.241]
+Epoch 231/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.238]
+Epoch 231/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.237]
+Epoch 231/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.241]
+Epoch 231/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.237]
+Epoch 231/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.244]
+Epoch 231/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.239]
+Epoch 231/1001:  78%|███████▊  | 7/9 [00:00<00:00, 26.26it/s, Loss=0.239]
+Epoch 231/1001:  78%|███████▊  | 7/9 [00:00<00:00, 26.26it/s, Loss=0.242]
+Epoch 231/1001:  78%|███████▊  | 7/9 [00:00<00:00, 26.26it/s, Loss=0.233]
+Epoch 231/1001: 100%|██████████| 9/9 [00:00<00:00, 21.41it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 232/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 232/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.243]
+Epoch 232/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.243]
+Epoch 232/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.239]
+Epoch 232/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.238]
+Epoch 232/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.241]
+Epoch 232/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.242]
+Epoch 232/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.242]
+Epoch 232/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.241]
+Epoch 232/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.238]
+Epoch 232/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.239]
+Epoch 232/1001: 100%|██████████| 9/9 [00:00<00:00, 24.75it/s, Loss=0.239]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 233/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 233/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.245]
+Epoch 233/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.245]
+Epoch 233/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.239]
+Epoch 233/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.241]
+Epoch 233/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.241]
+Epoch 233/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.235]
+Epoch 233/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.238]
+Epoch 233/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.242]
+Epoch 233/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.243]
+Epoch 233/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.243]
+Epoch 233/1001: 100%|██████████| 9/9 [00:00<00:00, 22.61it/s, Loss=0.243]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 234/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 234/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.242]
+Epoch 234/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.242]
+Epoch 234/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.239]
+Epoch 234/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.241]
+Epoch 234/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.239]
+Epoch 234/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.242]
+Epoch 234/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.242]
+Epoch 234/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.242]
+Epoch 234/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.242]
+Epoch 234/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.243]
+Epoch 234/1001: 100%|██████████| 9/9 [00:00<00:00, 21.40it/s, Loss=0.243]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 235/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 235/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 235/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.238]
+Epoch 235/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.242]
+Epoch 235/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.237]
+Epoch 235/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.235]
+Epoch 235/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.244]
+Epoch 235/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.243]
+Epoch 235/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.242]
+Epoch 235/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.241]
+Epoch 235/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.235]
+Epoch 235/1001: 100%|██████████| 9/9 [00:00<00:00, 22.05it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 236/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 236/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 236/1001:  11%|█         | 1/9 [00:00<00:02,  3.46it/s, Loss=0.237]
+Epoch 236/1001:  11%|█         | 1/9 [00:00<00:02,  3.46it/s, Loss=0.234]
+Epoch 236/1001:  11%|█         | 1/9 [00:00<00:02,  3.46it/s, Loss=0.242]
+Epoch 236/1001:  11%|█         | 1/9 [00:00<00:02,  3.46it/s, Loss=0.238]
+Epoch 236/1001:  11%|█         | 1/9 [00:00<00:02,  3.46it/s, Loss=0.245]
+Epoch 236/1001:  11%|█         | 1/9 [00:00<00:02,  3.46it/s, Loss=0.241]
+Epoch 236/1001:  11%|█         | 1/9 [00:00<00:02,  3.46it/s, Loss=0.239]
+Epoch 236/1001:  11%|█         | 1/9 [00:00<00:02,  3.46it/s, Loss=0.238]
+Epoch 236/1001:  11%|█         | 1/9 [00:00<00:02,  3.46it/s, Loss=0.249]
+Epoch 236/1001: 100%|██████████| 9/9 [00:00<00:00, 28.09it/s, Loss=0.249]
+Epoch 236/1001: 100%|██████████| 9/9 [00:00<00:00, 17.79it/s, Loss=0.249]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 237/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 237/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.24]
+Epoch 237/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.24]
+Epoch 237/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.239]
+Epoch 237/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.237]
+Epoch 237/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.245]
+Epoch 237/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.238]
+Epoch 237/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.242]
+Epoch 237/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.238]
+Epoch 237/1001:  78%|███████▊  | 7/9 [00:00<00:00, 27.44it/s, Loss=0.238]
+Epoch 237/1001:  78%|███████▊  | 7/9 [00:00<00:00, 27.44it/s, Loss=0.238]
+Epoch 237/1001:  78%|███████▊  | 7/9 [00:00<00:00, 27.44it/s, Loss=0.237]
+Epoch 237/1001: 100%|██████████| 9/9 [00:00<00:00, 22.76it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 238/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 238/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.24]
+Epoch 238/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.24]
+Epoch 238/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.242]
+Epoch 238/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.242]
+Epoch 238/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.234]
+Epoch 238/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.244]
+Epoch 238/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.244]
+Epoch 238/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.241]
+Epoch 238/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.238]
+Epoch 238/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.237]
+Epoch 238/1001: 100%|██████████| 9/9 [00:00<00:00, 31.38it/s, Loss=0.237]
+Epoch 238/1001: 100%|██████████| 9/9 [00:00<00:00, 22.35it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 239/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 239/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.241]
+Epoch 239/1001:  11%|█         | 1/9 [00:00<00:01,  4.82it/s, Loss=0.241]
+Epoch 239/1001:  11%|█         | 1/9 [00:00<00:01,  4.82it/s, Loss=0.244]
+Epoch 239/1001:  11%|█         | 1/9 [00:00<00:01,  4.82it/s, Loss=0.244]
+Epoch 239/1001:  11%|█         | 1/9 [00:00<00:01,  4.82it/s, Loss=0.246]
+Epoch 239/1001:  11%|█         | 1/9 [00:00<00:01,  4.82it/s, Loss=0.244]
+Epoch 239/1001:  11%|█         | 1/9 [00:00<00:01,  4.82it/s, Loss=0.245]
+Epoch 239/1001:  11%|█         | 1/9 [00:00<00:01,  4.82it/s, Loss=0.235]
+Epoch 239/1001:  11%|█         | 1/9 [00:00<00:01,  4.82it/s, Loss=0.236]
+Epoch 239/1001:  11%|█         | 1/9 [00:00<00:01,  4.82it/s, Loss=0.244]
+Epoch 239/1001: 100%|██████████| 9/9 [00:00<00:00, 27.08it/s, Loss=0.244]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 240/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 240/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.245]
+Epoch 240/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.245]
+Epoch 240/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.244]
+Epoch 240/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.235]
+Epoch 240/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.237]
+Epoch 240/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.242]
+Epoch 240/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.244]
+Epoch 240/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.236]
+Epoch 240/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.241]
+Epoch 240/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.239]
+Epoch 240/1001: 100%|██████████| 9/9 [00:00<00:00, 23.77it/s, Loss=0.239]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 241/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 241/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.241]
+Epoch 241/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.241]
+Epoch 241/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.236]
+Epoch 241/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.241]
+Epoch 241/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.242]
+Epoch 241/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.246]
+Epoch 241/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.237]
+Epoch 241/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.243]
+Epoch 241/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.24] 
+Epoch 241/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.238]
+Epoch 241/1001: 100%|██████████| 9/9 [00:00<00:00, 21.18it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 242/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 242/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.243]
+Epoch 242/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.243]
+Epoch 242/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.234]
+Epoch 242/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.239]
+Epoch 242/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.239]
+Epoch 242/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.242]
+Epoch 242/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.248]
+Epoch 242/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.236]
+Epoch 242/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.242]
+Epoch 242/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.66it/s, Loss=0.242]
+Epoch 242/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.66it/s, Loss=0.243]
+Epoch 242/1001: 100%|██████████| 9/9 [00:00<00:00, 18.81it/s, Loss=0.243]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 243/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 243/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.243]
+Epoch 243/1001:  11%|█         | 1/9 [00:00<00:02,  2.79it/s, Loss=0.243]
+Epoch 243/1001:  11%|█         | 1/9 [00:00<00:02,  2.79it/s, Loss=0.24] 
+Epoch 243/1001:  11%|█         | 1/9 [00:00<00:02,  2.79it/s, Loss=0.249]
+Epoch 243/1001:  11%|█         | 1/9 [00:00<00:02,  2.79it/s, Loss=0.24] 
+Epoch 243/1001:  11%|█         | 1/9 [00:00<00:02,  2.79it/s, Loss=0.24]
+Epoch 243/1001:  11%|█         | 1/9 [00:00<00:02,  2.79it/s, Loss=0.238]
+Epoch 243/1001:  11%|█         | 1/9 [00:00<00:02,  2.79it/s, Loss=0.241]
+Epoch 243/1001:  78%|███████▊  | 7/9 [00:00<00:00, 18.74it/s, Loss=0.241]
+Epoch 243/1001:  78%|███████▊  | 7/9 [00:00<00:00, 18.74it/s, Loss=0.24] 
+Epoch 243/1001:  78%|███████▊  | 7/9 [00:00<00:00, 18.74it/s, Loss=0.245]
+Epoch 243/1001: 100%|██████████| 9/9 [00:00<00:00, 16.21it/s, Loss=0.245]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 244/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 244/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 244/1001:  11%|█         | 1/9 [00:00<00:02,  2.80it/s, Loss=0.236]
+Epoch 244/1001:  11%|█         | 1/9 [00:00<00:02,  2.80it/s, Loss=0.244]
+Epoch 244/1001:  11%|█         | 1/9 [00:00<00:02,  2.80it/s, Loss=0.243]
+Epoch 244/1001:  11%|█         | 1/9 [00:00<00:02,  2.80it/s, Loss=0.233]
+Epoch 244/1001:  11%|█         | 1/9 [00:00<00:02,  2.80it/s, Loss=0.242]
+Epoch 244/1001:  11%|█         | 1/9 [00:00<00:02,  2.80it/s, Loss=0.243]
+Epoch 244/1001:  11%|█         | 1/9 [00:00<00:02,  2.80it/s, Loss=0.239]
+Epoch 244/1001:  11%|█         | 1/9 [00:00<00:02,  2.80it/s, Loss=0.238]
+Epoch 244/1001:  89%|████████▉ | 8/9 [00:00<00:00, 21.21it/s, Loss=0.238]
+Epoch 244/1001:  89%|████████▉ | 8/9 [00:00<00:00, 21.21it/s, Loss=0.243]
+Epoch 244/1001: 100%|██████████| 9/9 [00:00<00:00, 15.88it/s, Loss=0.243]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 245/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 245/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.24]
+Epoch 245/1001:  11%|█         | 1/9 [00:00<00:02,  2.81it/s, Loss=0.24]
+Epoch 245/1001:  11%|█         | 1/9 [00:00<00:02,  2.81it/s, Loss=0.24]
+Epoch 245/1001:  11%|█         | 1/9 [00:00<00:02,  2.81it/s, Loss=0.241]
+Epoch 245/1001:  11%|█         | 1/9 [00:00<00:02,  2.81it/s, Loss=0.238]
+Epoch 245/1001:  11%|█         | 1/9 [00:00<00:02,  2.81it/s, Loss=0.241]
+Epoch 245/1001:  11%|█         | 1/9 [00:00<00:02,  2.81it/s, Loss=0.235]
+Epoch 245/1001:  11%|█         | 1/9 [00:00<00:02,  2.81it/s, Loss=0.241]
+Epoch 245/1001:  11%|█         | 1/9 [00:00<00:02,  2.81it/s, Loss=0.244]
+Epoch 245/1001:  11%|█         | 1/9 [00:00<00:02,  2.81it/s, Loss=0.235]
+Epoch 245/1001: 100%|██████████| 9/9 [00:00<00:00, 17.67it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 246/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 246/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 246/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.237]
+Epoch 246/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.24] 
+Epoch 246/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.237]
+Epoch 246/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.244]
+Epoch 246/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.24] 
+Epoch 246/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.235]
+Epoch 246/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.24] 
+Epoch 246/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.25]
+Epoch 246/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.235]
+Epoch 246/1001: 100%|██████████| 9/9 [00:00<00:00, 19.53it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 247/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 247/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 247/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.231]
+Epoch 247/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.244]
+Epoch 247/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.24] 
+Epoch 247/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.238]
+Epoch 247/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.245]
+Epoch 247/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.238]
+Epoch 247/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.243]
+Epoch 247/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.236]
+Epoch 247/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.236]
+Epoch 247/1001: 100%|██████████| 9/9 [00:00<00:00, 19.84it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 248/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 248/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.244]
+Epoch 248/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.244]
+Epoch 248/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.234]
+Epoch 248/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.236]
+Epoch 248/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.241]
+Epoch 248/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.245]
+Epoch 248/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.239]
+Epoch 248/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.242]
+Epoch 248/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.243]
+Epoch 248/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.241]
+Epoch 248/1001: 100%|██████████| 9/9 [00:00<00:00, 18.72it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 249/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 249/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.239]
+Epoch 249/1001:  11%|█         | 1/9 [00:00<00:03,  2.55it/s, Loss=0.239]
+Epoch 249/1001:  11%|█         | 1/9 [00:00<00:03,  2.55it/s, Loss=0.235]
+Epoch 249/1001:  11%|█         | 1/9 [00:00<00:03,  2.55it/s, Loss=0.241]
+Epoch 249/1001:  11%|█         | 1/9 [00:00<00:03,  2.55it/s, Loss=0.243]
+Epoch 249/1001:  11%|█         | 1/9 [00:00<00:03,  2.55it/s, Loss=0.244]
+Epoch 249/1001:  11%|█         | 1/9 [00:00<00:03,  2.55it/s, Loss=0.244]
+Epoch 249/1001:  11%|█         | 1/9 [00:00<00:03,  2.55it/s, Loss=0.238]
+Epoch 249/1001:  11%|█         | 1/9 [00:00<00:03,  2.55it/s, Loss=0.24] 
+Epoch 249/1001:  11%|█         | 1/9 [00:00<00:03,  2.55it/s, Loss=0.243]
+Epoch 249/1001: 100%|██████████| 9/9 [00:00<00:00, 16.29it/s, Loss=0.243]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 250/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 250/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.247]
+Epoch 250/1001:  11%|█         | 1/9 [00:00<00:02,  3.31it/s, Loss=0.247]
+Epoch 250/1001:  11%|█         | 1/9 [00:00<00:02,  3.31it/s, Loss=0.241]
+Epoch 250/1001:  11%|█         | 1/9 [00:00<00:02,  3.31it/s, Loss=0.241]
+Epoch 250/1001:  11%|█         | 1/9 [00:00<00:02,  3.31it/s, Loss=0.235]
+Epoch 250/1001:  11%|█         | 1/9 [00:00<00:02,  3.31it/s, Loss=0.238]
+Epoch 250/1001:  11%|█         | 1/9 [00:00<00:02,  3.31it/s, Loss=0.236]
+Epoch 250/1001:  11%|█         | 1/9 [00:00<00:02,  3.31it/s, Loss=0.243]
+Epoch 250/1001:  11%|█         | 1/9 [00:00<00:02,  3.31it/s, Loss=0.24] 
+Epoch 250/1001:  11%|█         | 1/9 [00:00<00:02,  3.31it/s, Loss=0.238]
+Epoch 250/1001: 100%|██████████| 9/9 [00:00<00:00, 19.85it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 251/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 251/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 251/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.238]
+Epoch 251/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.246]
+Epoch 251/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.24] 
+Epoch 251/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.241]
+Epoch 251/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.245]
+Epoch 251/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.241]
+Epoch 251/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.24] 
+Epoch 251/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.238]
+Epoch 251/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.41it/s, Loss=0.238]
+Epoch 251/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.41it/s, Loss=0.233]
+Epoch 251/1001: 100%|██████████| 9/9 [00:00<00:00, 18.49it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 252/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 252/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 252/1001:  11%|█         | 1/9 [00:00<00:02,  3.56it/s, Loss=0.234]
+Epoch 252/1001:  11%|█         | 1/9 [00:00<00:02,  3.56it/s, Loss=0.244]
+Epoch 252/1001:  11%|█         | 1/9 [00:00<00:02,  3.56it/s, Loss=0.242]
+Epoch 252/1001:  11%|█         | 1/9 [00:00<00:02,  3.56it/s, Loss=0.244]
+Epoch 252/1001:  11%|█         | 1/9 [00:00<00:02,  3.56it/s, Loss=0.241]
+Epoch 252/1001:  11%|█         | 1/9 [00:00<00:02,  3.56it/s, Loss=0.239]
+Epoch 252/1001:  11%|█         | 1/9 [00:00<00:02,  3.56it/s, Loss=0.24] 
+Epoch 252/1001:  11%|█         | 1/9 [00:00<00:02,  3.56it/s, Loss=0.234]
+Epoch 252/1001:  11%|█         | 1/9 [00:00<00:02,  3.56it/s, Loss=0.237]
+Epoch 252/1001: 100%|██████████| 9/9 [00:00<00:00, 21.00it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 253/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 253/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 253/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.235]
+Epoch 253/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.241]
+Epoch 253/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.242]
+Epoch 253/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.242]
+Epoch 253/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.241]
+Epoch 253/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.241]
+Epoch 253/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.244]
+Epoch 253/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.245]
+Epoch 253/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.242]
+Epoch 253/1001: 100%|██████████| 9/9 [00:00<00:00, 20.58it/s, Loss=0.242]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 254/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 254/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 254/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.238]
+Epoch 254/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.245]
+Epoch 254/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.245]
+Epoch 254/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.245]
+Epoch 254/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.24] 
+Epoch 254/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.24]
+Epoch 254/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.237]
+Epoch 254/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.233]
+Epoch 254/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.239]
+Epoch 254/1001: 100%|██████████| 9/9 [00:00<00:00, 19.30it/s, Loss=0.239]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 255/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 255/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 255/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.237]
+Epoch 255/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.24] 
+Epoch 255/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.241]
+Epoch 255/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.237]
+Epoch 255/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.242]
+Epoch 255/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.241]
+Epoch 255/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.241]
+Epoch 255/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.235]
+Epoch 255/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.239]
+Epoch 255/1001: 100%|██████████| 9/9 [00:00<00:00, 21.63it/s, Loss=0.239]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 256/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 256/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.245]
+Epoch 256/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.245]
+Epoch 256/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.244]
+Epoch 256/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.244]
+Epoch 256/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.24] 
+Epoch 256/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.239]
+Epoch 256/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.243]
+Epoch 256/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.242]
+Epoch 256/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.242]
+Epoch 256/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.246]
+Epoch 256/1001: 100%|██████████| 9/9 [00:00<00:00, 20.95it/s, Loss=0.246]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 257/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 257/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.239]
+Epoch 257/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.239]
+Epoch 257/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.243]
+Epoch 257/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.24] 
+Epoch 257/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.236]
+Epoch 257/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.237]
+Epoch 257/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.237]
+Epoch 257/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.244]
+Epoch 257/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.237]
+Epoch 257/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.236]
+Epoch 257/1001: 100%|██████████| 9/9 [00:00<00:00, 21.09it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 258/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 258/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.244]
+Epoch 258/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.244]
+Epoch 258/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.241]
+Epoch 258/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.239]
+Epoch 258/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.242]
+Epoch 258/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.24] 
+Epoch 258/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.247]
+Epoch 258/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.236]
+Epoch 258/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.239]
+Epoch 258/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.244]
+Epoch 258/1001: 100%|██████████| 9/9 [00:00<00:00, 21.47it/s, Loss=0.244]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 259/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 259/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.244]
+Epoch 259/1001:  11%|█         | 1/9 [00:00<00:02,  3.37it/s, Loss=0.244]
+Epoch 259/1001:  11%|█         | 1/9 [00:00<00:02,  3.37it/s, Loss=0.236]
+Epoch 259/1001:  11%|█         | 1/9 [00:00<00:02,  3.37it/s, Loss=0.238]
+Epoch 259/1001:  11%|█         | 1/9 [00:00<00:02,  3.37it/s, Loss=0.237]
+Epoch 259/1001:  11%|█         | 1/9 [00:00<00:02,  3.37it/s, Loss=0.237]
+Epoch 259/1001:  11%|█         | 1/9 [00:00<00:02,  3.37it/s, Loss=0.236]
+Epoch 259/1001:  11%|█         | 1/9 [00:00<00:02,  3.37it/s, Loss=0.237]
+Epoch 259/1001:  11%|█         | 1/9 [00:00<00:02,  3.37it/s, Loss=0.235]
+Epoch 259/1001:  89%|████████▉ | 8/9 [00:00<00:00, 23.85it/s, Loss=0.235]
+Epoch 259/1001:  89%|████████▉ | 8/9 [00:00<00:00, 23.85it/s, Loss=0.237]
+Epoch 259/1001: 100%|██████████| 9/9 [00:00<00:00, 18.27it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 260/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 260/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.242]
+Epoch 260/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.242]
+Epoch 260/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.241]
+Epoch 260/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.238]
+Epoch 260/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.239]
+Epoch 260/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.242]
+Epoch 260/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.239]
+Epoch 260/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.237]
+Epoch 260/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.241]
+Epoch 260/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.242]
+Epoch 260/1001: 100%|██████████| 9/9 [00:00<00:00, 20.83it/s, Loss=0.242]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 261/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 261/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 261/1001:  11%|█         | 1/9 [00:00<00:01,  4.76it/s, Loss=0.236]
+Epoch 261/1001:  11%|█         | 1/9 [00:00<00:01,  4.76it/s, Loss=0.237]
+Epoch 261/1001:  11%|█         | 1/9 [00:00<00:01,  4.76it/s, Loss=0.237]
+Epoch 261/1001:  11%|█         | 1/9 [00:00<00:01,  4.76it/s, Loss=0.234]
+Epoch 261/1001:  11%|█         | 1/9 [00:00<00:01,  4.76it/s, Loss=0.239]
+Epoch 261/1001:  11%|█         | 1/9 [00:00<00:01,  4.76it/s, Loss=0.24] 
+Epoch 261/1001:  11%|█         | 1/9 [00:00<00:01,  4.76it/s, Loss=0.236]
+Epoch 261/1001:  11%|█         | 1/9 [00:00<00:01,  4.76it/s, Loss=0.238]
+Epoch 261/1001:  89%|████████▉ | 8/9 [00:00<00:00, 30.69it/s, Loss=0.238]
+Epoch 261/1001:  89%|████████▉ | 8/9 [00:00<00:00, 30.69it/s, Loss=0.237]
+Epoch 261/1001: 100%|██████████| 9/9 [00:00<00:00, 23.89it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 262/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 262/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.24]
+Epoch 262/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.24]
+Epoch 262/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.242]
+Epoch 262/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.247]
+Epoch 262/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.24] 
+Epoch 262/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.235]
+Epoch 262/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.235]
+Epoch 262/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.241]
+Epoch 262/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.24] 
+Epoch 262/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.243]
+Epoch 262/1001: 100%|██████████| 9/9 [00:00<00:00, 23.86it/s, Loss=0.243]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 263/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 263/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 263/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.238]
+Epoch 263/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.234]
+Epoch 263/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.242]
+Epoch 263/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.244]
+Epoch 263/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.243]
+Epoch 263/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.243]
+Epoch 263/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.238]
+Epoch 263/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.238]
+Epoch 263/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.241]
+Epoch 263/1001: 100%|██████████| 9/9 [00:00<00:00, 26.78it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 264/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 264/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.24]
+Epoch 264/1001:  11%|█         | 1/9 [00:00<00:01,  5.30it/s, Loss=0.24]
+Epoch 264/1001:  11%|█         | 1/9 [00:00<00:01,  5.30it/s, Loss=0.243]
+Epoch 264/1001:  11%|█         | 1/9 [00:00<00:01,  5.30it/s, Loss=0.237]
+Epoch 264/1001:  11%|█         | 1/9 [00:00<00:01,  5.30it/s, Loss=0.24] 
+Epoch 264/1001:  11%|█         | 1/9 [00:00<00:01,  5.30it/s, Loss=0.236]
+Epoch 264/1001:  11%|█         | 1/9 [00:00<00:01,  5.30it/s, Loss=0.24] 
+Epoch 264/1001:  11%|█         | 1/9 [00:00<00:01,  5.30it/s, Loss=0.244]
+Epoch 264/1001:  11%|█         | 1/9 [00:00<00:01,  5.30it/s, Loss=0.247]
+Epoch 264/1001:  11%|█         | 1/9 [00:00<00:01,  5.30it/s, Loss=0.241]
+Epoch 264/1001: 100%|██████████| 9/9 [00:00<00:00, 26.64it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 265/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 265/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.241]
+Epoch 265/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.241]
+Epoch 265/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.237]
+Epoch 265/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.237]
+Epoch 265/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.241]
+Epoch 265/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.243]
+Epoch 265/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.239]
+Epoch 265/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.24] 
+Epoch 265/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.237]
+Epoch 265/1001:  89%|████████▉ | 8/9 [00:00<00:00, 27.23it/s, Loss=0.237]
+Epoch 265/1001:  89%|████████▉ | 8/9 [00:00<00:00, 27.23it/s, Loss=0.242]
+Epoch 265/1001: 100%|██████████| 9/9 [00:00<00:00, 20.99it/s, Loss=0.242]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 266/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 266/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.244]
+Epoch 266/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.244]
+Epoch 266/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.24] 
+Epoch 266/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.235]
+Epoch 266/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.237]
+Epoch 266/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.249]
+Epoch 266/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.245]
+Epoch 266/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.238]
+Epoch 266/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.237]
+Epoch 266/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.237]
+Epoch 266/1001: 100%|██████████| 9/9 [00:00<00:00, 30.45it/s, Loss=0.237]
+Epoch 266/1001: 100%|██████████| 9/9 [00:00<00:00, 20.93it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 267/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 267/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.24]
+Epoch 267/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.24]
+Epoch 267/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.241]
+Epoch 267/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.241]
+Epoch 267/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.233]
+Epoch 267/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.24] 
+Epoch 267/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.243]
+Epoch 267/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.239]
+Epoch 267/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.24] 
+Epoch 267/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.57it/s, Loss=0.24]
+Epoch 267/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.57it/s, Loss=0.241]
+Epoch 267/1001: 100%|██████████| 9/9 [00:00<00:00, 20.99it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 268/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 268/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 268/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.235]
+Epoch 268/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.241]
+Epoch 268/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.236]
+Epoch 268/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.242]
+Epoch 268/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.245]
+Epoch 268/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.239]
+Epoch 268/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.237]
+Epoch 268/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.241]
+Epoch 268/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.242]
+Epoch 268/1001: 100%|██████████| 9/9 [00:00<00:00, 21.67it/s, Loss=0.242]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 269/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 269/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.239]
+Epoch 269/1001:  11%|█         | 1/9 [00:00<00:02,  3.34it/s, Loss=0.239]
+Epoch 269/1001:  11%|█         | 1/9 [00:00<00:02,  3.34it/s, Loss=0.236]
+Epoch 269/1001:  11%|█         | 1/9 [00:00<00:02,  3.34it/s, Loss=0.24] 
+Epoch 269/1001:  11%|█         | 1/9 [00:00<00:02,  3.34it/s, Loss=0.238]
+Epoch 269/1001:  11%|█         | 1/9 [00:00<00:02,  3.34it/s, Loss=0.235]
+Epoch 269/1001:  11%|█         | 1/9 [00:00<00:02,  3.34it/s, Loss=0.243]
+Epoch 269/1001:  11%|█         | 1/9 [00:00<00:02,  3.34it/s, Loss=0.242]
+Epoch 269/1001:  11%|█         | 1/9 [00:00<00:02,  3.34it/s, Loss=0.234]
+Epoch 269/1001:  11%|█         | 1/9 [00:00<00:02,  3.34it/s, Loss=0.249]
+Epoch 269/1001: 100%|██████████| 9/9 [00:00<00:00, 20.36it/s, Loss=0.249]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 270/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 270/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 270/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.237]
+Epoch 270/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.234]
+Epoch 270/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.241]
+Epoch 270/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.235]
+Epoch 270/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.243]
+Epoch 270/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.237]
+Epoch 270/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.24] 
+Epoch 270/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.237]
+Epoch 270/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.239]
+Epoch 270/1001: 100%|██████████| 9/9 [00:00<00:00, 22.97it/s, Loss=0.239]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 271/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 271/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 271/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.235]
+Epoch 271/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.249]
+Epoch 271/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.24] 
+Epoch 271/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.236]
+Epoch 271/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.245]
+Epoch 271/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.242]
+Epoch 271/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.239]
+Epoch 271/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.245]
+Epoch 271/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.238]
+Epoch 271/1001: 100%|██████████| 9/9 [00:00<00:00, 24.84it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 272/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 272/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.241]
+Epoch 272/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.241]
+Epoch 272/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.236]
+Epoch 272/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.235]
+Epoch 272/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.241]
+Epoch 272/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.24] 
+Epoch 272/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.237]
+Epoch 272/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.24] 
+Epoch 272/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.243]
+Epoch 272/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.241]
+Epoch 272/1001: 100%|██████████| 9/9 [00:00<00:00, 27.33it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 273/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 273/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 273/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.231]
+Epoch 273/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.243]
+Epoch 273/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.242]
+Epoch 273/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.242]
+Epoch 273/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.242]
+Epoch 273/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.243]
+Epoch 273/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.241]
+Epoch 273/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.24] 
+Epoch 273/1001:  89%|████████▉ | 8/9 [00:00<00:00, 27.53it/s, Loss=0.24]
+Epoch 273/1001:  89%|████████▉ | 8/9 [00:00<00:00, 27.53it/s, Loss=0.243]
+Epoch 273/1001: 100%|██████████| 9/9 [00:00<00:00, 22.04it/s, Loss=0.243]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 274/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 274/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.24]
+Epoch 274/1001:  11%|█         | 1/9 [00:00<00:01,  5.42it/s, Loss=0.24]
+Epoch 274/1001:  11%|█         | 1/9 [00:00<00:01,  5.42it/s, Loss=0.241]
+Epoch 274/1001:  11%|█         | 1/9 [00:00<00:01,  5.42it/s, Loss=0.236]
+Epoch 274/1001:  11%|█         | 1/9 [00:00<00:01,  5.42it/s, Loss=0.236]
+Epoch 274/1001:  11%|█         | 1/9 [00:00<00:01,  5.42it/s, Loss=0.239]
+Epoch 274/1001:  11%|█         | 1/9 [00:00<00:01,  5.42it/s, Loss=0.236]
+Epoch 274/1001:  11%|█         | 1/9 [00:00<00:01,  5.42it/s, Loss=0.245]
+Epoch 274/1001:  11%|█         | 1/9 [00:00<00:01,  5.42it/s, Loss=0.238]
+Epoch 274/1001:  11%|█         | 1/9 [00:00<00:01,  5.42it/s, Loss=0.239]
+Epoch 274/1001: 100%|██████████| 9/9 [00:00<00:00, 30.99it/s, Loss=0.239]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 275/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 275/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.241]
+Epoch 275/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.241]
+Epoch 275/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.244]
+Epoch 275/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.239]
+Epoch 275/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.243]
+Epoch 275/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.239]
+Epoch 275/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.238]
+Epoch 275/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.236]
+Epoch 275/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.238]
+Epoch 275/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.238]
+Epoch 275/1001: 100%|██████████| 9/9 [00:00<00:00, 23.03it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 276/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 276/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 276/1001:  11%|█         | 1/9 [00:00<00:02,  3.66it/s, Loss=0.238]
+Epoch 276/1001:  11%|█         | 1/9 [00:00<00:02,  3.66it/s, Loss=0.244]
+Epoch 276/1001:  11%|█         | 1/9 [00:00<00:02,  3.66it/s, Loss=0.241]
+Epoch 276/1001:  11%|█         | 1/9 [00:00<00:02,  3.66it/s, Loss=0.239]
+Epoch 276/1001:  11%|█         | 1/9 [00:00<00:02,  3.66it/s, Loss=0.235]
+Epoch 276/1001:  11%|█         | 1/9 [00:00<00:02,  3.66it/s, Loss=0.239]
+Epoch 276/1001:  11%|█         | 1/9 [00:00<00:02,  3.66it/s, Loss=0.241]
+Epoch 276/1001:  11%|█         | 1/9 [00:00<00:02,  3.66it/s, Loss=0.241]
+Epoch 276/1001:  11%|█         | 1/9 [00:00<00:02,  3.66it/s, Loss=0.242]
+Epoch 276/1001: 100%|██████████| 9/9 [00:00<00:00, 21.66it/s, Loss=0.242]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 277/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 277/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 277/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.237]
+Epoch 277/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.242]
+Epoch 277/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.241]
+Epoch 277/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.242]
+Epoch 277/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.238]
+Epoch 277/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.243]
+Epoch 277/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.241]
+Epoch 277/1001:  78%|███████▊  | 7/9 [00:00<00:00, 24.29it/s, Loss=0.241]
+Epoch 277/1001:  78%|███████▊  | 7/9 [00:00<00:00, 24.29it/s, Loss=0.241]
+Epoch 277/1001:  78%|███████▊  | 7/9 [00:00<00:00, 24.29it/s, Loss=0.235]
+Epoch 277/1001: 100%|██████████| 9/9 [00:00<00:00, 20.29it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 278/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 278/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 278/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.238]
+Epoch 278/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.245]
+Epoch 278/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.242]
+Epoch 278/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.233]
+Epoch 278/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.235]
+Epoch 278/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.239]
+Epoch 278/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.235]
+Epoch 278/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.237]
+Epoch 278/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.236]
+Epoch 278/1001: 100%|██████████| 9/9 [00:00<00:00, 29.62it/s, Loss=0.236]
+Epoch 278/1001: 100%|██████████| 9/9 [00:00<00:00, 21.16it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 279/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 279/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 279/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.237]
+Epoch 279/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.24] 
+Epoch 279/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.245]
+Epoch 279/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.242]
+Epoch 279/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.238]
+Epoch 279/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.237]
+Epoch 279/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.243]
+Epoch 279/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.241]
+Epoch 279/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.244]
+Epoch 279/1001: 100%|██████████| 9/9 [00:00<00:00, 20.99it/s, Loss=0.244]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 280/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 280/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.242]
+Epoch 280/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.242]
+Epoch 280/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.24] 
+Epoch 280/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.236]
+Epoch 280/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.244]
+Epoch 280/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.241]
+Epoch 280/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.238]
+Epoch 280/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.234]
+Epoch 280/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.238]
+Epoch 280/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.239]
+Epoch 280/1001: 100%|██████████| 9/9 [00:00<00:00, 23.63it/s, Loss=0.239]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 281/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 281/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.242]
+Epoch 281/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.242]
+Epoch 281/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.241]
+Epoch 281/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.243]
+Epoch 281/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.241]
+Epoch 281/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.239]
+Epoch 281/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.24] 
+Epoch 281/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.246]
+Epoch 281/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.235]
+Epoch 281/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.24] 
+Epoch 281/1001: 100%|██████████| 9/9 [00:00<00:00, 23.02it/s, Loss=0.24]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 282/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 282/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.241]
+Epoch 282/1001:  11%|█         | 1/9 [00:00<00:01,  4.41it/s, Loss=0.241]
+Epoch 282/1001:  11%|█         | 1/9 [00:00<00:01,  4.41it/s, Loss=0.241]
+Epoch 282/1001:  11%|█         | 1/9 [00:00<00:01,  4.41it/s, Loss=0.239]
+Epoch 282/1001:  11%|█         | 1/9 [00:00<00:01,  4.41it/s, Loss=0.238]
+Epoch 282/1001:  11%|█         | 1/9 [00:00<00:01,  4.41it/s, Loss=0.24] 
+Epoch 282/1001:  11%|█         | 1/9 [00:00<00:01,  4.41it/s, Loss=0.243]
+Epoch 282/1001:  11%|█         | 1/9 [00:00<00:01,  4.41it/s, Loss=0.237]
+Epoch 282/1001:  11%|█         | 1/9 [00:00<00:01,  4.41it/s, Loss=0.24] 
+Epoch 282/1001:  11%|█         | 1/9 [00:00<00:01,  4.41it/s, Loss=0.239]
+Epoch 282/1001: 100%|██████████| 9/9 [00:00<00:00, 25.82it/s, Loss=0.239]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 283/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 283/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.239]
+Epoch 283/1001:  11%|█         | 1/9 [00:00<00:01,  6.09it/s, Loss=0.239]
+Epoch 283/1001:  11%|█         | 1/9 [00:00<00:01,  6.09it/s, Loss=0.239]
+Epoch 283/1001:  11%|█         | 1/9 [00:00<00:01,  6.09it/s, Loss=0.239]
+Epoch 283/1001:  11%|█         | 1/9 [00:00<00:01,  6.09it/s, Loss=0.239]
+Epoch 283/1001:  11%|█         | 1/9 [00:00<00:01,  6.09it/s, Loss=0.238]
+Epoch 283/1001:  11%|█         | 1/9 [00:00<00:01,  6.09it/s, Loss=0.237]
+Epoch 283/1001:  11%|█         | 1/9 [00:00<00:01,  6.09it/s, Loss=0.245]
+Epoch 283/1001:  78%|███████▊  | 7/9 [00:00<00:00, 31.09it/s, Loss=0.245]
+Epoch 283/1001:  78%|███████▊  | 7/9 [00:00<00:00, 31.09it/s, Loss=0.235]
+Epoch 283/1001:  78%|███████▊  | 7/9 [00:00<00:00, 31.09it/s, Loss=0.237]
+Epoch 283/1001: 100%|██████████| 9/9 [00:00<00:00, 25.67it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 284/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 284/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.242]
+Epoch 284/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.242]
+Epoch 284/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.238]
+Epoch 284/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.24] 
+Epoch 284/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.236]
+Epoch 284/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.236]
+Epoch 284/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.238]
+Epoch 284/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.238]
+Epoch 284/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.24] 
+Epoch 284/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.241]
+Epoch 284/1001: 100%|██████████| 9/9 [00:00<00:00, 24.40it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 285/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 285/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 285/1001:  11%|█         | 1/9 [00:00<00:01,  6.50it/s, Loss=0.237]
+Epoch 285/1001:  11%|█         | 1/9 [00:00<00:01,  6.50it/s, Loss=0.238]
+Epoch 285/1001:  11%|█         | 1/9 [00:00<00:01,  6.50it/s, Loss=0.235]
+Epoch 285/1001:  11%|█         | 1/9 [00:00<00:01,  6.50it/s, Loss=0.239]
+Epoch 285/1001:  11%|█         | 1/9 [00:00<00:01,  6.50it/s, Loss=0.244]
+Epoch 285/1001:  11%|█         | 1/9 [00:00<00:01,  6.50it/s, Loss=0.231]
+Epoch 285/1001:  11%|█         | 1/9 [00:00<00:01,  6.50it/s, Loss=0.237]
+Epoch 285/1001:  11%|█         | 1/9 [00:00<00:01,  6.50it/s, Loss=0.239]
+Epoch 285/1001:  11%|█         | 1/9 [00:00<00:01,  6.50it/s, Loss=0.241]
+Epoch 285/1001: 100%|██████████| 9/9 [00:00<00:00, 32.03it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 286/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 286/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.239]
+Epoch 286/1001:  11%|█         | 1/9 [00:00<00:01,  7.18it/s, Loss=0.239]
+Epoch 286/1001:  11%|█         | 1/9 [00:00<00:01,  7.18it/s, Loss=0.236]
+Epoch 286/1001:  11%|█         | 1/9 [00:00<00:01,  7.18it/s, Loss=0.235]
+Epoch 286/1001:  11%|█         | 1/9 [00:00<00:01,  7.18it/s, Loss=0.238]
+Epoch 286/1001:  11%|█         | 1/9 [00:00<00:01,  7.18it/s, Loss=0.239]
+Epoch 286/1001:  11%|█         | 1/9 [00:00<00:01,  7.18it/s, Loss=0.241]
+Epoch 286/1001:  11%|█         | 1/9 [00:00<00:01,  7.18it/s, Loss=0.237]
+Epoch 286/1001:  11%|█         | 1/9 [00:00<00:01,  7.18it/s, Loss=0.239]
+Epoch 286/1001:  11%|█         | 1/9 [00:00<00:01,  7.18it/s, Loss=0.236]
+Epoch 286/1001: 100%|██████████| 9/9 [00:00<00:00, 42.78it/s, Loss=0.236]
+Epoch 286/1001: 100%|██████████| 9/9 [00:00<00:00, 29.84it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 287/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 287/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 287/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.238]
+Epoch 287/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.245]
+Epoch 287/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.236]
+Epoch 287/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.232]
+Epoch 287/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.237]
+Epoch 287/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.239]
+Epoch 287/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.237]
+Epoch 287/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.234]
+Epoch 287/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.242]
+Epoch 287/1001: 100%|██████████| 9/9 [00:00<00:00, 26.08it/s, Loss=0.242]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 288/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 288/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.239]
+Epoch 288/1001:  11%|█         | 1/9 [00:00<00:01,  5.60it/s, Loss=0.239]
+Epoch 288/1001:  11%|█         | 1/9 [00:00<00:01,  5.60it/s, Loss=0.238]
+Epoch 288/1001:  11%|█         | 1/9 [00:00<00:01,  5.60it/s, Loss=0.233]
+Epoch 288/1001:  11%|█         | 1/9 [00:00<00:01,  5.60it/s, Loss=0.24] 
+Epoch 288/1001:  11%|█         | 1/9 [00:00<00:01,  5.60it/s, Loss=0.235]
+Epoch 288/1001:  11%|█         | 1/9 [00:00<00:01,  5.60it/s, Loss=0.239]
+Epoch 288/1001:  11%|█         | 1/9 [00:00<00:01,  5.60it/s, Loss=0.239]
+Epoch 288/1001:  11%|█         | 1/9 [00:00<00:01,  5.60it/s, Loss=0.24] 
+Epoch 288/1001:  11%|█         | 1/9 [00:00<00:01,  5.60it/s, Loss=0.241]
+Epoch 288/1001: 100%|██████████| 9/9 [00:00<00:00, 29.62it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 289/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 289/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 289/1001:  11%|█         | 1/9 [00:00<00:02,  3.17it/s, Loss=0.231]
+Epoch 289/1001:  11%|█         | 1/9 [00:00<00:02,  3.17it/s, Loss=0.246]
+Epoch 289/1001:  11%|█         | 1/9 [00:00<00:02,  3.17it/s, Loss=0.239]
+Epoch 289/1001:  11%|█         | 1/9 [00:00<00:02,  3.17it/s, Loss=0.237]
+Epoch 289/1001:  11%|█         | 1/9 [00:00<00:02,  3.17it/s, Loss=0.239]
+Epoch 289/1001:  11%|█         | 1/9 [00:00<00:02,  3.17it/s, Loss=0.246]
+Epoch 289/1001:  11%|█         | 1/9 [00:00<00:02,  3.17it/s, Loss=0.244]
+Epoch 289/1001:  11%|█         | 1/9 [00:00<00:02,  3.17it/s, Loss=0.241]
+Epoch 289/1001:  89%|████████▉ | 8/9 [00:00<00:00, 23.45it/s, Loss=0.241]
+Epoch 289/1001:  89%|████████▉ | 8/9 [00:00<00:00, 23.45it/s, Loss=0.236]
+Epoch 289/1001: 100%|██████████| 9/9 [00:00<00:00, 18.16it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 290/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 290/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 290/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.237]
+Epoch 290/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.235]
+Epoch 290/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.238]
+Epoch 290/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.234]
+Epoch 290/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.235]
+Epoch 290/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.243]
+Epoch 290/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.232]
+Epoch 290/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.237]
+Epoch 290/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.234]
+Epoch 290/1001: 100%|██████████| 9/9 [00:00<00:00, 22.11it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 291/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 291/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 291/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.236]
+Epoch 291/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.243]
+Epoch 291/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.239]
+Epoch 291/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.24] 
+Epoch 291/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.235]
+Epoch 291/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.24] 
+Epoch 291/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.235]
+Epoch 291/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.233]
+Epoch 291/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.243]
+Epoch 291/1001: 100%|██████████| 9/9 [00:00<00:00, 20.27it/s, Loss=0.243]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 292/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 292/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.24]
+Epoch 292/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.24]
+Epoch 292/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.239]
+Epoch 292/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.243]
+Epoch 292/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.24] 
+Epoch 292/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.24]
+Epoch 292/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.235]
+Epoch 292/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.24] 
+Epoch 292/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.238]
+Epoch 292/1001:  89%|████████▉ | 8/9 [00:00<00:00, 29.26it/s, Loss=0.238]
+Epoch 292/1001:  89%|████████▉ | 8/9 [00:00<00:00, 29.26it/s, Loss=0.238]
+Epoch 292/1001: 100%|██████████| 9/9 [00:00<00:00, 21.95it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 293/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 293/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 293/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.237]
+Epoch 293/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.237]
+Epoch 293/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.239]
+Epoch 293/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.242]
+Epoch 293/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.237]
+Epoch 293/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.244]
+Epoch 293/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.235]
+Epoch 293/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.237]
+Epoch 293/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.242]
+Epoch 293/1001: 100%|██████████| 9/9 [00:00<00:00, 21.91it/s, Loss=0.242]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 294/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 294/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.24]
+Epoch 294/1001:  11%|█         | 1/9 [00:00<00:01,  4.08it/s, Loss=0.24]
+Epoch 294/1001:  11%|█         | 1/9 [00:00<00:01,  4.08it/s, Loss=0.238]
+Epoch 294/1001:  11%|█         | 1/9 [00:00<00:01,  4.08it/s, Loss=0.24] 
+Epoch 294/1001:  11%|█         | 1/9 [00:00<00:01,  4.08it/s, Loss=0.239]
+Epoch 294/1001:  11%|█         | 1/9 [00:00<00:01,  4.08it/s, Loss=0.24] 
+Epoch 294/1001:  11%|█         | 1/9 [00:00<00:01,  4.08it/s, Loss=0.235]
+Epoch 294/1001:  11%|█         | 1/9 [00:00<00:01,  4.08it/s, Loss=0.241]
+Epoch 294/1001:  11%|█         | 1/9 [00:00<00:01,  4.08it/s, Loss=0.24] 
+Epoch 294/1001:  11%|█         | 1/9 [00:00<00:01,  4.08it/s, Loss=0.239]
+Epoch 294/1001: 100%|██████████| 9/9 [00:00<00:00, 22.20it/s, Loss=0.239]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 295/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 295/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 295/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.236]
+Epoch 295/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.233]
+Epoch 295/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.23] 
+Epoch 295/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.243]
+Epoch 295/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.237]
+Epoch 295/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.236]
+Epoch 295/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.24] 
+Epoch 295/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.237]
+Epoch 295/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.236]
+Epoch 295/1001: 100%|██████████| 9/9 [00:00<00:00, 21.73it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 296/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 296/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.239]
+Epoch 296/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.239]
+Epoch 296/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.242]
+Epoch 296/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.241]
+Epoch 296/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.24] 
+Epoch 296/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.242]
+Epoch 296/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.237]
+Epoch 296/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.234]
+Epoch 296/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.236]
+Epoch 296/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.23] 
+Epoch 296/1001: 100%|██████████| 9/9 [00:00<00:00, 21.78it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 297/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 297/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.241]
+Epoch 297/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.241]
+Epoch 297/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.239]
+Epoch 297/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.235]
+Epoch 297/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.238]
+Epoch 297/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.238]
+Epoch 297/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.246]
+Epoch 297/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.24] 
+Epoch 297/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.235]
+Epoch 297/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.24] 
+Epoch 297/1001: 100%|██████████| 9/9 [00:00<00:00, 34.72it/s, Loss=0.24]
+Epoch 297/1001: 100%|██████████| 9/9 [00:00<00:00, 24.15it/s, Loss=0.24]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 298/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 298/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 298/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.236]
+Epoch 298/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.236]
+Epoch 298/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.241]
+Epoch 298/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.24] 
+Epoch 298/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.242]
+Epoch 298/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.24] 
+Epoch 298/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.24]
+Epoch 298/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.241]
+Epoch 298/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.24] 
+Epoch 298/1001: 100%|██████████| 9/9 [00:00<00:00, 21.64it/s, Loss=0.24]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 299/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 299/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 299/1001:  11%|█         | 1/9 [00:00<00:01,  4.95it/s, Loss=0.238]
+Epoch 299/1001:  11%|█         | 1/9 [00:00<00:01,  4.95it/s, Loss=0.233]
+Epoch 299/1001:  11%|█         | 1/9 [00:00<00:01,  4.95it/s, Loss=0.228]
+Epoch 299/1001:  11%|█         | 1/9 [00:00<00:01,  4.95it/s, Loss=0.24] 
+Epoch 299/1001:  11%|█         | 1/9 [00:00<00:01,  4.95it/s, Loss=0.238]
+Epoch 299/1001:  11%|█         | 1/9 [00:00<00:01,  4.95it/s, Loss=0.235]
+Epoch 299/1001:  11%|█         | 1/9 [00:00<00:01,  4.95it/s, Loss=0.238]
+Epoch 299/1001:  11%|█         | 1/9 [00:00<00:01,  4.95it/s, Loss=0.238]
+Epoch 299/1001:  11%|█         | 1/9 [00:00<00:01,  4.95it/s, Loss=0.236]
+Epoch 299/1001: 100%|██████████| 9/9 [00:00<00:00, 27.83it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 300/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 300/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 300/1001:  11%|█         | 1/9 [00:00<00:02,  3.14it/s, Loss=0.235]
+Epoch 300/1001:  11%|█         | 1/9 [00:00<00:02,  3.14it/s, Loss=0.236]
+Epoch 300/1001:  11%|█         | 1/9 [00:00<00:02,  3.14it/s, Loss=0.235]
+Epoch 300/1001:  11%|█         | 1/9 [00:00<00:02,  3.14it/s, Loss=0.24] 
+Epoch 300/1001:  11%|█         | 1/9 [00:00<00:02,  3.14it/s, Loss=0.235]
+Epoch 300/1001:  11%|█         | 1/9 [00:00<00:02,  3.14it/s, Loss=0.237]
+Epoch 300/1001:  11%|█         | 1/9 [00:00<00:02,  3.14it/s, Loss=0.237]
+Epoch 300/1001:  11%|█         | 1/9 [00:00<00:02,  3.14it/s, Loss=0.236]
+Epoch 300/1001:  11%|█         | 1/9 [00:00<00:02,  3.14it/s, Loss=0.243]
+Epoch 300/1001: 100%|██████████| 9/9 [00:00<00:00, 18.83it/s, Loss=0.243]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 301/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 301/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 301/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.238]
+Epoch 301/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.232]
+Epoch 301/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.241]
+Epoch 301/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.243]
+Epoch 301/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.24] 
+Epoch 301/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.239]
+Epoch 301/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.24] 
+Epoch 301/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.24]
+Epoch 301/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.235]
+Epoch 301/1001: 100%|██████████| 9/9 [00:00<00:00, 22.66it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 302/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 302/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.239]
+Epoch 302/1001:  11%|█         | 1/9 [00:00<00:02,  3.35it/s, Loss=0.239]
+Epoch 302/1001:  11%|█         | 1/9 [00:00<00:02,  3.35it/s, Loss=0.239]
+Epoch 302/1001:  11%|█         | 1/9 [00:00<00:02,  3.35it/s, Loss=0.241]
+Epoch 302/1001:  11%|█         | 1/9 [00:00<00:02,  3.35it/s, Loss=0.247]
+Epoch 302/1001:  11%|█         | 1/9 [00:00<00:02,  3.35it/s, Loss=0.236]
+Epoch 302/1001:  11%|█         | 1/9 [00:00<00:02,  3.35it/s, Loss=0.238]
+Epoch 302/1001:  11%|█         | 1/9 [00:00<00:02,  3.35it/s, Loss=0.237]
+Epoch 302/1001:  11%|█         | 1/9 [00:00<00:02,  3.35it/s, Loss=0.243]
+Epoch 302/1001:  11%|█         | 1/9 [00:00<00:02,  3.35it/s, Loss=0.241]
+Epoch 302/1001: 100%|██████████| 9/9 [00:00<00:00, 19.29it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 303/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 303/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 303/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.238]
+Epoch 303/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.236]
+Epoch 303/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.24] 
+Epoch 303/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.233]
+Epoch 303/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.243]
+Epoch 303/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.236]
+Epoch 303/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.245]
+Epoch 303/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.239]
+Epoch 303/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.236]
+Epoch 303/1001: 100%|██████████| 9/9 [00:00<00:00, 27.20it/s, Loss=0.236]
+Epoch 303/1001: 100%|██████████| 9/9 [00:00<00:00, 19.07it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 304/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 304/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 304/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.237]
+Epoch 304/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.245]
+Epoch 304/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.242]
+Epoch 304/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.24] 
+Epoch 304/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.24]
+Epoch 304/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.238]
+Epoch 304/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.242]
+Epoch 304/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.243]
+Epoch 304/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.246]
+Epoch 304/1001: 100%|██████████| 9/9 [00:00<00:00, 23.56it/s, Loss=0.246]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 305/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 305/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 305/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.233]
+Epoch 305/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.239]
+Epoch 305/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.241]
+Epoch 305/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.242]
+Epoch 305/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.236]
+Epoch 305/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.24] 
+Epoch 305/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.239]
+Epoch 305/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.236]
+Epoch 305/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.238]
+Epoch 305/1001: 100%|██████████| 9/9 [00:00<00:00, 23.06it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 306/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 306/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 306/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.236]
+Epoch 306/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.243]
+Epoch 306/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.241]
+Epoch 306/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.24] 
+Epoch 306/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.237]
+Epoch 306/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.236]
+Epoch 306/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.237]
+Epoch 306/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.24] 
+Epoch 306/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.236]
+Epoch 306/1001: 100%|██████████| 9/9 [00:00<00:00, 25.21it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 307/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 307/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.239]
+Epoch 307/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.239]
+Epoch 307/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.243]
+Epoch 307/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.238]
+Epoch 307/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.24] 
+Epoch 307/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.238]
+Epoch 307/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.241]
+Epoch 307/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.239]
+Epoch 307/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.245]
+Epoch 307/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.29it/s, Loss=0.245]
+Epoch 307/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.29it/s, Loss=0.244]
+Epoch 307/1001: 100%|██████████| 9/9 [00:00<00:00, 21.49it/s, Loss=0.244]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 308/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 308/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.239]
+Epoch 308/1001:  11%|█         | 1/9 [00:00<00:01,  4.92it/s, Loss=0.239]
+Epoch 308/1001:  11%|█         | 1/9 [00:00<00:01,  4.92it/s, Loss=0.244]
+Epoch 308/1001:  11%|█         | 1/9 [00:00<00:01,  4.92it/s, Loss=0.242]
+Epoch 308/1001:  11%|█         | 1/9 [00:00<00:01,  4.92it/s, Loss=0.241]
+Epoch 308/1001:  11%|█         | 1/9 [00:00<00:01,  4.92it/s, Loss=0.241]
+Epoch 308/1001:  11%|█         | 1/9 [00:00<00:01,  4.92it/s, Loss=0.239]
+Epoch 308/1001:  11%|█         | 1/9 [00:00<00:01,  4.92it/s, Loss=0.241]
+Epoch 308/1001:  11%|█         | 1/9 [00:00<00:01,  4.92it/s, Loss=0.237]
+Epoch 308/1001:  11%|█         | 1/9 [00:00<00:01,  4.92it/s, Loss=0.237]
+Epoch 308/1001: 100%|██████████| 9/9 [00:00<00:00, 25.87it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 309/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 309/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 309/1001:  11%|█         | 1/9 [00:00<00:02,  3.37it/s, Loss=0.234]
+Epoch 309/1001:  11%|█         | 1/9 [00:00<00:02,  3.37it/s, Loss=0.239]
+Epoch 309/1001:  11%|█         | 1/9 [00:00<00:02,  3.37it/s, Loss=0.241]
+Epoch 309/1001:  11%|█         | 1/9 [00:00<00:02,  3.37it/s, Loss=0.239]
+Epoch 309/1001:  11%|█         | 1/9 [00:00<00:02,  3.37it/s, Loss=0.242]
+Epoch 309/1001:  11%|█         | 1/9 [00:00<00:02,  3.37it/s, Loss=0.24] 
+Epoch 309/1001:  11%|█         | 1/9 [00:00<00:02,  3.37it/s, Loss=0.235]
+Epoch 309/1001:  11%|█         | 1/9 [00:00<00:02,  3.37it/s, Loss=0.233]
+Epoch 309/1001:  11%|█         | 1/9 [00:00<00:02,  3.37it/s, Loss=0.235]
+Epoch 309/1001: 100%|██████████| 9/9 [00:00<00:00, 21.35it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 310/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 310/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.244]
+Epoch 310/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.244]
+Epoch 310/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.238]
+Epoch 310/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.234]
+Epoch 310/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.239]
+Epoch 310/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.235]
+Epoch 310/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.235]
+Epoch 310/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.242]
+Epoch 310/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.237]
+Epoch 310/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.23] 
+Epoch 310/1001: 100%|██████████| 9/9 [00:00<00:00, 22.71it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 311/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 311/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 311/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.235]
+Epoch 311/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.237]
+Epoch 311/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.236]
+Epoch 311/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.238]
+Epoch 311/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.239]
+Epoch 311/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.234]
+Epoch 311/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.244]
+Epoch 311/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.239]
+Epoch 311/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.234]
+Epoch 311/1001: 100%|██████████| 9/9 [00:00<00:00, 29.67it/s, Loss=0.234]
+Epoch 311/1001: 100%|██████████| 9/9 [00:00<00:00, 20.39it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 312/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 312/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.245]
+Epoch 312/1001:  11%|█         | 1/9 [00:00<00:02,  3.22it/s, Loss=0.245]
+Epoch 312/1001:  11%|█         | 1/9 [00:00<00:02,  3.22it/s, Loss=0.241]
+Epoch 312/1001:  11%|█         | 1/9 [00:00<00:02,  3.22it/s, Loss=0.238]
+Epoch 312/1001:  11%|█         | 1/9 [00:00<00:02,  3.22it/s, Loss=0.239]
+Epoch 312/1001:  11%|█         | 1/9 [00:00<00:02,  3.22it/s, Loss=0.236]
+Epoch 312/1001:  11%|█         | 1/9 [00:00<00:02,  3.22it/s, Loss=0.238]
+Epoch 312/1001:  11%|█         | 1/9 [00:00<00:02,  3.22it/s, Loss=0.237]
+Epoch 312/1001:  11%|█         | 1/9 [00:00<00:02,  3.22it/s, Loss=0.235]
+Epoch 312/1001:  89%|████████▉ | 8/9 [00:00<00:00, 23.32it/s, Loss=0.235]
+Epoch 312/1001:  89%|████████▉ | 8/9 [00:00<00:00, 23.32it/s, Loss=0.228]
+Epoch 312/1001: 100%|██████████| 9/9 [00:00<00:00, 18.03it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 313/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 313/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.24]
+Epoch 313/1001:  11%|█         | 1/9 [00:00<00:03,  2.44it/s, Loss=0.24]
+Epoch 313/1001:  11%|█         | 1/9 [00:00<00:03,  2.44it/s, Loss=0.244]
+Epoch 313/1001:  11%|█         | 1/9 [00:00<00:03,  2.44it/s, Loss=0.242]
+Epoch 313/1001:  11%|█         | 1/9 [00:00<00:03,  2.44it/s, Loss=0.228]
+Epoch 313/1001:  11%|█         | 1/9 [00:00<00:03,  2.44it/s, Loss=0.24] 
+Epoch 313/1001:  11%|█         | 1/9 [00:00<00:03,  2.44it/s, Loss=0.237]
+Epoch 313/1001:  11%|█         | 1/9 [00:00<00:03,  2.44it/s, Loss=0.234]
+Epoch 313/1001:  78%|███████▊  | 7/9 [00:00<00:00, 17.03it/s, Loss=0.234]
+Epoch 313/1001:  78%|███████▊  | 7/9 [00:00<00:00, 17.03it/s, Loss=0.241]
+Epoch 313/1001:  78%|███████▊  | 7/9 [00:00<00:00, 17.03it/s, Loss=0.241]
+Epoch 313/1001: 100%|██████████| 9/9 [00:00<00:00, 14.51it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 314/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 314/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 314/1001:  11%|█         | 1/9 [00:00<00:03,  2.03it/s, Loss=0.234]
+Epoch 314/1001:  11%|█         | 1/9 [00:00<00:03,  2.03it/s, Loss=0.241]
+Epoch 314/1001:  11%|█         | 1/9 [00:00<00:03,  2.03it/s, Loss=0.241]
+Epoch 314/1001:  11%|█         | 1/9 [00:00<00:03,  2.03it/s, Loss=0.236]
+Epoch 314/1001:  11%|█         | 1/9 [00:00<00:03,  2.03it/s, Loss=0.239]
+Epoch 314/1001:  11%|█         | 1/9 [00:00<00:03,  2.03it/s, Loss=0.244]
+Epoch 314/1001:  11%|█         | 1/9 [00:00<00:03,  2.03it/s, Loss=0.241]
+Epoch 314/1001:  11%|█         | 1/9 [00:00<00:03,  2.03it/s, Loss=0.236]
+Epoch 314/1001:  11%|█         | 1/9 [00:00<00:03,  2.03it/s, Loss=0.239]
+Epoch 314/1001: 100%|██████████| 9/9 [00:00<00:00, 13.44it/s, Loss=0.239]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 315/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 315/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 315/1001:  11%|█         | 1/9 [00:00<00:03,  2.20it/s, Loss=0.234]
+Epoch 315/1001:  11%|█         | 1/9 [00:00<00:03,  2.20it/s, Loss=0.238]
+Epoch 315/1001:  11%|█         | 1/9 [00:00<00:03,  2.20it/s, Loss=0.241]
+Epoch 315/1001:  11%|█         | 1/9 [00:00<00:03,  2.20it/s, Loss=0.243]
+Epoch 315/1001:  11%|█         | 1/9 [00:00<00:03,  2.20it/s, Loss=0.241]
+Epoch 315/1001:  11%|█         | 1/9 [00:00<00:03,  2.20it/s, Loss=0.237]
+Epoch 315/1001:  11%|█         | 1/9 [00:00<00:03,  2.20it/s, Loss=0.24] 
+Epoch 315/1001:  11%|█         | 1/9 [00:00<00:03,  2.20it/s, Loss=0.232]
+Epoch 315/1001:  11%|█         | 1/9 [00:00<00:03,  2.20it/s, Loss=0.234]
+Epoch 315/1001: 100%|██████████| 9/9 [00:00<00:00, 14.06it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 316/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 316/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 316/1001:  11%|█         | 1/9 [00:00<00:03,  2.20it/s, Loss=0.237]
+Epoch 316/1001:  11%|█         | 1/9 [00:00<00:03,  2.20it/s, Loss=0.236]
+Epoch 316/1001:  11%|█         | 1/9 [00:00<00:03,  2.20it/s, Loss=0.243]
+Epoch 316/1001:  11%|█         | 1/9 [00:00<00:03,  2.20it/s, Loss=0.231]
+Epoch 316/1001:  11%|█         | 1/9 [00:00<00:03,  2.20it/s, Loss=0.238]
+Epoch 316/1001:  11%|█         | 1/9 [00:00<00:03,  2.20it/s, Loss=0.238]
+Epoch 316/1001:  11%|█         | 1/9 [00:00<00:03,  2.20it/s, Loss=0.237]
+Epoch 316/1001:  11%|█         | 1/9 [00:00<00:03,  2.20it/s, Loss=0.237]
+Epoch 316/1001:  11%|█         | 1/9 [00:00<00:03,  2.20it/s, Loss=0.24] 
+Epoch 316/1001: 100%|██████████| 9/9 [00:00<00:00, 13.91it/s, Loss=0.24]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 317/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 317/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.243]
+Epoch 317/1001:  11%|█         | 1/9 [00:00<00:03,  2.11it/s, Loss=0.243]
+Epoch 317/1001:  11%|█         | 1/9 [00:00<00:03,  2.11it/s, Loss=0.235]
+Epoch 317/1001:  11%|█         | 1/9 [00:00<00:03,  2.11it/s, Loss=0.235]
+Epoch 317/1001:  11%|█         | 1/9 [00:00<00:03,  2.11it/s, Loss=0.233]
+Epoch 317/1001:  11%|█         | 1/9 [00:00<00:03,  2.11it/s, Loss=0.235]
+Epoch 317/1001:  11%|█         | 1/9 [00:00<00:03,  2.11it/s, Loss=0.235]
+Epoch 317/1001:  11%|█         | 1/9 [00:00<00:03,  2.11it/s, Loss=0.244]
+Epoch 317/1001:  11%|█         | 1/9 [00:00<00:03,  2.11it/s, Loss=0.239]
+Epoch 317/1001:  11%|█         | 1/9 [00:00<00:03,  2.11it/s, Loss=0.241]
+Epoch 317/1001: 100%|██████████| 9/9 [00:00<00:00, 19.69it/s, Loss=0.241]
+Epoch 317/1001: 100%|██████████| 9/9 [00:00<00:00, 13.08it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 318/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 318/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.243]
+Epoch 318/1001:  11%|█         | 1/9 [00:00<00:04,  1.68it/s, Loss=0.243]
+Epoch 318/1001:  11%|█         | 1/9 [00:00<00:04,  1.68it/s, Loss=0.233]
+Epoch 318/1001:  11%|█         | 1/9 [00:00<00:04,  1.68it/s, Loss=0.236]
+Epoch 318/1001:  11%|█         | 1/9 [00:00<00:04,  1.68it/s, Loss=0.24] 
+Epoch 318/1001:  11%|█         | 1/9 [00:00<00:04,  1.68it/s, Loss=0.241]
+Epoch 318/1001:  11%|█         | 1/9 [00:00<00:04,  1.68it/s, Loss=0.242]
+Epoch 318/1001:  11%|█         | 1/9 [00:00<00:04,  1.68it/s, Loss=0.241]
+Epoch 318/1001:  78%|███████▊  | 7/9 [00:00<00:00, 12.96it/s, Loss=0.241]
+Epoch 318/1001:  78%|███████▊  | 7/9 [00:00<00:00, 12.96it/s, Loss=0.234]
+Epoch 318/1001:  78%|███████▊  | 7/9 [00:00<00:00, 12.96it/s, Loss=0.231]
+Epoch 318/1001: 100%|██████████| 9/9 [00:00<00:00, 11.07it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 319/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 319/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 319/1001:  11%|█         | 1/9 [00:00<00:03,  2.40it/s, Loss=0.233]
+Epoch 319/1001:  11%|█         | 1/9 [00:00<00:03,  2.40it/s, Loss=0.233]
+Epoch 319/1001:  11%|█         | 1/9 [00:00<00:03,  2.40it/s, Loss=0.243]
+Epoch 319/1001:  11%|█         | 1/9 [00:00<00:03,  2.40it/s, Loss=0.239]
+Epoch 319/1001:  11%|█         | 1/9 [00:00<00:03,  2.40it/s, Loss=0.238]
+Epoch 319/1001:  11%|█         | 1/9 [00:00<00:03,  2.40it/s, Loss=0.237]
+Epoch 319/1001:  67%|██████▋   | 6/9 [00:00<00:00, 14.39it/s, Loss=0.237]
+Epoch 319/1001:  67%|██████▋   | 6/9 [00:00<00:00, 14.39it/s, Loss=0.242]
+Epoch 319/1001:  67%|██████▋   | 6/9 [00:00<00:00, 14.39it/s, Loss=0.232]
+Epoch 319/1001:  67%|██████▋   | 6/9 [00:00<00:00, 14.39it/s, Loss=0.237]
+Epoch 319/1001: 100%|██████████| 9/9 [00:00<00:00, 13.77it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 320/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 320/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 320/1001:  11%|█         | 1/9 [00:00<00:03,  2.36it/s, Loss=0.23]
+Epoch 320/1001:  11%|█         | 1/9 [00:00<00:03,  2.36it/s, Loss=0.242]
+Epoch 320/1001:  11%|█         | 1/9 [00:00<00:03,  2.36it/s, Loss=0.239]
+Epoch 320/1001:  11%|█         | 1/9 [00:00<00:03,  2.36it/s, Loss=0.233]
+Epoch 320/1001:  11%|█         | 1/9 [00:00<00:03,  2.36it/s, Loss=0.24] 
+Epoch 320/1001:  11%|█         | 1/9 [00:00<00:03,  2.36it/s, Loss=0.234]
+Epoch 320/1001:  11%|█         | 1/9 [00:00<00:03,  2.36it/s, Loss=0.234]
+Epoch 320/1001:  11%|█         | 1/9 [00:00<00:03,  2.36it/s, Loss=0.238]
+Epoch 320/1001:  89%|████████▉ | 8/9 [00:00<00:00, 19.25it/s, Loss=0.238]
+Epoch 320/1001:  89%|████████▉ | 8/9 [00:00<00:00, 19.25it/s, Loss=0.234]
+Epoch 320/1001: 100%|██████████| 9/9 [00:00<00:00, 14.81it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 321/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 321/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 321/1001:  11%|█         | 1/9 [00:00<00:03,  2.46it/s, Loss=0.234]
+Epoch 321/1001:  11%|█         | 1/9 [00:00<00:03,  2.46it/s, Loss=0.242]
+Epoch 321/1001:  11%|█         | 1/9 [00:00<00:03,  2.46it/s, Loss=0.239]
+Epoch 321/1001:  11%|█         | 1/9 [00:00<00:03,  2.46it/s, Loss=0.239]
+Epoch 321/1001:  11%|█         | 1/9 [00:00<00:03,  2.46it/s, Loss=0.236]
+Epoch 321/1001:  11%|█         | 1/9 [00:00<00:03,  2.46it/s, Loss=0.241]
+Epoch 321/1001:  11%|█         | 1/9 [00:00<00:03,  2.46it/s, Loss=0.234]
+Epoch 321/1001:  11%|█         | 1/9 [00:00<00:03,  2.46it/s, Loss=0.24] 
+Epoch 321/1001:  89%|████████▉ | 8/9 [00:00<00:00, 19.81it/s, Loss=0.24]
+Epoch 321/1001:  89%|████████▉ | 8/9 [00:00<00:00, 19.81it/s, Loss=0.237]
+Epoch 321/1001: 100%|██████████| 9/9 [00:00<00:00, 14.65it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 322/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 322/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 322/1001:  11%|█         | 1/9 [00:00<00:03,  2.43it/s, Loss=0.23]
+Epoch 322/1001:  11%|█         | 1/9 [00:00<00:03,  2.43it/s, Loss=0.238]
+Epoch 322/1001:  11%|█         | 1/9 [00:00<00:03,  2.43it/s, Loss=0.236]
+Epoch 322/1001:  11%|█         | 1/9 [00:00<00:03,  2.43it/s, Loss=0.233]
+Epoch 322/1001:  11%|█         | 1/9 [00:00<00:03,  2.43it/s, Loss=0.235]
+Epoch 322/1001:  11%|█         | 1/9 [00:00<00:03,  2.43it/s, Loss=0.236]
+Epoch 322/1001:  11%|█         | 1/9 [00:00<00:03,  2.43it/s, Loss=0.24] 
+Epoch 322/1001:  11%|█         | 1/9 [00:00<00:03,  2.43it/s, Loss=0.238]
+Epoch 322/1001:  11%|█         | 1/9 [00:00<00:03,  2.43it/s, Loss=0.232]
+Epoch 322/1001: 100%|██████████| 9/9 [00:00<00:00, 15.28it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 323/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 323/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 323/1001:  11%|█         | 1/9 [00:00<00:02,  2.68it/s, Loss=0.238]
+Epoch 323/1001:  11%|█         | 1/9 [00:00<00:02,  2.68it/s, Loss=0.241]
+Epoch 323/1001:  11%|█         | 1/9 [00:00<00:02,  2.68it/s, Loss=0.24] 
+Epoch 323/1001:  11%|█         | 1/9 [00:00<00:02,  2.68it/s, Loss=0.235]
+Epoch 323/1001:  11%|█         | 1/9 [00:00<00:02,  2.68it/s, Loss=0.237]
+Epoch 323/1001:  11%|█         | 1/9 [00:00<00:02,  2.68it/s, Loss=0.235]
+Epoch 323/1001:  11%|█         | 1/9 [00:00<00:02,  2.68it/s, Loss=0.239]
+Epoch 323/1001:  11%|█         | 1/9 [00:00<00:02,  2.68it/s, Loss=0.237]
+Epoch 323/1001:  11%|█         | 1/9 [00:00<00:02,  2.68it/s, Loss=0.24] 
+Epoch 323/1001: 100%|██████████| 9/9 [00:00<00:00, 23.76it/s, Loss=0.24]
+Epoch 323/1001: 100%|██████████| 9/9 [00:00<00:00, 16.20it/s, Loss=0.24]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 324/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 324/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 324/1001:  11%|█         | 1/9 [00:00<00:02,  2.97it/s, Loss=0.236]
+Epoch 324/1001:  11%|█         | 1/9 [00:00<00:02,  2.97it/s, Loss=0.24] 
+Epoch 324/1001:  11%|█         | 1/9 [00:00<00:02,  2.97it/s, Loss=0.242]
+Epoch 324/1001:  11%|█         | 1/9 [00:00<00:02,  2.97it/s, Loss=0.242]
+Epoch 324/1001:  11%|█         | 1/9 [00:00<00:02,  2.97it/s, Loss=0.242]
+Epoch 324/1001:  11%|█         | 1/9 [00:00<00:02,  2.97it/s, Loss=0.24] 
+Epoch 324/1001:  11%|█         | 1/9 [00:00<00:02,  2.97it/s, Loss=0.235]
+Epoch 324/1001:  11%|█         | 1/9 [00:00<00:02,  2.97it/s, Loss=0.234]
+Epoch 324/1001:  11%|█         | 1/9 [00:00<00:02,  2.97it/s, Loss=0.235]
+Epoch 324/1001: 100%|██████████| 9/9 [00:00<00:00, 25.45it/s, Loss=0.235]
+Epoch 324/1001: 100%|██████████| 9/9 [00:00<00:00, 17.19it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 325/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 325/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 325/1001:  11%|█         | 1/9 [00:00<00:03,  2.09it/s, Loss=0.234]
+Epoch 325/1001:  11%|█         | 1/9 [00:00<00:03,  2.09it/s, Loss=0.236]
+Epoch 325/1001:  11%|█         | 1/9 [00:00<00:03,  2.09it/s, Loss=0.234]
+Epoch 325/1001:  11%|█         | 1/9 [00:00<00:03,  2.09it/s, Loss=0.231]
+Epoch 325/1001:  11%|█         | 1/9 [00:00<00:03,  2.09it/s, Loss=0.236]
+Epoch 325/1001:  11%|█         | 1/9 [00:00<00:03,  2.09it/s, Loss=0.236]
+Epoch 325/1001:  11%|█         | 1/9 [00:00<00:03,  2.09it/s, Loss=0.231]
+Epoch 325/1001:  11%|█         | 1/9 [00:00<00:03,  2.09it/s, Loss=0.231]
+Epoch 325/1001:  89%|████████▉ | 8/9 [00:00<00:00, 17.53it/s, Loss=0.231]
+Epoch 325/1001:  89%|████████▉ | 8/9 [00:00<00:00, 17.53it/s, Loss=0.237]
+Epoch 325/1001: 100%|██████████| 9/9 [00:00<00:00, 13.51it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 326/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 326/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 326/1001:  11%|█         | 1/9 [00:00<00:03,  2.19it/s, Loss=0.233]
+Epoch 326/1001:  11%|█         | 1/9 [00:00<00:03,  2.19it/s, Loss=0.237]
+Epoch 326/1001:  11%|█         | 1/9 [00:00<00:03,  2.19it/s, Loss=0.245]
+Epoch 326/1001:  11%|█         | 1/9 [00:00<00:03,  2.19it/s, Loss=0.241]
+Epoch 326/1001:  11%|█         | 1/9 [00:00<00:03,  2.19it/s, Loss=0.24] 
+Epoch 326/1001:  11%|█         | 1/9 [00:00<00:03,  2.19it/s, Loss=0.238]
+Epoch 326/1001:  11%|█         | 1/9 [00:00<00:03,  2.19it/s, Loss=0.237]
+Epoch 326/1001:  11%|█         | 1/9 [00:00<00:03,  2.19it/s, Loss=0.236]
+Epoch 326/1001:  11%|█         | 1/9 [00:00<00:03,  2.19it/s, Loss=0.242]
+Epoch 326/1001: 100%|██████████| 9/9 [00:00<00:00, 14.52it/s, Loss=0.242]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 327/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 327/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 327/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.237]
+Epoch 327/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.233]
+Epoch 327/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.236]
+Epoch 327/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.239]
+Epoch 327/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.244]
+Epoch 327/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.235]
+Epoch 327/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.233]
+Epoch 327/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.244]
+Epoch 327/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.237]
+Epoch 327/1001: 100%|██████████| 9/9 [00:00<00:00, 21.42it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 328/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 328/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.239]
+Epoch 328/1001:  11%|█         | 1/9 [00:00<00:02,  3.99it/s, Loss=0.239]
+Epoch 328/1001:  11%|█         | 1/9 [00:00<00:02,  3.99it/s, Loss=0.242]
+Epoch 328/1001:  11%|█         | 1/9 [00:00<00:02,  3.99it/s, Loss=0.234]
+Epoch 328/1001:  11%|█         | 1/9 [00:00<00:02,  3.99it/s, Loss=0.237]
+Epoch 328/1001:  11%|█         | 1/9 [00:00<00:02,  3.99it/s, Loss=0.238]
+Epoch 328/1001:  11%|█         | 1/9 [00:00<00:02,  3.99it/s, Loss=0.23] 
+Epoch 328/1001:  11%|█         | 1/9 [00:00<00:02,  3.99it/s, Loss=0.236]
+Epoch 328/1001:  11%|█         | 1/9 [00:00<00:02,  3.99it/s, Loss=0.236]
+Epoch 328/1001:  11%|█         | 1/9 [00:00<00:02,  3.99it/s, Loss=0.238]
+Epoch 328/1001: 100%|██████████| 9/9 [00:00<00:00, 21.90it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 329/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 329/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 329/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.237]
+Epoch 329/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.239]
+Epoch 329/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.232]
+Epoch 329/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.239]
+Epoch 329/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.239]
+Epoch 329/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.239]
+Epoch 329/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.237]
+Epoch 329/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.238]
+Epoch 329/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.241]
+Epoch 329/1001: 100%|██████████| 9/9 [00:00<00:00, 31.57it/s, Loss=0.241]
+Epoch 329/1001: 100%|██████████| 9/9 [00:00<00:00, 22.84it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 330/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 330/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.241]
+Epoch 330/1001:  11%|█         | 1/9 [00:00<00:01,  5.35it/s, Loss=0.241]
+Epoch 330/1001:  11%|█         | 1/9 [00:00<00:01,  5.35it/s, Loss=0.24] 
+Epoch 330/1001:  11%|█         | 1/9 [00:00<00:01,  5.35it/s, Loss=0.24]
+Epoch 330/1001:  11%|█         | 1/9 [00:00<00:01,  5.35it/s, Loss=0.245]
+Epoch 330/1001:  11%|█         | 1/9 [00:00<00:01,  5.35it/s, Loss=0.238]
+Epoch 330/1001:  11%|█         | 1/9 [00:00<00:01,  5.35it/s, Loss=0.236]
+Epoch 330/1001:  11%|█         | 1/9 [00:00<00:01,  5.35it/s, Loss=0.231]
+Epoch 330/1001:  11%|█         | 1/9 [00:00<00:01,  5.35it/s, Loss=0.239]
+Epoch 330/1001:  11%|█         | 1/9 [00:00<00:01,  5.35it/s, Loss=0.234]
+Epoch 330/1001: 100%|██████████| 9/9 [00:00<00:00, 27.27it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 331/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 331/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.239]
+Epoch 331/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.239]
+Epoch 331/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.239]
+Epoch 331/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.238]
+Epoch 331/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.238]
+Epoch 331/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.243]
+Epoch 331/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.238]
+Epoch 331/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.238]
+Epoch 331/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.238]
+Epoch 331/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.29it/s, Loss=0.238]
+Epoch 331/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.29it/s, Loss=0.238]
+Epoch 331/1001: 100%|██████████| 9/9 [00:00<00:00, 19.30it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 332/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 332/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.239]
+Epoch 332/1001:  11%|█         | 1/9 [00:00<00:01,  4.23it/s, Loss=0.239]
+Epoch 332/1001:  11%|█         | 1/9 [00:00<00:01,  4.23it/s, Loss=0.244]
+Epoch 332/1001:  11%|█         | 1/9 [00:00<00:01,  4.23it/s, Loss=0.238]
+Epoch 332/1001:  11%|█         | 1/9 [00:00<00:01,  4.23it/s, Loss=0.238]
+Epoch 332/1001:  11%|█         | 1/9 [00:00<00:01,  4.23it/s, Loss=0.237]
+Epoch 332/1001:  11%|█         | 1/9 [00:00<00:01,  4.23it/s, Loss=0.234]
+Epoch 332/1001:  11%|█         | 1/9 [00:00<00:01,  4.23it/s, Loss=0.233]
+Epoch 332/1001:  11%|█         | 1/9 [00:00<00:01,  4.23it/s, Loss=0.239]
+Epoch 332/1001:  11%|█         | 1/9 [00:00<00:01,  4.23it/s, Loss=0.238]
+Epoch 332/1001: 100%|██████████| 9/9 [00:00<00:00, 23.13it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 333/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 333/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.241]
+Epoch 333/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.241]
+Epoch 333/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.243]
+Epoch 333/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.239]
+Epoch 333/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.242]
+Epoch 333/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.238]
+Epoch 333/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.238]
+Epoch 333/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.239]
+Epoch 333/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.237]
+Epoch 333/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.235]
+Epoch 333/1001: 100%|██████████| 9/9 [00:00<00:00, 22.16it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 334/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 334/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.24]
+Epoch 334/1001:  11%|█         | 1/9 [00:00<00:02,  2.85it/s, Loss=0.24]
+Epoch 334/1001:  11%|█         | 1/9 [00:00<00:02,  2.85it/s, Loss=0.231]
+Epoch 334/1001:  11%|█         | 1/9 [00:00<00:02,  2.85it/s, Loss=0.237]
+Epoch 334/1001:  11%|█         | 1/9 [00:00<00:02,  2.85it/s, Loss=0.234]
+Epoch 334/1001:  11%|█         | 1/9 [00:00<00:02,  2.85it/s, Loss=0.236]
+Epoch 334/1001:  11%|█         | 1/9 [00:00<00:02,  2.85it/s, Loss=0.242]
+Epoch 334/1001:  11%|█         | 1/9 [00:00<00:02,  2.85it/s, Loss=0.24] 
+Epoch 334/1001:  11%|█         | 1/9 [00:00<00:02,  2.85it/s, Loss=0.239]
+Epoch 334/1001:  11%|█         | 1/9 [00:00<00:02,  2.85it/s, Loss=0.236]
+Epoch 334/1001: 100%|██████████| 9/9 [00:00<00:00, 18.08it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 335/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 335/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 335/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.235]
+Epoch 335/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.233]
+Epoch 335/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.234]
+Epoch 335/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.232]
+Epoch 335/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.236]
+Epoch 335/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.233]
+Epoch 335/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.235]
+Epoch 335/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.236]
+Epoch 335/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.246]
+Epoch 335/1001: 100%|██████████| 9/9 [00:00<00:00, 20.07it/s, Loss=0.246]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 336/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 336/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 336/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.235]
+Epoch 336/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.234]
+Epoch 336/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.234]
+Epoch 336/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.24] 
+Epoch 336/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.234]
+Epoch 336/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.236]
+Epoch 336/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.24] 
+Epoch 336/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.235]
+Epoch 336/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.99it/s, Loss=0.235]
+Epoch 336/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.99it/s, Loss=0.238]
+Epoch 336/1001: 100%|██████████| 9/9 [00:00<00:00, 19.04it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 337/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 337/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 337/1001:  11%|█         | 1/9 [00:00<00:02,  2.74it/s, Loss=0.236]
+Epoch 337/1001:  11%|█         | 1/9 [00:00<00:02,  2.74it/s, Loss=0.244]
+Epoch 337/1001:  11%|█         | 1/9 [00:00<00:02,  2.74it/s, Loss=0.239]
+Epoch 337/1001:  11%|█         | 1/9 [00:00<00:02,  2.74it/s, Loss=0.236]
+Epoch 337/1001:  11%|█         | 1/9 [00:00<00:02,  2.74it/s, Loss=0.238]
+Epoch 337/1001:  11%|█         | 1/9 [00:00<00:02,  2.74it/s, Loss=0.236]
+Epoch 337/1001:  11%|█         | 1/9 [00:00<00:02,  2.74it/s, Loss=0.241]
+Epoch 337/1001:  11%|█         | 1/9 [00:00<00:02,  2.74it/s, Loss=0.235]
+Epoch 337/1001:  89%|████████▉ | 8/9 [00:00<00:00, 21.15it/s, Loss=0.235]
+Epoch 337/1001:  89%|████████▉ | 8/9 [00:00<00:00, 21.15it/s, Loss=0.236]
+Epoch 337/1001: 100%|██████████| 9/9 [00:00<00:00, 16.75it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 338/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 338/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 338/1001:  11%|█         | 1/9 [00:00<00:02,  2.98it/s, Loss=0.238]
+Epoch 338/1001:  11%|█         | 1/9 [00:00<00:02,  2.98it/s, Loss=0.24] 
+Epoch 338/1001:  11%|█         | 1/9 [00:00<00:02,  2.98it/s, Loss=0.237]
+Epoch 338/1001:  11%|█         | 1/9 [00:00<00:02,  2.98it/s, Loss=0.236]
+Epoch 338/1001:  11%|█         | 1/9 [00:00<00:02,  2.98it/s, Loss=0.232]
+Epoch 338/1001:  11%|█         | 1/9 [00:00<00:02,  2.98it/s, Loss=0.235]
+Epoch 338/1001:  11%|█         | 1/9 [00:00<00:02,  2.98it/s, Loss=0.234]
+Epoch 338/1001:  11%|█         | 1/9 [00:00<00:02,  2.98it/s, Loss=0.243]
+Epoch 338/1001:  11%|█         | 1/9 [00:00<00:02,  2.98it/s, Loss=0.239]
+Epoch 338/1001: 100%|██████████| 9/9 [00:00<00:00, 25.28it/s, Loss=0.239]
+Epoch 338/1001: 100%|██████████| 9/9 [00:00<00:00, 17.72it/s, Loss=0.239]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 339/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 339/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 339/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.236]
+Epoch 339/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.239]
+Epoch 339/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.247]
+Epoch 339/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.235]
+Epoch 339/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.238]
+Epoch 339/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.234]
+Epoch 339/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.239]
+Epoch 339/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.238]
+Epoch 339/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.44it/s, Loss=0.238]
+Epoch 339/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.44it/s, Loss=0.238]
+Epoch 339/1001: 100%|██████████| 9/9 [00:00<00:00, 19.05it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 340/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 340/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.239]
+Epoch 340/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.239]
+Epoch 340/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.239]
+Epoch 340/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.237]
+Epoch 340/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.229]
+Epoch 340/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.238]
+Epoch 340/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.237]
+Epoch 340/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.24] 
+Epoch 340/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.238]
+Epoch 340/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.243]
+Epoch 340/1001: 100%|██████████| 9/9 [00:00<00:00, 29.95it/s, Loss=0.243]
+Epoch 340/1001: 100%|██████████| 9/9 [00:00<00:00, 20.33it/s, Loss=0.243]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 341/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 341/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 341/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.23]
+Epoch 341/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.237]
+Epoch 341/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.238]
+Epoch 341/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.238]
+Epoch 341/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.24] 
+Epoch 341/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.231]
+Epoch 341/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.238]
+Epoch 341/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.234]
+Epoch 341/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.237]
+Epoch 341/1001: 100%|██████████| 9/9 [00:00<00:00, 21.92it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 342/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 342/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.24]
+Epoch 342/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.24]
+Epoch 342/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.23]
+Epoch 342/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.23]
+Epoch 342/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.237]
+Epoch 342/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.234]
+Epoch 342/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.238]
+Epoch 342/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.237]
+Epoch 342/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.239]
+Epoch 342/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.232]
+Epoch 342/1001: 100%|██████████| 9/9 [00:00<00:00, 24.80it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 343/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 343/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 343/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.237]
+Epoch 343/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.232]
+Epoch 343/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.236]
+Epoch 343/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.236]
+Epoch 343/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.238]
+Epoch 343/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.239]
+Epoch 343/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.236]
+Epoch 343/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.242]
+Epoch 343/1001:  11%|█         | 1/9 [00:00<00:01,  5.13it/s, Loss=0.246]
+Epoch 343/1001: 100%|██████████| 9/9 [00:00<00:00, 26.60it/s, Loss=0.246]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 344/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 344/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 344/1001:  11%|█         | 1/9 [00:00<00:02,  3.99it/s, Loss=0.232]
+Epoch 344/1001:  11%|█         | 1/9 [00:00<00:02,  3.99it/s, Loss=0.233]
+Epoch 344/1001:  11%|█         | 1/9 [00:00<00:02,  3.99it/s, Loss=0.234]
+Epoch 344/1001:  11%|█         | 1/9 [00:00<00:02,  3.99it/s, Loss=0.241]
+Epoch 344/1001:  11%|█         | 1/9 [00:00<00:02,  3.99it/s, Loss=0.239]
+Epoch 344/1001:  11%|█         | 1/9 [00:00<00:02,  3.99it/s, Loss=0.238]
+Epoch 344/1001:  11%|█         | 1/9 [00:00<00:02,  3.99it/s, Loss=0.24] 
+Epoch 344/1001:  11%|█         | 1/9 [00:00<00:02,  3.99it/s, Loss=0.238]
+Epoch 344/1001:  11%|█         | 1/9 [00:00<00:02,  3.99it/s, Loss=0.239]
+Epoch 344/1001: 100%|██████████| 9/9 [00:00<00:00, 31.45it/s, Loss=0.239]
+Epoch 344/1001: 100%|██████████| 9/9 [00:00<00:00, 22.83it/s, Loss=0.239]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 345/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 345/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 345/1001:  11%|█         | 1/9 [00:00<00:01,  4.68it/s, Loss=0.236]
+Epoch 345/1001:  11%|█         | 1/9 [00:00<00:01,  4.68it/s, Loss=0.237]
+Epoch 345/1001:  11%|█         | 1/9 [00:00<00:01,  4.68it/s, Loss=0.235]
+Epoch 345/1001:  11%|█         | 1/9 [00:00<00:01,  4.68it/s, Loss=0.237]
+Epoch 345/1001:  11%|█         | 1/9 [00:00<00:01,  4.68it/s, Loss=0.24] 
+Epoch 345/1001:  11%|█         | 1/9 [00:00<00:01,  4.68it/s, Loss=0.237]
+Epoch 345/1001:  11%|█         | 1/9 [00:00<00:01,  4.68it/s, Loss=0.238]
+Epoch 345/1001:  11%|█         | 1/9 [00:00<00:01,  4.68it/s, Loss=0.237]
+Epoch 345/1001:  11%|█         | 1/9 [00:00<00:01,  4.68it/s, Loss=0.235]
+Epoch 345/1001: 100%|██████████| 9/9 [00:00<00:00, 26.88it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 346/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 346/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 346/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.233]
+Epoch 346/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.233]
+Epoch 346/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.237]
+Epoch 346/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.236]
+Epoch 346/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.236]
+Epoch 346/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.239]
+Epoch 346/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.234]
+Epoch 346/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.234]
+Epoch 346/1001:  89%|████████▉ | 8/9 [00:00<00:00, 27.41it/s, Loss=0.234]
+Epoch 346/1001:  89%|████████▉ | 8/9 [00:00<00:00, 27.41it/s, Loss=0.241]
+Epoch 346/1001: 100%|██████████| 9/9 [00:00<00:00, 17.38it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 347/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 347/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.24]
+Epoch 347/1001:  11%|█         | 1/9 [00:00<00:02,  3.20it/s, Loss=0.24]
+Epoch 347/1001:  11%|█         | 1/9 [00:00<00:02,  3.20it/s, Loss=0.236]
+Epoch 347/1001:  11%|█         | 1/9 [00:00<00:02,  3.20it/s, Loss=0.239]
+Epoch 347/1001:  11%|█         | 1/9 [00:00<00:02,  3.20it/s, Loss=0.235]
+Epoch 347/1001:  11%|█         | 1/9 [00:00<00:02,  3.20it/s, Loss=0.238]
+Epoch 347/1001:  11%|█         | 1/9 [00:00<00:02,  3.20it/s, Loss=0.239]
+Epoch 347/1001:  11%|█         | 1/9 [00:00<00:02,  3.20it/s, Loss=0.235]
+Epoch 347/1001:  11%|█         | 1/9 [00:00<00:02,  3.20it/s, Loss=0.238]
+Epoch 347/1001:  11%|█         | 1/9 [00:00<00:02,  3.20it/s, Loss=0.238]
+Epoch 347/1001: 100%|██████████| 9/9 [00:00<00:00, 21.61it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 348/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 348/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 348/1001:  11%|█         | 1/9 [00:00<00:01,  5.20it/s, Loss=0.236]
+Epoch 348/1001:  11%|█         | 1/9 [00:00<00:01,  5.20it/s, Loss=0.241]
+Epoch 348/1001:  11%|█         | 1/9 [00:00<00:01,  5.20it/s, Loss=0.236]
+Epoch 348/1001:  11%|█         | 1/9 [00:00<00:01,  5.20it/s, Loss=0.233]
+Epoch 348/1001:  11%|█         | 1/9 [00:00<00:01,  5.20it/s, Loss=0.236]
+Epoch 348/1001:  11%|█         | 1/9 [00:00<00:01,  5.20it/s, Loss=0.237]
+Epoch 348/1001:  11%|█         | 1/9 [00:00<00:01,  5.20it/s, Loss=0.24] 
+Epoch 348/1001:  11%|█         | 1/9 [00:00<00:01,  5.20it/s, Loss=0.236]
+Epoch 348/1001:  11%|█         | 1/9 [00:00<00:01,  5.20it/s, Loss=0.244]
+Epoch 348/1001: 100%|██████████| 9/9 [00:00<00:00, 26.35it/s, Loss=0.244]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 349/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 349/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 349/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.237]
+Epoch 349/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.232]
+Epoch 349/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.243]
+Epoch 349/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.231]
+Epoch 349/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.24] 
+Epoch 349/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.239]
+Epoch 349/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.236]
+Epoch 349/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.242]
+Epoch 349/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.238]
+Epoch 349/1001: 100%|██████████| 9/9 [00:00<00:00, 30.23it/s, Loss=0.238]
+Epoch 349/1001: 100%|██████████| 9/9 [00:00<00:00, 21.76it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 350/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 350/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.24]
+Epoch 350/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.24]
+Epoch 350/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.235]
+Epoch 350/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.233]
+Epoch 350/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.236]
+Epoch 350/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.237]
+Epoch 350/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.238]
+Epoch 350/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.233]
+Epoch 350/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.239]
+Epoch 350/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.238]
+Epoch 350/1001: 100%|██████████| 9/9 [00:00<00:00, 21.06it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 351/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 351/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 351/1001:  11%|█         | 1/9 [00:00<00:01,  4.56it/s, Loss=0.235]
+Epoch 351/1001:  11%|█         | 1/9 [00:00<00:01,  4.56it/s, Loss=0.237]
+Epoch 351/1001:  11%|█         | 1/9 [00:00<00:01,  4.56it/s, Loss=0.232]
+Epoch 351/1001:  11%|█         | 1/9 [00:00<00:01,  4.56it/s, Loss=0.235]
+Epoch 351/1001:  11%|█         | 1/9 [00:00<00:01,  4.56it/s, Loss=0.234]
+Epoch 351/1001:  11%|█         | 1/9 [00:00<00:01,  4.56it/s, Loss=0.233]
+Epoch 351/1001:  11%|█         | 1/9 [00:00<00:01,  4.56it/s, Loss=0.24] 
+Epoch 351/1001:  11%|█         | 1/9 [00:00<00:01,  4.56it/s, Loss=0.238]
+Epoch 351/1001:  11%|█         | 1/9 [00:00<00:01,  4.56it/s, Loss=0.235]
+Epoch 351/1001: 100%|██████████| 9/9 [00:00<00:00, 24.95it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 352/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 352/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 352/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.237]
+Epoch 352/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.242]
+Epoch 352/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.236]
+Epoch 352/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.237]
+Epoch 352/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.237]
+Epoch 352/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.236]
+Epoch 352/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.236]
+Epoch 352/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.235]
+Epoch 352/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.233]
+Epoch 352/1001: 100%|██████████| 9/9 [00:00<00:00, 22.96it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 353/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 353/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.243]
+Epoch 353/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.243]
+Epoch 353/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.24] 
+Epoch 353/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.236]
+Epoch 353/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.238]
+Epoch 353/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.242]
+Epoch 353/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.237]
+Epoch 353/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.242]
+Epoch 353/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.239]
+Epoch 353/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.236]
+Epoch 353/1001: 100%|██████████| 9/9 [00:00<00:00, 27.69it/s, Loss=0.236]
+Epoch 353/1001: 100%|██████████| 9/9 [00:00<00:00, 19.96it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 354/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 354/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 354/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.233]
+Epoch 354/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.238]
+Epoch 354/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.242]
+Epoch 354/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.235]
+Epoch 354/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.237]
+Epoch 354/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.234]
+Epoch 354/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.233]
+Epoch 354/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.238]
+Epoch 354/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.233]
+Epoch 354/1001: 100%|██████████| 9/9 [00:00<00:00, 20.56it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 355/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 355/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.241]
+Epoch 355/1001:  11%|█         | 1/9 [00:00<00:01,  4.24it/s, Loss=0.241]
+Epoch 355/1001:  11%|█         | 1/9 [00:00<00:01,  4.24it/s, Loss=0.238]
+Epoch 355/1001:  11%|█         | 1/9 [00:00<00:01,  4.24it/s, Loss=0.233]
+Epoch 355/1001:  11%|█         | 1/9 [00:00<00:01,  4.24it/s, Loss=0.241]
+Epoch 355/1001:  11%|█         | 1/9 [00:00<00:01,  4.24it/s, Loss=0.23] 
+Epoch 355/1001:  11%|█         | 1/9 [00:00<00:01,  4.24it/s, Loss=0.24]
+Epoch 355/1001:  11%|█         | 1/9 [00:00<00:01,  4.24it/s, Loss=0.231]
+Epoch 355/1001:  11%|█         | 1/9 [00:00<00:01,  4.24it/s, Loss=0.236]
+Epoch 355/1001:  11%|█         | 1/9 [00:00<00:01,  4.24it/s, Loss=0.238]
+Epoch 355/1001: 100%|██████████| 9/9 [00:00<00:00, 23.10it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 356/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 356/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.241]
+Epoch 356/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.241]
+Epoch 356/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.237]
+Epoch 356/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.237]
+Epoch 356/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.239]
+Epoch 356/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.231]
+Epoch 356/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.24] 
+Epoch 356/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.234]
+Epoch 356/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.23] 
+Epoch 356/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.237]
+Epoch 356/1001: 100%|██████████| 9/9 [00:00<00:00, 19.06it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 357/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 357/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 357/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.234]
+Epoch 357/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.232]
+Epoch 357/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.232]
+Epoch 357/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.246]
+Epoch 357/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.241]
+Epoch 357/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.237]
+Epoch 357/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.238]
+Epoch 357/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.239]
+Epoch 357/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.239]
+Epoch 357/1001: 100%|██████████| 9/9 [00:00<00:00, 24.62it/s, Loss=0.239]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 358/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 358/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 358/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.235]
+Epoch 358/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.24] 
+Epoch 358/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.232]
+Epoch 358/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.242]
+Epoch 358/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.231]
+Epoch 358/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.239]
+Epoch 358/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.236]
+Epoch 358/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.237]
+Epoch 358/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.233]
+Epoch 358/1001: 100%|██████████| 9/9 [00:00<00:00, 32.73it/s, Loss=0.233]
+Epoch 358/1001: 100%|██████████| 9/9 [00:00<00:00, 23.82it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 359/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 359/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 359/1001:  11%|█         | 1/9 [00:00<00:02,  3.94it/s, Loss=0.237]
+Epoch 359/1001:  11%|█         | 1/9 [00:00<00:02,  3.94it/s, Loss=0.23] 
+Epoch 359/1001:  11%|█         | 1/9 [00:00<00:02,  3.94it/s, Loss=0.233]
+Epoch 359/1001:  11%|█         | 1/9 [00:00<00:02,  3.94it/s, Loss=0.235]
+Epoch 359/1001:  11%|█         | 1/9 [00:00<00:02,  3.94it/s, Loss=0.241]
+Epoch 359/1001:  11%|█         | 1/9 [00:00<00:02,  3.94it/s, Loss=0.235]
+Epoch 359/1001:  11%|█         | 1/9 [00:00<00:02,  3.94it/s, Loss=0.234]
+Epoch 359/1001:  11%|█         | 1/9 [00:00<00:02,  3.94it/s, Loss=0.235]
+Epoch 359/1001:  11%|█         | 1/9 [00:00<00:02,  3.94it/s, Loss=0.242]
+Epoch 359/1001: 100%|██████████| 9/9 [00:00<00:00, 30.50it/s, Loss=0.242]
+Epoch 359/1001: 100%|██████████| 9/9 [00:00<00:00, 21.91it/s, Loss=0.242]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 360/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 360/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 360/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.232]
+Epoch 360/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.238]
+Epoch 360/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.238]
+Epoch 360/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.239]
+Epoch 360/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.238]
+Epoch 360/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.236]
+Epoch 360/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.238]
+Epoch 360/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.234]
+Epoch 360/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.238]
+Epoch 360/1001: 100%|██████████| 9/9 [00:00<00:00, 24.75it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 361/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 361/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 361/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.234]
+Epoch 361/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.231]
+Epoch 361/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.237]
+Epoch 361/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.227]
+Epoch 361/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.241]
+Epoch 361/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.239]
+Epoch 361/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.239]
+Epoch 361/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.234]
+Epoch 361/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.238]
+Epoch 361/1001: 100%|██████████| 9/9 [00:00<00:00, 25.71it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 362/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 362/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 362/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.232]
+Epoch 362/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.24] 
+Epoch 362/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.233]
+Epoch 362/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.238]
+Epoch 362/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.236]
+Epoch 362/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.232]
+Epoch 362/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.232]
+Epoch 362/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.235]
+Epoch 362/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.236]
+Epoch 362/1001: 100%|██████████| 9/9 [00:00<00:00, 25.59it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 363/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 363/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.24]
+Epoch 363/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.24]
+Epoch 363/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.238]
+Epoch 363/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.24] 
+Epoch 363/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.237]
+Epoch 363/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.236]
+Epoch 363/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.239]
+Epoch 363/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.236]
+Epoch 363/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.237]
+Epoch 363/1001:  89%|████████▉ | 8/9 [00:00<00:00, 27.51it/s, Loss=0.237]
+Epoch 363/1001:  89%|████████▉ | 8/9 [00:00<00:00, 27.51it/s, Loss=0.229]
+Epoch 363/1001: 100%|██████████| 9/9 [00:00<00:00, 21.85it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 364/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 364/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 364/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.237]
+Epoch 364/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.238]
+Epoch 364/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.232]
+Epoch 364/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.238]
+Epoch 364/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.233]
+Epoch 364/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.234]
+Epoch 364/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.236]
+Epoch 364/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.234]
+Epoch 364/1001:  89%|████████▉ | 8/9 [00:00<00:00, 23.24it/s, Loss=0.234]
+Epoch 364/1001:  89%|████████▉ | 8/9 [00:00<00:00, 23.24it/s, Loss=0.229]
+Epoch 364/1001: 100%|██████████| 9/9 [00:00<00:00, 18.02it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 365/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 365/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.24]
+Epoch 365/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.24]
+Epoch 365/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.235]
+Epoch 365/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.233]
+Epoch 365/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.233]
+Epoch 365/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.237]
+Epoch 365/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.238]
+Epoch 365/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.238]
+Epoch 365/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.229]
+Epoch 365/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.236]
+Epoch 365/1001: 100%|██████████| 9/9 [00:00<00:00, 21.91it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 366/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 366/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 366/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.229]
+Epoch 366/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.236]
+Epoch 366/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.235]
+Epoch 366/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.236]
+Epoch 366/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.234]
+Epoch 366/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.237]
+Epoch 366/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.238]
+Epoch 366/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.233]
+Epoch 366/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.236]
+Epoch 366/1001: 100%|██████████| 9/9 [00:00<00:00, 23.30it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 367/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 367/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.241]
+Epoch 367/1001:  11%|█         | 1/9 [00:00<00:01,  6.09it/s, Loss=0.241]
+Epoch 367/1001:  11%|█         | 1/9 [00:00<00:01,  6.09it/s, Loss=0.238]
+Epoch 367/1001:  11%|█         | 1/9 [00:00<00:01,  6.09it/s, Loss=0.235]
+Epoch 367/1001:  11%|█         | 1/9 [00:00<00:01,  6.09it/s, Loss=0.236]
+Epoch 367/1001:  11%|█         | 1/9 [00:00<00:01,  6.09it/s, Loss=0.231]
+Epoch 367/1001:  11%|█         | 1/9 [00:00<00:01,  6.09it/s, Loss=0.233]
+Epoch 367/1001:  11%|█         | 1/9 [00:00<00:01,  6.09it/s, Loss=0.234]
+Epoch 367/1001:  11%|█         | 1/9 [00:00<00:01,  6.09it/s, Loss=0.24] 
+Epoch 367/1001:  11%|█         | 1/9 [00:00<00:01,  6.09it/s, Loss=0.224]
+Epoch 367/1001: 100%|██████████| 9/9 [00:00<00:00, 31.15it/s, Loss=0.224]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 368/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 368/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 368/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.232]
+Epoch 368/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.241]
+Epoch 368/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.234]
+Epoch 368/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.24] 
+Epoch 368/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.237]
+Epoch 368/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.237]
+Epoch 368/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.234]
+Epoch 368/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.236]
+Epoch 368/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.237]
+Epoch 368/1001: 100%|██████████| 9/9 [00:00<00:00, 24.80it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 369/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 369/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 369/1001:  11%|█         | 1/9 [00:00<00:02,  3.20it/s, Loss=0.232]
+Epoch 369/1001:  11%|█         | 1/9 [00:00<00:02,  3.20it/s, Loss=0.235]
+Epoch 369/1001:  11%|█         | 1/9 [00:00<00:02,  3.20it/s, Loss=0.241]
+Epoch 369/1001:  11%|█         | 1/9 [00:00<00:02,  3.20it/s, Loss=0.237]
+Epoch 369/1001:  11%|█         | 1/9 [00:00<00:02,  3.20it/s, Loss=0.234]
+Epoch 369/1001:  11%|█         | 1/9 [00:00<00:02,  3.20it/s, Loss=0.234]
+Epoch 369/1001:  11%|█         | 1/9 [00:00<00:02,  3.20it/s, Loss=0.237]
+Epoch 369/1001:  11%|█         | 1/9 [00:00<00:02,  3.20it/s, Loss=0.233]
+Epoch 369/1001:  11%|█         | 1/9 [00:00<00:02,  3.20it/s, Loss=0.234]
+Epoch 369/1001: 100%|██████████| 9/9 [00:00<00:00, 19.92it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 370/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 370/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 370/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.236]
+Epoch 370/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.234]
+Epoch 370/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.236]
+Epoch 370/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.239]
+Epoch 370/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.238]
+Epoch 370/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.238]
+Epoch 370/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.241]
+Epoch 370/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.233]
+Epoch 370/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.233]
+Epoch 370/1001: 100%|██████████| 9/9 [00:00<00:00, 26.25it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 371/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 371/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 371/1001:  11%|█         | 1/9 [00:00<00:01,  4.01it/s, Loss=0.231]
+Epoch 371/1001:  11%|█         | 1/9 [00:00<00:01,  4.01it/s, Loss=0.23] 
+Epoch 371/1001:  11%|█         | 1/9 [00:00<00:01,  4.01it/s, Loss=0.229]
+Epoch 371/1001:  11%|█         | 1/9 [00:00<00:01,  4.01it/s, Loss=0.236]
+Epoch 371/1001:  11%|█         | 1/9 [00:00<00:01,  4.01it/s, Loss=0.234]
+Epoch 371/1001:  11%|█         | 1/9 [00:00<00:01,  4.01it/s, Loss=0.236]
+Epoch 371/1001:  11%|█         | 1/9 [00:00<00:01,  4.01it/s, Loss=0.238]
+Epoch 371/1001:  11%|█         | 1/9 [00:00<00:01,  4.01it/s, Loss=0.234]
+Epoch 371/1001:  11%|█         | 1/9 [00:00<00:01,  4.01it/s, Loss=0.231]
+Epoch 371/1001: 100%|██████████| 9/9 [00:00<00:00, 31.40it/s, Loss=0.231]
+Epoch 371/1001: 100%|██████████| 9/9 [00:00<00:00, 21.97it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 372/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 372/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.242]
+Epoch 372/1001:  11%|█         | 1/9 [00:00<00:02,  2.72it/s, Loss=0.242]
+Epoch 372/1001:  11%|█         | 1/9 [00:00<00:02,  2.72it/s, Loss=0.235]
+Epoch 372/1001:  11%|█         | 1/9 [00:00<00:02,  2.72it/s, Loss=0.245]
+Epoch 372/1001:  11%|█         | 1/9 [00:00<00:02,  2.72it/s, Loss=0.238]
+Epoch 372/1001:  11%|█         | 1/9 [00:00<00:02,  2.72it/s, Loss=0.238]
+Epoch 372/1001:  11%|█         | 1/9 [00:00<00:02,  2.72it/s, Loss=0.242]
+Epoch 372/1001:  11%|█         | 1/9 [00:00<00:02,  2.72it/s, Loss=0.237]
+Epoch 372/1001:  11%|█         | 1/9 [00:00<00:02,  2.72it/s, Loss=0.231]
+Epoch 372/1001:  11%|█         | 1/9 [00:00<00:02,  2.72it/s, Loss=0.242]
+Epoch 372/1001: 100%|██████████| 9/9 [00:00<00:00, 17.47it/s, Loss=0.242]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 373/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 373/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 373/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.232]
+Epoch 373/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.237]
+Epoch 373/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.24] 
+Epoch 373/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.235]
+Epoch 373/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.236]
+Epoch 373/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.238]
+Epoch 373/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.235]
+Epoch 373/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.237]
+Epoch 373/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.236]
+Epoch 373/1001: 100%|██████████| 9/9 [00:00<00:00, 23.17it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 374/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 374/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 374/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.236]
+Epoch 374/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.232]
+Epoch 374/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.231]
+Epoch 374/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.228]
+Epoch 374/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.237]
+Epoch 374/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.236]
+Epoch 374/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.24] 
+Epoch 374/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.236]
+Epoch 374/1001:  89%|████████▉ | 8/9 [00:00<00:00, 30.03it/s, Loss=0.236]
+Epoch 374/1001:  89%|████████▉ | 8/9 [00:00<00:00, 30.03it/s, Loss=0.235]
+Epoch 374/1001: 100%|██████████| 9/9 [00:00<00:00, 23.18it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 375/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 375/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 375/1001:  11%|█         | 1/9 [00:00<00:01,  5.00it/s, Loss=0.229]
+Epoch 375/1001:  11%|█         | 1/9 [00:00<00:01,  5.00it/s, Loss=0.235]
+Epoch 375/1001:  11%|█         | 1/9 [00:00<00:01,  5.00it/s, Loss=0.23] 
+Epoch 375/1001:  11%|█         | 1/9 [00:00<00:01,  5.00it/s, Loss=0.237]
+Epoch 375/1001:  11%|█         | 1/9 [00:00<00:01,  5.00it/s, Loss=0.232]
+Epoch 375/1001:  11%|█         | 1/9 [00:00<00:01,  5.00it/s, Loss=0.235]
+Epoch 375/1001:  11%|█         | 1/9 [00:00<00:01,  5.00it/s, Loss=0.229]
+Epoch 375/1001:  11%|█         | 1/9 [00:00<00:01,  5.00it/s, Loss=0.234]
+Epoch 375/1001:  11%|█         | 1/9 [00:00<00:01,  5.00it/s, Loss=0.231]
+Epoch 375/1001: 100%|██████████| 9/9 [00:00<00:00, 28.66it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 376/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 376/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 376/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.231]
+Epoch 376/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.24] 
+Epoch 376/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.234]
+Epoch 376/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.239]
+Epoch 376/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.232]
+Epoch 376/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.233]
+Epoch 376/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.236]
+Epoch 376/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.238]
+Epoch 376/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.239]
+Epoch 376/1001: 100%|██████████| 9/9 [00:00<00:00, 23.93it/s, Loss=0.239]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 377/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 377/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 377/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.234]
+Epoch 377/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.231]
+Epoch 377/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.236]
+Epoch 377/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.233]
+Epoch 377/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.238]
+Epoch 377/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.236]
+Epoch 377/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.232]
+Epoch 377/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.238]
+Epoch 377/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.234]
+Epoch 377/1001: 100%|██████████| 9/9 [00:00<00:00, 24.26it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 378/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 378/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 378/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.232]
+Epoch 378/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.234]
+Epoch 378/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.234]
+Epoch 378/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.236]
+Epoch 378/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.234]
+Epoch 378/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.231]
+Epoch 378/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.235]
+Epoch 378/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.24] 
+Epoch 378/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.242]
+Epoch 378/1001: 100%|██████████| 9/9 [00:00<00:00, 32.16it/s, Loss=0.242]
+Epoch 378/1001: 100%|██████████| 9/9 [00:00<00:00, 21.77it/s, Loss=0.242]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 379/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 379/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 379/1001:  11%|█         | 1/9 [00:00<00:02,  3.33it/s, Loss=0.231]
+Epoch 379/1001:  11%|█         | 1/9 [00:00<00:02,  3.33it/s, Loss=0.235]
+Epoch 379/1001:  11%|█         | 1/9 [00:00<00:02,  3.33it/s, Loss=0.234]
+Epoch 379/1001:  11%|█         | 1/9 [00:00<00:02,  3.33it/s, Loss=0.232]
+Epoch 379/1001:  11%|█         | 1/9 [00:00<00:02,  3.33it/s, Loss=0.231]
+Epoch 379/1001:  11%|█         | 1/9 [00:00<00:02,  3.33it/s, Loss=0.233]
+Epoch 379/1001:  11%|█         | 1/9 [00:00<00:02,  3.33it/s, Loss=0.239]
+Epoch 379/1001:  11%|█         | 1/9 [00:00<00:02,  3.33it/s, Loss=0.236]
+Epoch 379/1001:  11%|█         | 1/9 [00:00<00:02,  3.33it/s, Loss=0.236]
+Epoch 379/1001: 100%|██████████| 9/9 [00:00<00:00, 21.59it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 380/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 380/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 380/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.234]
+Epoch 380/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.231]
+Epoch 380/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.234]
+Epoch 380/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.234]
+Epoch 380/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.231]
+Epoch 380/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.234]
+Epoch 380/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.239]
+Epoch 380/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.234]
+Epoch 380/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.237]
+Epoch 380/1001: 100%|██████████| 9/9 [00:00<00:00, 23.48it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 381/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 381/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 381/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.234]
+Epoch 381/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.235]
+Epoch 381/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.233]
+Epoch 381/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.234]
+Epoch 381/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.231]
+Epoch 381/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.233]
+Epoch 381/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.241]
+Epoch 381/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.239]
+Epoch 381/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.233]
+Epoch 381/1001: 100%|██████████| 9/9 [00:00<00:00, 25.23it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 382/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 382/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 382/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.237]
+Epoch 382/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.23] 
+Epoch 382/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.233]
+Epoch 382/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.235]
+Epoch 382/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.243]
+Epoch 382/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.236]
+Epoch 382/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.237]
+Epoch 382/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.242]
+Epoch 382/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.235]
+Epoch 382/1001: 100%|██████████| 9/9 [00:00<00:00, 21.05it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 383/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 383/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 383/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.238]
+Epoch 383/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.236]
+Epoch 383/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.239]
+Epoch 383/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.232]
+Epoch 383/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.237]
+Epoch 383/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.24] 
+Epoch 383/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.236]
+Epoch 383/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.233]
+Epoch 383/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.238]
+Epoch 383/1001: 100%|██████████| 9/9 [00:00<00:00, 33.71it/s, Loss=0.238]
+Epoch 383/1001: 100%|██████████| 9/9 [00:00<00:00, 23.59it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 384/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 384/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 384/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.238]
+Epoch 384/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.237]
+Epoch 384/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.244]
+Epoch 384/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.238]
+Epoch 384/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.234]
+Epoch 384/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.234]
+Epoch 384/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.233]
+Epoch 384/1001:  78%|███████▊  | 7/9 [00:00<00:00, 23.10it/s, Loss=0.233]
+Epoch 384/1001:  78%|███████▊  | 7/9 [00:00<00:00, 23.10it/s, Loss=0.239]
+Epoch 384/1001:  78%|███████▊  | 7/9 [00:00<00:00, 23.10it/s, Loss=0.237]
+Epoch 384/1001: 100%|██████████| 9/9 [00:00<00:00, 20.09it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 385/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 385/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 385/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.236]
+Epoch 385/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.237]
+Epoch 385/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.235]
+Epoch 385/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.237]
+Epoch 385/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.233]
+Epoch 385/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.241]
+Epoch 385/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.236]
+Epoch 385/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.233]
+Epoch 385/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.236]
+Epoch 385/1001: 100%|██████████| 9/9 [00:00<00:00, 25.63it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 386/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 386/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 386/1001:  11%|█         | 1/9 [00:00<00:01,  5.23it/s, Loss=0.238]
+Epoch 386/1001:  11%|█         | 1/9 [00:00<00:01,  5.23it/s, Loss=0.236]
+Epoch 386/1001:  11%|█         | 1/9 [00:00<00:01,  5.23it/s, Loss=0.238]
+Epoch 386/1001:  11%|█         | 1/9 [00:00<00:01,  5.23it/s, Loss=0.232]
+Epoch 386/1001:  11%|█         | 1/9 [00:00<00:01,  5.23it/s, Loss=0.23] 
+Epoch 386/1001:  11%|█         | 1/9 [00:00<00:01,  5.23it/s, Loss=0.235]
+Epoch 386/1001:  11%|█         | 1/9 [00:00<00:01,  5.23it/s, Loss=0.236]
+Epoch 386/1001:  11%|█         | 1/9 [00:00<00:01,  5.23it/s, Loss=0.236]
+Epoch 386/1001:  11%|█         | 1/9 [00:00<00:01,  5.23it/s, Loss=0.246]
+Epoch 386/1001: 100%|██████████| 9/9 [00:00<00:00, 21.37it/s, Loss=0.246]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 387/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 387/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 387/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.234]
+Epoch 387/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.231]
+Epoch 387/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.235]
+Epoch 387/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.23] 
+Epoch 387/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.242]
+Epoch 387/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.237]
+Epoch 387/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.231]
+Epoch 387/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.231]
+Epoch 387/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.236]
+Epoch 387/1001: 100%|██████████| 9/9 [00:00<00:00, 23.66it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 388/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 388/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.242]
+Epoch 388/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.242]
+Epoch 388/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.236]
+Epoch 388/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.235]
+Epoch 388/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.241]
+Epoch 388/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.241]
+Epoch 388/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.237]
+Epoch 388/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.237]
+Epoch 388/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.235]
+Epoch 388/1001:  11%|█         | 1/9 [00:00<00:01,  4.44it/s, Loss=0.234]
+Epoch 388/1001: 100%|██████████| 9/9 [00:00<00:00, 25.37it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 389/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 389/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 389/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.236]
+Epoch 389/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.234]
+Epoch 389/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.232]
+Epoch 389/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.234]
+Epoch 389/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.237]
+Epoch 389/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.232]
+Epoch 389/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.228]
+Epoch 389/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.237]
+Epoch 389/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.241]
+Epoch 389/1001: 100%|██████████| 9/9 [00:00<00:00, 22.37it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 390/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 390/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 390/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.236]
+Epoch 390/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.237]
+Epoch 390/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.232]
+Epoch 390/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.234]
+Epoch 390/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.243]
+Epoch 390/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.234]
+Epoch 390/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.234]
+Epoch 390/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.234]
+Epoch 390/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.239]
+Epoch 390/1001: 100%|██████████| 9/9 [00:00<00:00, 22.51it/s, Loss=0.239]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 391/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 391/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 391/1001:  11%|█         | 1/9 [00:00<00:01,  4.85it/s, Loss=0.232]
+Epoch 391/1001:  11%|█         | 1/9 [00:00<00:01,  4.85it/s, Loss=0.232]
+Epoch 391/1001:  11%|█         | 1/9 [00:00<00:01,  4.85it/s, Loss=0.237]
+Epoch 391/1001:  11%|█         | 1/9 [00:00<00:01,  4.85it/s, Loss=0.236]
+Epoch 391/1001:  11%|█         | 1/9 [00:00<00:01,  4.85it/s, Loss=0.238]
+Epoch 391/1001:  11%|█         | 1/9 [00:00<00:01,  4.85it/s, Loss=0.229]
+Epoch 391/1001:  11%|█         | 1/9 [00:00<00:01,  4.85it/s, Loss=0.24] 
+Epoch 391/1001:  78%|███████▊  | 7/9 [00:00<00:00, 26.86it/s, Loss=0.24]
+Epoch 391/1001:  78%|███████▊  | 7/9 [00:00<00:00, 26.86it/s, Loss=0.233]
+Epoch 391/1001:  78%|███████▊  | 7/9 [00:00<00:00, 26.86it/s, Loss=0.237]
+Epoch 391/1001: 100%|██████████| 9/9 [00:00<00:00, 23.50it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 392/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 392/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 392/1001:  11%|█         | 1/9 [00:00<00:01,  5.46it/s, Loss=0.231]
+Epoch 392/1001:  11%|█         | 1/9 [00:00<00:01,  5.46it/s, Loss=0.232]
+Epoch 392/1001:  11%|█         | 1/9 [00:00<00:01,  5.46it/s, Loss=0.237]
+Epoch 392/1001:  11%|█         | 1/9 [00:00<00:01,  5.46it/s, Loss=0.24] 
+Epoch 392/1001:  11%|█         | 1/9 [00:00<00:01,  5.46it/s, Loss=0.239]
+Epoch 392/1001:  11%|█         | 1/9 [00:00<00:01,  5.46it/s, Loss=0.246]
+Epoch 392/1001:  11%|█         | 1/9 [00:00<00:01,  5.46it/s, Loss=0.233]
+Epoch 392/1001:  11%|█         | 1/9 [00:00<00:01,  5.46it/s, Loss=0.236]
+Epoch 392/1001:  11%|█         | 1/9 [00:00<00:01,  5.46it/s, Loss=0.234]
+Epoch 392/1001: 100%|██████████| 9/9 [00:00<00:00, 37.94it/s, Loss=0.234]
+Epoch 392/1001: 100%|██████████| 9/9 [00:00<00:00, 26.61it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 393/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 393/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 393/1001:  11%|█         | 1/9 [00:00<00:01,  5.08it/s, Loss=0.236]
+Epoch 393/1001:  11%|█         | 1/9 [00:00<00:01,  5.08it/s, Loss=0.24] 
+Epoch 393/1001:  11%|█         | 1/9 [00:00<00:01,  5.08it/s, Loss=0.236]
+Epoch 393/1001:  11%|█         | 1/9 [00:00<00:01,  5.08it/s, Loss=0.239]
+Epoch 393/1001:  11%|█         | 1/9 [00:00<00:01,  5.08it/s, Loss=0.234]
+Epoch 393/1001:  11%|█         | 1/9 [00:00<00:01,  5.08it/s, Loss=0.239]
+Epoch 393/1001:  11%|█         | 1/9 [00:00<00:01,  5.08it/s, Loss=0.236]
+Epoch 393/1001:  11%|█         | 1/9 [00:00<00:01,  5.08it/s, Loss=0.237]
+Epoch 393/1001:  11%|█         | 1/9 [00:00<00:01,  5.08it/s, Loss=0.238]
+Epoch 393/1001: 100%|██████████| 9/9 [00:00<00:00, 36.57it/s, Loss=0.238]
+Epoch 393/1001: 100%|██████████| 9/9 [00:00<00:00, 25.59it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 394/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 394/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 394/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.237]
+Epoch 394/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.237]
+Epoch 394/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.235]
+Epoch 394/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.233]
+Epoch 394/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.239]
+Epoch 394/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.239]
+Epoch 394/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.24] 
+Epoch 394/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.233]
+Epoch 394/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.236]
+Epoch 394/1001: 100%|██████████| 9/9 [00:00<00:00, 22.17it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 395/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 395/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 395/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.236]
+Epoch 395/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.237]
+Epoch 395/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.235]
+Epoch 395/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.237]
+Epoch 395/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.235]
+Epoch 395/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.225]
+Epoch 395/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.235]
+Epoch 395/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.233]
+Epoch 395/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.24] 
+Epoch 395/1001: 100%|██████████| 9/9 [00:00<00:00, 22.06it/s, Loss=0.24]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 396/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 396/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 396/1001:  11%|█         | 1/9 [00:00<00:01,  4.46it/s, Loss=0.232]
+Epoch 396/1001:  11%|█         | 1/9 [00:00<00:01,  4.46it/s, Loss=0.238]
+Epoch 396/1001:  11%|█         | 1/9 [00:00<00:01,  4.46it/s, Loss=0.232]
+Epoch 396/1001:  11%|█         | 1/9 [00:00<00:01,  4.46it/s, Loss=0.238]
+Epoch 396/1001:  11%|█         | 1/9 [00:00<00:01,  4.46it/s, Loss=0.237]
+Epoch 396/1001:  11%|█         | 1/9 [00:00<00:01,  4.46it/s, Loss=0.237]
+Epoch 396/1001:  11%|█         | 1/9 [00:00<00:01,  4.46it/s, Loss=0.239]
+Epoch 396/1001:  11%|█         | 1/9 [00:00<00:01,  4.46it/s, Loss=0.233]
+Epoch 396/1001:  11%|█         | 1/9 [00:00<00:01,  4.46it/s, Loss=0.237]
+Epoch 396/1001: 100%|██████████| 9/9 [00:00<00:00, 24.84it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 397/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 397/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 397/1001:  11%|█         | 1/9 [00:00<00:01,  4.63it/s, Loss=0.234]
+Epoch 397/1001:  11%|█         | 1/9 [00:00<00:01,  4.63it/s, Loss=0.225]
+Epoch 397/1001:  11%|█         | 1/9 [00:00<00:01,  4.63it/s, Loss=0.236]
+Epoch 397/1001:  11%|█         | 1/9 [00:00<00:01,  4.63it/s, Loss=0.232]
+Epoch 397/1001:  11%|█         | 1/9 [00:00<00:01,  4.63it/s, Loss=0.233]
+Epoch 397/1001:  11%|█         | 1/9 [00:00<00:01,  4.63it/s, Loss=0.229]
+Epoch 397/1001:  11%|█         | 1/9 [00:00<00:01,  4.63it/s, Loss=0.236]
+Epoch 397/1001:  11%|█         | 1/9 [00:00<00:01,  4.63it/s, Loss=0.237]
+Epoch 397/1001:  11%|█         | 1/9 [00:00<00:01,  4.63it/s, Loss=0.234]
+Epoch 397/1001: 100%|██████████| 9/9 [00:00<00:00, 34.55it/s, Loss=0.234]
+Epoch 397/1001: 100%|██████████| 9/9 [00:00<00:00, 23.84it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 398/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 398/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.224]
+Epoch 398/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.224]
+Epoch 398/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.237]
+Epoch 398/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.234]
+Epoch 398/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.233]
+Epoch 398/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.239]
+Epoch 398/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.235]
+Epoch 398/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.239]
+Epoch 398/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.235]
+Epoch 398/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.75it/s, Loss=0.235]
+Epoch 398/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.75it/s, Loss=0.235]
+Epoch 398/1001: 100%|██████████| 9/9 [00:00<00:00, 21.24it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 399/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 399/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 399/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.238]
+Epoch 399/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.232]
+Epoch 399/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.241]
+Epoch 399/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.236]
+Epoch 399/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.23] 
+Epoch 399/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.231]
+Epoch 399/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.234]
+Epoch 399/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.234]
+Epoch 399/1001:  89%|████████▉ | 8/9 [00:00<00:00, 29.51it/s, Loss=0.234]
+Epoch 399/1001:  89%|████████▉ | 8/9 [00:00<00:00, 29.51it/s, Loss=0.234]
+Epoch 399/1001: 100%|██████████| 9/9 [00:00<00:00, 23.20it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 400/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 400/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 400/1001:  11%|█         | 1/9 [00:00<00:01,  5.14it/s, Loss=0.234]
+Epoch 400/1001:  11%|█         | 1/9 [00:00<00:01,  5.14it/s, Loss=0.233]
+Epoch 400/1001:  11%|█         | 1/9 [00:00<00:01,  5.14it/s, Loss=0.236]
+Epoch 400/1001:  11%|█         | 1/9 [00:00<00:01,  5.14it/s, Loss=0.237]
+Epoch 400/1001:  11%|█         | 1/9 [00:00<00:01,  5.14it/s, Loss=0.237]
+Epoch 400/1001:  11%|█         | 1/9 [00:00<00:01,  5.14it/s, Loss=0.234]
+Epoch 400/1001:  11%|█         | 1/9 [00:00<00:01,  5.14it/s, Loss=0.233]
+Epoch 400/1001:  11%|█         | 1/9 [00:00<00:01,  5.14it/s, Loss=0.236]
+Epoch 400/1001:  11%|█         | 1/9 [00:00<00:01,  5.14it/s, Loss=0.239]
+Epoch 400/1001: 100%|██████████| 9/9 [00:00<00:00, 27.31it/s, Loss=0.239]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 401/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 401/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 401/1001:  11%|█         | 1/9 [00:00<00:01,  5.07it/s, Loss=0.229]
+Epoch 401/1001:  11%|█         | 1/9 [00:00<00:01,  5.07it/s, Loss=0.238]
+Epoch 401/1001:  11%|█         | 1/9 [00:00<00:01,  5.07it/s, Loss=0.235]
+Epoch 401/1001:  11%|█         | 1/9 [00:00<00:01,  5.07it/s, Loss=0.242]
+Epoch 401/1001:  11%|█         | 1/9 [00:00<00:01,  5.07it/s, Loss=0.235]
+Epoch 401/1001:  11%|█         | 1/9 [00:00<00:01,  5.07it/s, Loss=0.234]
+Epoch 401/1001:  11%|█         | 1/9 [00:00<00:01,  5.07it/s, Loss=0.236]
+Epoch 401/1001:  11%|█         | 1/9 [00:00<00:01,  5.07it/s, Loss=0.234]
+Epoch 401/1001:  11%|█         | 1/9 [00:00<00:01,  5.07it/s, Loss=0.232]
+Epoch 401/1001: 100%|██████████| 9/9 [00:00<00:00, 28.21it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 402/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 402/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 402/1001:  11%|█         | 1/9 [00:00<00:01,  5.65it/s, Loss=0.238]
+Epoch 402/1001:  11%|█         | 1/9 [00:00<00:01,  5.65it/s, Loss=0.237]
+Epoch 402/1001:  11%|█         | 1/9 [00:00<00:01,  5.65it/s, Loss=0.226]
+Epoch 402/1001:  11%|█         | 1/9 [00:00<00:01,  5.65it/s, Loss=0.23] 
+Epoch 402/1001:  11%|█         | 1/9 [00:00<00:01,  5.65it/s, Loss=0.237]
+Epoch 402/1001:  11%|█         | 1/9 [00:00<00:01,  5.65it/s, Loss=0.23] 
+Epoch 402/1001:  11%|█         | 1/9 [00:00<00:01,  5.65it/s, Loss=0.234]
+Epoch 402/1001:  11%|█         | 1/9 [00:00<00:01,  5.65it/s, Loss=0.238]
+Epoch 402/1001:  11%|█         | 1/9 [00:00<00:01,  5.65it/s, Loss=0.234]
+Epoch 402/1001: 100%|██████████| 9/9 [00:00<00:00, 30.37it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 403/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 403/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 403/1001:  11%|█         | 1/9 [00:00<00:01,  6.50it/s, Loss=0.232]
+Epoch 403/1001:  11%|█         | 1/9 [00:00<00:01,  6.50it/s, Loss=0.228]
+Epoch 403/1001:  11%|█         | 1/9 [00:00<00:01,  6.50it/s, Loss=0.238]
+Epoch 403/1001:  11%|█         | 1/9 [00:00<00:01,  6.50it/s, Loss=0.233]
+Epoch 403/1001:  11%|█         | 1/9 [00:00<00:01,  6.50it/s, Loss=0.235]
+Epoch 403/1001:  11%|█         | 1/9 [00:00<00:01,  6.50it/s, Loss=0.235]
+Epoch 403/1001:  11%|█         | 1/9 [00:00<00:01,  6.50it/s, Loss=0.235]
+Epoch 403/1001:  11%|█         | 1/9 [00:00<00:01,  6.50it/s, Loss=0.234]
+Epoch 403/1001:  11%|█         | 1/9 [00:00<00:01,  6.50it/s, Loss=0.229]
+Epoch 403/1001: 100%|██████████| 9/9 [00:00<00:00, 30.87it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 404/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 404/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 404/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.237]
+Epoch 404/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.232]
+Epoch 404/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.232]
+Epoch 404/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.235]
+Epoch 404/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.242]
+Epoch 404/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.24] 
+Epoch 404/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.233]
+Epoch 404/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.236]
+Epoch 404/1001:  89%|████████▉ | 8/9 [00:00<00:00, 28.54it/s, Loss=0.236]
+Epoch 404/1001:  89%|████████▉ | 8/9 [00:00<00:00, 28.54it/s, Loss=0.235]
+Epoch 404/1001: 100%|██████████| 9/9 [00:00<00:00, 22.84it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 405/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 405/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 405/1001:  11%|█         | 1/9 [00:00<00:01,  5.46it/s, Loss=0.231]
+Epoch 405/1001:  11%|█         | 1/9 [00:00<00:01,  5.46it/s, Loss=0.238]
+Epoch 405/1001:  11%|█         | 1/9 [00:00<00:01,  5.46it/s, Loss=0.24] 
+Epoch 405/1001:  11%|█         | 1/9 [00:00<00:01,  5.46it/s, Loss=0.238]
+Epoch 405/1001:  11%|█         | 1/9 [00:00<00:01,  5.46it/s, Loss=0.234]
+Epoch 405/1001:  11%|█         | 1/9 [00:00<00:01,  5.46it/s, Loss=0.238]
+Epoch 405/1001:  11%|█         | 1/9 [00:00<00:01,  5.46it/s, Loss=0.232]
+Epoch 405/1001:  11%|█         | 1/9 [00:00<00:01,  5.46it/s, Loss=0.232]
+Epoch 405/1001:  11%|█         | 1/9 [00:00<00:01,  5.46it/s, Loss=0.234]
+Epoch 405/1001: 100%|██████████| 9/9 [00:00<00:00, 29.34it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 406/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 406/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 406/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.234]
+Epoch 406/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.232]
+Epoch 406/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.235]
+Epoch 406/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.234]
+Epoch 406/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.235]
+Epoch 406/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.236]
+Epoch 406/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.24] 
+Epoch 406/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.236]
+Epoch 406/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.238]
+Epoch 406/1001: 100%|██████████| 9/9 [00:00<00:00, 31.56it/s, Loss=0.238]
+Epoch 406/1001: 100%|██████████| 9/9 [00:00<00:00, 22.39it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 407/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 407/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 407/1001:  11%|█         | 1/9 [00:00<00:02,  3.25it/s, Loss=0.237]
+Epoch 407/1001:  11%|█         | 1/9 [00:00<00:02,  3.25it/s, Loss=0.233]
+Epoch 407/1001:  11%|█         | 1/9 [00:00<00:02,  3.25it/s, Loss=0.236]
+Epoch 407/1001:  11%|█         | 1/9 [00:00<00:02,  3.25it/s, Loss=0.24] 
+Epoch 407/1001:  11%|█         | 1/9 [00:00<00:02,  3.25it/s, Loss=0.23]
+Epoch 407/1001:  11%|█         | 1/9 [00:00<00:02,  3.25it/s, Loss=0.239]
+Epoch 407/1001:  11%|█         | 1/9 [00:00<00:02,  3.25it/s, Loss=0.227]
+Epoch 407/1001:  78%|███████▊  | 7/9 [00:00<00:00, 20.27it/s, Loss=0.227]
+Epoch 407/1001:  78%|███████▊  | 7/9 [00:00<00:00, 20.27it/s, Loss=0.239]
+Epoch 407/1001:  78%|███████▊  | 7/9 [00:00<00:00, 20.27it/s, Loss=0.231]
+Epoch 407/1001: 100%|██████████| 9/9 [00:00<00:00, 17.39it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 408/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 408/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 408/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.235]
+Epoch 408/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.232]
+Epoch 408/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.24] 
+Epoch 408/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.235]
+Epoch 408/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.241]
+Epoch 408/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.236]
+Epoch 408/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.237]
+Epoch 408/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.233]
+Epoch 408/1001:  89%|████████▉ | 8/9 [00:00<00:00, 25.95it/s, Loss=0.233]
+Epoch 408/1001:  89%|████████▉ | 8/9 [00:00<00:00, 25.95it/s, Loss=0.234]
+Epoch 408/1001: 100%|██████████| 9/9 [00:00<00:00, 20.04it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 409/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 409/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 409/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.232]
+Epoch 409/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.231]
+Epoch 409/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.235]
+Epoch 409/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.231]
+Epoch 409/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.232]
+Epoch 409/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.232]
+Epoch 409/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.238]
+Epoch 409/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.238]
+Epoch 409/1001:  89%|████████▉ | 8/9 [00:00<00:00, 25.75it/s, Loss=0.238]
+Epoch 409/1001:  89%|████████▉ | 8/9 [00:00<00:00, 25.75it/s, Loss=0.235]
+Epoch 409/1001: 100%|██████████| 9/9 [00:00<00:00, 19.87it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 410/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 410/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 410/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.231]
+Epoch 410/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.24] 
+Epoch 410/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.233]
+Epoch 410/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.239]
+Epoch 410/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.23] 
+Epoch 410/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.239]
+Epoch 410/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.228]
+Epoch 410/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.235]
+Epoch 410/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.231]
+Epoch 410/1001: 100%|██████████| 9/9 [00:00<00:00, 24.51it/s, Loss=0.231]
+Epoch 410/1001: 100%|██████████| 9/9 [00:00<00:00, 17.13it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 411/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 411/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 411/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.234]
+Epoch 411/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.231]
+Epoch 411/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.24] 
+Epoch 411/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.235]
+Epoch 411/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.236]
+Epoch 411/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.23] 
+Epoch 411/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.233]
+Epoch 411/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.232]
+Epoch 411/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.237]
+Epoch 411/1001: 100%|██████████| 9/9 [00:00<00:00, 21.78it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 412/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 412/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 412/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.238]
+Epoch 412/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.242]
+Epoch 412/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.236]
+Epoch 412/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.238]
+Epoch 412/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.24] 
+Epoch 412/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.236]
+Epoch 412/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.233]
+Epoch 412/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.237]
+Epoch 412/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.232]
+Epoch 412/1001: 100%|██████████| 9/9 [00:00<00:00, 26.31it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 413/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 413/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.242]
+Epoch 413/1001:  11%|█         | 1/9 [00:00<00:01,  4.80it/s, Loss=0.242]
+Epoch 413/1001:  11%|█         | 1/9 [00:00<00:01,  4.80it/s, Loss=0.233]
+Epoch 413/1001:  11%|█         | 1/9 [00:00<00:01,  4.80it/s, Loss=0.236]
+Epoch 413/1001:  11%|█         | 1/9 [00:00<00:01,  4.80it/s, Loss=0.236]
+Epoch 413/1001:  11%|█         | 1/9 [00:00<00:01,  4.80it/s, Loss=0.237]
+Epoch 413/1001:  11%|█         | 1/9 [00:00<00:01,  4.80it/s, Loss=0.228]
+Epoch 413/1001:  11%|█         | 1/9 [00:00<00:01,  4.80it/s, Loss=0.235]
+Epoch 413/1001:  11%|█         | 1/9 [00:00<00:01,  4.80it/s, Loss=0.233]
+Epoch 413/1001:  11%|█         | 1/9 [00:00<00:01,  4.80it/s, Loss=0.237]
+Epoch 413/1001: 100%|██████████| 9/9 [00:00<00:00, 24.44it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 414/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 414/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 414/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.235]
+Epoch 414/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.233]
+Epoch 414/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.236]
+Epoch 414/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.239]
+Epoch 414/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.237]
+Epoch 414/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.236]
+Epoch 414/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.243]
+Epoch 414/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.236]
+Epoch 414/1001:  89%|████████▉ | 8/9 [00:00<00:00, 28.74it/s, Loss=0.236]
+Epoch 414/1001:  89%|████████▉ | 8/9 [00:00<00:00, 28.74it/s, Loss=0.233]
+Epoch 414/1001: 100%|██████████| 9/9 [00:00<00:00, 23.07it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 415/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 415/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 415/1001:  11%|█         | 1/9 [00:00<00:01,  6.32it/s, Loss=0.238]
+Epoch 415/1001:  11%|█         | 1/9 [00:00<00:01,  6.32it/s, Loss=0.231]
+Epoch 415/1001:  11%|█         | 1/9 [00:00<00:01,  6.32it/s, Loss=0.234]
+Epoch 415/1001:  11%|█         | 1/9 [00:00<00:01,  6.32it/s, Loss=0.232]
+Epoch 415/1001:  11%|█         | 1/9 [00:00<00:01,  6.32it/s, Loss=0.229]
+Epoch 415/1001:  11%|█         | 1/9 [00:00<00:01,  6.32it/s, Loss=0.234]
+Epoch 415/1001:  11%|█         | 1/9 [00:00<00:01,  6.32it/s, Loss=0.236]
+Epoch 415/1001:  11%|█         | 1/9 [00:00<00:01,  6.32it/s, Loss=0.237]
+Epoch 415/1001:  11%|█         | 1/9 [00:00<00:01,  6.32it/s, Loss=0.231]
+Epoch 415/1001: 100%|██████████| 9/9 [00:00<00:00, 32.33it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 416/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 416/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 416/1001:  11%|█         | 1/9 [00:00<00:01,  6.17it/s, Loss=0.235]
+Epoch 416/1001:  11%|█         | 1/9 [00:00<00:01,  6.17it/s, Loss=0.237]
+Epoch 416/1001:  11%|█         | 1/9 [00:00<00:01,  6.17it/s, Loss=0.235]
+Epoch 416/1001:  11%|█         | 1/9 [00:00<00:01,  6.17it/s, Loss=0.238]
+Epoch 416/1001:  11%|█         | 1/9 [00:00<00:01,  6.17it/s, Loss=0.239]
+Epoch 416/1001:  11%|█         | 1/9 [00:00<00:01,  6.17it/s, Loss=0.241]
+Epoch 416/1001:  11%|█         | 1/9 [00:00<00:01,  6.17it/s, Loss=0.238]
+Epoch 416/1001:  11%|█         | 1/9 [00:00<00:01,  6.17it/s, Loss=0.23] 
+Epoch 416/1001:  11%|█         | 1/9 [00:00<00:01,  6.17it/s, Loss=0.23]
+Epoch 416/1001: 100%|██████████| 9/9 [00:00<00:00, 29.62it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 417/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 417/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 417/1001:  11%|█         | 1/9 [00:00<00:01,  5.43it/s, Loss=0.237]
+Epoch 417/1001:  11%|█         | 1/9 [00:00<00:01,  5.43it/s, Loss=0.231]
+Epoch 417/1001:  11%|█         | 1/9 [00:00<00:01,  5.43it/s, Loss=0.235]
+Epoch 417/1001:  11%|█         | 1/9 [00:00<00:01,  5.43it/s, Loss=0.23] 
+Epoch 417/1001:  11%|█         | 1/9 [00:00<00:01,  5.43it/s, Loss=0.228]
+Epoch 417/1001:  11%|█         | 1/9 [00:00<00:01,  5.43it/s, Loss=0.237]
+Epoch 417/1001:  11%|█         | 1/9 [00:00<00:01,  5.43it/s, Loss=0.233]
+Epoch 417/1001:  78%|███████▊  | 7/9 [00:00<00:00, 28.03it/s, Loss=0.233]
+Epoch 417/1001:  78%|███████▊  | 7/9 [00:00<00:00, 28.03it/s, Loss=0.239]
+Epoch 417/1001:  78%|███████▊  | 7/9 [00:00<00:00, 28.03it/s, Loss=0.237]
+Epoch 417/1001: 100%|██████████| 9/9 [00:00<00:00, 25.36it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 418/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 418/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 418/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.23]
+Epoch 418/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.23]
+Epoch 418/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.236]
+Epoch 418/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.23] 
+Epoch 418/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.231]
+Epoch 418/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.233]
+Epoch 418/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.234]
+Epoch 418/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.24] 
+Epoch 418/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.239]
+Epoch 418/1001: 100%|██████████| 9/9 [00:00<00:00, 23.53it/s, Loss=0.239]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 419/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 419/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 419/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.233]
+Epoch 419/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.236]
+Epoch 419/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.237]
+Epoch 419/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.236]
+Epoch 419/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.237]
+Epoch 419/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.237]
+Epoch 419/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.229]
+Epoch 419/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.236]
+Epoch 419/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.233]
+Epoch 419/1001: 100%|██████████| 9/9 [00:00<00:00, 20.17it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 420/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 420/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 420/1001:  11%|█         | 1/9 [00:00<00:02,  3.56it/s, Loss=0.23]
+Epoch 420/1001:  11%|█         | 1/9 [00:00<00:02,  3.56it/s, Loss=0.236]
+Epoch 420/1001:  11%|█         | 1/9 [00:00<00:02,  3.56it/s, Loss=0.238]
+Epoch 420/1001:  11%|█         | 1/9 [00:00<00:02,  3.56it/s, Loss=0.234]
+Epoch 420/1001:  11%|█         | 1/9 [00:00<00:02,  3.56it/s, Loss=0.234]
+Epoch 420/1001:  11%|█         | 1/9 [00:00<00:02,  3.56it/s, Loss=0.237]
+Epoch 420/1001:  11%|█         | 1/9 [00:00<00:02,  3.56it/s, Loss=0.238]
+Epoch 420/1001:  11%|█         | 1/9 [00:00<00:02,  3.56it/s, Loss=0.234]
+Epoch 420/1001:  11%|█         | 1/9 [00:00<00:02,  3.56it/s, Loss=0.233]
+Epoch 420/1001: 100%|██████████| 9/9 [00:00<00:00, 20.48it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 421/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 421/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 421/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.232]
+Epoch 421/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.237]
+Epoch 421/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.242]
+Epoch 421/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.229]
+Epoch 421/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.236]
+Epoch 421/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.235]
+Epoch 421/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.233]
+Epoch 421/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.231]
+Epoch 421/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.233]
+Epoch 421/1001: 100%|██████████| 9/9 [00:00<00:00, 22.33it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 422/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 422/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.239]
+Epoch 422/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.239]
+Epoch 422/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.234]
+Epoch 422/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.235]
+Epoch 422/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.241]
+Epoch 422/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.237]
+Epoch 422/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.239]
+Epoch 422/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.237]
+Epoch 422/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.234]
+Epoch 422/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.243]
+Epoch 422/1001: 100%|██████████| 9/9 [00:00<00:00, 26.57it/s, Loss=0.243]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 423/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 423/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 423/1001:  11%|█         | 1/9 [00:00<00:01,  5.53it/s, Loss=0.235]
+Epoch 423/1001:  11%|█         | 1/9 [00:00<00:01,  5.53it/s, Loss=0.233]
+Epoch 423/1001:  11%|█         | 1/9 [00:00<00:01,  5.53it/s, Loss=0.233]
+Epoch 423/1001:  11%|█         | 1/9 [00:00<00:01,  5.53it/s, Loss=0.237]
+Epoch 423/1001:  11%|█         | 1/9 [00:00<00:01,  5.53it/s, Loss=0.236]
+Epoch 423/1001:  11%|█         | 1/9 [00:00<00:01,  5.53it/s, Loss=0.228]
+Epoch 423/1001:  11%|█         | 1/9 [00:00<00:01,  5.53it/s, Loss=0.234]
+Epoch 423/1001:  11%|█         | 1/9 [00:00<00:01,  5.53it/s, Loss=0.232]
+Epoch 423/1001:  11%|█         | 1/9 [00:00<00:01,  5.53it/s, Loss=0.232]
+Epoch 423/1001: 100%|██████████| 9/9 [00:00<00:00, 28.58it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 424/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 424/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 424/1001:  11%|█         | 1/9 [00:00<00:01,  6.34it/s, Loss=0.233]
+Epoch 424/1001:  11%|█         | 1/9 [00:00<00:01,  6.34it/s, Loss=0.23] 
+Epoch 424/1001:  11%|█         | 1/9 [00:00<00:01,  6.34it/s, Loss=0.231]
+Epoch 424/1001:  11%|█         | 1/9 [00:00<00:01,  6.34it/s, Loss=0.237]
+Epoch 424/1001:  11%|█         | 1/9 [00:00<00:01,  6.34it/s, Loss=0.234]
+Epoch 424/1001:  11%|█         | 1/9 [00:00<00:01,  6.34it/s, Loss=0.232]
+Epoch 424/1001:  11%|█         | 1/9 [00:00<00:01,  6.34it/s, Loss=0.231]
+Epoch 424/1001:  11%|█         | 1/9 [00:00<00:01,  6.34it/s, Loss=0.236]
+Epoch 424/1001:  89%|████████▉ | 8/9 [00:00<00:00, 35.90it/s, Loss=0.236]
+Epoch 424/1001:  89%|████████▉ | 8/9 [00:00<00:00, 35.90it/s, Loss=0.238]
+Epoch 424/1001: 100%|██████████| 9/9 [00:00<00:00, 27.41it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 425/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 425/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 425/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.236]
+Epoch 425/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.229]
+Epoch 425/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.238]
+Epoch 425/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.228]
+Epoch 425/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.234]
+Epoch 425/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.229]
+Epoch 425/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.23] 
+Epoch 425/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.236]
+Epoch 425/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.237]
+Epoch 425/1001: 100%|██████████| 9/9 [00:00<00:00, 27.33it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 426/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 426/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 426/1001:  11%|█         | 1/9 [00:00<00:01,  6.11it/s, Loss=0.233]
+Epoch 426/1001:  11%|█         | 1/9 [00:00<00:01,  6.11it/s, Loss=0.233]
+Epoch 426/1001:  11%|█         | 1/9 [00:00<00:01,  6.11it/s, Loss=0.232]
+Epoch 426/1001:  11%|█         | 1/9 [00:00<00:01,  6.11it/s, Loss=0.239]
+Epoch 426/1001:  11%|█         | 1/9 [00:00<00:01,  6.11it/s, Loss=0.235]
+Epoch 426/1001:  11%|█         | 1/9 [00:00<00:01,  6.11it/s, Loss=0.238]
+Epoch 426/1001:  11%|█         | 1/9 [00:00<00:01,  6.11it/s, Loss=0.234]
+Epoch 426/1001:  11%|█         | 1/9 [00:00<00:01,  6.11it/s, Loss=0.236]
+Epoch 426/1001:  11%|█         | 1/9 [00:00<00:01,  6.11it/s, Loss=0.236]
+Epoch 426/1001: 100%|██████████| 9/9 [00:00<00:00, 30.86it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 427/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 427/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.239]
+Epoch 427/1001:  11%|█         | 1/9 [00:00<00:01,  5.01it/s, Loss=0.239]
+Epoch 427/1001:  11%|█         | 1/9 [00:00<00:01,  5.01it/s, Loss=0.234]
+Epoch 427/1001:  11%|█         | 1/9 [00:00<00:01,  5.01it/s, Loss=0.229]
+Epoch 427/1001:  11%|█         | 1/9 [00:00<00:01,  5.01it/s, Loss=0.238]
+Epoch 427/1001:  11%|█         | 1/9 [00:00<00:01,  5.01it/s, Loss=0.235]
+Epoch 427/1001:  11%|█         | 1/9 [00:00<00:01,  5.01it/s, Loss=0.234]
+Epoch 427/1001:  11%|█         | 1/9 [00:00<00:01,  5.01it/s, Loss=0.235]
+Epoch 427/1001:  11%|█         | 1/9 [00:00<00:01,  5.01it/s, Loss=0.241]
+Epoch 427/1001:  11%|█         | 1/9 [00:00<00:01,  5.01it/s, Loss=0.233]
+Epoch 427/1001: 100%|██████████| 9/9 [00:00<00:00, 25.71it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 428/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 428/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 428/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.232]
+Epoch 428/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.237]
+Epoch 428/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.239]
+Epoch 428/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.237]
+Epoch 428/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.236]
+Epoch 428/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.232]
+Epoch 428/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.237]
+Epoch 428/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.232]
+Epoch 428/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.235]
+Epoch 428/1001: 100%|██████████| 9/9 [00:00<00:00, 29.60it/s, Loss=0.235]
+Epoch 428/1001: 100%|██████████| 9/9 [00:00<00:00, 20.68it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 429/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 429/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 429/1001:  11%|█         | 1/9 [00:00<00:01,  5.28it/s, Loss=0.232]
+Epoch 429/1001:  11%|█         | 1/9 [00:00<00:01,  5.28it/s, Loss=0.228]
+Epoch 429/1001:  11%|█         | 1/9 [00:00<00:01,  5.28it/s, Loss=0.238]
+Epoch 429/1001:  11%|█         | 1/9 [00:00<00:01,  5.28it/s, Loss=0.231]
+Epoch 429/1001:  11%|█         | 1/9 [00:00<00:01,  5.28it/s, Loss=0.235]
+Epoch 429/1001:  11%|█         | 1/9 [00:00<00:01,  5.28it/s, Loss=0.232]
+Epoch 429/1001:  11%|█         | 1/9 [00:00<00:01,  5.28it/s, Loss=0.236]
+Epoch 429/1001:  11%|█         | 1/9 [00:00<00:01,  5.28it/s, Loss=0.23] 
+Epoch 429/1001:  11%|█         | 1/9 [00:00<00:01,  5.28it/s, Loss=0.235]
+Epoch 429/1001: 100%|██████████| 9/9 [00:00<00:00, 28.79it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 430/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 430/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 430/1001:  11%|█         | 1/9 [00:00<00:01,  4.55it/s, Loss=0.23]
+Epoch 430/1001:  11%|█         | 1/9 [00:00<00:01,  4.55it/s, Loss=0.234]
+Epoch 430/1001:  11%|█         | 1/9 [00:00<00:01,  4.55it/s, Loss=0.236]
+Epoch 430/1001:  11%|█         | 1/9 [00:00<00:01,  4.55it/s, Loss=0.232]
+Epoch 430/1001:  11%|█         | 1/9 [00:00<00:01,  4.55it/s, Loss=0.238]
+Epoch 430/1001:  11%|█         | 1/9 [00:00<00:01,  4.55it/s, Loss=0.235]
+Epoch 430/1001:  11%|█         | 1/9 [00:00<00:01,  4.55it/s, Loss=0.235]
+Epoch 430/1001:  11%|█         | 1/9 [00:00<00:01,  4.55it/s, Loss=0.238]
+Epoch 430/1001:  11%|█         | 1/9 [00:00<00:01,  4.55it/s, Loss=0.224]
+Epoch 430/1001: 100%|██████████| 9/9 [00:00<00:00, 26.01it/s, Loss=0.224]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 431/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 431/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 431/1001:  11%|█         | 1/9 [00:00<00:01,  5.04it/s, Loss=0.236]
+Epoch 431/1001:  11%|█         | 1/9 [00:00<00:01,  5.04it/s, Loss=0.237]
+Epoch 431/1001:  11%|█         | 1/9 [00:00<00:01,  5.04it/s, Loss=0.231]
+Epoch 431/1001:  11%|█         | 1/9 [00:00<00:01,  5.04it/s, Loss=0.233]
+Epoch 431/1001:  11%|█         | 1/9 [00:00<00:01,  5.04it/s, Loss=0.233]
+Epoch 431/1001:  11%|█         | 1/9 [00:00<00:01,  5.04it/s, Loss=0.234]
+Epoch 431/1001:  11%|█         | 1/9 [00:00<00:01,  5.04it/s, Loss=0.232]
+Epoch 431/1001:  11%|█         | 1/9 [00:00<00:01,  5.04it/s, Loss=0.235]
+Epoch 431/1001:  11%|█         | 1/9 [00:00<00:01,  5.04it/s, Loss=0.234]
+Epoch 431/1001: 100%|██████████| 9/9 [00:00<00:00, 25.84it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 432/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 432/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 432/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.23]
+Epoch 432/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.231]
+Epoch 432/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.232]
+Epoch 432/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.24] 
+Epoch 432/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.231]
+Epoch 432/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.231]
+Epoch 432/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.233]
+Epoch 432/1001:  78%|███████▊  | 7/9 [00:00<00:00, 25.07it/s, Loss=0.233]
+Epoch 432/1001:  78%|███████▊  | 7/9 [00:00<00:00, 25.07it/s, Loss=0.231]
+Epoch 432/1001:  78%|███████▊  | 7/9 [00:00<00:00, 25.07it/s, Loss=0.234]
+Epoch 432/1001: 100%|██████████| 9/9 [00:00<00:00, 20.66it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 433/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 433/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 433/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.237]
+Epoch 433/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.233]
+Epoch 433/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.244]
+Epoch 433/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.23] 
+Epoch 433/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.236]
+Epoch 433/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.228]
+Epoch 433/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.241]
+Epoch 433/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.24] 
+Epoch 433/1001:  89%|████████▉ | 8/9 [00:00<00:00, 27.93it/s, Loss=0.24]
+Epoch 433/1001:  89%|████████▉ | 8/9 [00:00<00:00, 27.93it/s, Loss=0.239]
+Epoch 433/1001: 100%|██████████| 9/9 [00:00<00:00, 22.25it/s, Loss=0.239]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 434/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 434/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 434/1001:  11%|█         | 1/9 [00:00<00:02,  3.60it/s, Loss=0.236]
+Epoch 434/1001:  11%|█         | 1/9 [00:00<00:02,  3.60it/s, Loss=0.232]
+Epoch 434/1001:  11%|█         | 1/9 [00:00<00:02,  3.60it/s, Loss=0.237]
+Epoch 434/1001:  11%|█         | 1/9 [00:00<00:02,  3.60it/s, Loss=0.235]
+Epoch 434/1001:  11%|█         | 1/9 [00:00<00:02,  3.60it/s, Loss=0.233]
+Epoch 434/1001:  11%|█         | 1/9 [00:00<00:02,  3.60it/s, Loss=0.234]
+Epoch 434/1001:  11%|█         | 1/9 [00:00<00:02,  3.60it/s, Loss=0.234]
+Epoch 434/1001:  11%|█         | 1/9 [00:00<00:02,  3.60it/s, Loss=0.23] 
+Epoch 434/1001:  11%|█         | 1/9 [00:00<00:02,  3.60it/s, Loss=0.237]
+Epoch 434/1001: 100%|██████████| 9/9 [00:00<00:00, 22.26it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 435/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 435/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 435/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.231]
+Epoch 435/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.238]
+Epoch 435/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.238]
+Epoch 435/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.238]
+Epoch 435/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.232]
+Epoch 435/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.235]
+Epoch 435/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.237]
+Epoch 435/1001:  78%|███████▊  | 7/9 [00:00<00:00, 27.63it/s, Loss=0.237]
+Epoch 435/1001:  78%|███████▊  | 7/9 [00:00<00:00, 27.63it/s, Loss=0.229]
+Epoch 435/1001:  78%|███████▊  | 7/9 [00:00<00:00, 27.63it/s, Loss=0.236]
+Epoch 435/1001: 100%|██████████| 9/9 [00:00<00:00, 23.08it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 436/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 436/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.239]
+Epoch 436/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.239]
+Epoch 436/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.239]
+Epoch 436/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.232]
+Epoch 436/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.233]
+Epoch 436/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.232]
+Epoch 436/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.231]
+Epoch 436/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.234]
+Epoch 436/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.227]
+Epoch 436/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.229]
+Epoch 436/1001: 100%|██████████| 9/9 [00:00<00:00, 25.93it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 437/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 437/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 437/1001:  11%|█         | 1/9 [00:00<00:01,  7.64it/s, Loss=0.237]
+Epoch 437/1001:  11%|█         | 1/9 [00:00<00:01,  7.64it/s, Loss=0.231]
+Epoch 437/1001:  11%|█         | 1/9 [00:00<00:01,  7.64it/s, Loss=0.229]
+Epoch 437/1001:  11%|█         | 1/9 [00:00<00:01,  7.64it/s, Loss=0.228]
+Epoch 437/1001:  11%|█         | 1/9 [00:00<00:01,  7.64it/s, Loss=0.226]
+Epoch 437/1001:  11%|█         | 1/9 [00:00<00:01,  7.64it/s, Loss=0.236]
+Epoch 437/1001:  11%|█         | 1/9 [00:00<00:01,  7.64it/s, Loss=0.233]
+Epoch 437/1001:  78%|███████▊  | 7/9 [00:00<00:00, 34.67it/s, Loss=0.233]
+Epoch 437/1001:  78%|███████▊  | 7/9 [00:00<00:00, 34.67it/s, Loss=0.229]
+Epoch 437/1001:  78%|███████▊  | 7/9 [00:00<00:00, 34.67it/s, Loss=0.23] 
+Epoch 437/1001: 100%|██████████| 9/9 [00:00<00:00, 28.17it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 438/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 438/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 438/1001:  11%|█         | 1/9 [00:00<00:02,  3.25it/s, Loss=0.234]
+Epoch 438/1001:  11%|█         | 1/9 [00:00<00:02,  3.25it/s, Loss=0.239]
+Epoch 438/1001:  11%|█         | 1/9 [00:00<00:02,  3.25it/s, Loss=0.227]
+Epoch 438/1001:  11%|█         | 1/9 [00:00<00:02,  3.25it/s, Loss=0.23] 
+Epoch 438/1001:  11%|█         | 1/9 [00:00<00:02,  3.25it/s, Loss=0.241]
+Epoch 438/1001:  11%|█         | 1/9 [00:00<00:02,  3.25it/s, Loss=0.234]
+Epoch 438/1001:  11%|█         | 1/9 [00:00<00:02,  3.25it/s, Loss=0.235]
+Epoch 438/1001:  11%|█         | 1/9 [00:00<00:02,  3.25it/s, Loss=0.229]
+Epoch 438/1001:  89%|████████▉ | 8/9 [00:00<00:00, 23.40it/s, Loss=0.229]
+Epoch 438/1001:  89%|████████▉ | 8/9 [00:00<00:00, 23.40it/s, Loss=0.238]
+Epoch 438/1001: 100%|██████████| 9/9 [00:00<00:00, 18.88it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 439/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 439/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 439/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.234]
+Epoch 439/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.235]
+Epoch 439/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.236]
+Epoch 439/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.232]
+Epoch 439/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.236]
+Epoch 439/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.229]
+Epoch 439/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.236]
+Epoch 439/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.233]
+Epoch 439/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.235]
+Epoch 439/1001: 100%|██████████| 9/9 [00:00<00:00, 26.01it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 440/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 440/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 440/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.234]
+Epoch 440/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.23] 
+Epoch 440/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.235]
+Epoch 440/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.23] 
+Epoch 440/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.23]
+Epoch 440/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.233]
+Epoch 440/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.236]
+Epoch 440/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.229]
+Epoch 440/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.24] 
+Epoch 440/1001: 100%|██████████| 9/9 [00:00<00:00, 23.86it/s, Loss=0.24]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 441/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 441/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 441/1001:  11%|█         | 1/9 [00:00<00:01,  5.94it/s, Loss=0.23]
+Epoch 441/1001:  11%|█         | 1/9 [00:00<00:01,  5.94it/s, Loss=0.237]
+Epoch 441/1001:  11%|█         | 1/9 [00:00<00:01,  5.94it/s, Loss=0.237]
+Epoch 441/1001:  11%|█         | 1/9 [00:00<00:01,  5.94it/s, Loss=0.239]
+Epoch 441/1001:  11%|█         | 1/9 [00:00<00:01,  5.94it/s, Loss=0.231]
+Epoch 441/1001:  11%|█         | 1/9 [00:00<00:01,  5.94it/s, Loss=0.237]
+Epoch 441/1001:  11%|█         | 1/9 [00:00<00:01,  5.94it/s, Loss=0.235]
+Epoch 441/1001:  11%|█         | 1/9 [00:00<00:01,  5.94it/s, Loss=0.235]
+Epoch 441/1001:  11%|█         | 1/9 [00:00<00:01,  5.94it/s, Loss=0.232]
+Epoch 441/1001: 100%|██████████| 9/9 [00:00<00:00, 27.68it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 442/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 442/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 442/1001:  11%|█         | 1/9 [00:00<00:01,  4.54it/s, Loss=0.234]
+Epoch 442/1001:  11%|█         | 1/9 [00:00<00:01,  4.54it/s, Loss=0.233]
+Epoch 442/1001:  11%|█         | 1/9 [00:00<00:01,  4.54it/s, Loss=0.234]
+Epoch 442/1001:  11%|█         | 1/9 [00:00<00:01,  4.54it/s, Loss=0.24] 
+Epoch 442/1001:  11%|█         | 1/9 [00:00<00:01,  4.54it/s, Loss=0.238]
+Epoch 442/1001:  11%|█         | 1/9 [00:00<00:01,  4.54it/s, Loss=0.234]
+Epoch 442/1001:  11%|█         | 1/9 [00:00<00:01,  4.54it/s, Loss=0.236]
+Epoch 442/1001:  11%|█         | 1/9 [00:00<00:01,  4.54it/s, Loss=0.235]
+Epoch 442/1001:  11%|█         | 1/9 [00:00<00:01,  4.54it/s, Loss=0.233]
+Epoch 442/1001: 100%|██████████| 9/9 [00:00<00:00, 23.96it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 443/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 443/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 443/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.236]
+Epoch 443/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.236]
+Epoch 443/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.232]
+Epoch 443/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.239]
+Epoch 443/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.233]
+Epoch 443/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.231]
+Epoch 443/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.233]
+Epoch 443/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.233]
+Epoch 443/1001:  89%|████████▉ | 8/9 [00:00<00:00, 27.89it/s, Loss=0.233]
+Epoch 443/1001:  89%|████████▉ | 8/9 [00:00<00:00, 27.89it/s, Loss=0.236]
+Epoch 443/1001: 100%|██████████| 9/9 [00:00<00:00, 20.72it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 444/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 444/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 444/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.232]
+Epoch 444/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.233]
+Epoch 444/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.231]
+Epoch 444/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.236]
+Epoch 444/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.238]
+Epoch 444/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.236]
+Epoch 444/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.235]
+Epoch 444/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.231]
+Epoch 444/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.238]
+Epoch 444/1001: 100%|██████████| 9/9 [00:00<00:00, 24.90it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 445/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 445/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.239]
+Epoch 445/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.239]
+Epoch 445/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.233]
+Epoch 445/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.231]
+Epoch 445/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.233]
+Epoch 445/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.234]
+Epoch 445/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.237]
+Epoch 445/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.23] 
+Epoch 445/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.233]
+Epoch 445/1001:  11%|█         | 1/9 [00:00<00:02,  3.40it/s, Loss=0.236]
+Epoch 445/1001: 100%|██████████| 9/9 [00:00<00:00, 21.16it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 446/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 446/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.239]
+Epoch 446/1001:  11%|█         | 1/9 [00:00<00:03,  2.64it/s, Loss=0.239]
+Epoch 446/1001:  11%|█         | 1/9 [00:00<00:03,  2.64it/s, Loss=0.237]
+Epoch 446/1001:  11%|█         | 1/9 [00:00<00:03,  2.64it/s, Loss=0.238]
+Epoch 446/1001:  11%|█         | 1/9 [00:00<00:03,  2.64it/s, Loss=0.24] 
+Epoch 446/1001:  11%|█         | 1/9 [00:00<00:03,  2.64it/s, Loss=0.236]
+Epoch 446/1001:  11%|█         | 1/9 [00:00<00:03,  2.64it/s, Loss=0.234]
+Epoch 446/1001:  11%|█         | 1/9 [00:00<00:03,  2.64it/s, Loss=0.234]
+Epoch 446/1001:  78%|███████▊  | 7/9 [00:00<00:00, 18.15it/s, Loss=0.234]
+Epoch 446/1001:  78%|███████▊  | 7/9 [00:00<00:00, 18.15it/s, Loss=0.237]
+Epoch 446/1001:  78%|███████▊  | 7/9 [00:00<00:00, 18.15it/s, Loss=0.235]
+Epoch 446/1001: 100%|██████████| 9/9 [00:00<00:00, 15.57it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 447/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 447/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 447/1001:  11%|█         | 1/9 [00:00<00:02,  3.08it/s, Loss=0.238]
+Epoch 447/1001:  11%|█         | 1/9 [00:00<00:02,  3.08it/s, Loss=0.238]
+Epoch 447/1001:  11%|█         | 1/9 [00:00<00:02,  3.08it/s, Loss=0.233]
+Epoch 447/1001:  11%|█         | 1/9 [00:00<00:02,  3.08it/s, Loss=0.232]
+Epoch 447/1001:  11%|█         | 1/9 [00:00<00:02,  3.08it/s, Loss=0.231]
+Epoch 447/1001:  11%|█         | 1/9 [00:00<00:02,  3.08it/s, Loss=0.236]
+Epoch 447/1001:  11%|█         | 1/9 [00:00<00:02,  3.08it/s, Loss=0.235]
+Epoch 447/1001:  11%|█         | 1/9 [00:00<00:02,  3.08it/s, Loss=0.239]
+Epoch 447/1001:  11%|█         | 1/9 [00:00<00:02,  3.08it/s, Loss=0.24] 
+Epoch 447/1001: 100%|██████████| 9/9 [00:00<00:00, 25.79it/s, Loss=0.24]
+Epoch 447/1001: 100%|██████████| 9/9 [00:00<00:00, 17.80it/s, Loss=0.24]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 448/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 448/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 448/1001:  11%|█         | 1/9 [00:00<00:03,  2.65it/s, Loss=0.232]
+Epoch 448/1001:  11%|█         | 1/9 [00:00<00:03,  2.65it/s, Loss=0.235]
+Epoch 448/1001:  11%|█         | 1/9 [00:00<00:03,  2.65it/s, Loss=0.234]
+Epoch 448/1001:  11%|█         | 1/9 [00:00<00:03,  2.65it/s, Loss=0.23] 
+Epoch 448/1001:  11%|█         | 1/9 [00:00<00:03,  2.65it/s, Loss=0.234]
+Epoch 448/1001:  11%|█         | 1/9 [00:00<00:03,  2.65it/s, Loss=0.236]
+Epoch 448/1001:  11%|█         | 1/9 [00:00<00:03,  2.65it/s, Loss=0.237]
+Epoch 448/1001:  11%|█         | 1/9 [00:00<00:03,  2.65it/s, Loss=0.233]
+Epoch 448/1001:  11%|█         | 1/9 [00:00<00:03,  2.65it/s, Loss=0.229]
+Epoch 448/1001: 100%|██████████| 9/9 [00:00<00:00, 16.84it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 449/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 449/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 449/1001:  11%|█         | 1/9 [00:00<00:03,  2.41it/s, Loss=0.235]
+Epoch 449/1001:  11%|█         | 1/9 [00:00<00:03,  2.41it/s, Loss=0.232]
+Epoch 449/1001:  11%|█         | 1/9 [00:00<00:03,  2.41it/s, Loss=0.231]
+Epoch 449/1001:  11%|█         | 1/9 [00:00<00:03,  2.41it/s, Loss=0.233]
+Epoch 449/1001:  11%|█         | 1/9 [00:00<00:03,  2.41it/s, Loss=0.237]
+Epoch 449/1001:  11%|█         | 1/9 [00:00<00:03,  2.41it/s, Loss=0.235]
+Epoch 449/1001:  11%|█         | 1/9 [00:00<00:03,  2.41it/s, Loss=0.234]
+Epoch 449/1001:  11%|█         | 1/9 [00:00<00:03,  2.41it/s, Loss=0.237]
+Epoch 449/1001:  11%|█         | 1/9 [00:00<00:03,  2.41it/s, Loss=0.229]
+Epoch 449/1001: 100%|██████████| 9/9 [00:00<00:00, 15.92it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 450/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 450/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 450/1001:  11%|█         | 1/9 [00:00<00:03,  2.14it/s, Loss=0.232]
+Epoch 450/1001:  11%|█         | 1/9 [00:00<00:03,  2.14it/s, Loss=0.235]
+Epoch 450/1001:  11%|█         | 1/9 [00:00<00:03,  2.14it/s, Loss=0.236]
+Epoch 450/1001:  11%|█         | 1/9 [00:00<00:03,  2.14it/s, Loss=0.232]
+Epoch 450/1001:  11%|█         | 1/9 [00:00<00:03,  2.14it/s, Loss=0.232]
+Epoch 450/1001:  11%|█         | 1/9 [00:00<00:03,  2.14it/s, Loss=0.234]
+Epoch 450/1001:  11%|█         | 1/9 [00:00<00:03,  2.14it/s, Loss=0.234]
+Epoch 450/1001:  11%|█         | 1/9 [00:00<00:03,  2.14it/s, Loss=0.241]
+Epoch 450/1001:  89%|████████▉ | 8/9 [00:00<00:00, 17.83it/s, Loss=0.241]
+Epoch 450/1001:  89%|████████▉ | 8/9 [00:00<00:00, 17.83it/s, Loss=0.242]
+Epoch 450/1001: 100%|██████████| 9/9 [00:00<00:00, 13.82it/s, Loss=0.242]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 451/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 451/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 451/1001:  11%|█         | 1/9 [00:00<00:02,  2.90it/s, Loss=0.234]
+Epoch 451/1001:  11%|█         | 1/9 [00:00<00:02,  2.90it/s, Loss=0.241]
+Epoch 451/1001:  11%|█         | 1/9 [00:00<00:02,  2.90it/s, Loss=0.242]
+Epoch 451/1001:  11%|█         | 1/9 [00:00<00:02,  2.90it/s, Loss=0.242]
+Epoch 451/1001:  11%|█         | 1/9 [00:00<00:02,  2.90it/s, Loss=0.233]
+Epoch 451/1001:  11%|█         | 1/9 [00:00<00:02,  2.90it/s, Loss=0.235]
+Epoch 451/1001:  11%|█         | 1/9 [00:00<00:02,  2.90it/s, Loss=0.241]
+Epoch 451/1001:  11%|█         | 1/9 [00:00<00:02,  2.90it/s, Loss=0.238]
+Epoch 451/1001:  11%|█         | 1/9 [00:00<00:02,  2.90it/s, Loss=0.233]
+Epoch 451/1001: 100%|██████████| 9/9 [00:00<00:00, 18.02it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 452/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 452/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 452/1001:  11%|█         | 1/9 [00:00<00:02,  2.86it/s, Loss=0.232]
+Epoch 452/1001:  11%|█         | 1/9 [00:00<00:02,  2.86it/s, Loss=0.235]
+Epoch 452/1001:  11%|█         | 1/9 [00:00<00:02,  2.86it/s, Loss=0.232]
+Epoch 452/1001:  11%|█         | 1/9 [00:00<00:02,  2.86it/s, Loss=0.233]
+Epoch 452/1001:  11%|█         | 1/9 [00:00<00:02,  2.86it/s, Loss=0.23] 
+Epoch 452/1001:  11%|█         | 1/9 [00:00<00:02,  2.86it/s, Loss=0.233]
+Epoch 452/1001:  11%|█         | 1/9 [00:00<00:02,  2.86it/s, Loss=0.236]
+Epoch 452/1001:  11%|█         | 1/9 [00:00<00:02,  2.86it/s, Loss=0.237]
+Epoch 452/1001:  11%|█         | 1/9 [00:00<00:02,  2.86it/s, Loss=0.234]
+Epoch 452/1001: 100%|██████████| 9/9 [00:00<00:00, 17.87it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 453/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 453/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 453/1001:  11%|█         | 1/9 [00:00<00:02,  2.86it/s, Loss=0.235]
+Epoch 453/1001:  11%|█         | 1/9 [00:00<00:02,  2.86it/s, Loss=0.23] 
+Epoch 453/1001:  11%|█         | 1/9 [00:00<00:02,  2.86it/s, Loss=0.237]
+Epoch 453/1001:  11%|█         | 1/9 [00:00<00:02,  2.86it/s, Loss=0.234]
+Epoch 453/1001:  11%|█         | 1/9 [00:00<00:02,  2.86it/s, Loss=0.235]
+Epoch 453/1001:  11%|█         | 1/9 [00:00<00:02,  2.86it/s, Loss=0.23] 
+Epoch 453/1001:  11%|█         | 1/9 [00:00<00:02,  2.86it/s, Loss=0.236]
+Epoch 453/1001:  11%|█         | 1/9 [00:00<00:02,  2.86it/s, Loss=0.234]
+Epoch 453/1001:  11%|█         | 1/9 [00:00<00:02,  2.86it/s, Loss=0.238]
+Epoch 453/1001: 100%|██████████| 9/9 [00:00<00:00, 24.95it/s, Loss=0.238]
+Epoch 453/1001: 100%|██████████| 9/9 [00:00<00:00, 17.24it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 454/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 454/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 454/1001:  11%|█         | 1/9 [00:00<00:02,  3.04it/s, Loss=0.233]
+Epoch 454/1001:  11%|█         | 1/9 [00:00<00:02,  3.04it/s, Loss=0.233]
+Epoch 454/1001:  11%|█         | 1/9 [00:00<00:02,  3.04it/s, Loss=0.235]
+Epoch 454/1001:  11%|█         | 1/9 [00:00<00:02,  3.04it/s, Loss=0.236]
+Epoch 454/1001:  11%|█         | 1/9 [00:00<00:02,  3.04it/s, Loss=0.234]
+Epoch 454/1001:  11%|█         | 1/9 [00:00<00:02,  3.04it/s, Loss=0.235]
+Epoch 454/1001:  11%|█         | 1/9 [00:00<00:02,  3.04it/s, Loss=0.231]
+Epoch 454/1001:  11%|█         | 1/9 [00:00<00:02,  3.04it/s, Loss=0.238]
+Epoch 454/1001:  11%|█         | 1/9 [00:00<00:02,  3.04it/s, Loss=0.236]
+Epoch 454/1001: 100%|██████████| 9/9 [00:00<00:00, 19.12it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 455/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 455/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 455/1001:  11%|█         | 1/9 [00:00<00:02,  2.82it/s, Loss=0.235]
+Epoch 455/1001:  11%|█         | 1/9 [00:00<00:02,  2.82it/s, Loss=0.235]
+Epoch 455/1001:  11%|█         | 1/9 [00:00<00:02,  2.82it/s, Loss=0.234]
+Epoch 455/1001:  11%|█         | 1/9 [00:00<00:02,  2.82it/s, Loss=0.235]
+Epoch 455/1001:  11%|█         | 1/9 [00:00<00:02,  2.82it/s, Loss=0.234]
+Epoch 455/1001:  11%|█         | 1/9 [00:00<00:02,  2.82it/s, Loss=0.234]
+Epoch 455/1001:  11%|█         | 1/9 [00:00<00:02,  2.82it/s, Loss=0.235]
+Epoch 455/1001:  11%|█         | 1/9 [00:00<00:02,  2.82it/s, Loss=0.239]
+Epoch 455/1001:  11%|█         | 1/9 [00:00<00:02,  2.82it/s, Loss=0.235]
+Epoch 455/1001: 100%|██████████| 9/9 [00:00<00:00, 24.80it/s, Loss=0.235]
+Epoch 455/1001: 100%|██████████| 9/9 [00:00<00:00, 17.01it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 456/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 456/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.226]
+Epoch 456/1001:  11%|█         | 1/9 [00:00<00:02,  2.67it/s, Loss=0.226]
+Epoch 456/1001:  11%|█         | 1/9 [00:00<00:02,  2.67it/s, Loss=0.235]
+Epoch 456/1001:  11%|█         | 1/9 [00:00<00:02,  2.67it/s, Loss=0.236]
+Epoch 456/1001:  11%|█         | 1/9 [00:00<00:02,  2.67it/s, Loss=0.237]
+Epoch 456/1001:  11%|█         | 1/9 [00:00<00:02,  2.67it/s, Loss=0.237]
+Epoch 456/1001:  11%|█         | 1/9 [00:00<00:02,  2.67it/s, Loss=0.24] 
+Epoch 456/1001:  11%|█         | 1/9 [00:00<00:02,  2.67it/s, Loss=0.235]
+Epoch 456/1001:  11%|█         | 1/9 [00:00<00:02,  2.67it/s, Loss=0.232]
+Epoch 456/1001:  11%|█         | 1/9 [00:00<00:02,  2.67it/s, Loss=0.234]
+Epoch 456/1001: 100%|██████████| 9/9 [00:00<00:00, 17.07it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 457/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 457/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 457/1001:  11%|█         | 1/9 [00:00<00:02,  2.80it/s, Loss=0.235]
+Epoch 457/1001:  11%|█         | 1/9 [00:00<00:02,  2.80it/s, Loss=0.228]
+Epoch 457/1001:  11%|█         | 1/9 [00:00<00:02,  2.80it/s, Loss=0.233]
+Epoch 457/1001:  11%|█         | 1/9 [00:00<00:02,  2.80it/s, Loss=0.232]
+Epoch 457/1001:  11%|█         | 1/9 [00:00<00:02,  2.80it/s, Loss=0.237]
+Epoch 457/1001:  11%|█         | 1/9 [00:00<00:02,  2.80it/s, Loss=0.234]
+Epoch 457/1001:  11%|█         | 1/9 [00:00<00:02,  2.80it/s, Loss=0.235]
+Epoch 457/1001:  11%|█         | 1/9 [00:00<00:02,  2.80it/s, Loss=0.236]
+Epoch 457/1001:  11%|█         | 1/9 [00:00<00:02,  2.80it/s, Loss=0.244]
+Epoch 457/1001: 100%|██████████| 9/9 [00:00<00:00, 17.39it/s, Loss=0.244]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 458/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 458/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 458/1001:  11%|█         | 1/9 [00:00<00:03,  2.55it/s, Loss=0.231]
+Epoch 458/1001:  11%|█         | 1/9 [00:00<00:03,  2.55it/s, Loss=0.235]
+Epoch 458/1001:  11%|█         | 1/9 [00:00<00:03,  2.55it/s, Loss=0.233]
+Epoch 458/1001:  11%|█         | 1/9 [00:00<00:03,  2.55it/s, Loss=0.232]
+Epoch 458/1001:  11%|█         | 1/9 [00:00<00:03,  2.55it/s, Loss=0.235]
+Epoch 458/1001:  11%|█         | 1/9 [00:00<00:03,  2.55it/s, Loss=0.232]
+Epoch 458/1001:  11%|█         | 1/9 [00:00<00:03,  2.55it/s, Loss=0.241]
+Epoch 458/1001:  11%|█         | 1/9 [00:00<00:03,  2.55it/s, Loss=0.232]
+Epoch 458/1001:  11%|█         | 1/9 [00:00<00:03,  2.55it/s, Loss=0.237]
+Epoch 458/1001: 100%|██████████| 9/9 [00:00<00:00, 16.01it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 459/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 459/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 459/1001:  11%|█         | 1/9 [00:00<00:02,  2.92it/s, Loss=0.235]
+Epoch 459/1001:  11%|█         | 1/9 [00:00<00:02,  2.92it/s, Loss=0.232]
+Epoch 459/1001:  11%|█         | 1/9 [00:00<00:02,  2.92it/s, Loss=0.239]
+Epoch 459/1001:  11%|█         | 1/9 [00:00<00:02,  2.92it/s, Loss=0.23] 
+Epoch 459/1001:  11%|█         | 1/9 [00:00<00:02,  2.92it/s, Loss=0.235]
+Epoch 459/1001:  11%|█         | 1/9 [00:00<00:02,  2.92it/s, Loss=0.237]
+Epoch 459/1001:  11%|█         | 1/9 [00:00<00:02,  2.92it/s, Loss=0.23] 
+Epoch 459/1001:  11%|█         | 1/9 [00:00<00:02,  2.92it/s, Loss=0.233]
+Epoch 459/1001:  11%|█         | 1/9 [00:00<00:02,  2.92it/s, Loss=0.232]
+Epoch 459/1001: 100%|██████████| 9/9 [00:00<00:00, 18.24it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 460/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 460/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 460/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.233]
+Epoch 460/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.234]
+Epoch 460/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.228]
+Epoch 460/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.233]
+Epoch 460/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.235]
+Epoch 460/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.235]
+Epoch 460/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.237]
+Epoch 460/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.244]
+Epoch 460/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.229]
+Epoch 460/1001: 100%|██████████| 9/9 [00:00<00:00, 19.89it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 461/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 461/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 461/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.236]
+Epoch 461/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.233]
+Epoch 461/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.228]
+Epoch 461/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.238]
+Epoch 461/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.233]
+Epoch 461/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.236]
+Epoch 461/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.235]
+Epoch 461/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.228]
+Epoch 461/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.227]
+Epoch 461/1001: 100%|██████████| 9/9 [00:00<00:00, 18.58it/s, Loss=0.227]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 462/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 462/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 462/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.232]
+Epoch 462/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.236]
+Epoch 462/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.236]
+Epoch 462/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.236]
+Epoch 462/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.234]
+Epoch 462/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.236]
+Epoch 462/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.233]
+Epoch 462/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.238]
+Epoch 462/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.238]
+Epoch 462/1001: 100%|██████████| 9/9 [00:00<00:00, 20.24it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 463/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 463/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.243]
+Epoch 463/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.243]
+Epoch 463/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.236]
+Epoch 463/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.235]
+Epoch 463/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.234]
+Epoch 463/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.23] 
+Epoch 463/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.238]
+Epoch 463/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.233]
+Epoch 463/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.236]
+Epoch 463/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.236]
+Epoch 463/1001: 100%|██████████| 9/9 [00:00<00:00, 23.52it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 464/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 464/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 464/1001:  11%|█         | 1/9 [00:00<00:02,  3.24it/s, Loss=0.229]
+Epoch 464/1001:  11%|█         | 1/9 [00:00<00:02,  3.24it/s, Loss=0.232]
+Epoch 464/1001:  11%|█         | 1/9 [00:00<00:02,  3.24it/s, Loss=0.234]
+Epoch 464/1001:  11%|█         | 1/9 [00:00<00:02,  3.24it/s, Loss=0.23] 
+Epoch 464/1001:  11%|█         | 1/9 [00:00<00:02,  3.24it/s, Loss=0.231]
+Epoch 464/1001:  11%|█         | 1/9 [00:00<00:02,  3.24it/s, Loss=0.237]
+Epoch 464/1001:  11%|█         | 1/9 [00:00<00:02,  3.24it/s, Loss=0.234]
+Epoch 464/1001:  11%|█         | 1/9 [00:00<00:02,  3.24it/s, Loss=0.233]
+Epoch 464/1001:  89%|████████▉ | 8/9 [00:00<00:00, 23.39it/s, Loss=0.233]
+Epoch 464/1001:  89%|████████▉ | 8/9 [00:00<00:00, 23.39it/s, Loss=0.235]
+Epoch 464/1001: 100%|██████████| 9/9 [00:00<00:00, 18.68it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 465/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 465/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 465/1001:  11%|█         | 1/9 [00:00<00:01,  4.68it/s, Loss=0.229]
+Epoch 465/1001:  11%|█         | 1/9 [00:00<00:01,  4.68it/s, Loss=0.231]
+Epoch 465/1001:  11%|█         | 1/9 [00:00<00:01,  4.68it/s, Loss=0.232]
+Epoch 465/1001:  11%|█         | 1/9 [00:00<00:01,  4.68it/s, Loss=0.232]
+Epoch 465/1001:  11%|█         | 1/9 [00:00<00:01,  4.68it/s, Loss=0.233]
+Epoch 465/1001:  11%|█         | 1/9 [00:00<00:01,  4.68it/s, Loss=0.23] 
+Epoch 465/1001:  11%|█         | 1/9 [00:00<00:01,  4.68it/s, Loss=0.234]
+Epoch 465/1001:  11%|█         | 1/9 [00:00<00:01,  4.68it/s, Loss=0.234]
+Epoch 465/1001:  11%|█         | 1/9 [00:00<00:01,  4.68it/s, Loss=0.233]
+Epoch 465/1001: 100%|██████████| 9/9 [00:00<00:00, 26.67it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 466/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 466/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 466/1001:  11%|█         | 1/9 [00:00<00:01,  5.08it/s, Loss=0.237]
+Epoch 466/1001:  11%|█         | 1/9 [00:00<00:01,  5.08it/s, Loss=0.239]
+Epoch 466/1001:  11%|█         | 1/9 [00:00<00:01,  5.08it/s, Loss=0.233]
+Epoch 466/1001:  11%|█         | 1/9 [00:00<00:01,  5.08it/s, Loss=0.235]
+Epoch 466/1001:  11%|█         | 1/9 [00:00<00:01,  5.08it/s, Loss=0.242]
+Epoch 466/1001:  11%|█         | 1/9 [00:00<00:01,  5.08it/s, Loss=0.232]
+Epoch 466/1001:  11%|█         | 1/9 [00:00<00:01,  5.08it/s, Loss=0.236]
+Epoch 466/1001:  11%|█         | 1/9 [00:00<00:01,  5.08it/s, Loss=0.237]
+Epoch 466/1001:  11%|█         | 1/9 [00:00<00:01,  5.08it/s, Loss=0.231]
+Epoch 466/1001: 100%|██████████| 9/9 [00:00<00:00, 35.02it/s, Loss=0.231]
+Epoch 466/1001: 100%|██████████| 9/9 [00:00<00:00, 24.46it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 467/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 467/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 467/1001:  11%|█         | 1/9 [00:00<00:01,  4.91it/s, Loss=0.237]
+Epoch 467/1001:  11%|█         | 1/9 [00:00<00:01,  4.91it/s, Loss=0.237]
+Epoch 467/1001:  11%|█         | 1/9 [00:00<00:01,  4.91it/s, Loss=0.238]
+Epoch 467/1001:  11%|█         | 1/9 [00:00<00:01,  4.91it/s, Loss=0.227]
+Epoch 467/1001:  11%|█         | 1/9 [00:00<00:01,  4.91it/s, Loss=0.237]
+Epoch 467/1001:  11%|█         | 1/9 [00:00<00:01,  4.91it/s, Loss=0.236]
+Epoch 467/1001:  11%|█         | 1/9 [00:00<00:01,  4.91it/s, Loss=0.24] 
+Epoch 467/1001:  11%|█         | 1/9 [00:00<00:01,  4.91it/s, Loss=0.232]
+Epoch 467/1001:  11%|█         | 1/9 [00:00<00:01,  4.91it/s, Loss=0.226]
+Epoch 467/1001: 100%|██████████| 9/9 [00:00<00:00, 22.69it/s, Loss=0.226]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 468/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 468/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 468/1001:  11%|█         | 1/9 [00:00<00:01,  4.40it/s, Loss=0.237]
+Epoch 468/1001:  11%|█         | 1/9 [00:00<00:01,  4.40it/s, Loss=0.23] 
+Epoch 468/1001:  11%|█         | 1/9 [00:00<00:01,  4.40it/s, Loss=0.234]
+Epoch 468/1001:  11%|█         | 1/9 [00:00<00:01,  4.40it/s, Loss=0.232]
+Epoch 468/1001:  11%|█         | 1/9 [00:00<00:01,  4.40it/s, Loss=0.234]
+Epoch 468/1001:  11%|█         | 1/9 [00:00<00:01,  4.40it/s, Loss=0.233]
+Epoch 468/1001:  11%|█         | 1/9 [00:00<00:01,  4.40it/s, Loss=0.236]
+Epoch 468/1001:  11%|█         | 1/9 [00:00<00:01,  4.40it/s, Loss=0.23] 
+Epoch 468/1001:  11%|█         | 1/9 [00:00<00:01,  4.40it/s, Loss=0.232]
+Epoch 468/1001: 100%|██████████| 9/9 [00:00<00:00, 23.84it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 469/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 469/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 469/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.23]
+Epoch 469/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.23]
+Epoch 469/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.234]
+Epoch 469/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.232]
+Epoch 469/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.233]
+Epoch 469/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.237]
+Epoch 469/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.238]
+Epoch 469/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.228]
+Epoch 469/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.231]
+Epoch 469/1001: 100%|██████████| 9/9 [00:00<00:00, 21.86it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 470/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 470/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 470/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.235]
+Epoch 470/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.228]
+Epoch 470/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.226]
+Epoch 470/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.233]
+Epoch 470/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.236]
+Epoch 470/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.237]
+Epoch 470/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.231]
+Epoch 470/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.236]
+Epoch 470/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.236]
+Epoch 470/1001: 100%|██████████| 9/9 [00:00<00:00, 19.38it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 471/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 471/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 471/1001:  11%|█         | 1/9 [00:00<00:03,  2.54it/s, Loss=0.238]
+Epoch 471/1001:  11%|█         | 1/9 [00:00<00:03,  2.54it/s, Loss=0.244]
+Epoch 471/1001:  11%|█         | 1/9 [00:00<00:03,  2.54it/s, Loss=0.232]
+Epoch 471/1001:  11%|█         | 1/9 [00:00<00:03,  2.54it/s, Loss=0.237]
+Epoch 471/1001:  11%|█         | 1/9 [00:00<00:03,  2.54it/s, Loss=0.234]
+Epoch 471/1001:  11%|█         | 1/9 [00:00<00:03,  2.54it/s, Loss=0.231]
+Epoch 471/1001:  11%|█         | 1/9 [00:00<00:03,  2.54it/s, Loss=0.236]
+Epoch 471/1001:  11%|█         | 1/9 [00:00<00:03,  2.54it/s, Loss=0.232]
+Epoch 471/1001:  11%|█         | 1/9 [00:00<00:03,  2.54it/s, Loss=0.239]
+Epoch 471/1001: 100%|██████████| 9/9 [00:00<00:00, 16.23it/s, Loss=0.239]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 472/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 472/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 472/1001:  11%|█         | 1/9 [00:00<00:02,  2.73it/s, Loss=0.232]
+Epoch 472/1001:  11%|█         | 1/9 [00:00<00:02,  2.73it/s, Loss=0.235]
+Epoch 472/1001:  11%|█         | 1/9 [00:00<00:02,  2.73it/s, Loss=0.232]
+Epoch 472/1001:  11%|█         | 1/9 [00:00<00:02,  2.73it/s, Loss=0.23] 
+Epoch 472/1001:  11%|█         | 1/9 [00:00<00:02,  2.73it/s, Loss=0.226]
+Epoch 472/1001:  11%|█         | 1/9 [00:00<00:02,  2.73it/s, Loss=0.238]
+Epoch 472/1001:  11%|█         | 1/9 [00:00<00:02,  2.73it/s, Loss=0.232]
+Epoch 472/1001:  11%|█         | 1/9 [00:00<00:02,  2.73it/s, Loss=0.232]
+Epoch 472/1001:  11%|█         | 1/9 [00:00<00:02,  2.73it/s, Loss=0.237]
+Epoch 472/1001: 100%|██████████| 9/9 [00:00<00:00, 17.37it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 473/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 473/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.239]
+Epoch 473/1001:  11%|█         | 1/9 [00:00<00:02,  3.24it/s, Loss=0.239]
+Epoch 473/1001:  11%|█         | 1/9 [00:00<00:02,  3.24it/s, Loss=0.229]
+Epoch 473/1001:  11%|█         | 1/9 [00:00<00:02,  3.24it/s, Loss=0.234]
+Epoch 473/1001:  11%|█         | 1/9 [00:00<00:02,  3.24it/s, Loss=0.233]
+Epoch 473/1001:  11%|█         | 1/9 [00:00<00:02,  3.24it/s, Loss=0.228]
+Epoch 473/1001:  11%|█         | 1/9 [00:00<00:02,  3.24it/s, Loss=0.226]
+Epoch 473/1001:  11%|█         | 1/9 [00:00<00:02,  3.24it/s, Loss=0.234]
+Epoch 473/1001:  11%|█         | 1/9 [00:00<00:02,  3.24it/s, Loss=0.232]
+Epoch 473/1001:  11%|█         | 1/9 [00:00<00:02,  3.24it/s, Loss=0.234]
+Epoch 473/1001: 100%|██████████| 9/9 [00:00<00:00, 20.12it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 474/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 474/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 474/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.232]
+Epoch 474/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.239]
+Epoch 474/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.235]
+Epoch 474/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.239]
+Epoch 474/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.233]
+Epoch 474/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.24] 
+Epoch 474/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.235]
+Epoch 474/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.237]
+Epoch 474/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.234]
+Epoch 474/1001: 100%|██████████| 9/9 [00:00<00:00, 21.65it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 475/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 475/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 475/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.231]
+Epoch 475/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.235]
+Epoch 475/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.236]
+Epoch 475/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.235]
+Epoch 475/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.236]
+Epoch 475/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.236]
+Epoch 475/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.237]
+Epoch 475/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.238]
+Epoch 475/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.234]
+Epoch 475/1001: 100%|██████████| 9/9 [00:00<00:00, 23.94it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 476/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 476/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 476/1001:  11%|█         | 1/9 [00:00<00:01,  5.66it/s, Loss=0.233]
+Epoch 476/1001:  11%|█         | 1/9 [00:00<00:01,  5.66it/s, Loss=0.234]
+Epoch 476/1001:  11%|█         | 1/9 [00:00<00:01,  5.66it/s, Loss=0.226]
+Epoch 476/1001:  11%|█         | 1/9 [00:00<00:01,  5.66it/s, Loss=0.23] 
+Epoch 476/1001:  11%|█         | 1/9 [00:00<00:01,  5.66it/s, Loss=0.232]
+Epoch 476/1001:  11%|█         | 1/9 [00:00<00:01,  5.66it/s, Loss=0.233]
+Epoch 476/1001:  11%|█         | 1/9 [00:00<00:01,  5.66it/s, Loss=0.231]
+Epoch 476/1001:  11%|█         | 1/9 [00:00<00:01,  5.66it/s, Loss=0.233]
+Epoch 476/1001:  89%|████████▉ | 8/9 [00:00<00:00, 31.89it/s, Loss=0.233]
+Epoch 476/1001:  89%|████████▉ | 8/9 [00:00<00:00, 31.89it/s, Loss=0.237]
+Epoch 476/1001: 100%|██████████| 9/9 [00:00<00:00, 24.72it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 477/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 477/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 477/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.234]
+Epoch 477/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.234]
+Epoch 477/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.23] 
+Epoch 477/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.234]
+Epoch 477/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.233]
+Epoch 477/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.231]
+Epoch 477/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.233]
+Epoch 477/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.235]
+Epoch 477/1001:  11%|█         | 1/9 [00:00<00:01,  4.50it/s, Loss=0.235]
+Epoch 477/1001: 100%|██████████| 9/9 [00:00<00:00, 25.93it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 478/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 478/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.239]
+Epoch 478/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.239]
+Epoch 478/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.233]
+Epoch 478/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.237]
+Epoch 478/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.237]
+Epoch 478/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.236]
+Epoch 478/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.232]
+Epoch 478/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.228]
+Epoch 478/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.233]
+Epoch 478/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.236]
+Epoch 478/1001: 100%|██████████| 9/9 [00:00<00:00, 26.94it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 479/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 479/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 479/1001:  11%|█         | 1/9 [00:00<00:01,  6.01it/s, Loss=0.23]
+Epoch 479/1001:  11%|█         | 1/9 [00:00<00:01,  6.01it/s, Loss=0.234]
+Epoch 479/1001:  11%|█         | 1/9 [00:00<00:01,  6.01it/s, Loss=0.236]
+Epoch 479/1001:  11%|█         | 1/9 [00:00<00:01,  6.01it/s, Loss=0.236]
+Epoch 479/1001:  11%|█         | 1/9 [00:00<00:01,  6.01it/s, Loss=0.234]
+Epoch 479/1001:  11%|█         | 1/9 [00:00<00:01,  6.01it/s, Loss=0.233]
+Epoch 479/1001:  11%|█         | 1/9 [00:00<00:01,  6.01it/s, Loss=0.24] 
+Epoch 479/1001:  11%|█         | 1/9 [00:00<00:01,  6.01it/s, Loss=0.234]
+Epoch 479/1001:  11%|█         | 1/9 [00:00<00:01,  6.01it/s, Loss=0.235]
+Epoch 479/1001: 100%|██████████| 9/9 [00:00<00:00, 28.45it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 480/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 480/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 480/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.231]
+Epoch 480/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.227]
+Epoch 480/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.238]
+Epoch 480/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.229]
+Epoch 480/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.23] 
+Epoch 480/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.224]
+Epoch 480/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.234]
+Epoch 480/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.234]
+Epoch 480/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.39it/s, Loss=0.234]
+Epoch 480/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.39it/s, Loss=0.236]
+Epoch 480/1001: 100%|██████████| 9/9 [00:00<00:00, 20.78it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 481/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 481/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 481/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.234]
+Epoch 481/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.237]
+Epoch 481/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.236]
+Epoch 481/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.233]
+Epoch 481/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.237]
+Epoch 481/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.236]
+Epoch 481/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.23] 
+Epoch 481/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.236]
+Epoch 481/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.232]
+Epoch 481/1001: 100%|██████████| 9/9 [00:00<00:00, 31.21it/s, Loss=0.232]
+Epoch 481/1001: 100%|██████████| 9/9 [00:00<00:00, 22.70it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 482/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 482/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 482/1001:  11%|█         | 1/9 [00:00<00:01,  5.85it/s, Loss=0.234]
+Epoch 482/1001:  11%|█         | 1/9 [00:00<00:01,  5.85it/s, Loss=0.236]
+Epoch 482/1001:  11%|█         | 1/9 [00:00<00:01,  5.85it/s, Loss=0.233]
+Epoch 482/1001:  11%|█         | 1/9 [00:00<00:01,  5.85it/s, Loss=0.233]
+Epoch 482/1001:  11%|█         | 1/9 [00:00<00:01,  5.85it/s, Loss=0.23] 
+Epoch 482/1001:  11%|█         | 1/9 [00:00<00:01,  5.85it/s, Loss=0.234]
+Epoch 482/1001:  11%|█         | 1/9 [00:00<00:01,  5.85it/s, Loss=0.237]
+Epoch 482/1001:  11%|█         | 1/9 [00:00<00:01,  5.85it/s, Loss=0.23] 
+Epoch 482/1001:  11%|█         | 1/9 [00:00<00:01,  5.85it/s, Loss=0.238]
+Epoch 482/1001: 100%|██████████| 9/9 [00:00<00:00, 29.69it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 483/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 483/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 483/1001:  11%|█         | 1/9 [00:00<00:01,  6.49it/s, Loss=0.238]
+Epoch 483/1001:  11%|█         | 1/9 [00:00<00:01,  6.49it/s, Loss=0.236]
+Epoch 483/1001:  11%|█         | 1/9 [00:00<00:01,  6.49it/s, Loss=0.237]
+Epoch 483/1001:  11%|█         | 1/9 [00:00<00:01,  6.49it/s, Loss=0.229]
+Epoch 483/1001:  11%|█         | 1/9 [00:00<00:01,  6.49it/s, Loss=0.229]
+Epoch 483/1001:  11%|█         | 1/9 [00:00<00:01,  6.49it/s, Loss=0.229]
+Epoch 483/1001:  11%|█         | 1/9 [00:00<00:01,  6.49it/s, Loss=0.238]
+Epoch 483/1001:  11%|█         | 1/9 [00:00<00:01,  6.49it/s, Loss=0.237]
+Epoch 483/1001:  89%|████████▉ | 8/9 [00:00<00:00, 35.72it/s, Loss=0.237]
+Epoch 483/1001:  89%|████████▉ | 8/9 [00:00<00:00, 35.72it/s, Loss=0.238]
+Epoch 483/1001: 100%|██████████| 9/9 [00:00<00:00, 28.35it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 484/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 484/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 484/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.237]
+Epoch 484/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.227]
+Epoch 484/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.244]
+Epoch 484/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.236]
+Epoch 484/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.237]
+Epoch 484/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.234]
+Epoch 484/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.234]
+Epoch 484/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.232]
+Epoch 484/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.237]
+Epoch 484/1001: 100%|██████████| 9/9 [00:00<00:00, 23.93it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 485/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 485/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 485/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.235]
+Epoch 485/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.232]
+Epoch 485/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.241]
+Epoch 485/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.229]
+Epoch 485/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.233]
+Epoch 485/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.231]
+Epoch 485/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.236]
+Epoch 485/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.236]
+Epoch 485/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.235]
+Epoch 485/1001: 100%|██████████| 9/9 [00:00<00:00, 29.40it/s, Loss=0.235]
+Epoch 485/1001: 100%|██████████| 9/9 [00:00<00:00, 20.48it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 486/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 486/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 486/1001:  11%|█         | 1/9 [00:00<00:02,  2.78it/s, Loss=0.237]
+Epoch 486/1001:  11%|█         | 1/9 [00:00<00:02,  2.78it/s, Loss=0.234]
+Epoch 486/1001:  11%|█         | 1/9 [00:00<00:02,  2.78it/s, Loss=0.233]
+Epoch 486/1001:  11%|█         | 1/9 [00:00<00:02,  2.78it/s, Loss=0.233]
+Epoch 486/1001:  11%|█         | 1/9 [00:00<00:02,  2.78it/s, Loss=0.233]
+Epoch 486/1001:  11%|█         | 1/9 [00:00<00:02,  2.78it/s, Loss=0.232]
+Epoch 486/1001:  11%|█         | 1/9 [00:00<00:02,  2.78it/s, Loss=0.229]
+Epoch 486/1001:  11%|█         | 1/9 [00:00<00:02,  2.78it/s, Loss=0.237]
+Epoch 486/1001:  11%|█         | 1/9 [00:00<00:02,  2.78it/s, Loss=0.232]
+Epoch 486/1001: 100%|██████████| 9/9 [00:00<00:00, 18.20it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 487/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 487/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 487/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.231]
+Epoch 487/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.233]
+Epoch 487/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.235]
+Epoch 487/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.237]
+Epoch 487/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.241]
+Epoch 487/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.228]
+Epoch 487/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.232]
+Epoch 487/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.231]
+Epoch 487/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.229]
+Epoch 487/1001: 100%|██████████| 9/9 [00:00<00:00, 29.75it/s, Loss=0.229]
+Epoch 487/1001: 100%|██████████| 9/9 [00:00<00:00, 20.23it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 488/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 488/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 488/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.235]
+Epoch 488/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.227]
+Epoch 488/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.232]
+Epoch 488/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.232]
+Epoch 488/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.233]
+Epoch 488/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.237]
+Epoch 488/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.238]
+Epoch 488/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.231]
+Epoch 488/1001:  89%|████████▉ | 8/9 [00:00<00:00, 23.82it/s, Loss=0.231]
+Epoch 488/1001:  89%|████████▉ | 8/9 [00:00<00:00, 23.82it/s, Loss=0.235]
+Epoch 488/1001: 100%|██████████| 9/9 [00:00<00:00, 18.59it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 489/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 489/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.243]
+Epoch 489/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.243]
+Epoch 489/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.233]
+Epoch 489/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.234]
+Epoch 489/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.236]
+Epoch 489/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.236]
+Epoch 489/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.229]
+Epoch 489/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.233]
+Epoch 489/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.236]
+Epoch 489/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.237]
+Epoch 489/1001: 100%|██████████| 9/9 [00:00<00:00, 26.33it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 490/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 490/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 490/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.229]
+Epoch 490/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.232]
+Epoch 490/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.229]
+Epoch 490/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.227]
+Epoch 490/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.231]
+Epoch 490/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.236]
+Epoch 490/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.23] 
+Epoch 490/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.236]
+Epoch 490/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.235]
+Epoch 490/1001: 100%|██████████| 9/9 [00:00<00:00, 22.54it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 491/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 491/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 491/1001:  11%|█         | 1/9 [00:00<00:01,  4.72it/s, Loss=0.236]
+Epoch 491/1001:  11%|█         | 1/9 [00:00<00:01,  4.72it/s, Loss=0.227]
+Epoch 491/1001:  11%|█         | 1/9 [00:00<00:01,  4.72it/s, Loss=0.235]
+Epoch 491/1001:  11%|█         | 1/9 [00:00<00:01,  4.72it/s, Loss=0.23] 
+Epoch 491/1001:  11%|█         | 1/9 [00:00<00:01,  4.72it/s, Loss=0.229]
+Epoch 491/1001:  11%|█         | 1/9 [00:00<00:01,  4.72it/s, Loss=0.233]
+Epoch 491/1001:  11%|█         | 1/9 [00:00<00:01,  4.72it/s, Loss=0.236]
+Epoch 491/1001:  11%|█         | 1/9 [00:00<00:01,  4.72it/s, Loss=0.232]
+Epoch 491/1001:  11%|█         | 1/9 [00:00<00:01,  4.72it/s, Loss=0.233]
+Epoch 491/1001: 100%|██████████| 9/9 [00:00<00:00, 25.44it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 492/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 492/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 492/1001:  11%|█         | 1/9 [00:00<00:01,  7.41it/s, Loss=0.234]
+Epoch 492/1001:  11%|█         | 1/9 [00:00<00:01,  7.41it/s, Loss=0.236]
+Epoch 492/1001:  11%|█         | 1/9 [00:00<00:01,  7.41it/s, Loss=0.231]
+Epoch 492/1001:  11%|█         | 1/9 [00:00<00:01,  7.41it/s, Loss=0.236]
+Epoch 492/1001:  11%|█         | 1/9 [00:00<00:01,  7.41it/s, Loss=0.233]
+Epoch 492/1001:  11%|█         | 1/9 [00:00<00:01,  7.41it/s, Loss=0.232]
+Epoch 492/1001:  11%|█         | 1/9 [00:00<00:01,  7.41it/s, Loss=0.23] 
+Epoch 492/1001:  11%|█         | 1/9 [00:00<00:01,  7.41it/s, Loss=0.228]
+Epoch 492/1001:  11%|█         | 1/9 [00:00<00:01,  7.41it/s, Loss=0.232]
+Epoch 492/1001: 100%|██████████| 9/9 [00:00<00:00, 35.17it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 493/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 493/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 493/1001:  11%|█         | 1/9 [00:00<00:01,  6.01it/s, Loss=0.233]
+Epoch 493/1001:  11%|█         | 1/9 [00:00<00:01,  6.01it/s, Loss=0.236]
+Epoch 493/1001:  11%|█         | 1/9 [00:00<00:01,  6.01it/s, Loss=0.231]
+Epoch 493/1001:  11%|█         | 1/9 [00:00<00:01,  6.01it/s, Loss=0.233]
+Epoch 493/1001:  11%|█         | 1/9 [00:00<00:01,  6.01it/s, Loss=0.231]
+Epoch 493/1001:  11%|█         | 1/9 [00:00<00:01,  6.01it/s, Loss=0.236]
+Epoch 493/1001:  11%|█         | 1/9 [00:00<00:01,  6.01it/s, Loss=0.236]
+Epoch 493/1001:  11%|█         | 1/9 [00:00<00:01,  6.01it/s, Loss=0.229]
+Epoch 493/1001:  89%|████████▉ | 8/9 [00:00<00:00, 35.16it/s, Loss=0.229]
+Epoch 493/1001:  89%|████████▉ | 8/9 [00:00<00:00, 35.16it/s, Loss=0.232]
+Epoch 493/1001: 100%|██████████| 9/9 [00:00<00:00, 27.57it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 494/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 494/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 494/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.236]
+Epoch 494/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.232]
+Epoch 494/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.239]
+Epoch 494/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.235]
+Epoch 494/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.235]
+Epoch 494/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.236]
+Epoch 494/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.234]
+Epoch 494/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.239]
+Epoch 494/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.235]
+Epoch 494/1001: 100%|██████████| 9/9 [00:00<00:00, 22.05it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 495/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 495/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 495/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.23]
+Epoch 495/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.231]
+Epoch 495/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.233]
+Epoch 495/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.233]
+Epoch 495/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.234]
+Epoch 495/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.231]
+Epoch 495/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.235]
+Epoch 495/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.229]
+Epoch 495/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.236]
+Epoch 495/1001: 100%|██████████| 9/9 [00:00<00:00, 23.56it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 496/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 496/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 496/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.23]
+Epoch 496/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.232]
+Epoch 496/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.23] 
+Epoch 496/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.235]
+Epoch 496/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.234]
+Epoch 496/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.232]
+Epoch 496/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.233]
+Epoch 496/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.227]
+Epoch 496/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.231]
+Epoch 496/1001: 100%|██████████| 9/9 [00:00<00:00, 23.08it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 497/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 497/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 497/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.231]
+Epoch 497/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.236]
+Epoch 497/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.232]
+Epoch 497/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.227]
+Epoch 497/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.233]
+Epoch 497/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.233]
+Epoch 497/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.234]
+Epoch 497/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.234]
+Epoch 497/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.234]
+Epoch 497/1001: 100%|██████████| 9/9 [00:00<00:00, 25.56it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 498/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 498/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.225]
+Epoch 498/1001:  11%|█         | 1/9 [00:00<00:01,  5.90it/s, Loss=0.225]
+Epoch 498/1001:  11%|█         | 1/9 [00:00<00:01,  5.90it/s, Loss=0.23] 
+Epoch 498/1001:  11%|█         | 1/9 [00:00<00:01,  5.90it/s, Loss=0.234]
+Epoch 498/1001:  11%|█         | 1/9 [00:00<00:01,  5.90it/s, Loss=0.237]
+Epoch 498/1001:  11%|█         | 1/9 [00:00<00:01,  5.90it/s, Loss=0.238]
+Epoch 498/1001:  11%|█         | 1/9 [00:00<00:01,  5.90it/s, Loss=0.233]
+Epoch 498/1001:  11%|█         | 1/9 [00:00<00:01,  5.90it/s, Loss=0.235]
+Epoch 498/1001:  78%|███████▊  | 7/9 [00:00<00:00, 30.02it/s, Loss=0.235]
+Epoch 498/1001:  78%|███████▊  | 7/9 [00:00<00:00, 30.02it/s, Loss=0.235]
+Epoch 498/1001:  78%|███████▊  | 7/9 [00:00<00:00, 30.02it/s, Loss=0.235]
+Epoch 498/1001: 100%|██████████| 9/9 [00:00<00:00, 25.65it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 499/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 499/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 499/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.237]
+Epoch 499/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.23] 
+Epoch 499/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.231]
+Epoch 499/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.236]
+Epoch 499/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.235]
+Epoch 499/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.232]
+Epoch 499/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.232]
+Epoch 499/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.23] 
+Epoch 499/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.231]
+Epoch 499/1001: 100%|██████████| 9/9 [00:00<00:00, 24.73it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 500/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 500/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 500/1001:  11%|█         | 1/9 [00:00<00:01,  6.08it/s, Loss=0.233]
+Epoch 500/1001:  11%|█         | 1/9 [00:00<00:01,  6.08it/s, Loss=0.233]
+Epoch 500/1001:  11%|█         | 1/9 [00:00<00:01,  6.08it/s, Loss=0.23] 
+Epoch 500/1001:  11%|█         | 1/9 [00:00<00:01,  6.08it/s, Loss=0.231]
+Epoch 500/1001:  11%|█         | 1/9 [00:00<00:01,  6.08it/s, Loss=0.232]
+Epoch 500/1001:  11%|█         | 1/9 [00:00<00:01,  6.08it/s, Loss=0.233]
+Epoch 500/1001:  11%|█         | 1/9 [00:00<00:01,  6.08it/s, Loss=0.233]
+Epoch 500/1001:  11%|█         | 1/9 [00:00<00:01,  6.08it/s, Loss=0.23] 
+Epoch 500/1001:  11%|█         | 1/9 [00:00<00:01,  6.08it/s, Loss=0.233]
+Epoch 500/1001: 100%|██████████| 9/9 [00:00<00:00, 31.42it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 501/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 501/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 501/1001:  11%|█         | 1/9 [00:00<00:01,  6.13it/s, Loss=0.235]
+Epoch 501/1001:  11%|█         | 1/9 [00:00<00:01,  6.13it/s, Loss=0.229]
+Epoch 501/1001:  11%|█         | 1/9 [00:00<00:01,  6.13it/s, Loss=0.231]
+Epoch 501/1001:  11%|█         | 1/9 [00:00<00:01,  6.13it/s, Loss=0.236]
+Epoch 501/1001:  11%|█         | 1/9 [00:00<00:01,  6.13it/s, Loss=0.238]
+Epoch 501/1001:  11%|█         | 1/9 [00:00<00:01,  6.13it/s, Loss=0.237]
+Epoch 501/1001:  11%|█         | 1/9 [00:00<00:01,  6.13it/s, Loss=0.239]
+Epoch 501/1001:  11%|█         | 1/9 [00:00<00:01,  6.13it/s, Loss=0.237]
+Epoch 501/1001:  11%|█         | 1/9 [00:00<00:01,  6.13it/s, Loss=0.231]
+Epoch 501/1001: 100%|██████████| 9/9 [00:00<00:00, 29.22it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 502/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 502/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 502/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.234]
+Epoch 502/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.234]
+Epoch 502/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.226]
+Epoch 502/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.238]
+Epoch 502/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.232]
+Epoch 502/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.239]
+Epoch 502/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.236]
+Epoch 502/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.237]
+Epoch 502/1001:  89%|████████▉ | 8/9 [00:00<00:00, 31.27it/s, Loss=0.237]
+Epoch 502/1001:  89%|████████▉ | 8/9 [00:00<00:00, 31.27it/s, Loss=0.234]
+Epoch 502/1001: 100%|██████████| 9/9 [00:00<00:00, 23.78it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 503/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 503/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 503/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.234]
+Epoch 503/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.231]
+Epoch 503/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.229]
+Epoch 503/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.234]
+Epoch 503/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.234]
+Epoch 503/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.233]
+Epoch 503/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.231]
+Epoch 503/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.232]
+Epoch 503/1001:  89%|████████▉ | 8/9 [00:00<00:00, 28.91it/s, Loss=0.232]
+Epoch 503/1001:  89%|████████▉ | 8/9 [00:00<00:00, 28.91it/s, Loss=0.237]
+Epoch 503/1001: 100%|██████████| 9/9 [00:00<00:00, 23.00it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 504/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 504/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 504/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.234]
+Epoch 504/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.234]
+Epoch 504/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.232]
+Epoch 504/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.233]
+Epoch 504/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.234]
+Epoch 504/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.232]
+Epoch 504/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.23] 
+Epoch 504/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.235]
+Epoch 504/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.227]
+Epoch 504/1001: 100%|██████████| 9/9 [00:00<00:00, 23.29it/s, Loss=0.227]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 505/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 505/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 505/1001:  11%|█         | 1/9 [00:00<00:01,  4.32it/s, Loss=0.234]
+Epoch 505/1001:  11%|█         | 1/9 [00:00<00:01,  4.32it/s, Loss=0.238]
+Epoch 505/1001:  11%|█         | 1/9 [00:00<00:01,  4.32it/s, Loss=0.232]
+Epoch 505/1001:  11%|█         | 1/9 [00:00<00:01,  4.32it/s, Loss=0.231]
+Epoch 505/1001:  11%|█         | 1/9 [00:00<00:01,  4.32it/s, Loss=0.238]
+Epoch 505/1001:  11%|█         | 1/9 [00:00<00:01,  4.32it/s, Loss=0.224]
+Epoch 505/1001:  11%|█         | 1/9 [00:00<00:01,  4.32it/s, Loss=0.234]
+Epoch 505/1001:  11%|█         | 1/9 [00:00<00:01,  4.32it/s, Loss=0.237]
+Epoch 505/1001:  11%|█         | 1/9 [00:00<00:01,  4.32it/s, Loss=0.235]
+Epoch 505/1001: 100%|██████████| 9/9 [00:00<00:00, 24.08it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 506/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 506/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 506/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.237]
+Epoch 506/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.236]
+Epoch 506/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.232]
+Epoch 506/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.231]
+Epoch 506/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.237]
+Epoch 506/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.231]
+Epoch 506/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.233]
+Epoch 506/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.228]
+Epoch 506/1001:  11%|█         | 1/9 [00:00<00:02,  3.86it/s, Loss=0.238]
+Epoch 506/1001: 100%|██████████| 9/9 [00:00<00:00, 22.96it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 507/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 507/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 507/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.234]
+Epoch 507/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.233]
+Epoch 507/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.238]
+Epoch 507/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.233]
+Epoch 507/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.227]
+Epoch 507/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.229]
+Epoch 507/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.238]
+Epoch 507/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.233]
+Epoch 507/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.228]
+Epoch 507/1001: 100%|██████████| 9/9 [00:00<00:00, 21.82it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 508/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 508/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 508/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.23]
+Epoch 508/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.231]
+Epoch 508/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.232]
+Epoch 508/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.23] 
+Epoch 508/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.234]
+Epoch 508/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.232]
+Epoch 508/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.235]
+Epoch 508/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.233]
+Epoch 508/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.235]
+Epoch 508/1001: 100%|██████████| 9/9 [00:00<00:00, 20.12it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 509/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 509/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 509/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.232]
+Epoch 509/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.231]
+Epoch 509/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.232]
+Epoch 509/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.232]
+Epoch 509/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.226]
+Epoch 509/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.231]
+Epoch 509/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.232]
+Epoch 509/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.234]
+Epoch 509/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.229]
+Epoch 509/1001: 100%|██████████| 9/9 [00:00<00:00, 21.87it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 510/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 510/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 510/1001:  11%|█         | 1/9 [00:00<00:02,  2.99it/s, Loss=0.237]
+Epoch 510/1001:  11%|█         | 1/9 [00:00<00:02,  2.99it/s, Loss=0.233]
+Epoch 510/1001:  11%|█         | 1/9 [00:00<00:02,  2.99it/s, Loss=0.228]
+Epoch 510/1001:  11%|█         | 1/9 [00:00<00:02,  2.99it/s, Loss=0.229]
+Epoch 510/1001:  11%|█         | 1/9 [00:00<00:02,  2.99it/s, Loss=0.23] 
+Epoch 510/1001:  11%|█         | 1/9 [00:00<00:02,  2.99it/s, Loss=0.234]
+Epoch 510/1001:  11%|█         | 1/9 [00:00<00:02,  2.99it/s, Loss=0.236]
+Epoch 510/1001:  11%|█         | 1/9 [00:00<00:02,  2.99it/s, Loss=0.234]
+Epoch 510/1001:  11%|█         | 1/9 [00:00<00:02,  2.99it/s, Loss=0.232]
+Epoch 510/1001: 100%|██████████| 9/9 [00:00<00:00, 18.78it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 511/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 511/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 511/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.234]
+Epoch 511/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.237]
+Epoch 511/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.241]
+Epoch 511/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.239]
+Epoch 511/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.234]
+Epoch 511/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.234]
+Epoch 511/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.23] 
+Epoch 511/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.235]
+Epoch 511/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.234]
+Epoch 511/1001: 100%|██████████| 9/9 [00:00<00:00, 19.75it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 512/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 512/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 512/1001:  11%|█         | 1/9 [00:00<00:02,  2.82it/s, Loss=0.236]
+Epoch 512/1001:  11%|█         | 1/9 [00:00<00:02,  2.82it/s, Loss=0.235]
+Epoch 512/1001:  11%|█         | 1/9 [00:00<00:02,  2.82it/s, Loss=0.23] 
+Epoch 512/1001:  11%|█         | 1/9 [00:00<00:02,  2.82it/s, Loss=0.228]
+Epoch 512/1001:  11%|█         | 1/9 [00:00<00:02,  2.82it/s, Loss=0.236]
+Epoch 512/1001:  11%|█         | 1/9 [00:00<00:02,  2.82it/s, Loss=0.235]
+Epoch 512/1001:  11%|█         | 1/9 [00:00<00:02,  2.82it/s, Loss=0.238]
+Epoch 512/1001:  11%|█         | 1/9 [00:00<00:02,  2.82it/s, Loss=0.233]
+Epoch 512/1001:  11%|█         | 1/9 [00:00<00:02,  2.82it/s, Loss=0.237]
+Epoch 512/1001: 100%|██████████| 9/9 [00:00<00:00, 17.69it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 513/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 513/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 513/1001:  11%|█         | 1/9 [00:00<00:03,  2.42it/s, Loss=0.234]
+Epoch 513/1001:  11%|█         | 1/9 [00:00<00:03,  2.42it/s, Loss=0.229]
+Epoch 513/1001:  11%|█         | 1/9 [00:00<00:03,  2.42it/s, Loss=0.231]
+Epoch 513/1001:  11%|█         | 1/9 [00:00<00:03,  2.42it/s, Loss=0.23] 
+Epoch 513/1001:  11%|█         | 1/9 [00:00<00:03,  2.42it/s, Loss=0.232]
+Epoch 513/1001:  11%|█         | 1/9 [00:00<00:03,  2.42it/s, Loss=0.231]
+Epoch 513/1001:  11%|█         | 1/9 [00:00<00:03,  2.42it/s, Loss=0.237]
+Epoch 513/1001:  11%|█         | 1/9 [00:00<00:03,  2.42it/s, Loss=0.236]
+Epoch 513/1001:  11%|█         | 1/9 [00:00<00:03,  2.42it/s, Loss=0.244]
+Epoch 513/1001: 100%|██████████| 9/9 [00:00<00:00, 15.69it/s, Loss=0.244]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 514/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 514/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 514/1001:  11%|█         | 1/9 [00:00<00:02,  2.71it/s, Loss=0.233]
+Epoch 514/1001:  11%|█         | 1/9 [00:00<00:02,  2.71it/s, Loss=0.232]
+Epoch 514/1001:  11%|█         | 1/9 [00:00<00:02,  2.71it/s, Loss=0.235]
+Epoch 514/1001:  11%|█         | 1/9 [00:00<00:02,  2.71it/s, Loss=0.239]
+Epoch 514/1001:  11%|█         | 1/9 [00:00<00:02,  2.71it/s, Loss=0.234]
+Epoch 514/1001:  11%|█         | 1/9 [00:00<00:02,  2.71it/s, Loss=0.233]
+Epoch 514/1001:  11%|█         | 1/9 [00:00<00:02,  2.71it/s, Loss=0.232]
+Epoch 514/1001:  78%|███████▊  | 7/9 [00:00<00:00, 18.59it/s, Loss=0.232]
+Epoch 514/1001:  78%|███████▊  | 7/9 [00:00<00:00, 18.59it/s, Loss=0.237]
+Epoch 514/1001:  78%|███████▊  | 7/9 [00:00<00:00, 18.59it/s, Loss=0.236]
+Epoch 514/1001: 100%|██████████| 9/9 [00:00<00:00, 15.97it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 515/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 515/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 515/1001:  11%|█         | 1/9 [00:00<00:02,  2.87it/s, Loss=0.232]
+Epoch 515/1001:  11%|█         | 1/9 [00:00<00:02,  2.87it/s, Loss=0.234]
+Epoch 515/1001:  11%|█         | 1/9 [00:00<00:02,  2.87it/s, Loss=0.236]
+Epoch 515/1001:  11%|█         | 1/9 [00:00<00:02,  2.87it/s, Loss=0.237]
+Epoch 515/1001:  11%|█         | 1/9 [00:00<00:02,  2.87it/s, Loss=0.232]
+Epoch 515/1001:  11%|█         | 1/9 [00:00<00:02,  2.87it/s, Loss=0.235]
+Epoch 515/1001:  11%|█         | 1/9 [00:00<00:02,  2.87it/s, Loss=0.236]
+Epoch 515/1001:  78%|███████▊  | 7/9 [00:00<00:00, 19.04it/s, Loss=0.236]
+Epoch 515/1001:  78%|███████▊  | 7/9 [00:00<00:00, 19.04it/s, Loss=0.23] 
+Epoch 515/1001:  78%|███████▊  | 7/9 [00:00<00:00, 19.04it/s, Loss=0.238]
+Epoch 515/1001: 100%|██████████| 9/9 [00:00<00:00, 16.44it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 516/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 516/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 516/1001:  11%|█         | 1/9 [00:00<00:02,  3.13it/s, Loss=0.23]
+Epoch 516/1001:  11%|█         | 1/9 [00:00<00:02,  3.13it/s, Loss=0.236]
+Epoch 516/1001:  11%|█         | 1/9 [00:00<00:02,  3.13it/s, Loss=0.229]
+Epoch 516/1001:  11%|█         | 1/9 [00:00<00:02,  3.13it/s, Loss=0.233]
+Epoch 516/1001:  11%|█         | 1/9 [00:00<00:02,  3.13it/s, Loss=0.241]
+Epoch 516/1001:  11%|█         | 1/9 [00:00<00:02,  3.13it/s, Loss=0.235]
+Epoch 516/1001:  11%|█         | 1/9 [00:00<00:02,  3.13it/s, Loss=0.234]
+Epoch 516/1001:  11%|█         | 1/9 [00:00<00:02,  3.13it/s, Loss=0.235]
+Epoch 516/1001:  11%|█         | 1/9 [00:00<00:02,  3.13it/s, Loss=0.232]
+Epoch 516/1001: 100%|██████████| 9/9 [00:00<00:00, 19.64it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 517/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 517/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 517/1001:  11%|█         | 1/9 [00:00<00:02,  3.49it/s, Loss=0.229]
+Epoch 517/1001:  11%|█         | 1/9 [00:00<00:02,  3.49it/s, Loss=0.238]
+Epoch 517/1001:  11%|█         | 1/9 [00:00<00:02,  3.49it/s, Loss=0.232]
+Epoch 517/1001:  11%|█         | 1/9 [00:00<00:02,  3.49it/s, Loss=0.236]
+Epoch 517/1001:  11%|█         | 1/9 [00:00<00:02,  3.49it/s, Loss=0.239]
+Epoch 517/1001:  11%|█         | 1/9 [00:00<00:02,  3.49it/s, Loss=0.231]
+Epoch 517/1001:  11%|█         | 1/9 [00:00<00:02,  3.49it/s, Loss=0.232]
+Epoch 517/1001:  11%|█         | 1/9 [00:00<00:02,  3.49it/s, Loss=0.232]
+Epoch 517/1001:  89%|████████▉ | 8/9 [00:00<00:00, 25.44it/s, Loss=0.232]
+Epoch 517/1001:  89%|████████▉ | 8/9 [00:00<00:00, 25.44it/s, Loss=0.235]
+Epoch 517/1001: 100%|██████████| 9/9 [00:00<00:00, 19.10it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 518/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 518/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 518/1001:  11%|█         | 1/9 [00:00<00:02,  3.23it/s, Loss=0.232]
+Epoch 518/1001:  11%|█         | 1/9 [00:00<00:02,  3.23it/s, Loss=0.237]
+Epoch 518/1001:  11%|█         | 1/9 [00:00<00:02,  3.23it/s, Loss=0.229]
+Epoch 518/1001:  11%|█         | 1/9 [00:00<00:02,  3.23it/s, Loss=0.233]
+Epoch 518/1001:  11%|█         | 1/9 [00:00<00:02,  3.23it/s, Loss=0.233]
+Epoch 518/1001:  11%|█         | 1/9 [00:00<00:02,  3.23it/s, Loss=0.234]
+Epoch 518/1001:  11%|█         | 1/9 [00:00<00:02,  3.23it/s, Loss=0.23] 
+Epoch 518/1001:  11%|█         | 1/9 [00:00<00:02,  3.23it/s, Loss=0.235]
+Epoch 518/1001:  11%|█         | 1/9 [00:00<00:02,  3.23it/s, Loss=0.234]
+Epoch 518/1001: 100%|██████████| 9/9 [00:00<00:00, 19.57it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 519/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 519/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 519/1001:  11%|█         | 1/9 [00:00<00:02,  3.55it/s, Loss=0.235]
+Epoch 519/1001:  11%|█         | 1/9 [00:00<00:02,  3.55it/s, Loss=0.235]
+Epoch 519/1001:  11%|█         | 1/9 [00:00<00:02,  3.55it/s, Loss=0.231]
+Epoch 519/1001:  11%|█         | 1/9 [00:00<00:02,  3.55it/s, Loss=0.232]
+Epoch 519/1001:  11%|█         | 1/9 [00:00<00:02,  3.55it/s, Loss=0.233]
+Epoch 519/1001:  11%|█         | 1/9 [00:00<00:02,  3.55it/s, Loss=0.238]
+Epoch 519/1001:  11%|█         | 1/9 [00:00<00:02,  3.55it/s, Loss=0.233]
+Epoch 519/1001:  11%|█         | 1/9 [00:00<00:02,  3.55it/s, Loss=0.227]
+Epoch 519/1001:  11%|█         | 1/9 [00:00<00:02,  3.55it/s, Loss=0.232]
+Epoch 519/1001: 100%|██████████| 9/9 [00:00<00:00, 21.70it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 520/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 520/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 520/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.233]
+Epoch 520/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.233]
+Epoch 520/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.231]
+Epoch 520/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.235]
+Epoch 520/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.234]
+Epoch 520/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.237]
+Epoch 520/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.23] 
+Epoch 520/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.232]
+Epoch 520/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.232]
+Epoch 520/1001: 100%|██████████| 9/9 [00:00<00:00, 19.87it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 521/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 521/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 521/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.234]
+Epoch 521/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.226]
+Epoch 521/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.229]
+Epoch 521/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.24] 
+Epoch 521/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.235]
+Epoch 521/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.233]
+Epoch 521/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.238]
+Epoch 521/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.232]
+Epoch 521/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.235]
+Epoch 521/1001: 100%|██████████| 9/9 [00:00<00:00, 18.60it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 522/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 522/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 522/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.235]
+Epoch 522/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.234]
+Epoch 522/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.239]
+Epoch 522/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.229]
+Epoch 522/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.232]
+Epoch 522/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.238]
+Epoch 522/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.232]
+Epoch 522/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.235]
+Epoch 522/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.236]
+Epoch 522/1001: 100%|██████████| 9/9 [00:00<00:00, 20.18it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 523/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 523/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 523/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.23]
+Epoch 523/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.23]
+Epoch 523/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.234]
+Epoch 523/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.237]
+Epoch 523/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.235]
+Epoch 523/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.24] 
+Epoch 523/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.237]
+Epoch 523/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.233]
+Epoch 523/1001:  89%|████████▉ | 8/9 [00:00<00:00, 22.82it/s, Loss=0.233]
+Epoch 523/1001:  89%|████████▉ | 8/9 [00:00<00:00, 22.82it/s, Loss=0.239]
+Epoch 523/1001: 100%|██████████| 9/9 [00:00<00:00, 17.65it/s, Loss=0.239]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 524/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 524/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 524/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.229]
+Epoch 524/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.228]
+Epoch 524/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.236]
+Epoch 524/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.229]
+Epoch 524/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.23] 
+Epoch 524/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.231]
+Epoch 524/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.235]
+Epoch 524/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.234]
+Epoch 524/1001:  11%|█         | 1/9 [00:00<00:01,  4.13it/s, Loss=0.231]
+Epoch 524/1001: 100%|██████████| 9/9 [00:00<00:00, 24.82it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 525/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 525/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 525/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.232]
+Epoch 525/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.235]
+Epoch 525/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.235]
+Epoch 525/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.229]
+Epoch 525/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.237]
+Epoch 525/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.232]
+Epoch 525/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.232]
+Epoch 525/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.232]
+Epoch 525/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.234]
+Epoch 525/1001: 100%|██████████| 9/9 [00:00<00:00, 24.30it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 526/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 526/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 526/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.231]
+Epoch 526/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.234]
+Epoch 526/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.233]
+Epoch 526/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.232]
+Epoch 526/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.236]
+Epoch 526/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.238]
+Epoch 526/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.238]
+Epoch 526/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.228]
+Epoch 526/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.233]
+Epoch 526/1001: 100%|██████████| 9/9 [00:00<00:00, 24.94it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 527/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 527/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 527/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.228]
+Epoch 527/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.229]
+Epoch 527/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.233]
+Epoch 527/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.227]
+Epoch 527/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.233]
+Epoch 527/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.237]
+Epoch 527/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.231]
+Epoch 527/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.234]
+Epoch 527/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.231]
+Epoch 527/1001: 100%|██████████| 9/9 [00:00<00:00, 31.04it/s, Loss=0.231]
+Epoch 527/1001: 100%|██████████| 9/9 [00:00<00:00, 22.92it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 528/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 528/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 528/1001:  11%|█         | 1/9 [00:00<00:01,  6.50it/s, Loss=0.236]
+Epoch 528/1001:  11%|█         | 1/9 [00:00<00:01,  6.50it/s, Loss=0.236]
+Epoch 528/1001:  11%|█         | 1/9 [00:00<00:01,  6.50it/s, Loss=0.238]
+Epoch 528/1001:  11%|█         | 1/9 [00:00<00:01,  6.50it/s, Loss=0.239]
+Epoch 528/1001:  11%|█         | 1/9 [00:00<00:01,  6.50it/s, Loss=0.23] 
+Epoch 528/1001:  11%|█         | 1/9 [00:00<00:01,  6.50it/s, Loss=0.228]
+Epoch 528/1001:  11%|█         | 1/9 [00:00<00:01,  6.50it/s, Loss=0.231]
+Epoch 528/1001:  11%|█         | 1/9 [00:00<00:01,  6.50it/s, Loss=0.233]
+Epoch 528/1001:  11%|█         | 1/9 [00:00<00:01,  6.50it/s, Loss=0.237]
+Epoch 528/1001: 100%|██████████| 9/9 [00:00<00:00, 32.61it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 529/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 529/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 529/1001:  11%|█         | 1/9 [00:00<00:01,  5.63it/s, Loss=0.236]
+Epoch 529/1001:  11%|█         | 1/9 [00:00<00:01,  5.63it/s, Loss=0.236]
+Epoch 529/1001:  11%|█         | 1/9 [00:00<00:01,  5.63it/s, Loss=0.232]
+Epoch 529/1001:  11%|█         | 1/9 [00:00<00:01,  5.63it/s, Loss=0.235]
+Epoch 529/1001:  11%|█         | 1/9 [00:00<00:01,  5.63it/s, Loss=0.234]
+Epoch 529/1001:  11%|█         | 1/9 [00:00<00:01,  5.63it/s, Loss=0.235]
+Epoch 529/1001:  11%|█         | 1/9 [00:00<00:01,  5.63it/s, Loss=0.227]
+Epoch 529/1001:  11%|█         | 1/9 [00:00<00:01,  5.63it/s, Loss=0.236]
+Epoch 529/1001:  11%|█         | 1/9 [00:00<00:01,  5.63it/s, Loss=0.23] 
+Epoch 529/1001: 100%|██████████| 9/9 [00:00<00:00, 28.13it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 530/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 530/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.239]
+Epoch 530/1001:  11%|█         | 1/9 [00:00<00:03,  2.55it/s, Loss=0.239]
+Epoch 530/1001:  11%|█         | 1/9 [00:00<00:03,  2.55it/s, Loss=0.231]
+Epoch 530/1001:  11%|█         | 1/9 [00:00<00:03,  2.55it/s, Loss=0.228]
+Epoch 530/1001:  11%|█         | 1/9 [00:00<00:03,  2.55it/s, Loss=0.234]
+Epoch 530/1001:  11%|█         | 1/9 [00:00<00:03,  2.55it/s, Loss=0.233]
+Epoch 530/1001:  11%|█         | 1/9 [00:00<00:03,  2.55it/s, Loss=0.238]
+Epoch 530/1001:  11%|█         | 1/9 [00:00<00:03,  2.55it/s, Loss=0.23] 
+Epoch 530/1001:  11%|█         | 1/9 [00:00<00:03,  2.55it/s, Loss=0.232]
+Epoch 530/1001:  11%|█         | 1/9 [00:00<00:03,  2.55it/s, Loss=0.236]
+Epoch 530/1001: 100%|██████████| 9/9 [00:00<00:00, 16.39it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 531/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 531/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 531/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.237]
+Epoch 531/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.234]
+Epoch 531/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.233]
+Epoch 531/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.231]
+Epoch 531/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.229]
+Epoch 531/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.23] 
+Epoch 531/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.229]
+Epoch 531/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.23] 
+Epoch 531/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.235]
+Epoch 531/1001: 100%|██████████| 9/9 [00:00<00:00, 19.79it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 532/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 532/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 532/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.229]
+Epoch 532/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.236]
+Epoch 532/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.235]
+Epoch 532/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.233]
+Epoch 532/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.229]
+Epoch 532/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.232]
+Epoch 532/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.235]
+Epoch 532/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.235]
+Epoch 532/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.236]
+Epoch 532/1001: 100%|██████████| 9/9 [00:00<00:00, 20.01it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 533/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 533/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 533/1001:  11%|█         | 1/9 [00:00<00:03,  2.39it/s, Loss=0.235]
+Epoch 533/1001:  11%|█         | 1/9 [00:00<00:03,  2.39it/s, Loss=0.23] 
+Epoch 533/1001:  11%|█         | 1/9 [00:00<00:03,  2.39it/s, Loss=0.237]
+Epoch 533/1001:  11%|█         | 1/9 [00:00<00:03,  2.39it/s, Loss=0.236]
+Epoch 533/1001:  11%|█         | 1/9 [00:00<00:03,  2.39it/s, Loss=0.238]
+Epoch 533/1001:  11%|█         | 1/9 [00:00<00:03,  2.39it/s, Loss=0.237]
+Epoch 533/1001:  11%|█         | 1/9 [00:00<00:03,  2.39it/s, Loss=0.231]
+Epoch 533/1001:  11%|█         | 1/9 [00:00<00:03,  2.39it/s, Loss=0.236]
+Epoch 533/1001:  11%|█         | 1/9 [00:00<00:03,  2.39it/s, Loss=0.23] 
+Epoch 533/1001: 100%|██████████| 9/9 [00:00<00:00, 15.69it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 534/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 534/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 534/1001:  11%|█         | 1/9 [00:00<00:03,  2.65it/s, Loss=0.237]
+Epoch 534/1001:  11%|█         | 1/9 [00:00<00:03,  2.65it/s, Loss=0.227]
+Epoch 534/1001:  11%|█         | 1/9 [00:00<00:03,  2.65it/s, Loss=0.229]
+Epoch 534/1001:  11%|█         | 1/9 [00:00<00:03,  2.65it/s, Loss=0.233]
+Epoch 534/1001:  11%|█         | 1/9 [00:00<00:03,  2.65it/s, Loss=0.232]
+Epoch 534/1001:  11%|█         | 1/9 [00:00<00:03,  2.65it/s, Loss=0.231]
+Epoch 534/1001:  11%|█         | 1/9 [00:00<00:03,  2.65it/s, Loss=0.238]
+Epoch 534/1001:  11%|█         | 1/9 [00:00<00:03,  2.65it/s, Loss=0.231]
+Epoch 534/1001:  11%|█         | 1/9 [00:00<00:03,  2.65it/s, Loss=0.232]
+Epoch 534/1001: 100%|██████████| 9/9 [00:00<00:00, 17.71it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 535/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 535/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.225]
+Epoch 535/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.225]
+Epoch 535/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.233]
+Epoch 535/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.227]
+Epoch 535/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.234]
+Epoch 535/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.233]
+Epoch 535/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.236]
+Epoch 535/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.228]
+Epoch 535/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.227]
+Epoch 535/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.232]
+Epoch 535/1001: 100%|██████████| 9/9 [00:00<00:00, 26.33it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 536/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 536/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 536/1001:  11%|█         | 1/9 [00:00<00:01,  5.01it/s, Loss=0.237]
+Epoch 536/1001:  11%|█         | 1/9 [00:00<00:01,  5.01it/s, Loss=0.233]
+Epoch 536/1001:  11%|█         | 1/9 [00:00<00:01,  5.01it/s, Loss=0.233]
+Epoch 536/1001:  11%|█         | 1/9 [00:00<00:01,  5.01it/s, Loss=0.226]
+Epoch 536/1001:  11%|█         | 1/9 [00:00<00:01,  5.01it/s, Loss=0.233]
+Epoch 536/1001:  11%|█         | 1/9 [00:00<00:01,  5.01it/s, Loss=0.231]
+Epoch 536/1001:  11%|█         | 1/9 [00:00<00:01,  5.01it/s, Loss=0.23] 
+Epoch 536/1001:  11%|█         | 1/9 [00:00<00:01,  5.01it/s, Loss=0.235]
+Epoch 536/1001:  11%|█         | 1/9 [00:00<00:01,  5.01it/s, Loss=0.229]
+Epoch 536/1001: 100%|██████████| 9/9 [00:00<00:00, 36.26it/s, Loss=0.229]
+Epoch 536/1001: 100%|██████████| 9/9 [00:00<00:00, 25.38it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 537/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 537/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 537/1001:  11%|█         | 1/9 [00:00<00:01,  5.72it/s, Loss=0.23]
+Epoch 537/1001:  11%|█         | 1/9 [00:00<00:01,  5.72it/s, Loss=0.237]
+Epoch 537/1001:  11%|█         | 1/9 [00:00<00:01,  5.72it/s, Loss=0.234]
+Epoch 537/1001:  11%|█         | 1/9 [00:00<00:01,  5.72it/s, Loss=0.23] 
+Epoch 537/1001:  11%|█         | 1/9 [00:00<00:01,  5.72it/s, Loss=0.228]
+Epoch 537/1001:  11%|█         | 1/9 [00:00<00:01,  5.72it/s, Loss=0.237]
+Epoch 537/1001:  11%|█         | 1/9 [00:00<00:01,  5.72it/s, Loss=0.233]
+Epoch 537/1001:  11%|█         | 1/9 [00:00<00:01,  5.72it/s, Loss=0.232]
+Epoch 537/1001:  11%|█         | 1/9 [00:00<00:01,  5.72it/s, Loss=0.229]
+Epoch 537/1001: 100%|██████████| 9/9 [00:00<00:00, 27.70it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 538/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 538/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 538/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.23]
+Epoch 538/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.233]
+Epoch 538/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.234]
+Epoch 538/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.23] 
+Epoch 538/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.232]
+Epoch 538/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.229]
+Epoch 538/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.235]
+Epoch 538/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.231]
+Epoch 538/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.229]
+Epoch 538/1001: 100%|██████████| 9/9 [00:00<00:00, 21.93it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 539/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 539/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 539/1001:  11%|█         | 1/9 [00:00<00:02,  2.77it/s, Loss=0.231]
+Epoch 539/1001:  11%|█         | 1/9 [00:00<00:02,  2.77it/s, Loss=0.231]
+Epoch 539/1001:  11%|█         | 1/9 [00:00<00:02,  2.77it/s, Loss=0.233]
+Epoch 539/1001:  11%|█         | 1/9 [00:00<00:02,  2.77it/s, Loss=0.23] 
+Epoch 539/1001:  11%|█         | 1/9 [00:00<00:02,  2.77it/s, Loss=0.234]
+Epoch 539/1001:  11%|█         | 1/9 [00:00<00:02,  2.77it/s, Loss=0.235]
+Epoch 539/1001:  11%|█         | 1/9 [00:00<00:02,  2.77it/s, Loss=0.237]
+Epoch 539/1001:  11%|█         | 1/9 [00:00<00:02,  2.77it/s, Loss=0.229]
+Epoch 539/1001:  11%|█         | 1/9 [00:00<00:02,  2.77it/s, Loss=0.241]
+Epoch 539/1001: 100%|██████████| 9/9 [00:00<00:00, 17.76it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 540/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 540/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 540/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.237]
+Epoch 540/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.233]
+Epoch 540/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.231]
+Epoch 540/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.235]
+Epoch 540/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.232]
+Epoch 540/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.231]
+Epoch 540/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.229]
+Epoch 540/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.232]
+Epoch 540/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.235]
+Epoch 540/1001: 100%|██████████| 9/9 [00:00<00:00, 18.22it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 541/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 541/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 541/1001:  11%|█         | 1/9 [00:00<00:02,  3.35it/s, Loss=0.235]
+Epoch 541/1001:  11%|█         | 1/9 [00:00<00:02,  3.35it/s, Loss=0.237]
+Epoch 541/1001:  11%|█         | 1/9 [00:00<00:02,  3.35it/s, Loss=0.23] 
+Epoch 541/1001:  11%|█         | 1/9 [00:00<00:02,  3.35it/s, Loss=0.229]
+Epoch 541/1001:  11%|█         | 1/9 [00:00<00:02,  3.35it/s, Loss=0.228]
+Epoch 541/1001:  11%|█         | 1/9 [00:00<00:02,  3.35it/s, Loss=0.231]
+Epoch 541/1001:  11%|█         | 1/9 [00:00<00:02,  3.35it/s, Loss=0.232]
+Epoch 541/1001:  11%|█         | 1/9 [00:00<00:02,  3.35it/s, Loss=0.233]
+Epoch 541/1001:  11%|█         | 1/9 [00:00<00:02,  3.35it/s, Loss=0.23] 
+Epoch 541/1001: 100%|██████████| 9/9 [00:00<00:00, 19.60it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 542/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 542/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 542/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.236]
+Epoch 542/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.237]
+Epoch 542/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.232]
+Epoch 542/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.231]
+Epoch 542/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.232]
+Epoch 542/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.234]
+Epoch 542/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.232]
+Epoch 542/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.236]
+Epoch 542/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.23] 
+Epoch 542/1001: 100%|██████████| 9/9 [00:00<00:00, 22.87it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 543/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 543/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 543/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.232]
+Epoch 543/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.236]
+Epoch 543/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.235]
+Epoch 543/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.232]
+Epoch 543/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.232]
+Epoch 543/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.233]
+Epoch 543/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.232]
+Epoch 543/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.232]
+Epoch 543/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.224]
+Epoch 543/1001: 100%|██████████| 9/9 [00:00<00:00, 21.49it/s, Loss=0.224]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 544/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 544/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 544/1001:  11%|█         | 1/9 [00:00<00:01,  5.07it/s, Loss=0.23]
+Epoch 544/1001:  11%|█         | 1/9 [00:00<00:01,  5.07it/s, Loss=0.231]
+Epoch 544/1001:  11%|█         | 1/9 [00:00<00:01,  5.07it/s, Loss=0.236]
+Epoch 544/1001:  11%|█         | 1/9 [00:00<00:01,  5.07it/s, Loss=0.234]
+Epoch 544/1001:  11%|█         | 1/9 [00:00<00:01,  5.07it/s, Loss=0.232]
+Epoch 544/1001:  11%|█         | 1/9 [00:00<00:01,  5.07it/s, Loss=0.232]
+Epoch 544/1001:  11%|█         | 1/9 [00:00<00:01,  5.07it/s, Loss=0.228]
+Epoch 544/1001:  11%|█         | 1/9 [00:00<00:01,  5.07it/s, Loss=0.231]
+Epoch 544/1001:  11%|█         | 1/9 [00:00<00:01,  5.07it/s, Loss=0.243]
+Epoch 544/1001: 100%|██████████| 9/9 [00:00<00:00, 26.97it/s, Loss=0.243]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 545/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 545/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 545/1001:  11%|█         | 1/9 [00:00<00:01,  7.12it/s, Loss=0.233]
+Epoch 545/1001:  11%|█         | 1/9 [00:00<00:01,  7.12it/s, Loss=0.237]
+Epoch 545/1001:  11%|█         | 1/9 [00:00<00:01,  7.12it/s, Loss=0.235]
+Epoch 545/1001:  11%|█         | 1/9 [00:00<00:01,  7.12it/s, Loss=0.227]
+Epoch 545/1001:  11%|█         | 1/9 [00:00<00:01,  7.12it/s, Loss=0.226]
+Epoch 545/1001:  11%|█         | 1/9 [00:00<00:01,  7.12it/s, Loss=0.237]
+Epoch 545/1001:  11%|█         | 1/9 [00:00<00:01,  7.12it/s, Loss=0.229]
+Epoch 545/1001:  11%|█         | 1/9 [00:00<00:01,  7.12it/s, Loss=0.237]
+Epoch 545/1001:  11%|█         | 1/9 [00:00<00:01,  7.12it/s, Loss=0.232]
+Epoch 545/1001: 100%|██████████| 9/9 [00:00<00:00, 30.47it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 546/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 546/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 546/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.231]
+Epoch 546/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.233]
+Epoch 546/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.233]
+Epoch 546/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.235]
+Epoch 546/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.229]
+Epoch 546/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.236]
+Epoch 546/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.239]
+Epoch 546/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.232]
+Epoch 546/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.229]
+Epoch 546/1001: 100%|██████████| 9/9 [00:00<00:00, 25.57it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 547/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 547/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 547/1001:  11%|█         | 1/9 [00:00<00:01,  5.88it/s, Loss=0.229]
+Epoch 547/1001:  11%|█         | 1/9 [00:00<00:01,  5.88it/s, Loss=0.228]
+Epoch 547/1001:  11%|█         | 1/9 [00:00<00:01,  5.88it/s, Loss=0.234]
+Epoch 547/1001:  11%|█         | 1/9 [00:00<00:01,  5.88it/s, Loss=0.234]
+Epoch 547/1001:  11%|█         | 1/9 [00:00<00:01,  5.88it/s, Loss=0.23] 
+Epoch 547/1001:  11%|█         | 1/9 [00:00<00:01,  5.88it/s, Loss=0.231]
+Epoch 547/1001:  11%|█         | 1/9 [00:00<00:01,  5.88it/s, Loss=0.237]
+Epoch 547/1001:  11%|█         | 1/9 [00:00<00:01,  5.88it/s, Loss=0.227]
+Epoch 547/1001:  89%|████████▉ | 8/9 [00:00<00:00, 33.89it/s, Loss=0.227]
+Epoch 547/1001:  89%|████████▉ | 8/9 [00:00<00:00, 33.89it/s, Loss=0.228]
+Epoch 547/1001: 100%|██████████| 9/9 [00:00<00:00, 26.79it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 548/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 548/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 548/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.232]
+Epoch 548/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.241]
+Epoch 548/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.239]
+Epoch 548/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.235]
+Epoch 548/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.233]
+Epoch 548/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.238]
+Epoch 548/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.23] 
+Epoch 548/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.23]
+Epoch 548/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.233]
+Epoch 548/1001: 100%|██████████| 9/9 [00:00<00:00, 31.64it/s, Loss=0.233]
+Epoch 548/1001: 100%|██████████| 9/9 [00:00<00:00, 22.72it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 549/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 549/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 549/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.236]
+Epoch 549/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.235]
+Epoch 549/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.232]
+Epoch 549/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.23] 
+Epoch 549/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.23]
+Epoch 549/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.242]
+Epoch 549/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.228]
+Epoch 549/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.228]
+Epoch 549/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.233]
+Epoch 549/1001: 100%|██████████| 9/9 [00:00<00:00, 21.83it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 550/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 550/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 550/1001:  11%|█         | 1/9 [00:00<00:01,  5.51it/s, Loss=0.237]
+Epoch 550/1001:  11%|█         | 1/9 [00:00<00:01,  5.51it/s, Loss=0.234]
+Epoch 550/1001:  11%|█         | 1/9 [00:00<00:01,  5.51it/s, Loss=0.24] 
+Epoch 550/1001:  11%|█         | 1/9 [00:00<00:01,  5.51it/s, Loss=0.232]
+Epoch 550/1001:  11%|█         | 1/9 [00:00<00:01,  5.51it/s, Loss=0.236]
+Epoch 550/1001:  11%|█         | 1/9 [00:00<00:01,  5.51it/s, Loss=0.231]
+Epoch 550/1001:  11%|█         | 1/9 [00:00<00:01,  5.51it/s, Loss=0.238]
+Epoch 550/1001:  11%|█         | 1/9 [00:00<00:01,  5.51it/s, Loss=0.232]
+Epoch 550/1001:  11%|█         | 1/9 [00:00<00:01,  5.51it/s, Loss=0.233]
+Epoch 550/1001: 100%|██████████| 9/9 [00:00<00:00, 26.73it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 551/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 551/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 551/1001:  11%|█         | 1/9 [00:00<00:02,  3.64it/s, Loss=0.233]
+Epoch 551/1001:  11%|█         | 1/9 [00:00<00:02,  3.64it/s, Loss=0.237]
+Epoch 551/1001:  11%|█         | 1/9 [00:00<00:02,  3.64it/s, Loss=0.235]
+Epoch 551/1001:  11%|█         | 1/9 [00:00<00:02,  3.64it/s, Loss=0.228]
+Epoch 551/1001:  11%|█         | 1/9 [00:00<00:02,  3.64it/s, Loss=0.232]
+Epoch 551/1001:  11%|█         | 1/9 [00:00<00:02,  3.64it/s, Loss=0.23] 
+Epoch 551/1001:  11%|█         | 1/9 [00:00<00:02,  3.64it/s, Loss=0.232]
+Epoch 551/1001:  11%|█         | 1/9 [00:00<00:02,  3.64it/s, Loss=0.232]
+Epoch 551/1001:  11%|█         | 1/9 [00:00<00:02,  3.64it/s, Loss=0.236]
+Epoch 551/1001: 100%|██████████| 9/9 [00:00<00:00, 22.78it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 552/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 552/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 552/1001:  11%|█         | 1/9 [00:00<00:01,  5.96it/s, Loss=0.232]
+Epoch 552/1001:  11%|█         | 1/9 [00:00<00:01,  5.96it/s, Loss=0.236]
+Epoch 552/1001:  11%|█         | 1/9 [00:00<00:01,  5.96it/s, Loss=0.228]
+Epoch 552/1001:  11%|█         | 1/9 [00:00<00:01,  5.96it/s, Loss=0.241]
+Epoch 552/1001:  11%|█         | 1/9 [00:00<00:01,  5.96it/s, Loss=0.224]
+Epoch 552/1001:  11%|█         | 1/9 [00:00<00:01,  5.96it/s, Loss=0.237]
+Epoch 552/1001:  11%|█         | 1/9 [00:00<00:01,  5.96it/s, Loss=0.229]
+Epoch 552/1001:  78%|███████▊  | 7/9 [00:00<00:00, 29.86it/s, Loss=0.229]
+Epoch 552/1001:  78%|███████▊  | 7/9 [00:00<00:00, 29.86it/s, Loss=0.236]
+Epoch 552/1001:  78%|███████▊  | 7/9 [00:00<00:00, 29.86it/s, Loss=0.227]
+Epoch 552/1001: 100%|██████████| 9/9 [00:00<00:00, 25.78it/s, Loss=0.227]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 553/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 553/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 553/1001:  11%|█         | 1/9 [00:00<00:01,  6.71it/s, Loss=0.234]
+Epoch 553/1001:  11%|█         | 1/9 [00:00<00:01,  6.71it/s, Loss=0.234]
+Epoch 553/1001:  11%|█         | 1/9 [00:00<00:01,  6.71it/s, Loss=0.234]
+Epoch 553/1001:  11%|█         | 1/9 [00:00<00:01,  6.71it/s, Loss=0.233]
+Epoch 553/1001:  11%|█         | 1/9 [00:00<00:01,  6.71it/s, Loss=0.236]
+Epoch 553/1001:  11%|█         | 1/9 [00:00<00:01,  6.71it/s, Loss=0.233]
+Epoch 553/1001:  11%|█         | 1/9 [00:00<00:01,  6.71it/s, Loss=0.23] 
+Epoch 553/1001:  78%|███████▊  | 7/9 [00:00<00:00, 31.42it/s, Loss=0.23]
+Epoch 553/1001:  78%|███████▊  | 7/9 [00:00<00:00, 31.42it/s, Loss=0.235]
+Epoch 553/1001:  78%|███████▊  | 7/9 [00:00<00:00, 31.42it/s, Loss=0.229]
+Epoch 553/1001: 100%|██████████| 9/9 [00:00<00:00, 25.44it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 554/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 554/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.225]
+Epoch 554/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.225]
+Epoch 554/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.229]
+Epoch 554/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.238]
+Epoch 554/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.233]
+Epoch 554/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.233]
+Epoch 554/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.229]
+Epoch 554/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.232]
+Epoch 554/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.235]
+Epoch 554/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.231]
+Epoch 554/1001: 100%|██████████| 9/9 [00:00<00:00, 22.15it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 555/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 555/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 555/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.229]
+Epoch 555/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.237]
+Epoch 555/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.23] 
+Epoch 555/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.228]
+Epoch 555/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.23] 
+Epoch 555/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.23]
+Epoch 555/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.229]
+Epoch 555/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.234]
+Epoch 555/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.235]
+Epoch 555/1001: 100%|██████████| 9/9 [00:00<00:00, 25.45it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 556/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 556/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 556/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.229]
+Epoch 556/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.237]
+Epoch 556/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.229]
+Epoch 556/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.241]
+Epoch 556/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.233]
+Epoch 556/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.225]
+Epoch 556/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.233]
+Epoch 556/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.237]
+Epoch 556/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.234]
+Epoch 556/1001: 100%|██████████| 9/9 [00:00<00:00, 24.69it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 557/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 557/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 557/1001:  11%|█         | 1/9 [00:00<00:01,  4.54it/s, Loss=0.233]
+Epoch 557/1001:  11%|█         | 1/9 [00:00<00:01,  4.54it/s, Loss=0.233]
+Epoch 557/1001:  11%|█         | 1/9 [00:00<00:01,  4.54it/s, Loss=0.235]
+Epoch 557/1001:  11%|█         | 1/9 [00:00<00:01,  4.54it/s, Loss=0.231]
+Epoch 557/1001:  11%|█         | 1/9 [00:00<00:01,  4.54it/s, Loss=0.228]
+Epoch 557/1001:  11%|█         | 1/9 [00:00<00:01,  4.54it/s, Loss=0.224]
+Epoch 557/1001:  11%|█         | 1/9 [00:00<00:01,  4.54it/s, Loss=0.227]
+Epoch 557/1001:  78%|███████▊  | 7/9 [00:00<00:00, 25.88it/s, Loss=0.227]
+Epoch 557/1001:  78%|███████▊  | 7/9 [00:00<00:00, 25.88it/s, Loss=0.229]
+Epoch 557/1001:  78%|███████▊  | 7/9 [00:00<00:00, 25.88it/s, Loss=0.234]
+Epoch 557/1001: 100%|██████████| 9/9 [00:00<00:00, 22.36it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 558/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 558/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 558/1001:  11%|█         | 1/9 [00:00<00:01,  4.91it/s, Loss=0.231]
+Epoch 558/1001:  11%|█         | 1/9 [00:00<00:01,  4.91it/s, Loss=0.235]
+Epoch 558/1001:  11%|█         | 1/9 [00:00<00:01,  4.91it/s, Loss=0.236]
+Epoch 558/1001:  11%|█         | 1/9 [00:00<00:01,  4.91it/s, Loss=0.227]
+Epoch 558/1001:  11%|█         | 1/9 [00:00<00:01,  4.91it/s, Loss=0.229]
+Epoch 558/1001:  11%|█         | 1/9 [00:00<00:01,  4.91it/s, Loss=0.232]
+Epoch 558/1001:  11%|█         | 1/9 [00:00<00:01,  4.91it/s, Loss=0.233]
+Epoch 558/1001:  11%|█         | 1/9 [00:00<00:01,  4.91it/s, Loss=0.231]
+Epoch 558/1001:  89%|████████▉ | 8/9 [00:00<00:00, 29.77it/s, Loss=0.231]
+Epoch 558/1001:  89%|████████▉ | 8/9 [00:00<00:00, 29.77it/s, Loss=0.234]
+Epoch 558/1001: 100%|██████████| 9/9 [00:00<00:00, 23.43it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 559/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 559/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 559/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.228]
+Epoch 559/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.23] 
+Epoch 559/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.231]
+Epoch 559/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.231]
+Epoch 559/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.229]
+Epoch 559/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.23] 
+Epoch 559/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.23]
+Epoch 559/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.231]
+Epoch 559/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.233]
+Epoch 559/1001: 100%|██████████| 9/9 [00:00<00:00, 24.07it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 560/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 560/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 560/1001:  11%|█         | 1/9 [00:00<00:01,  4.37it/s, Loss=0.233]
+Epoch 560/1001:  11%|█         | 1/9 [00:00<00:01,  4.37it/s, Loss=0.232]
+Epoch 560/1001:  11%|█         | 1/9 [00:00<00:01,  4.37it/s, Loss=0.236]
+Epoch 560/1001:  11%|█         | 1/9 [00:00<00:01,  4.37it/s, Loss=0.231]
+Epoch 560/1001:  11%|█         | 1/9 [00:00<00:01,  4.37it/s, Loss=0.238]
+Epoch 560/1001:  11%|█         | 1/9 [00:00<00:01,  4.37it/s, Loss=0.23] 
+Epoch 560/1001:  11%|█         | 1/9 [00:00<00:01,  4.37it/s, Loss=0.234]
+Epoch 560/1001:  11%|█         | 1/9 [00:00<00:01,  4.37it/s, Loss=0.232]
+Epoch 560/1001:  89%|████████▉ | 8/9 [00:00<00:00, 28.42it/s, Loss=0.232]
+Epoch 560/1001:  89%|████████▉ | 8/9 [00:00<00:00, 28.42it/s, Loss=0.235]
+Epoch 560/1001: 100%|██████████| 9/9 [00:00<00:00, 21.79it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 561/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 561/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 561/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.233]
+Epoch 561/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.228]
+Epoch 561/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.235]
+Epoch 561/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.233]
+Epoch 561/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.235]
+Epoch 561/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.229]
+Epoch 561/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.233]
+Epoch 561/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.231]
+Epoch 561/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.228]
+Epoch 561/1001: 100%|██████████| 9/9 [00:00<00:00, 24.88it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 562/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 562/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 562/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.231]
+Epoch 562/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.231]
+Epoch 562/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.236]
+Epoch 562/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.234]
+Epoch 562/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.231]
+Epoch 562/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.228]
+Epoch 562/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.228]
+Epoch 562/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.235]
+Epoch 562/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.24] 
+Epoch 562/1001: 100%|██████████| 9/9 [00:00<00:00, 28.44it/s, Loss=0.24]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 563/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 563/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 563/1001:  11%|█         | 1/9 [00:00<00:01,  5.76it/s, Loss=0.229]
+Epoch 563/1001:  11%|█         | 1/9 [00:00<00:01,  5.76it/s, Loss=0.239]
+Epoch 563/1001:  11%|█         | 1/9 [00:00<00:01,  5.76it/s, Loss=0.232]
+Epoch 563/1001:  11%|█         | 1/9 [00:00<00:01,  5.76it/s, Loss=0.235]
+Epoch 563/1001:  11%|█         | 1/9 [00:00<00:01,  5.76it/s, Loss=0.232]
+Epoch 563/1001:  11%|█         | 1/9 [00:00<00:01,  5.76it/s, Loss=0.232]
+Epoch 563/1001:  11%|█         | 1/9 [00:00<00:01,  5.76it/s, Loss=0.231]
+Epoch 563/1001:  11%|█         | 1/9 [00:00<00:01,  5.76it/s, Loss=0.233]
+Epoch 563/1001:  11%|█         | 1/9 [00:00<00:01,  5.76it/s, Loss=0.227]
+Epoch 563/1001: 100%|██████████| 9/9 [00:00<00:00, 26.71it/s, Loss=0.227]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 564/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 564/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 564/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.232]
+Epoch 564/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.231]
+Epoch 564/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.23] 
+Epoch 564/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.233]
+Epoch 564/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.234]
+Epoch 564/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.233]
+Epoch 564/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.233]
+Epoch 564/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.228]
+Epoch 564/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.235]
+Epoch 564/1001: 100%|██████████| 9/9 [00:00<00:00, 23.37it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 565/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 565/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 565/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.236]
+Epoch 565/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.227]
+Epoch 565/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.227]
+Epoch 565/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.235]
+Epoch 565/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.23] 
+Epoch 565/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.228]
+Epoch 565/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.237]
+Epoch 565/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.229]
+Epoch 565/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.233]
+Epoch 565/1001: 100%|██████████| 9/9 [00:00<00:00, 24.83it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 566/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 566/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 566/1001:  11%|█         | 1/9 [00:00<00:01,  4.93it/s, Loss=0.232]
+Epoch 566/1001:  11%|█         | 1/9 [00:00<00:01,  4.93it/s, Loss=0.231]
+Epoch 566/1001:  11%|█         | 1/9 [00:00<00:01,  4.93it/s, Loss=0.235]
+Epoch 566/1001:  11%|█         | 1/9 [00:00<00:01,  4.93it/s, Loss=0.236]
+Epoch 566/1001:  11%|█         | 1/9 [00:00<00:01,  4.93it/s, Loss=0.236]
+Epoch 566/1001:  11%|█         | 1/9 [00:00<00:01,  4.93it/s, Loss=0.233]
+Epoch 566/1001:  11%|█         | 1/9 [00:00<00:01,  4.93it/s, Loss=0.235]
+Epoch 566/1001:  78%|███████▊  | 7/9 [00:00<00:00, 27.60it/s, Loss=0.235]
+Epoch 566/1001:  78%|███████▊  | 7/9 [00:00<00:00, 27.60it/s, Loss=0.23] 
+Epoch 566/1001:  78%|███████▊  | 7/9 [00:00<00:00, 27.60it/s, Loss=0.237]
+Epoch 566/1001: 100%|██████████| 9/9 [00:00<00:00, 23.74it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 567/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 567/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 567/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.232]
+Epoch 567/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.233]
+Epoch 567/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.239]
+Epoch 567/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.228]
+Epoch 567/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.224]
+Epoch 567/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.233]
+Epoch 567/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.237]
+Epoch 567/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.233]
+Epoch 567/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.234]
+Epoch 567/1001: 100%|██████████| 9/9 [00:00<00:00, 21.12it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 568/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 568/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 568/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.234]
+Epoch 568/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.232]
+Epoch 568/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.236]
+Epoch 568/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.239]
+Epoch 568/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.238]
+Epoch 568/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.229]
+Epoch 568/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.232]
+Epoch 568/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.231]
+Epoch 568/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.238]
+Epoch 568/1001: 100%|██████████| 9/9 [00:00<00:00, 22.34it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 569/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 569/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 569/1001:  11%|█         | 1/9 [00:00<00:02,  2.86it/s, Loss=0.234]
+Epoch 569/1001:  11%|█         | 1/9 [00:00<00:02,  2.86it/s, Loss=0.238]
+Epoch 569/1001:  11%|█         | 1/9 [00:00<00:02,  2.86it/s, Loss=0.23] 
+Epoch 569/1001:  11%|█         | 1/9 [00:00<00:02,  2.86it/s, Loss=0.232]
+Epoch 569/1001:  11%|█         | 1/9 [00:00<00:02,  2.86it/s, Loss=0.238]
+Epoch 569/1001:  11%|█         | 1/9 [00:00<00:02,  2.86it/s, Loss=0.232]
+Epoch 569/1001:  11%|█         | 1/9 [00:00<00:02,  2.86it/s, Loss=0.232]
+Epoch 569/1001:  11%|█         | 1/9 [00:00<00:02,  2.86it/s, Loss=0.233]
+Epoch 569/1001:  11%|█         | 1/9 [00:00<00:02,  2.86it/s, Loss=0.236]
+Epoch 569/1001: 100%|██████████| 9/9 [00:00<00:00, 17.78it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 570/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 570/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 570/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.232]
+Epoch 570/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.233]
+Epoch 570/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.235]
+Epoch 570/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.229]
+Epoch 570/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.237]
+Epoch 570/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.232]
+Epoch 570/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.233]
+Epoch 570/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.222]
+Epoch 570/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.233]
+Epoch 570/1001: 100%|██████████| 9/9 [00:00<00:00, 23.16it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 571/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 571/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 571/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.228]
+Epoch 571/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.236]
+Epoch 571/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.234]
+Epoch 571/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.23] 
+Epoch 571/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.229]
+Epoch 571/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.238]
+Epoch 571/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.235]
+Epoch 571/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.239]
+Epoch 571/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.233]
+Epoch 571/1001: 100%|██████████| 9/9 [00:00<00:00, 22.36it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 572/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 572/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 572/1001:  11%|█         | 1/9 [00:00<00:02,  2.75it/s, Loss=0.233]
+Epoch 572/1001:  11%|█         | 1/9 [00:00<00:02,  2.75it/s, Loss=0.231]
+Epoch 572/1001:  11%|█         | 1/9 [00:00<00:02,  2.75it/s, Loss=0.23] 
+Epoch 572/1001:  11%|█         | 1/9 [00:00<00:02,  2.75it/s, Loss=0.227]
+Epoch 572/1001:  11%|█         | 1/9 [00:00<00:02,  2.75it/s, Loss=0.232]
+Epoch 572/1001:  11%|█         | 1/9 [00:00<00:02,  2.75it/s, Loss=0.231]
+Epoch 572/1001:  11%|█         | 1/9 [00:00<00:02,  2.75it/s, Loss=0.235]
+Epoch 572/1001:  11%|█         | 1/9 [00:00<00:02,  2.75it/s, Loss=0.232]
+Epoch 572/1001:  89%|████████▉ | 8/9 [00:00<00:00, 21.41it/s, Loss=0.232]
+Epoch 572/1001:  89%|████████▉ | 8/9 [00:00<00:00, 21.41it/s, Loss=0.239]
+Epoch 572/1001: 100%|██████████| 9/9 [00:00<00:00, 17.05it/s, Loss=0.239]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 573/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 573/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 573/1001:  11%|█         | 1/9 [00:00<00:01,  4.39it/s, Loss=0.234]
+Epoch 573/1001:  11%|█         | 1/9 [00:00<00:01,  4.39it/s, Loss=0.235]
+Epoch 573/1001:  11%|█         | 1/9 [00:00<00:01,  4.39it/s, Loss=0.234]
+Epoch 573/1001:  11%|█         | 1/9 [00:00<00:01,  4.39it/s, Loss=0.232]
+Epoch 573/1001:  11%|█         | 1/9 [00:00<00:01,  4.39it/s, Loss=0.234]
+Epoch 573/1001:  11%|█         | 1/9 [00:00<00:01,  4.39it/s, Loss=0.229]
+Epoch 573/1001:  11%|█         | 1/9 [00:00<00:01,  4.39it/s, Loss=0.234]
+Epoch 573/1001:  11%|█         | 1/9 [00:00<00:01,  4.39it/s, Loss=0.228]
+Epoch 573/1001:  89%|████████▉ | 8/9 [00:00<00:00, 28.58it/s, Loss=0.228]
+Epoch 573/1001:  89%|████████▉ | 8/9 [00:00<00:00, 28.58it/s, Loss=0.232]
+Epoch 573/1001: 100%|██████████| 9/9 [00:00<00:00, 22.23it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 574/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 574/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 574/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.231]
+Epoch 574/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.23] 
+Epoch 574/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.227]
+Epoch 574/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.229]
+Epoch 574/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.233]
+Epoch 574/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.235]
+Epoch 574/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.239]
+Epoch 574/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.234]
+Epoch 574/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.24] 
+Epoch 574/1001: 100%|██████████| 9/9 [00:00<00:00, 23.99it/s, Loss=0.24]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 575/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 575/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 575/1001:  11%|█         | 1/9 [00:00<00:01,  4.21it/s, Loss=0.233]
+Epoch 575/1001:  11%|█         | 1/9 [00:00<00:01,  4.21it/s, Loss=0.235]
+Epoch 575/1001:  11%|█         | 1/9 [00:00<00:01,  4.21it/s, Loss=0.231]
+Epoch 575/1001:  11%|█         | 1/9 [00:00<00:01,  4.21it/s, Loss=0.232]
+Epoch 575/1001:  11%|█         | 1/9 [00:00<00:01,  4.21it/s, Loss=0.23] 
+Epoch 575/1001:  11%|█         | 1/9 [00:00<00:01,  4.21it/s, Loss=0.23]
+Epoch 575/1001:  11%|█         | 1/9 [00:00<00:01,  4.21it/s, Loss=0.231]
+Epoch 575/1001:  11%|█         | 1/9 [00:00<00:01,  4.21it/s, Loss=0.236]
+Epoch 575/1001:  11%|█         | 1/9 [00:00<00:01,  4.21it/s, Loss=0.23] 
+Epoch 575/1001: 100%|██████████| 9/9 [00:00<00:00, 23.74it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 576/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 576/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 576/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.234]
+Epoch 576/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.23] 
+Epoch 576/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.227]
+Epoch 576/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.23] 
+Epoch 576/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.23]
+Epoch 576/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.237]
+Epoch 576/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.232]
+Epoch 576/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.228]
+Epoch 576/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.234]
+Epoch 576/1001: 100%|██████████| 9/9 [00:00<00:00, 24.72it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 577/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 577/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 577/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.23]
+Epoch 577/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.233]
+Epoch 577/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.226]
+Epoch 577/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.232]
+Epoch 577/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.226]
+Epoch 577/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.231]
+Epoch 577/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.229]
+Epoch 577/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.231]
+Epoch 577/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.239]
+Epoch 577/1001: 100%|██████████| 9/9 [00:00<00:00, 20.56it/s, Loss=0.239]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 578/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 578/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 578/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.237]
+Epoch 578/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.229]
+Epoch 578/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.228]
+Epoch 578/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.234]
+Epoch 578/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.234]
+Epoch 578/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.233]
+Epoch 578/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.237]
+Epoch 578/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.223]
+Epoch 578/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.23] 
+Epoch 578/1001: 100%|██████████| 9/9 [00:00<00:00, 23.70it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 579/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 579/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 579/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.231]
+Epoch 579/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.234]
+Epoch 579/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.231]
+Epoch 579/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.234]
+Epoch 579/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.237]
+Epoch 579/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.237]
+Epoch 579/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.233]
+Epoch 579/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.232]
+Epoch 579/1001:  11%|█         | 1/9 [00:00<00:01,  4.02it/s, Loss=0.234]
+Epoch 579/1001: 100%|██████████| 9/9 [00:00<00:00, 23.41it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 580/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 580/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 580/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.234]
+Epoch 580/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.233]
+Epoch 580/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.232]
+Epoch 580/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.232]
+Epoch 580/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.235]
+Epoch 580/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.229]
+Epoch 580/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.232]
+Epoch 580/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.237]
+Epoch 580/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.235]
+Epoch 580/1001: 100%|██████████| 9/9 [00:00<00:00, 21.65it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 581/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 581/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 581/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.236]
+Epoch 581/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.229]
+Epoch 581/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.229]
+Epoch 581/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.23] 
+Epoch 581/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.236]
+Epoch 581/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.229]
+Epoch 581/1001:  67%|██████▋   | 6/9 [00:00<00:00, 20.79it/s, Loss=0.229]
+Epoch 581/1001:  67%|██████▋   | 6/9 [00:00<00:00, 20.79it/s, Loss=0.237]
+Epoch 581/1001:  67%|██████▋   | 6/9 [00:00<00:00, 20.79it/s, Loss=0.236]
+Epoch 581/1001:  67%|██████▋   | 6/9 [00:00<00:00, 20.79it/s, Loss=0.232]
+Epoch 581/1001: 100%|██████████| 9/9 [00:00<00:00, 20.77it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 582/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 582/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 582/1001:  11%|█         | 1/9 [00:00<00:01,  5.33it/s, Loss=0.229]
+Epoch 582/1001:  11%|█         | 1/9 [00:00<00:01,  5.33it/s, Loss=0.231]
+Epoch 582/1001:  11%|█         | 1/9 [00:00<00:01,  5.33it/s, Loss=0.238]
+Epoch 582/1001:  11%|█         | 1/9 [00:00<00:01,  5.33it/s, Loss=0.232]
+Epoch 582/1001:  11%|█         | 1/9 [00:00<00:01,  5.33it/s, Loss=0.234]
+Epoch 582/1001:  11%|█         | 1/9 [00:00<00:01,  5.33it/s, Loss=0.232]
+Epoch 582/1001:  11%|█         | 1/9 [00:00<00:01,  5.33it/s, Loss=0.239]
+Epoch 582/1001:  11%|█         | 1/9 [00:00<00:01,  5.33it/s, Loss=0.233]
+Epoch 582/1001:  11%|█         | 1/9 [00:00<00:01,  5.33it/s, Loss=0.23] 
+Epoch 582/1001: 100%|██████████| 9/9 [00:00<00:00, 28.15it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 583/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 583/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 583/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.231]
+Epoch 583/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.234]
+Epoch 583/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.237]
+Epoch 583/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.232]
+Epoch 583/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.229]
+Epoch 583/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.23] 
+Epoch 583/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.233]
+Epoch 583/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.229]
+Epoch 583/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.236]
+Epoch 583/1001: 100%|██████████| 9/9 [00:00<00:00, 21.89it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 584/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 584/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 584/1001:  11%|█         | 1/9 [00:00<00:02,  3.70it/s, Loss=0.233]
+Epoch 584/1001:  11%|█         | 1/9 [00:00<00:02,  3.70it/s, Loss=0.234]
+Epoch 584/1001:  11%|█         | 1/9 [00:00<00:02,  3.70it/s, Loss=0.233]
+Epoch 584/1001:  11%|█         | 1/9 [00:00<00:02,  3.70it/s, Loss=0.232]
+Epoch 584/1001:  11%|█         | 1/9 [00:00<00:02,  3.70it/s, Loss=0.236]
+Epoch 584/1001:  11%|█         | 1/9 [00:00<00:02,  3.70it/s, Loss=0.234]
+Epoch 584/1001:  11%|█         | 1/9 [00:00<00:02,  3.70it/s, Loss=0.234]
+Epoch 584/1001:  11%|█         | 1/9 [00:00<00:02,  3.70it/s, Loss=0.231]
+Epoch 584/1001:  11%|█         | 1/9 [00:00<00:02,  3.70it/s, Loss=0.23] 
+Epoch 584/1001: 100%|██████████| 9/9 [00:00<00:00, 21.80it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 585/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 585/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 585/1001:  11%|█         | 1/9 [00:00<00:01,  4.31it/s, Loss=0.229]
+Epoch 585/1001:  11%|█         | 1/9 [00:00<00:01,  4.31it/s, Loss=0.236]
+Epoch 585/1001:  11%|█         | 1/9 [00:00<00:01,  4.31it/s, Loss=0.229]
+Epoch 585/1001:  11%|█         | 1/9 [00:00<00:01,  4.31it/s, Loss=0.233]
+Epoch 585/1001:  11%|█         | 1/9 [00:00<00:01,  4.31it/s, Loss=0.233]
+Epoch 585/1001:  11%|█         | 1/9 [00:00<00:01,  4.31it/s, Loss=0.233]
+Epoch 585/1001:  11%|█         | 1/9 [00:00<00:01,  4.31it/s, Loss=0.231]
+Epoch 585/1001:  11%|█         | 1/9 [00:00<00:01,  4.31it/s, Loss=0.238]
+Epoch 585/1001:  11%|█         | 1/9 [00:00<00:01,  4.31it/s, Loss=0.224]
+Epoch 585/1001: 100%|██████████| 9/9 [00:00<00:00, 24.49it/s, Loss=0.224]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 586/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 586/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 586/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.234]
+Epoch 586/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.235]
+Epoch 586/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.231]
+Epoch 586/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.227]
+Epoch 586/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.228]
+Epoch 586/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.236]
+Epoch 586/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.224]
+Epoch 586/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.234]
+Epoch 586/1001:  11%|█         | 1/9 [00:00<00:01,  4.77it/s, Loss=0.234]
+Epoch 586/1001: 100%|██████████| 9/9 [00:00<00:00, 26.45it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 587/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 587/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 587/1001:  11%|█         | 1/9 [00:00<00:02,  3.71it/s, Loss=0.231]
+Epoch 587/1001:  11%|█         | 1/9 [00:00<00:02,  3.71it/s, Loss=0.232]
+Epoch 587/1001:  11%|█         | 1/9 [00:00<00:02,  3.71it/s, Loss=0.228]
+Epoch 587/1001:  11%|█         | 1/9 [00:00<00:02,  3.71it/s, Loss=0.232]
+Epoch 587/1001:  11%|█         | 1/9 [00:00<00:02,  3.71it/s, Loss=0.234]
+Epoch 587/1001:  11%|█         | 1/9 [00:00<00:02,  3.71it/s, Loss=0.235]
+Epoch 587/1001:  11%|█         | 1/9 [00:00<00:02,  3.71it/s, Loss=0.232]
+Epoch 587/1001:  11%|█         | 1/9 [00:00<00:02,  3.71it/s, Loss=0.232]
+Epoch 587/1001:  11%|█         | 1/9 [00:00<00:02,  3.71it/s, Loss=0.231]
+Epoch 587/1001: 100%|██████████| 9/9 [00:00<00:00, 30.04it/s, Loss=0.231]
+Epoch 587/1001: 100%|██████████| 9/9 [00:00<00:00, 21.69it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 588/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 588/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 588/1001:  11%|█         | 1/9 [00:00<00:01,  5.87it/s, Loss=0.236]
+Epoch 588/1001:  11%|█         | 1/9 [00:00<00:01,  5.87it/s, Loss=0.228]
+Epoch 588/1001:  11%|█         | 1/9 [00:00<00:01,  5.87it/s, Loss=0.228]
+Epoch 588/1001:  11%|█         | 1/9 [00:00<00:01,  5.87it/s, Loss=0.232]
+Epoch 588/1001:  11%|█         | 1/9 [00:00<00:01,  5.87it/s, Loss=0.227]
+Epoch 588/1001:  11%|█         | 1/9 [00:00<00:01,  5.87it/s, Loss=0.234]
+Epoch 588/1001:  11%|█         | 1/9 [00:00<00:01,  5.87it/s, Loss=0.227]
+Epoch 588/1001:  11%|█         | 1/9 [00:00<00:01,  5.87it/s, Loss=0.237]
+Epoch 588/1001:  11%|█         | 1/9 [00:00<00:01,  5.87it/s, Loss=0.227]
+Epoch 588/1001: 100%|██████████| 9/9 [00:00<00:00, 30.21it/s, Loss=0.227]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 589/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 589/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 589/1001:  11%|█         | 1/9 [00:00<00:01,  5.37it/s, Loss=0.231]
+Epoch 589/1001:  11%|█         | 1/9 [00:00<00:01,  5.37it/s, Loss=0.236]
+Epoch 589/1001:  11%|█         | 1/9 [00:00<00:01,  5.37it/s, Loss=0.234]
+Epoch 589/1001:  11%|█         | 1/9 [00:00<00:01,  5.37it/s, Loss=0.237]
+Epoch 589/1001:  11%|█         | 1/9 [00:00<00:01,  5.37it/s, Loss=0.228]
+Epoch 589/1001:  11%|█         | 1/9 [00:00<00:01,  5.37it/s, Loss=0.233]
+Epoch 589/1001:  11%|█         | 1/9 [00:00<00:01,  5.37it/s, Loss=0.236]
+Epoch 589/1001:  11%|█         | 1/9 [00:00<00:01,  5.37it/s, Loss=0.229]
+Epoch 589/1001:  89%|████████▉ | 8/9 [00:00<00:00, 31.93it/s, Loss=0.229]
+Epoch 589/1001:  89%|████████▉ | 8/9 [00:00<00:00, 31.93it/s, Loss=0.227]
+Epoch 589/1001: 100%|██████████| 9/9 [00:00<00:00, 25.46it/s, Loss=0.227]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 590/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 590/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 590/1001:  11%|█         | 1/9 [00:00<00:01,  4.51it/s, Loss=0.23]
+Epoch 590/1001:  11%|█         | 1/9 [00:00<00:01,  4.51it/s, Loss=0.231]
+Epoch 590/1001:  11%|█         | 1/9 [00:00<00:01,  4.51it/s, Loss=0.235]
+Epoch 590/1001:  11%|█         | 1/9 [00:00<00:01,  4.51it/s, Loss=0.232]
+Epoch 590/1001:  11%|█         | 1/9 [00:00<00:01,  4.51it/s, Loss=0.233]
+Epoch 590/1001:  11%|█         | 1/9 [00:00<00:01,  4.51it/s, Loss=0.23] 
+Epoch 590/1001:  11%|█         | 1/9 [00:00<00:01,  4.51it/s, Loss=0.23]
+Epoch 590/1001:  11%|█         | 1/9 [00:00<00:01,  4.51it/s, Loss=0.238]
+Epoch 590/1001:  11%|█         | 1/9 [00:00<00:01,  4.51it/s, Loss=0.23] 
+Epoch 590/1001: 100%|██████████| 9/9 [00:00<00:00, 33.34it/s, Loss=0.23]
+Epoch 590/1001: 100%|██████████| 9/9 [00:00<00:00, 23.69it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 591/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 591/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 591/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.231]
+Epoch 591/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.237]
+Epoch 591/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.235]
+Epoch 591/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.232]
+Epoch 591/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.227]
+Epoch 591/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.233]
+Epoch 591/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.24] 
+Epoch 591/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.23]
+Epoch 591/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.233]
+Epoch 591/1001: 100%|██████████| 9/9 [00:00<00:00, 21.36it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 592/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 592/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 592/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.232]
+Epoch 592/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.224]
+Epoch 592/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.233]
+Epoch 592/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.23] 
+Epoch 592/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.229]
+Epoch 592/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.236]
+Epoch 592/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.229]
+Epoch 592/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.233]
+Epoch 592/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.231]
+Epoch 592/1001: 100%|██████████| 9/9 [00:00<00:00, 24.48it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 593/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 593/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 593/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.231]
+Epoch 593/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.232]
+Epoch 593/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.232]
+Epoch 593/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.235]
+Epoch 593/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.236]
+Epoch 593/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.231]
+Epoch 593/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.231]
+Epoch 593/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.23] 
+Epoch 593/1001:  11%|█         | 1/9 [00:00<00:01,  4.38it/s, Loss=0.237]
+Epoch 593/1001: 100%|██████████| 9/9 [00:00<00:00, 22.91it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 594/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 594/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 594/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.234]
+Epoch 594/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.231]
+Epoch 594/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.232]
+Epoch 594/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.233]
+Epoch 594/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.234]
+Epoch 594/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.231]
+Epoch 594/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.23] 
+Epoch 594/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.231]
+Epoch 594/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.239]
+Epoch 594/1001: 100%|██████████| 9/9 [00:00<00:00, 22.72it/s, Loss=0.239]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 595/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 595/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 595/1001:  11%|█         | 1/9 [00:00<00:01,  4.85it/s, Loss=0.229]
+Epoch 595/1001:  11%|█         | 1/9 [00:00<00:01,  4.85it/s, Loss=0.233]
+Epoch 595/1001:  11%|█         | 1/9 [00:00<00:01,  4.85it/s, Loss=0.228]
+Epoch 595/1001:  11%|█         | 1/9 [00:00<00:01,  4.85it/s, Loss=0.229]
+Epoch 595/1001:  11%|█         | 1/9 [00:00<00:01,  4.85it/s, Loss=0.239]
+Epoch 595/1001:  11%|█         | 1/9 [00:00<00:01,  4.85it/s, Loss=0.231]
+Epoch 595/1001:  11%|█         | 1/9 [00:00<00:01,  4.85it/s, Loss=0.233]
+Epoch 595/1001:  11%|█         | 1/9 [00:00<00:01,  4.85it/s, Loss=0.232]
+Epoch 595/1001:  11%|█         | 1/9 [00:00<00:01,  4.85it/s, Loss=0.233]
+Epoch 595/1001: 100%|██████████| 9/9 [00:00<00:00, 25.41it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 596/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 596/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 596/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.229]
+Epoch 596/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.237]
+Epoch 596/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.232]
+Epoch 596/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.237]
+Epoch 596/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.232]
+Epoch 596/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.23] 
+Epoch 596/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.232]
+Epoch 596/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.232]
+Epoch 596/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.44it/s, Loss=0.232]
+Epoch 596/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.44it/s, Loss=0.237]
+Epoch 596/1001: 100%|██████████| 9/9 [00:00<00:00, 20.23it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 597/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 597/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 597/1001:  11%|█         | 1/9 [00:00<00:01,  4.92it/s, Loss=0.233]
+Epoch 597/1001:  11%|█         | 1/9 [00:00<00:01,  4.92it/s, Loss=0.235]
+Epoch 597/1001:  11%|█         | 1/9 [00:00<00:01,  4.92it/s, Loss=0.231]
+Epoch 597/1001:  11%|█         | 1/9 [00:00<00:01,  4.92it/s, Loss=0.232]
+Epoch 597/1001:  11%|█         | 1/9 [00:00<00:01,  4.92it/s, Loss=0.233]
+Epoch 597/1001:  11%|█         | 1/9 [00:00<00:01,  4.92it/s, Loss=0.233]
+Epoch 597/1001:  11%|█         | 1/9 [00:00<00:01,  4.92it/s, Loss=0.228]
+Epoch 597/1001:  11%|█         | 1/9 [00:00<00:01,  4.92it/s, Loss=0.233]
+Epoch 597/1001:  11%|█         | 1/9 [00:00<00:01,  4.92it/s, Loss=0.227]
+Epoch 597/1001: 100%|██████████| 9/9 [00:00<00:00, 25.05it/s, Loss=0.227]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 598/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 598/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 598/1001:  11%|█         | 1/9 [00:00<00:01,  5.77it/s, Loss=0.234]
+Epoch 598/1001:  11%|█         | 1/9 [00:00<00:01,  5.77it/s, Loss=0.232]
+Epoch 598/1001:  11%|█         | 1/9 [00:00<00:01,  5.77it/s, Loss=0.238]
+Epoch 598/1001:  11%|█         | 1/9 [00:00<00:01,  5.77it/s, Loss=0.229]
+Epoch 598/1001:  11%|█         | 1/9 [00:00<00:01,  5.77it/s, Loss=0.232]
+Epoch 598/1001:  11%|█         | 1/9 [00:00<00:01,  5.77it/s, Loss=0.235]
+Epoch 598/1001:  11%|█         | 1/9 [00:00<00:01,  5.77it/s, Loss=0.234]
+Epoch 598/1001:  11%|█         | 1/9 [00:00<00:01,  5.77it/s, Loss=0.231]
+Epoch 598/1001:  11%|█         | 1/9 [00:00<00:01,  5.77it/s, Loss=0.232]
+Epoch 598/1001: 100%|██████████| 9/9 [00:00<00:00, 29.70it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 599/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 599/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 599/1001:  11%|█         | 1/9 [00:00<00:01,  5.89it/s, Loss=0.232]
+Epoch 599/1001:  11%|█         | 1/9 [00:00<00:01,  5.89it/s, Loss=0.233]
+Epoch 599/1001:  11%|█         | 1/9 [00:00<00:01,  5.89it/s, Loss=0.226]
+Epoch 599/1001:  11%|█         | 1/9 [00:00<00:01,  5.89it/s, Loss=0.231]
+Epoch 599/1001:  11%|█         | 1/9 [00:00<00:01,  5.89it/s, Loss=0.232]
+Epoch 599/1001:  11%|█         | 1/9 [00:00<00:01,  5.89it/s, Loss=0.236]
+Epoch 599/1001:  11%|█         | 1/9 [00:00<00:01,  5.89it/s, Loss=0.23] 
+Epoch 599/1001:  11%|█         | 1/9 [00:00<00:01,  5.89it/s, Loss=0.231]
+Epoch 599/1001:  11%|█         | 1/9 [00:00<00:01,  5.89it/s, Loss=0.233]
+Epoch 599/1001: 100%|██████████| 9/9 [00:00<00:00, 32.75it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 600/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 600/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 600/1001:  11%|█         | 1/9 [00:00<00:01,  6.34it/s, Loss=0.229]
+Epoch 600/1001:  11%|█         | 1/9 [00:00<00:01,  6.34it/s, Loss=0.234]
+Epoch 600/1001:  11%|█         | 1/9 [00:00<00:01,  6.34it/s, Loss=0.232]
+Epoch 600/1001:  11%|█         | 1/9 [00:00<00:01,  6.34it/s, Loss=0.241]
+Epoch 600/1001:  11%|█         | 1/9 [00:00<00:01,  6.34it/s, Loss=0.229]
+Epoch 600/1001:  11%|█         | 1/9 [00:00<00:01,  6.34it/s, Loss=0.239]
+Epoch 600/1001:  11%|█         | 1/9 [00:00<00:01,  6.34it/s, Loss=0.229]
+Epoch 600/1001:  11%|█         | 1/9 [00:00<00:01,  6.34it/s, Loss=0.23] 
+Epoch 600/1001:  11%|█         | 1/9 [00:00<00:01,  6.34it/s, Loss=0.238]
+Epoch 600/1001: 100%|██████████| 9/9 [00:00<00:00, 39.80it/s, Loss=0.238]
+Epoch 600/1001: 100%|██████████| 9/9 [00:00<00:00, 27.77it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 601/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 601/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 601/1001:  11%|█         | 1/9 [00:00<00:02,  3.56it/s, Loss=0.23]
+Epoch 601/1001:  11%|█         | 1/9 [00:00<00:02,  3.56it/s, Loss=0.229]
+Epoch 601/1001:  11%|█         | 1/9 [00:00<00:02,  3.56it/s, Loss=0.236]
+Epoch 601/1001:  11%|█         | 1/9 [00:00<00:02,  3.56it/s, Loss=0.233]
+Epoch 601/1001:  11%|█         | 1/9 [00:00<00:02,  3.56it/s, Loss=0.235]
+Epoch 601/1001:  11%|█         | 1/9 [00:00<00:02,  3.56it/s, Loss=0.231]
+Epoch 601/1001:  11%|█         | 1/9 [00:00<00:02,  3.56it/s, Loss=0.233]
+Epoch 601/1001:  11%|█         | 1/9 [00:00<00:02,  3.56it/s, Loss=0.232]
+Epoch 601/1001:  11%|█         | 1/9 [00:00<00:02,  3.56it/s, Loss=0.233]
+Epoch 601/1001: 100%|██████████| 9/9 [00:00<00:00, 21.46it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 602/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 602/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 602/1001:  11%|█         | 1/9 [00:00<00:01,  4.51it/s, Loss=0.235]
+Epoch 602/1001:  11%|█         | 1/9 [00:00<00:01,  4.51it/s, Loss=0.234]
+Epoch 602/1001:  11%|█         | 1/9 [00:00<00:01,  4.51it/s, Loss=0.234]
+Epoch 602/1001:  11%|█         | 1/9 [00:00<00:01,  4.51it/s, Loss=0.232]
+Epoch 602/1001:  11%|█         | 1/9 [00:00<00:01,  4.51it/s, Loss=0.235]
+Epoch 602/1001:  11%|█         | 1/9 [00:00<00:01,  4.51it/s, Loss=0.236]
+Epoch 602/1001:  11%|█         | 1/9 [00:00<00:01,  4.51it/s, Loss=0.233]
+Epoch 602/1001:  11%|█         | 1/9 [00:00<00:01,  4.51it/s, Loss=0.234]
+Epoch 602/1001:  11%|█         | 1/9 [00:00<00:01,  4.51it/s, Loss=0.233]
+Epoch 602/1001: 100%|██████████| 9/9 [00:00<00:00, 25.65it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 603/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 603/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 603/1001:  11%|█         | 1/9 [00:00<00:01,  4.78it/s, Loss=0.23]
+Epoch 603/1001:  11%|█         | 1/9 [00:00<00:01,  4.78it/s, Loss=0.239]
+Epoch 603/1001:  11%|█         | 1/9 [00:00<00:01,  4.78it/s, Loss=0.236]
+Epoch 603/1001:  11%|█         | 1/9 [00:00<00:01,  4.78it/s, Loss=0.236]
+Epoch 603/1001:  11%|█         | 1/9 [00:00<00:01,  4.78it/s, Loss=0.237]
+Epoch 603/1001:  11%|█         | 1/9 [00:00<00:01,  4.78it/s, Loss=0.232]
+Epoch 603/1001:  11%|█         | 1/9 [00:00<00:01,  4.78it/s, Loss=0.232]
+Epoch 603/1001:  11%|█         | 1/9 [00:00<00:01,  4.78it/s, Loss=0.23] 
+Epoch 603/1001:  11%|█         | 1/9 [00:00<00:01,  4.78it/s, Loss=0.233]
+Epoch 603/1001: 100%|██████████| 9/9 [00:00<00:00, 25.29it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 604/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 604/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 604/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.232]
+Epoch 604/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.235]
+Epoch 604/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.232]
+Epoch 604/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.227]
+Epoch 604/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.23] 
+Epoch 604/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.231]
+Epoch 604/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.238]
+Epoch 604/1001:  78%|███████▊  | 7/9 [00:00<00:00, 23.75it/s, Loss=0.238]
+Epoch 604/1001:  78%|███████▊  | 7/9 [00:00<00:00, 23.75it/s, Loss=0.23] 
+Epoch 604/1001:  78%|███████▊  | 7/9 [00:00<00:00, 23.75it/s, Loss=0.232]
+Epoch 604/1001: 100%|██████████| 9/9 [00:00<00:00, 20.84it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 605/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 605/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 605/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.23]
+Epoch 605/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.23]
+Epoch 605/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.235]
+Epoch 605/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.232]
+Epoch 605/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.231]
+Epoch 605/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.232]
+Epoch 605/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.231]
+Epoch 605/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.237]
+Epoch 605/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.228]
+Epoch 605/1001: 100%|██████████| 9/9 [00:00<00:00, 26.16it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 606/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 606/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 606/1001:  11%|█         | 1/9 [00:00<00:01,  5.18it/s, Loss=0.236]
+Epoch 606/1001:  11%|█         | 1/9 [00:00<00:01,  5.18it/s, Loss=0.234]
+Epoch 606/1001:  11%|█         | 1/9 [00:00<00:01,  5.18it/s, Loss=0.234]
+Epoch 606/1001:  11%|█         | 1/9 [00:00<00:01,  5.18it/s, Loss=0.23] 
+Epoch 606/1001:  11%|█         | 1/9 [00:00<00:01,  5.18it/s, Loss=0.235]
+Epoch 606/1001:  11%|█         | 1/9 [00:00<00:01,  5.18it/s, Loss=0.24] 
+Epoch 606/1001:  11%|█         | 1/9 [00:00<00:01,  5.18it/s, Loss=0.23]
+Epoch 606/1001:  11%|█         | 1/9 [00:00<00:01,  5.18it/s, Loss=0.239]
+Epoch 606/1001:  11%|█         | 1/9 [00:00<00:01,  5.18it/s, Loss=0.231]
+Epoch 606/1001: 100%|██████████| 9/9 [00:00<00:00, 28.28it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 607/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 607/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 607/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.232]
+Epoch 607/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.232]
+Epoch 607/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.227]
+Epoch 607/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.233]
+Epoch 607/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.237]
+Epoch 607/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.233]
+Epoch 607/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.231]
+Epoch 607/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.23] 
+Epoch 607/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.237]
+Epoch 607/1001: 100%|██████████| 9/9 [00:00<00:00, 23.91it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 608/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 608/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 608/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.235]
+Epoch 608/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.234]
+Epoch 608/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.236]
+Epoch 608/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.236]
+Epoch 608/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.233]
+Epoch 608/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.234]
+Epoch 608/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.235]
+Epoch 608/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.236]
+Epoch 608/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.232]
+Epoch 608/1001: 100%|██████████| 9/9 [00:00<00:00, 24.64it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 609/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 609/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 609/1001:  11%|█         | 1/9 [00:00<00:01,  4.75it/s, Loss=0.233]
+Epoch 609/1001:  11%|█         | 1/9 [00:00<00:01,  4.75it/s, Loss=0.239]
+Epoch 609/1001:  11%|█         | 1/9 [00:00<00:01,  4.75it/s, Loss=0.235]
+Epoch 609/1001:  11%|█         | 1/9 [00:00<00:01,  4.75it/s, Loss=0.232]
+Epoch 609/1001:  11%|█         | 1/9 [00:00<00:01,  4.75it/s, Loss=0.23] 
+Epoch 609/1001:  11%|█         | 1/9 [00:00<00:01,  4.75it/s, Loss=0.241]
+Epoch 609/1001:  11%|█         | 1/9 [00:00<00:01,  4.75it/s, Loss=0.239]
+Epoch 609/1001:  11%|█         | 1/9 [00:00<00:01,  4.75it/s, Loss=0.234]
+Epoch 609/1001:  89%|████████▉ | 8/9 [00:00<00:00, 29.85it/s, Loss=0.234]
+Epoch 609/1001:  89%|████████▉ | 8/9 [00:00<00:00, 29.85it/s, Loss=0.235]
+Epoch 609/1001: 100%|██████████| 9/9 [00:00<00:00, 22.69it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 610/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 610/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 610/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.238]
+Epoch 610/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.235]
+Epoch 610/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.229]
+Epoch 610/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.235]
+Epoch 610/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.236]
+Epoch 610/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.23] 
+Epoch 610/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.232]
+Epoch 610/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.23] 
+Epoch 610/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.235]
+Epoch 610/1001: 100%|██████████| 9/9 [00:00<00:00, 23.47it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 611/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 611/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 611/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.229]
+Epoch 611/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.234]
+Epoch 611/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.226]
+Epoch 611/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.238]
+Epoch 611/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.231]
+Epoch 611/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.232]
+Epoch 611/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.23] 
+Epoch 611/1001:  11%|█         | 1/9 [00:00<00:01,  4.61it/s, Loss=0.234]
+Epoch 611/1001:  89%|████████▉ | 8/9 [00:00<00:00, 28.69it/s, Loss=0.234]
+Epoch 611/1001:  89%|████████▉ | 8/9 [00:00<00:00, 28.69it/s, Loss=0.229]
+Epoch 611/1001: 100%|██████████| 9/9 [00:00<00:00, 21.80it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 612/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 612/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 612/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.228]
+Epoch 612/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.235]
+Epoch 612/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.232]
+Epoch 612/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.23] 
+Epoch 612/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.228]
+Epoch 612/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.227]
+Epoch 612/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.233]
+Epoch 612/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.232]
+Epoch 612/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.229]
+Epoch 612/1001: 100%|██████████| 9/9 [00:00<00:00, 21.51it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 613/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 613/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 613/1001:  11%|█         | 1/9 [00:00<00:01,  5.31it/s, Loss=0.233]
+Epoch 613/1001:  11%|█         | 1/9 [00:00<00:01,  5.31it/s, Loss=0.23] 
+Epoch 613/1001:  11%|█         | 1/9 [00:00<00:01,  5.31it/s, Loss=0.233]
+Epoch 613/1001:  11%|█         | 1/9 [00:00<00:01,  5.31it/s, Loss=0.228]
+Epoch 613/1001:  11%|█         | 1/9 [00:00<00:01,  5.31it/s, Loss=0.227]
+Epoch 613/1001:  11%|█         | 1/9 [00:00<00:01,  5.31it/s, Loss=0.233]
+Epoch 613/1001:  11%|█         | 1/9 [00:00<00:01,  5.31it/s, Loss=0.238]
+Epoch 613/1001:  11%|█         | 1/9 [00:00<00:01,  5.31it/s, Loss=0.238]
+Epoch 613/1001:  89%|████████▉ | 8/9 [00:00<00:00, 30.93it/s, Loss=0.238]
+Epoch 613/1001:  89%|████████▉ | 8/9 [00:00<00:00, 30.93it/s, Loss=0.235]
+Epoch 613/1001: 100%|██████████| 9/9 [00:00<00:00, 23.23it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 614/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 614/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 614/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.231]
+Epoch 614/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.229]
+Epoch 614/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.236]
+Epoch 614/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.236]
+Epoch 614/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.237]
+Epoch 614/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.23] 
+Epoch 614/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.233]
+Epoch 614/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.235]
+Epoch 614/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.233]
+Epoch 614/1001: 100%|██████████| 9/9 [00:00<00:00, 23.99it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 615/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 615/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 615/1001:  11%|█         | 1/9 [00:00<00:01,  6.22it/s, Loss=0.234]
+Epoch 615/1001:  11%|█         | 1/9 [00:00<00:01,  6.22it/s, Loss=0.228]
+Epoch 615/1001:  11%|█         | 1/9 [00:00<00:01,  6.22it/s, Loss=0.238]
+Epoch 615/1001:  11%|█         | 1/9 [00:00<00:01,  6.22it/s, Loss=0.231]
+Epoch 615/1001:  11%|█         | 1/9 [00:00<00:01,  6.22it/s, Loss=0.231]
+Epoch 615/1001:  11%|█         | 1/9 [00:00<00:01,  6.22it/s, Loss=0.233]
+Epoch 615/1001:  11%|█         | 1/9 [00:00<00:01,  6.22it/s, Loss=0.236]
+Epoch 615/1001:  11%|█         | 1/9 [00:00<00:01,  6.22it/s, Loss=0.234]
+Epoch 615/1001:  11%|█         | 1/9 [00:00<00:01,  6.22it/s, Loss=0.226]
+Epoch 615/1001: 100%|██████████| 9/9 [00:00<00:00, 29.50it/s, Loss=0.226]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 616/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 616/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 616/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.232]
+Epoch 616/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.231]
+Epoch 616/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.231]
+Epoch 616/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.231]
+Epoch 616/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.229]
+Epoch 616/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.23] 
+Epoch 616/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.234]
+Epoch 616/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.239]
+Epoch 616/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.237]
+Epoch 616/1001: 100%|██████████| 9/9 [00:00<00:00, 24.38it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 617/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 617/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.226]
+Epoch 617/1001:  11%|█         | 1/9 [00:00<00:01,  4.62it/s, Loss=0.226]
+Epoch 617/1001:  11%|█         | 1/9 [00:00<00:01,  4.62it/s, Loss=0.233]
+Epoch 617/1001:  11%|█         | 1/9 [00:00<00:01,  4.62it/s, Loss=0.235]
+Epoch 617/1001:  11%|█         | 1/9 [00:00<00:01,  4.62it/s, Loss=0.237]
+Epoch 617/1001:  11%|█         | 1/9 [00:00<00:01,  4.62it/s, Loss=0.23] 
+Epoch 617/1001:  11%|█         | 1/9 [00:00<00:01,  4.62it/s, Loss=0.235]
+Epoch 617/1001:  11%|█         | 1/9 [00:00<00:01,  4.62it/s, Loss=0.234]
+Epoch 617/1001:  11%|█         | 1/9 [00:00<00:01,  4.62it/s, Loss=0.238]
+Epoch 617/1001:  11%|█         | 1/9 [00:00<00:01,  4.62it/s, Loss=0.232]
+Epoch 617/1001: 100%|██████████| 9/9 [00:00<00:00, 24.90it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 618/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 618/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 618/1001:  11%|█         | 1/9 [00:00<00:01,  4.80it/s, Loss=0.229]
+Epoch 618/1001:  11%|█         | 1/9 [00:00<00:01,  4.80it/s, Loss=0.233]
+Epoch 618/1001:  11%|█         | 1/9 [00:00<00:01,  4.80it/s, Loss=0.232]
+Epoch 618/1001:  11%|█         | 1/9 [00:00<00:01,  4.80it/s, Loss=0.232]
+Epoch 618/1001:  11%|█         | 1/9 [00:00<00:01,  4.80it/s, Loss=0.234]
+Epoch 618/1001:  11%|█         | 1/9 [00:00<00:01,  4.80it/s, Loss=0.232]
+Epoch 618/1001:  11%|█         | 1/9 [00:00<00:01,  4.80it/s, Loss=0.227]
+Epoch 618/1001:  11%|█         | 1/9 [00:00<00:01,  4.80it/s, Loss=0.232]
+Epoch 618/1001:  89%|████████▉ | 8/9 [00:00<00:00, 29.63it/s, Loss=0.232]
+Epoch 618/1001:  89%|████████▉ | 8/9 [00:00<00:00, 29.63it/s, Loss=0.229]
+Epoch 618/1001: 100%|██████████| 9/9 [00:00<00:00, 22.40it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 619/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 619/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.227]
+Epoch 619/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.227]
+Epoch 619/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.234]
+Epoch 619/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.236]
+Epoch 619/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.231]
+Epoch 619/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.234]
+Epoch 619/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.237]
+Epoch 619/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.23] 
+Epoch 619/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.228]
+Epoch 619/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.229]
+Epoch 619/1001: 100%|██████████| 9/9 [00:00<00:00, 23.08it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 620/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 620/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 620/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.229]
+Epoch 620/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.234]
+Epoch 620/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.232]
+Epoch 620/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.235]
+Epoch 620/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.23] 
+Epoch 620/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.235]
+Epoch 620/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.235]
+Epoch 620/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.227]
+Epoch 620/1001:  11%|█         | 1/9 [00:00<00:01,  4.19it/s, Loss=0.229]
+Epoch 620/1001: 100%|██████████| 9/9 [00:00<00:00, 23.25it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 621/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 621/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 621/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.237]
+Epoch 621/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.235]
+Epoch 621/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.233]
+Epoch 621/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.234]
+Epoch 621/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.226]
+Epoch 621/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.233]
+Epoch 621/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.228]
+Epoch 621/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.227]
+Epoch 621/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.235]
+Epoch 621/1001: 100%|██████████| 9/9 [00:00<00:00, 21.64it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 622/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 622/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 622/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.235]
+Epoch 622/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.229]
+Epoch 622/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.23] 
+Epoch 622/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.238]
+Epoch 622/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.227]
+Epoch 622/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.229]
+Epoch 622/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.23] 
+Epoch 622/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.232]
+Epoch 622/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.225]
+Epoch 622/1001: 100%|██████████| 9/9 [00:00<00:00, 18.32it/s, Loss=0.225]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 623/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 623/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 623/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.234]
+Epoch 623/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.232]
+Epoch 623/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.236]
+Epoch 623/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.234]
+Epoch 623/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.234]
+Epoch 623/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.232]
+Epoch 623/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.238]
+Epoch 623/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.233]
+Epoch 623/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.73it/s, Loss=0.233]
+Epoch 623/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.73it/s, Loss=0.231]
+Epoch 623/1001: 100%|██████████| 9/9 [00:00<00:00, 19.03it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 624/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 624/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 624/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.231]
+Epoch 624/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.236]
+Epoch 624/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.23] 
+Epoch 624/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.23]
+Epoch 624/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.234]
+Epoch 624/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.235]
+Epoch 624/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.236]
+Epoch 624/1001:  78%|███████▊  | 7/9 [00:00<00:00, 22.61it/s, Loss=0.236]
+Epoch 624/1001:  78%|███████▊  | 7/9 [00:00<00:00, 22.61it/s, Loss=0.236]
+Epoch 624/1001:  78%|███████▊  | 7/9 [00:00<00:00, 22.61it/s, Loss=0.236]
+Epoch 624/1001: 100%|██████████| 9/9 [00:00<00:00, 18.50it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 625/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 625/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.227]
+Epoch 625/1001:  11%|█         | 1/9 [00:00<00:02,  2.93it/s, Loss=0.227]
+Epoch 625/1001:  11%|█         | 1/9 [00:00<00:02,  2.93it/s, Loss=0.235]
+Epoch 625/1001:  11%|█         | 1/9 [00:00<00:02,  2.93it/s, Loss=0.232]
+Epoch 625/1001:  11%|█         | 1/9 [00:00<00:02,  2.93it/s, Loss=0.235]
+Epoch 625/1001:  11%|█         | 1/9 [00:00<00:02,  2.93it/s, Loss=0.232]
+Epoch 625/1001:  11%|█         | 1/9 [00:00<00:02,  2.93it/s, Loss=0.231]
+Epoch 625/1001:  11%|█         | 1/9 [00:00<00:02,  2.93it/s, Loss=0.233]
+Epoch 625/1001:  11%|█         | 1/9 [00:00<00:02,  2.93it/s, Loss=0.231]
+Epoch 625/1001:  11%|█         | 1/9 [00:00<00:02,  2.93it/s, Loss=0.235]
+Epoch 625/1001: 100%|██████████| 9/9 [00:00<00:00, 24.77it/s, Loss=0.235]
+Epoch 625/1001: 100%|██████████| 9/9 [00:00<00:00, 17.20it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 626/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 626/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 626/1001:  11%|█         | 1/9 [00:00<00:02,  2.75it/s, Loss=0.238]
+Epoch 626/1001:  11%|█         | 1/9 [00:00<00:02,  2.75it/s, Loss=0.232]
+Epoch 626/1001:  11%|█         | 1/9 [00:00<00:02,  2.75it/s, Loss=0.228]
+Epoch 626/1001:  11%|█         | 1/9 [00:00<00:02,  2.75it/s, Loss=0.227]
+Epoch 626/1001:  11%|█         | 1/9 [00:00<00:02,  2.75it/s, Loss=0.236]
+Epoch 626/1001:  11%|█         | 1/9 [00:00<00:02,  2.75it/s, Loss=0.231]
+Epoch 626/1001:  11%|█         | 1/9 [00:00<00:02,  2.75it/s, Loss=0.231]
+Epoch 626/1001:  11%|█         | 1/9 [00:00<00:02,  2.75it/s, Loss=0.233]
+Epoch 626/1001:  11%|█         | 1/9 [00:00<00:02,  2.75it/s, Loss=0.235]
+Epoch 626/1001: 100%|██████████| 9/9 [00:00<00:00, 17.59it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 627/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 627/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 627/1001:  11%|█         | 1/9 [00:00<00:02,  2.92it/s, Loss=0.23]
+Epoch 627/1001:  11%|█         | 1/9 [00:00<00:02,  2.92it/s, Loss=0.23]
+Epoch 627/1001:  11%|█         | 1/9 [00:00<00:02,  2.92it/s, Loss=0.232]
+Epoch 627/1001:  11%|█         | 1/9 [00:00<00:02,  2.92it/s, Loss=0.231]
+Epoch 627/1001:  11%|█         | 1/9 [00:00<00:02,  2.92it/s, Loss=0.228]
+Epoch 627/1001:  11%|█         | 1/9 [00:00<00:02,  2.92it/s, Loss=0.23] 
+Epoch 627/1001:  11%|█         | 1/9 [00:00<00:02,  2.92it/s, Loss=0.229]
+Epoch 627/1001:  11%|█         | 1/9 [00:00<00:02,  2.92it/s, Loss=0.232]
+Epoch 627/1001:  11%|█         | 1/9 [00:00<00:02,  2.92it/s, Loss=0.231]
+Epoch 627/1001: 100%|██████████| 9/9 [00:00<00:00, 18.30it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 628/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 628/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 628/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.235]
+Epoch 628/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.234]
+Epoch 628/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.237]
+Epoch 628/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.227]
+Epoch 628/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.228]
+Epoch 628/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.232]
+Epoch 628/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.23] 
+Epoch 628/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.232]
+Epoch 628/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.228]
+Epoch 628/1001: 100%|██████████| 9/9 [00:00<00:00, 21.24it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 629/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 629/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 629/1001:  11%|█         | 1/9 [00:00<00:02,  3.29it/s, Loss=0.231]
+Epoch 629/1001:  11%|█         | 1/9 [00:00<00:02,  3.29it/s, Loss=0.234]
+Epoch 629/1001:  11%|█         | 1/9 [00:00<00:02,  3.29it/s, Loss=0.224]
+Epoch 629/1001:  11%|█         | 1/9 [00:00<00:02,  3.29it/s, Loss=0.232]
+Epoch 629/1001:  11%|█         | 1/9 [00:00<00:02,  3.29it/s, Loss=0.228]
+Epoch 629/1001:  11%|█         | 1/9 [00:00<00:02,  3.29it/s, Loss=0.234]
+Epoch 629/1001:  11%|█         | 1/9 [00:00<00:02,  3.29it/s, Loss=0.232]
+Epoch 629/1001:  78%|███████▊  | 7/9 [00:00<00:00, 21.26it/s, Loss=0.232]
+Epoch 629/1001:  78%|███████▊  | 7/9 [00:00<00:00, 21.26it/s, Loss=0.236]
+Epoch 629/1001:  78%|███████▊  | 7/9 [00:00<00:00, 21.26it/s, Loss=0.226]
+Epoch 629/1001: 100%|██████████| 9/9 [00:00<00:00, 18.29it/s, Loss=0.226]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 630/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 630/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 630/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.231]
+Epoch 630/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.226]
+Epoch 630/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.229]
+Epoch 630/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.23] 
+Epoch 630/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.225]
+Epoch 630/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.23] 
+Epoch 630/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.229]
+Epoch 630/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.23] 
+Epoch 630/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.231]
+Epoch 630/1001: 100%|██████████| 9/9 [00:00<00:00, 22.64it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 631/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 631/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 631/1001:  11%|█         | 1/9 [00:00<00:02,  2.91it/s, Loss=0.234]
+Epoch 631/1001:  11%|█         | 1/9 [00:00<00:02,  2.91it/s, Loss=0.231]
+Epoch 631/1001:  11%|█         | 1/9 [00:00<00:02,  2.91it/s, Loss=0.23] 
+Epoch 631/1001:  11%|█         | 1/9 [00:00<00:02,  2.91it/s, Loss=0.229]
+Epoch 631/1001:  11%|█         | 1/9 [00:00<00:02,  2.91it/s, Loss=0.236]
+Epoch 631/1001:  11%|█         | 1/9 [00:00<00:02,  2.91it/s, Loss=0.234]
+Epoch 631/1001:  67%|██████▋   | 6/9 [00:00<00:00, 16.58it/s, Loss=0.234]
+Epoch 631/1001:  67%|██████▋   | 6/9 [00:00<00:00, 16.58it/s, Loss=0.235]
+Epoch 631/1001:  67%|██████▋   | 6/9 [00:00<00:00, 16.58it/s, Loss=0.232]
+Epoch 631/1001:  67%|██████▋   | 6/9 [00:00<00:00, 16.58it/s, Loss=0.236]
+Epoch 631/1001: 100%|██████████| 9/9 [00:00<00:00, 16.68it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 632/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 632/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.226]
+Epoch 632/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.226]
+Epoch 632/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.231]
+Epoch 632/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.231]
+Epoch 632/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.234]
+Epoch 632/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.227]
+Epoch 632/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.235]
+Epoch 632/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.234]
+Epoch 632/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.232]
+Epoch 632/1001:  89%|████████▉ | 8/9 [00:00<00:00, 25.79it/s, Loss=0.232]
+Epoch 632/1001:  89%|████████▉ | 8/9 [00:00<00:00, 25.79it/s, Loss=0.227]
+Epoch 632/1001: 100%|██████████| 9/9 [00:00<00:00, 20.02it/s, Loss=0.227]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 633/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 633/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.227]
+Epoch 633/1001:  11%|█         | 1/9 [00:00<00:02,  3.45it/s, Loss=0.227]
+Epoch 633/1001:  11%|█         | 1/9 [00:00<00:02,  3.45it/s, Loss=0.233]
+Epoch 633/1001:  11%|█         | 1/9 [00:00<00:02,  3.45it/s, Loss=0.231]
+Epoch 633/1001:  11%|█         | 1/9 [00:00<00:02,  3.45it/s, Loss=0.232]
+Epoch 633/1001:  11%|█         | 1/9 [00:00<00:02,  3.45it/s, Loss=0.234]
+Epoch 633/1001:  11%|█         | 1/9 [00:00<00:02,  3.45it/s, Loss=0.23] 
+Epoch 633/1001:  11%|█         | 1/9 [00:00<00:02,  3.45it/s, Loss=0.229]
+Epoch 633/1001:  11%|█         | 1/9 [00:00<00:02,  3.45it/s, Loss=0.235]
+Epoch 633/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.77it/s, Loss=0.235]
+Epoch 633/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.77it/s, Loss=0.236]
+Epoch 633/1001: 100%|██████████| 9/9 [00:00<00:00, 19.51it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 634/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 634/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 634/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.235]
+Epoch 634/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.228]
+Epoch 634/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.234]
+Epoch 634/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.231]
+Epoch 634/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.237]
+Epoch 634/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.227]
+Epoch 634/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.231]
+Epoch 634/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.239]
+Epoch 634/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.237]
+Epoch 634/1001: 100%|██████████| 9/9 [00:00<00:00, 19.99it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 635/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 635/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 635/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.234]
+Epoch 635/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.235]
+Epoch 635/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.235]
+Epoch 635/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.227]
+Epoch 635/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.235]
+Epoch 635/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.232]
+Epoch 635/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.23] 
+Epoch 635/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.23]
+Epoch 635/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.235]
+Epoch 635/1001: 100%|██████████| 9/9 [00:00<00:00, 22.40it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 636/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 636/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 636/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.236]
+Epoch 636/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.225]
+Epoch 636/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.235]
+Epoch 636/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.236]
+Epoch 636/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.238]
+Epoch 636/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.233]
+Epoch 636/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.231]
+Epoch 636/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.228]
+Epoch 636/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.234]
+Epoch 636/1001: 100%|██████████| 9/9 [00:00<00:00, 27.10it/s, Loss=0.234]
+Epoch 636/1001: 100%|██████████| 9/9 [00:00<00:00, 19.08it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 637/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 637/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 637/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.236]
+Epoch 637/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.229]
+Epoch 637/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.225]
+Epoch 637/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.234]
+Epoch 637/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.232]
+Epoch 637/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.23] 
+Epoch 637/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.233]
+Epoch 637/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.231]
+Epoch 637/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.235]
+Epoch 637/1001: 100%|██████████| 9/9 [00:00<00:00, 24.63it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 638/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 638/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 638/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.236]
+Epoch 638/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.23] 
+Epoch 638/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.233]
+Epoch 638/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.233]
+Epoch 638/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.233]
+Epoch 638/1001:  56%|█████▌    | 5/9 [00:00<00:00, 16.11it/s, Loss=0.233]
+Epoch 638/1001:  56%|█████▌    | 5/9 [00:00<00:00, 16.11it/s, Loss=0.23] 
+Epoch 638/1001:  56%|█████▌    | 5/9 [00:00<00:00, 16.11it/s, Loss=0.234]
+Epoch 638/1001:  56%|█████▌    | 5/9 [00:00<00:00, 16.11it/s, Loss=0.231]
+Epoch 638/1001:  56%|█████▌    | 5/9 [00:00<00:00, 16.11it/s, Loss=0.236]
+Epoch 638/1001: 100%|██████████| 9/9 [00:00<00:00, 18.85it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 639/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 639/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 639/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.233]
+Epoch 639/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.232]
+Epoch 639/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.234]
+Epoch 639/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.234]
+Epoch 639/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.236]
+Epoch 639/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.229]
+Epoch 639/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.232]
+Epoch 639/1001:  11%|█         | 1/9 [00:00<00:02,  3.69it/s, Loss=0.232]
+Epoch 639/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.40it/s, Loss=0.232]
+Epoch 639/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.40it/s, Loss=0.234]
+Epoch 639/1001: 100%|██████████| 9/9 [00:00<00:00, 20.62it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 640/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 640/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 640/1001:  11%|█         | 1/9 [00:00<00:01,  5.38it/s, Loss=0.236]
+Epoch 640/1001:  11%|█         | 1/9 [00:00<00:01,  5.38it/s, Loss=0.229]
+Epoch 640/1001:  11%|█         | 1/9 [00:00<00:01,  5.38it/s, Loss=0.237]
+Epoch 640/1001:  11%|█         | 1/9 [00:00<00:01,  5.38it/s, Loss=0.235]
+Epoch 640/1001:  11%|█         | 1/9 [00:00<00:01,  5.38it/s, Loss=0.23] 
+Epoch 640/1001:  11%|█         | 1/9 [00:00<00:01,  5.38it/s, Loss=0.234]
+Epoch 640/1001:  11%|█         | 1/9 [00:00<00:01,  5.38it/s, Loss=0.231]
+Epoch 640/1001:  11%|█         | 1/9 [00:00<00:01,  5.38it/s, Loss=0.228]
+Epoch 640/1001:  11%|█         | 1/9 [00:00<00:01,  5.38it/s, Loss=0.233]
+Epoch 640/1001: 100%|██████████| 9/9 [00:00<00:00, 28.29it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 641/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 641/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 641/1001:  11%|█         | 1/9 [00:00<00:01,  7.05it/s, Loss=0.23]
+Epoch 641/1001:  11%|█         | 1/9 [00:00<00:01,  7.05it/s, Loss=0.237]
+Epoch 641/1001:  11%|█         | 1/9 [00:00<00:01,  7.05it/s, Loss=0.229]
+Epoch 641/1001:  11%|█         | 1/9 [00:00<00:01,  7.05it/s, Loss=0.237]
+Epoch 641/1001:  11%|█         | 1/9 [00:00<00:01,  7.05it/s, Loss=0.232]
+Epoch 641/1001:  11%|█         | 1/9 [00:00<00:01,  7.05it/s, Loss=0.229]
+Epoch 641/1001:  11%|█         | 1/9 [00:00<00:01,  7.05it/s, Loss=0.233]
+Epoch 641/1001:  11%|█         | 1/9 [00:00<00:01,  7.05it/s, Loss=0.234]
+Epoch 641/1001:  11%|█         | 1/9 [00:00<00:01,  7.05it/s, Loss=0.232]
+Epoch 641/1001: 100%|██████████| 9/9 [00:00<00:00, 33.08it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 642/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 642/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 642/1001:  11%|█         | 1/9 [00:00<00:01,  4.59it/s, Loss=0.228]
+Epoch 642/1001:  11%|█         | 1/9 [00:00<00:01,  4.59it/s, Loss=0.23] 
+Epoch 642/1001:  11%|█         | 1/9 [00:00<00:01,  4.59it/s, Loss=0.237]
+Epoch 642/1001:  11%|█         | 1/9 [00:00<00:01,  4.59it/s, Loss=0.238]
+Epoch 642/1001:  11%|█         | 1/9 [00:00<00:01,  4.59it/s, Loss=0.227]
+Epoch 642/1001:  11%|█         | 1/9 [00:00<00:01,  4.59it/s, Loss=0.23] 
+Epoch 642/1001:  11%|█         | 1/9 [00:00<00:01,  4.59it/s, Loss=0.236]
+Epoch 642/1001:  11%|█         | 1/9 [00:00<00:01,  4.59it/s, Loss=0.235]
+Epoch 642/1001:  11%|█         | 1/9 [00:00<00:01,  4.59it/s, Loss=0.235]
+Epoch 642/1001: 100%|██████████| 9/9 [00:00<00:00, 25.58it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 643/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 643/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 643/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.231]
+Epoch 643/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.225]
+Epoch 643/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.229]
+Epoch 643/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.233]
+Epoch 643/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.23] 
+Epoch 643/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.233]
+Epoch 643/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.233]
+Epoch 643/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.223]
+Epoch 643/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.233]
+Epoch 643/1001: 100%|██████████| 9/9 [00:00<00:00, 27.06it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 644/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 644/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 644/1001:  11%|█         | 1/9 [00:00<00:01,  5.91it/s, Loss=0.23]
+Epoch 644/1001:  11%|█         | 1/9 [00:00<00:01,  5.91it/s, Loss=0.237]
+Epoch 644/1001:  11%|█         | 1/9 [00:00<00:01,  5.91it/s, Loss=0.232]
+Epoch 644/1001:  11%|█         | 1/9 [00:00<00:01,  5.91it/s, Loss=0.227]
+Epoch 644/1001:  11%|█         | 1/9 [00:00<00:01,  5.91it/s, Loss=0.23] 
+Epoch 644/1001:  11%|█         | 1/9 [00:00<00:01,  5.91it/s, Loss=0.232]
+Epoch 644/1001:  11%|█         | 1/9 [00:00<00:01,  5.91it/s, Loss=0.231]
+Epoch 644/1001:  11%|█         | 1/9 [00:00<00:01,  5.91it/s, Loss=0.236]
+Epoch 644/1001:  11%|█         | 1/9 [00:00<00:01,  5.91it/s, Loss=0.228]
+Epoch 644/1001: 100%|██████████| 9/9 [00:00<00:00, 39.26it/s, Loss=0.228]
+Epoch 644/1001: 100%|██████████| 9/9 [00:00<00:00, 24.73it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 645/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 645/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 645/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.234]
+Epoch 645/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.229]
+Epoch 645/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.227]
+Epoch 645/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.233]
+Epoch 645/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.235]
+Epoch 645/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.236]
+Epoch 645/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.23] 
+Epoch 645/1001:  78%|███████▊  | 7/9 [00:00<00:00, 23.89it/s, Loss=0.23]
+Epoch 645/1001:  78%|███████▊  | 7/9 [00:00<00:00, 23.89it/s, Loss=0.228]
+Epoch 645/1001:  78%|███████▊  | 7/9 [00:00<00:00, 23.89it/s, Loss=0.229]
+Epoch 645/1001: 100%|██████████| 9/9 [00:00<00:00, 21.49it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 646/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 646/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 646/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.23]
+Epoch 646/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.235]
+Epoch 646/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.236]
+Epoch 646/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.227]
+Epoch 646/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.227]
+Epoch 646/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.235]
+Epoch 646/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.231]
+Epoch 646/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.226]
+Epoch 646/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.78it/s, Loss=0.226]
+Epoch 646/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.78it/s, Loss=0.229]
+Epoch 646/1001: 100%|██████████| 9/9 [00:00<00:00, 20.20it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 647/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 647/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 647/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.231]
+Epoch 647/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.228]
+Epoch 647/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.24] 
+Epoch 647/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.232]
+Epoch 647/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.234]
+Epoch 647/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.235]
+Epoch 647/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.231]
+Epoch 647/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.233]
+Epoch 647/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.232]
+Epoch 647/1001: 100%|██████████| 9/9 [00:00<00:00, 20.13it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 648/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 648/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 648/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.236]
+Epoch 648/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.235]
+Epoch 648/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.228]
+Epoch 648/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.237]
+Epoch 648/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.229]
+Epoch 648/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.237]
+Epoch 648/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.231]
+Epoch 648/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.226]
+Epoch 648/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.235]
+Epoch 648/1001: 100%|██████████| 9/9 [00:00<00:00, 22.72it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 649/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 649/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 649/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.233]
+Epoch 649/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.235]
+Epoch 649/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.233]
+Epoch 649/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.23] 
+Epoch 649/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.237]
+Epoch 649/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.234]
+Epoch 649/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.227]
+Epoch 649/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.238]
+Epoch 649/1001:  11%|█         | 1/9 [00:00<00:02,  3.65it/s, Loss=0.227]
+Epoch 649/1001: 100%|██████████| 9/9 [00:00<00:00, 21.93it/s, Loss=0.227]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 650/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 650/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.227]
+Epoch 650/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.227]
+Epoch 650/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.234]
+Epoch 650/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.231]
+Epoch 650/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.233]
+Epoch 650/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.23] 
+Epoch 650/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.234]
+Epoch 650/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.228]
+Epoch 650/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.238]
+Epoch 650/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.229]
+Epoch 650/1001: 100%|██████████| 9/9 [00:00<00:00, 21.82it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 651/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 651/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 651/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.234]
+Epoch 651/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.231]
+Epoch 651/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.231]
+Epoch 651/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.232]
+Epoch 651/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.234]
+Epoch 651/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.228]
+Epoch 651/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.224]
+Epoch 651/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.23] 
+Epoch 651/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.228]
+Epoch 651/1001: 100%|██████████| 9/9 [00:00<00:00, 22.82it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 652/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 652/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 652/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.229]
+Epoch 652/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.23] 
+Epoch 652/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.228]
+Epoch 652/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.23] 
+Epoch 652/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.235]
+Epoch 652/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.232]
+Epoch 652/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.232]
+Epoch 652/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.228]
+Epoch 652/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.235]
+Epoch 652/1001: 100%|██████████| 9/9 [00:00<00:00, 24.34it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 653/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 653/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.227]
+Epoch 653/1001:  11%|█         | 1/9 [00:00<00:01,  5.37it/s, Loss=0.227]
+Epoch 653/1001:  11%|█         | 1/9 [00:00<00:01,  5.37it/s, Loss=0.227]
+Epoch 653/1001:  11%|█         | 1/9 [00:00<00:01,  5.37it/s, Loss=0.235]
+Epoch 653/1001:  11%|█         | 1/9 [00:00<00:01,  5.37it/s, Loss=0.231]
+Epoch 653/1001:  11%|█         | 1/9 [00:00<00:01,  5.37it/s, Loss=0.229]
+Epoch 653/1001:  11%|█         | 1/9 [00:00<00:01,  5.37it/s, Loss=0.234]
+Epoch 653/1001:  11%|█         | 1/9 [00:00<00:01,  5.37it/s, Loss=0.23] 
+Epoch 653/1001:  11%|█         | 1/9 [00:00<00:01,  5.37it/s, Loss=0.234]
+Epoch 653/1001:  11%|█         | 1/9 [00:00<00:01,  5.37it/s, Loss=0.228]
+Epoch 653/1001: 100%|██████████| 9/9 [00:00<00:00, 27.44it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 654/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 654/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 654/1001:  11%|█         | 1/9 [00:00<00:01,  6.96it/s, Loss=0.23]
+Epoch 654/1001:  11%|█         | 1/9 [00:00<00:01,  6.96it/s, Loss=0.23]
+Epoch 654/1001:  11%|█         | 1/9 [00:00<00:01,  6.96it/s, Loss=0.231]
+Epoch 654/1001:  11%|█         | 1/9 [00:00<00:01,  6.96it/s, Loss=0.237]
+Epoch 654/1001:  11%|█         | 1/9 [00:00<00:01,  6.96it/s, Loss=0.231]
+Epoch 654/1001:  11%|█         | 1/9 [00:00<00:01,  6.96it/s, Loss=0.228]
+Epoch 654/1001:  11%|█         | 1/9 [00:00<00:01,  6.96it/s, Loss=0.23] 
+Epoch 654/1001:  11%|█         | 1/9 [00:00<00:01,  6.96it/s, Loss=0.23]
+Epoch 654/1001:  89%|████████▉ | 8/9 [00:00<00:00, 36.63it/s, Loss=0.23]
+Epoch 654/1001:  89%|████████▉ | 8/9 [00:00<00:00, 36.63it/s, Loss=0.232]
+Epoch 654/1001: 100%|██████████| 9/9 [00:00<00:00, 27.35it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 655/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 655/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.227]
+Epoch 655/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.227]
+Epoch 655/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.234]
+Epoch 655/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.234]
+Epoch 655/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.232]
+Epoch 655/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.23] 
+Epoch 655/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.226]
+Epoch 655/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.229]
+Epoch 655/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.228]
+Epoch 655/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.228]
+Epoch 655/1001: 100%|██████████| 9/9 [00:00<00:00, 22.02it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 656/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 656/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 656/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.231]
+Epoch 656/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.236]
+Epoch 656/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.236]
+Epoch 656/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.228]
+Epoch 656/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.231]
+Epoch 656/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.229]
+Epoch 656/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.226]
+Epoch 656/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.229]
+Epoch 656/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.228]
+Epoch 656/1001: 100%|██████████| 9/9 [00:00<00:00, 27.60it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 657/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 657/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.227]
+Epoch 657/1001:  11%|█         | 1/9 [00:00<00:01,  4.49it/s, Loss=0.227]
+Epoch 657/1001:  11%|█         | 1/9 [00:00<00:01,  4.49it/s, Loss=0.23] 
+Epoch 657/1001:  11%|█         | 1/9 [00:00<00:01,  4.49it/s, Loss=0.231]
+Epoch 657/1001:  11%|█         | 1/9 [00:00<00:01,  4.49it/s, Loss=0.231]
+Epoch 657/1001:  11%|█         | 1/9 [00:00<00:01,  4.49it/s, Loss=0.232]
+Epoch 657/1001:  11%|█         | 1/9 [00:00<00:01,  4.49it/s, Loss=0.235]
+Epoch 657/1001:  11%|█         | 1/9 [00:00<00:01,  4.49it/s, Loss=0.235]
+Epoch 657/1001:  11%|█         | 1/9 [00:00<00:01,  4.49it/s, Loss=0.227]
+Epoch 657/1001:  11%|█         | 1/9 [00:00<00:01,  4.49it/s, Loss=0.237]
+Epoch 657/1001: 100%|██████████| 9/9 [00:00<00:00, 24.56it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 658/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 658/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 658/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.228]
+Epoch 658/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.232]
+Epoch 658/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.224]
+Epoch 658/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.232]
+Epoch 658/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.23] 
+Epoch 658/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.224]
+Epoch 658/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.24] 
+Epoch 658/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.232]
+Epoch 658/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.23] 
+Epoch 658/1001: 100%|██████████| 9/9 [00:00<00:00, 24.53it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 659/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 659/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 659/1001:  11%|█         | 1/9 [00:00<00:01,  5.62it/s, Loss=0.23]
+Epoch 659/1001:  11%|█         | 1/9 [00:00<00:01,  5.62it/s, Loss=0.236]
+Epoch 659/1001:  11%|█         | 1/9 [00:00<00:01,  5.62it/s, Loss=0.231]
+Epoch 659/1001:  11%|█         | 1/9 [00:00<00:01,  5.62it/s, Loss=0.234]
+Epoch 659/1001:  11%|█         | 1/9 [00:00<00:01,  5.62it/s, Loss=0.23] 
+Epoch 659/1001:  11%|█         | 1/9 [00:00<00:01,  5.62it/s, Loss=0.231]
+Epoch 659/1001:  11%|█         | 1/9 [00:00<00:01,  5.62it/s, Loss=0.229]
+Epoch 659/1001:  11%|█         | 1/9 [00:00<00:01,  5.62it/s, Loss=0.232]
+Epoch 659/1001:  89%|████████▉ | 8/9 [00:00<00:00, 33.80it/s, Loss=0.232]
+Epoch 659/1001:  89%|████████▉ | 8/9 [00:00<00:00, 33.80it/s, Loss=0.229]
+Epoch 659/1001: 100%|██████████| 9/9 [00:00<00:00, 25.56it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 660/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 660/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 660/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.238]
+Epoch 660/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.224]
+Epoch 660/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.23] 
+Epoch 660/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.229]
+Epoch 660/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.233]
+Epoch 660/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.235]
+Epoch 660/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.234]
+Epoch 660/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.23] 
+Epoch 660/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.231]
+Epoch 660/1001: 100%|██████████| 9/9 [00:00<00:00, 24.19it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 661/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 661/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 661/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.237]
+Epoch 661/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.237]
+Epoch 661/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.23] 
+Epoch 661/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.233]
+Epoch 661/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.229]
+Epoch 661/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.236]
+Epoch 661/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.233]
+Epoch 661/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.233]
+Epoch 661/1001:  11%|█         | 1/9 [00:00<00:02,  3.62it/s, Loss=0.227]
+Epoch 661/1001: 100%|██████████| 9/9 [00:00<00:00, 22.33it/s, Loss=0.227]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 662/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 662/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 662/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.229]
+Epoch 662/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.235]
+Epoch 662/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.229]
+Epoch 662/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.232]
+Epoch 662/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.231]
+Epoch 662/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.23] 
+Epoch 662/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.23]
+Epoch 662/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.228]
+Epoch 662/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.235]
+Epoch 662/1001: 100%|██████████| 9/9 [00:00<00:00, 23.16it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 663/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 663/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 663/1001:  11%|█         | 1/9 [00:00<00:01,  4.55it/s, Loss=0.238]
+Epoch 663/1001:  11%|█         | 1/9 [00:00<00:01,  4.55it/s, Loss=0.228]
+Epoch 663/1001:  11%|█         | 1/9 [00:00<00:01,  4.55it/s, Loss=0.236]
+Epoch 663/1001:  11%|█         | 1/9 [00:00<00:01,  4.55it/s, Loss=0.234]
+Epoch 663/1001:  11%|█         | 1/9 [00:00<00:01,  4.55it/s, Loss=0.23] 
+Epoch 663/1001:  11%|█         | 1/9 [00:00<00:01,  4.55it/s, Loss=0.239]
+Epoch 663/1001:  11%|█         | 1/9 [00:00<00:01,  4.55it/s, Loss=0.233]
+Epoch 663/1001:  11%|█         | 1/9 [00:00<00:01,  4.55it/s, Loss=0.234]
+Epoch 663/1001:  11%|█         | 1/9 [00:00<00:01,  4.55it/s, Loss=0.23] 
+Epoch 663/1001: 100%|██████████| 9/9 [00:00<00:00, 24.00it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 664/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 664/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 664/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.231]
+Epoch 664/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.232]
+Epoch 664/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.228]
+Epoch 664/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.233]
+Epoch 664/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.232]
+Epoch 664/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.231]
+Epoch 664/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.232]
+Epoch 664/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.235]
+Epoch 664/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.227]
+Epoch 664/1001: 100%|██████████| 9/9 [00:00<00:00, 31.85it/s, Loss=0.227]
+Epoch 664/1001: 100%|██████████| 9/9 [00:00<00:00, 22.97it/s, Loss=0.227]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 665/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 665/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 665/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.234]
+Epoch 665/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.235]
+Epoch 665/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.23] 
+Epoch 665/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.235]
+Epoch 665/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.234]
+Epoch 665/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.232]
+Epoch 665/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.231]
+Epoch 665/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.23] 
+Epoch 665/1001:  11%|█         | 1/9 [00:00<00:01,  5.02it/s, Loss=0.229]
+Epoch 665/1001: 100%|██████████| 9/9 [00:00<00:00, 25.90it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 666/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 666/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 666/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.231]
+Epoch 666/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.232]
+Epoch 666/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.233]
+Epoch 666/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.234]
+Epoch 666/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.232]
+Epoch 666/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.232]
+Epoch 666/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.23] 
+Epoch 666/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.235]
+Epoch 666/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.226]
+Epoch 666/1001: 100%|██████████| 9/9 [00:00<00:00, 20.56it/s, Loss=0.226]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 667/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 667/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 667/1001:  11%|█         | 1/9 [00:00<00:01,  4.39it/s, Loss=0.23]
+Epoch 667/1001:  11%|█         | 1/9 [00:00<00:01,  4.39it/s, Loss=0.229]
+Epoch 667/1001:  11%|█         | 1/9 [00:00<00:01,  4.39it/s, Loss=0.229]
+Epoch 667/1001:  11%|█         | 1/9 [00:00<00:01,  4.39it/s, Loss=0.232]
+Epoch 667/1001:  11%|█         | 1/9 [00:00<00:01,  4.39it/s, Loss=0.233]
+Epoch 667/1001:  11%|█         | 1/9 [00:00<00:01,  4.39it/s, Loss=0.237]
+Epoch 667/1001:  11%|█         | 1/9 [00:00<00:01,  4.39it/s, Loss=0.235]
+Epoch 667/1001:  11%|█         | 1/9 [00:00<00:01,  4.39it/s, Loss=0.233]
+Epoch 667/1001:  89%|████████▉ | 8/9 [00:00<00:00, 29.23it/s, Loss=0.233]
+Epoch 667/1001:  89%|████████▉ | 8/9 [00:00<00:00, 29.23it/s, Loss=0.234]
+Epoch 667/1001: 100%|██████████| 9/9 [00:00<00:00, 22.43it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 668/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 668/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 668/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.233]
+Epoch 668/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.23] 
+Epoch 668/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.228]
+Epoch 668/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.23] 
+Epoch 668/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.228]
+Epoch 668/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.233]
+Epoch 668/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.231]
+Epoch 668/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.231]
+Epoch 668/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.229]
+Epoch 668/1001: 100%|██████████| 9/9 [00:00<00:00, 22.06it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 669/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 669/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 669/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.234]
+Epoch 669/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.232]
+Epoch 669/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.231]
+Epoch 669/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.232]
+Epoch 669/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.233]
+Epoch 669/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.231]
+Epoch 669/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.228]
+Epoch 669/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.227]
+Epoch 669/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.229]
+Epoch 669/1001: 100%|██████████| 9/9 [00:00<00:00, 21.11it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 670/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 670/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 670/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.232]
+Epoch 670/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.234]
+Epoch 670/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.226]
+Epoch 670/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.232]
+Epoch 670/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.236]
+Epoch 670/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.234]
+Epoch 670/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.238]
+Epoch 670/1001:  78%|███████▊  | 7/9 [00:00<00:00, 20.80it/s, Loss=0.238]
+Epoch 670/1001:  78%|███████▊  | 7/9 [00:00<00:00, 20.80it/s, Loss=0.225]
+Epoch 670/1001:  78%|███████▊  | 7/9 [00:00<00:00, 20.80it/s, Loss=0.233]
+Epoch 670/1001: 100%|██████████| 9/9 [00:00<00:00, 17.35it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 671/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 671/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.226]
+Epoch 671/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.226]
+Epoch 671/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.235]
+Epoch 671/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.229]
+Epoch 671/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.237]
+Epoch 671/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.235]
+Epoch 671/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.234]
+Epoch 671/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.234]
+Epoch 671/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.233]
+Epoch 671/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.232]
+Epoch 671/1001: 100%|██████████| 9/9 [00:00<00:00, 22.89it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 672/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 672/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 672/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.233]
+Epoch 672/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.229]
+Epoch 672/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.235]
+Epoch 672/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.23] 
+Epoch 672/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.229]
+Epoch 672/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.237]
+Epoch 672/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.234]
+Epoch 672/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.234]
+Epoch 672/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.225]
+Epoch 672/1001: 100%|██████████| 9/9 [00:00<00:00, 24.12it/s, Loss=0.225]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 673/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 673/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 673/1001:  11%|█         | 1/9 [00:00<00:01,  4.49it/s, Loss=0.229]
+Epoch 673/1001:  11%|█         | 1/9 [00:00<00:01,  4.49it/s, Loss=0.23] 
+Epoch 673/1001:  11%|█         | 1/9 [00:00<00:01,  4.49it/s, Loss=0.231]
+Epoch 673/1001:  11%|█         | 1/9 [00:00<00:01,  4.49it/s, Loss=0.232]
+Epoch 673/1001:  11%|█         | 1/9 [00:00<00:01,  4.49it/s, Loss=0.227]
+Epoch 673/1001:  11%|█         | 1/9 [00:00<00:01,  4.49it/s, Loss=0.231]
+Epoch 673/1001:  11%|█         | 1/9 [00:00<00:01,  4.49it/s, Loss=0.23] 
+Epoch 673/1001:  11%|█         | 1/9 [00:00<00:01,  4.49it/s, Loss=0.236]
+Epoch 673/1001:  11%|█         | 1/9 [00:00<00:01,  4.49it/s, Loss=0.226]
+Epoch 673/1001: 100%|██████████| 9/9 [00:00<00:00, 24.30it/s, Loss=0.226]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 674/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 674/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 674/1001:  11%|█         | 1/9 [00:00<00:01,  4.62it/s, Loss=0.233]
+Epoch 674/1001:  11%|█         | 1/9 [00:00<00:01,  4.62it/s, Loss=0.226]
+Epoch 674/1001:  11%|█         | 1/9 [00:00<00:01,  4.62it/s, Loss=0.235]
+Epoch 674/1001:  11%|█         | 1/9 [00:00<00:01,  4.62it/s, Loss=0.232]
+Epoch 674/1001:  11%|█         | 1/9 [00:00<00:01,  4.62it/s, Loss=0.229]
+Epoch 674/1001:  11%|█         | 1/9 [00:00<00:01,  4.62it/s, Loss=0.234]
+Epoch 674/1001:  11%|█         | 1/9 [00:00<00:01,  4.62it/s, Loss=0.228]
+Epoch 674/1001:  11%|█         | 1/9 [00:00<00:01,  4.62it/s, Loss=0.237]
+Epoch 674/1001:  11%|█         | 1/9 [00:00<00:01,  4.62it/s, Loss=0.235]
+Epoch 674/1001: 100%|██████████| 9/9 [00:00<00:00, 33.38it/s, Loss=0.235]
+Epoch 674/1001: 100%|██████████| 9/9 [00:00<00:00, 24.59it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 675/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 675/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 675/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.235]
+Epoch 675/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.231]
+Epoch 675/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.234]
+Epoch 675/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.237]
+Epoch 675/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.237]
+Epoch 675/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.234]
+Epoch 675/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.232]
+Epoch 675/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.238]
+Epoch 675/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.233]
+Epoch 675/1001: 100%|██████████| 9/9 [00:00<00:00, 21.59it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 676/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 676/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.227]
+Epoch 676/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.227]
+Epoch 676/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.231]
+Epoch 676/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.234]
+Epoch 676/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.233]
+Epoch 676/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.231]
+Epoch 676/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.234]
+Epoch 676/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.232]
+Epoch 676/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.228]
+Epoch 676/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.243]
+Epoch 676/1001: 100%|██████████| 9/9 [00:00<00:00, 21.39it/s, Loss=0.243]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 677/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 677/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 677/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.235]
+Epoch 677/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.232]
+Epoch 677/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.229]
+Epoch 677/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.232]
+Epoch 677/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.23] 
+Epoch 677/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.227]
+Epoch 677/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.233]
+Epoch 677/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.229]
+Epoch 677/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.232]
+Epoch 677/1001: 100%|██████████| 9/9 [00:00<00:00, 20.50it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 678/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 678/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 678/1001:  11%|█         | 1/9 [00:00<00:02,  3.49it/s, Loss=0.231]
+Epoch 678/1001:  11%|█         | 1/9 [00:00<00:02,  3.49it/s, Loss=0.234]
+Epoch 678/1001:  11%|█         | 1/9 [00:00<00:02,  3.49it/s, Loss=0.234]
+Epoch 678/1001:  11%|█         | 1/9 [00:00<00:02,  3.49it/s, Loss=0.23] 
+Epoch 678/1001:  11%|█         | 1/9 [00:00<00:02,  3.49it/s, Loss=0.234]
+Epoch 678/1001:  11%|█         | 1/9 [00:00<00:02,  3.49it/s, Loss=0.236]
+Epoch 678/1001:  11%|█         | 1/9 [00:00<00:02,  3.49it/s, Loss=0.23] 
+Epoch 678/1001:  11%|█         | 1/9 [00:00<00:02,  3.49it/s, Loss=0.227]
+Epoch 678/1001:  11%|█         | 1/9 [00:00<00:02,  3.49it/s, Loss=0.239]
+Epoch 678/1001: 100%|██████████| 9/9 [00:00<00:00, 28.08it/s, Loss=0.239]
+Epoch 678/1001: 100%|██████████| 9/9 [00:00<00:00, 19.98it/s, Loss=0.239]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 679/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 679/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 679/1001:  11%|█         | 1/9 [00:00<00:01,  4.41it/s, Loss=0.234]
+Epoch 679/1001:  11%|█         | 1/9 [00:00<00:01,  4.41it/s, Loss=0.237]
+Epoch 679/1001:  11%|█         | 1/9 [00:00<00:01,  4.41it/s, Loss=0.232]
+Epoch 679/1001:  11%|█         | 1/9 [00:00<00:01,  4.41it/s, Loss=0.233]
+Epoch 679/1001:  11%|█         | 1/9 [00:00<00:01,  4.41it/s, Loss=0.227]
+Epoch 679/1001:  11%|█         | 1/9 [00:00<00:01,  4.41it/s, Loss=0.234]
+Epoch 679/1001:  11%|█         | 1/9 [00:00<00:01,  4.41it/s, Loss=0.23] 
+Epoch 679/1001:  11%|█         | 1/9 [00:00<00:01,  4.41it/s, Loss=0.23]
+Epoch 679/1001:  89%|████████▉ | 8/9 [00:00<00:00, 29.10it/s, Loss=0.23]
+Epoch 679/1001:  89%|████████▉ | 8/9 [00:00<00:00, 29.10it/s, Loss=0.232]
+Epoch 679/1001: 100%|██████████| 9/9 [00:00<00:00, 21.80it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 680/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 680/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 680/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.23]
+Epoch 680/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.224]
+Epoch 680/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.236]
+Epoch 680/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.232]
+Epoch 680/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.24] 
+Epoch 680/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.236]
+Epoch 680/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.227]
+Epoch 680/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.232]
+Epoch 680/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.234]
+Epoch 680/1001: 100%|██████████| 9/9 [00:00<00:00, 20.28it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 681/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 681/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.227]
+Epoch 681/1001:  11%|█         | 1/9 [00:00<00:02,  3.33it/s, Loss=0.227]
+Epoch 681/1001:  11%|█         | 1/9 [00:00<00:02,  3.33it/s, Loss=0.227]
+Epoch 681/1001:  11%|█         | 1/9 [00:00<00:02,  3.33it/s, Loss=0.23] 
+Epoch 681/1001:  11%|█         | 1/9 [00:00<00:02,  3.33it/s, Loss=0.226]
+Epoch 681/1001:  11%|█         | 1/9 [00:00<00:02,  3.33it/s, Loss=0.233]
+Epoch 681/1001:  11%|█         | 1/9 [00:00<00:02,  3.33it/s, Loss=0.229]
+Epoch 681/1001:  11%|█         | 1/9 [00:00<00:02,  3.33it/s, Loss=0.235]
+Epoch 681/1001:  11%|█         | 1/9 [00:00<00:02,  3.33it/s, Loss=0.23] 
+Epoch 681/1001:  11%|█         | 1/9 [00:00<00:02,  3.33it/s, Loss=0.238]
+Epoch 681/1001: 100%|██████████| 9/9 [00:00<00:00, 19.78it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 682/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 682/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 682/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.231]
+Epoch 682/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.226]
+Epoch 682/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.231]
+Epoch 682/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.229]
+Epoch 682/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.234]
+Epoch 682/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.224]
+Epoch 682/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.231]
+Epoch 682/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.233]
+Epoch 682/1001:  11%|█         | 1/9 [00:00<00:02,  3.28it/s, Loss=0.232]
+Epoch 682/1001: 100%|██████████| 9/9 [00:00<00:00, 19.82it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 683/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 683/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 683/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.232]
+Epoch 683/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.229]
+Epoch 683/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.23] 
+Epoch 683/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.231]
+Epoch 683/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.233]
+Epoch 683/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.228]
+Epoch 683/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.232]
+Epoch 683/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.235]
+Epoch 683/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.49it/s, Loss=0.235]
+Epoch 683/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.49it/s, Loss=0.228]
+Epoch 683/1001: 100%|██████████| 9/9 [00:00<00:00, 18.64it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 684/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 684/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 684/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.233]
+Epoch 684/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.235]
+Epoch 684/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.232]
+Epoch 684/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.238]
+Epoch 684/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.23] 
+Epoch 684/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.231]
+Epoch 684/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.232]
+Epoch 684/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.229]
+Epoch 684/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.16it/s, Loss=0.229]
+Epoch 684/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.16it/s, Loss=0.236]
+Epoch 684/1001: 100%|██████████| 9/9 [00:00<00:00, 20.11it/s, Loss=0.236]
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+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 685/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 685/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 685/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.233]
+Epoch 685/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.234]
+Epoch 685/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.231]
+Epoch 685/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.231]
+Epoch 685/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.229]
+Epoch 685/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.235]
+Epoch 685/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.229]
+Epoch 685/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.229]
+Epoch 685/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.239]
+Epoch 685/1001: 100%|██████████| 9/9 [00:00<00:00, 19.62it/s, Loss=0.239]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 686/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 686/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 686/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.234]
+Epoch 686/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.232]
+Epoch 686/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.228]
+Epoch 686/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.226]
+Epoch 686/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.231]
+Epoch 686/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.234]
+Epoch 686/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.232]
+Epoch 686/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.237]
+Epoch 686/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.225]
+Epoch 686/1001: 100%|██████████| 9/9 [00:00<00:00, 21.59it/s, Loss=0.225]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 687/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 687/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 687/1001:  11%|█         | 1/9 [00:00<00:02,  2.96it/s, Loss=0.233]
+Epoch 687/1001:  11%|█         | 1/9 [00:00<00:02,  2.96it/s, Loss=0.236]
+Epoch 687/1001:  11%|█         | 1/9 [00:00<00:02,  2.96it/s, Loss=0.237]
+Epoch 687/1001:  11%|█         | 1/9 [00:00<00:02,  2.96it/s, Loss=0.227]
+Epoch 687/1001:  11%|█         | 1/9 [00:00<00:02,  2.96it/s, Loss=0.232]
+Epoch 687/1001:  11%|█         | 1/9 [00:00<00:02,  2.96it/s, Loss=0.228]
+Epoch 687/1001:  11%|█         | 1/9 [00:00<00:02,  2.96it/s, Loss=0.231]
+Epoch 687/1001:  11%|█         | 1/9 [00:00<00:02,  2.96it/s, Loss=0.23] 
+Epoch 687/1001:  11%|█         | 1/9 [00:00<00:02,  2.96it/s, Loss=0.234]
+Epoch 687/1001: 100%|██████████| 9/9 [00:00<00:00, 18.37it/s, Loss=0.234]
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+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 688/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 688/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 688/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.229]
+Epoch 688/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.229]
+Epoch 688/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.23] 
+Epoch 688/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.235]
+Epoch 688/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.231]
+Epoch 688/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.23] 
+Epoch 688/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.232]
+Epoch 688/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.231]
+Epoch 688/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.23] 
+Epoch 688/1001: 100%|██████████| 9/9 [00:00<00:00, 22.51it/s, Loss=0.23]
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+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 689/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 689/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 689/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.231]
+Epoch 689/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.228]
+Epoch 689/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.236]
+Epoch 689/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.232]
+Epoch 689/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.227]
+Epoch 689/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.234]
+Epoch 689/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.231]
+Epoch 689/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.228]
+Epoch 689/1001:  11%|█         | 1/9 [00:00<00:02,  3.51it/s, Loss=0.237]
+Epoch 689/1001: 100%|██████████| 9/9 [00:00<00:00, 19.97it/s, Loss=0.237]
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+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 690/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 690/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 690/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.229]
+Epoch 690/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.231]
+Epoch 690/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.231]
+Epoch 690/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.231]
+Epoch 690/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.23] 
+Epoch 690/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.232]
+Epoch 690/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.229]
+Epoch 690/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.232]
+Epoch 690/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.232]
+Epoch 690/1001: 100%|██████████| 9/9 [00:00<00:00, 20.92it/s, Loss=0.232]
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+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 691/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 691/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 691/1001:  11%|█         | 1/9 [00:00<00:02,  3.66it/s, Loss=0.229]
+Epoch 691/1001:  11%|█         | 1/9 [00:00<00:02,  3.66it/s, Loss=0.232]
+Epoch 691/1001:  11%|█         | 1/9 [00:00<00:02,  3.66it/s, Loss=0.228]
+Epoch 691/1001:  11%|█         | 1/9 [00:00<00:02,  3.66it/s, Loss=0.231]
+Epoch 691/1001:  11%|█         | 1/9 [00:00<00:02,  3.66it/s, Loss=0.231]
+Epoch 691/1001:  11%|█         | 1/9 [00:00<00:02,  3.66it/s, Loss=0.23] 
+Epoch 691/1001:  11%|█         | 1/9 [00:00<00:02,  3.66it/s, Loss=0.227]
+Epoch 691/1001:  11%|█         | 1/9 [00:00<00:02,  3.66it/s, Loss=0.23] 
+Epoch 691/1001:  11%|█         | 1/9 [00:00<00:02,  3.66it/s, Loss=0.227]
+Epoch 691/1001: 100%|██████████| 9/9 [00:00<00:00, 21.47it/s, Loss=0.227]
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+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 692/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 692/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 692/1001:  11%|█         | 1/9 [00:00<00:02,  3.64it/s, Loss=0.23]
+Epoch 692/1001:  11%|█         | 1/9 [00:00<00:02,  3.64it/s, Loss=0.237]
+Epoch 692/1001:  11%|█         | 1/9 [00:00<00:02,  3.64it/s, Loss=0.236]
+Epoch 692/1001:  11%|█         | 1/9 [00:00<00:02,  3.64it/s, Loss=0.229]
+Epoch 692/1001:  11%|█         | 1/9 [00:00<00:02,  3.64it/s, Loss=0.236]
+Epoch 692/1001:  11%|█         | 1/9 [00:00<00:02,  3.64it/s, Loss=0.231]
+Epoch 692/1001:  11%|█         | 1/9 [00:00<00:02,  3.64it/s, Loss=0.229]
+Epoch 692/1001:  11%|█         | 1/9 [00:00<00:02,  3.64it/s, Loss=0.227]
+Epoch 692/1001:  11%|█         | 1/9 [00:00<00:02,  3.64it/s, Loss=0.229]
+Epoch 692/1001: 100%|██████████| 9/9 [00:00<00:00, 19.74it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 693/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 693/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 693/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.229]
+Epoch 693/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.234]
+Epoch 693/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.231]
+Epoch 693/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.23] 
+Epoch 693/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.238]
+Epoch 693/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.223]
+Epoch 693/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.231]
+Epoch 693/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.236]
+Epoch 693/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.226]
+Epoch 693/1001: 100%|██████████| 9/9 [00:00<00:00, 21.86it/s, Loss=0.226]
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+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 694/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 694/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.227]
+Epoch 694/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.227]
+Epoch 694/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.234]
+Epoch 694/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.226]
+Epoch 694/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.233]
+Epoch 694/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.232]
+Epoch 694/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.232]
+Epoch 694/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.233]
+Epoch 694/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.235]
+Epoch 694/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.23] 
+Epoch 694/1001: 100%|██████████| 9/9 [00:00<00:00, 28.46it/s, Loss=0.23]
+Epoch 694/1001: 100%|██████████| 9/9 [00:00<00:00, 20.28it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 695/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 695/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 695/1001:  11%|█         | 1/9 [00:00<00:02,  3.17it/s, Loss=0.232]
+Epoch 695/1001:  11%|█         | 1/9 [00:00<00:02,  3.17it/s, Loss=0.233]
+Epoch 695/1001:  11%|█         | 1/9 [00:00<00:02,  3.17it/s, Loss=0.234]
+Epoch 695/1001:  11%|█         | 1/9 [00:00<00:02,  3.17it/s, Loss=0.228]
+Epoch 695/1001:  11%|█         | 1/9 [00:00<00:02,  3.17it/s, Loss=0.231]
+Epoch 695/1001:  11%|█         | 1/9 [00:00<00:02,  3.17it/s, Loss=0.228]
+Epoch 695/1001:  11%|█         | 1/9 [00:00<00:02,  3.17it/s, Loss=0.229]
+Epoch 695/1001:  78%|███████▊  | 7/9 [00:00<00:00, 20.64it/s, Loss=0.229]
+Epoch 695/1001:  78%|███████▊  | 7/9 [00:00<00:00, 20.64it/s, Loss=0.231]
+Epoch 695/1001:  78%|███████▊  | 7/9 [00:00<00:00, 20.64it/s, Loss=0.235]
+Epoch 695/1001: 100%|██████████| 9/9 [00:00<00:00, 17.63it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 696/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 696/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 696/1001:  11%|█         | 1/9 [00:00<00:01,  4.01it/s, Loss=0.231]
+Epoch 696/1001:  11%|█         | 1/9 [00:00<00:01,  4.01it/s, Loss=0.224]
+Epoch 696/1001:  11%|█         | 1/9 [00:00<00:01,  4.01it/s, Loss=0.227]
+Epoch 696/1001:  11%|█         | 1/9 [00:00<00:01,  4.01it/s, Loss=0.228]
+Epoch 696/1001:  11%|█         | 1/9 [00:00<00:01,  4.01it/s, Loss=0.237]
+Epoch 696/1001:  11%|█         | 1/9 [00:00<00:01,  4.01it/s, Loss=0.23] 
+Epoch 696/1001:  11%|█         | 1/9 [00:00<00:01,  4.01it/s, Loss=0.233]
+Epoch 696/1001:  11%|█         | 1/9 [00:00<00:01,  4.01it/s, Loss=0.233]
+Epoch 696/1001:  11%|█         | 1/9 [00:00<00:01,  4.01it/s, Loss=0.231]
+Epoch 696/1001: 100%|██████████| 9/9 [00:00<00:00, 30.44it/s, Loss=0.231]
+Epoch 696/1001: 100%|██████████| 9/9 [00:00<00:00, 21.84it/s, Loss=0.231]
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+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 697/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 697/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 697/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.234]
+Epoch 697/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.234]
+Epoch 697/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.231]
+Epoch 697/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.231]
+Epoch 697/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.231]
+Epoch 697/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.234]
+Epoch 697/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.227]
+Epoch 697/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.228]
+Epoch 697/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.229]
+Epoch 697/1001: 100%|██████████| 9/9 [00:00<00:00, 25.56it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 698/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 698/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 698/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.231]
+Epoch 698/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.228]
+Epoch 698/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.23] 
+Epoch 698/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.234]
+Epoch 698/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.227]
+Epoch 698/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.237]
+Epoch 698/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.235]
+Epoch 698/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.227]
+Epoch 698/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.235]
+Epoch 698/1001: 100%|██████████| 9/9 [00:00<00:00, 26.25it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
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+Epoch 699/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 699/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.233]
+Epoch 699/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.225]
+Epoch 699/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.238]
+Epoch 699/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.233]
+Epoch 699/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.23] 
+Epoch 699/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.236]
+Epoch 699/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.227]
+Epoch 699/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.228]
+Epoch 699/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.229]
+Epoch 699/1001: 100%|██████████| 9/9 [00:00<00:00, 23.86it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 700/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 700/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 700/1001:  11%|█         | 1/9 [00:00<00:01,  4.70it/s, Loss=0.23]
+Epoch 700/1001:  11%|█         | 1/9 [00:00<00:01,  4.70it/s, Loss=0.233]
+Epoch 700/1001:  11%|█         | 1/9 [00:00<00:01,  4.70it/s, Loss=0.23] 
+Epoch 700/1001:  11%|█         | 1/9 [00:00<00:01,  4.70it/s, Loss=0.234]
+Epoch 700/1001:  11%|█         | 1/9 [00:00<00:01,  4.70it/s, Loss=0.23] 
+Epoch 700/1001:  11%|█         | 1/9 [00:00<00:01,  4.70it/s, Loss=0.233]
+Epoch 700/1001:  11%|█         | 1/9 [00:00<00:01,  4.70it/s, Loss=0.233]
+Epoch 700/1001:  11%|█         | 1/9 [00:00<00:01,  4.70it/s, Loss=0.227]
+Epoch 700/1001:  89%|████████▉ | 8/9 [00:00<00:00, 29.91it/s, Loss=0.227]
+Epoch 700/1001:  89%|████████▉ | 8/9 [00:00<00:00, 29.91it/s, Loss=0.233]
+Epoch 700/1001: 100%|██████████| 9/9 [00:00<00:00, 23.88it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 701/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 701/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 701/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.229]
+Epoch 701/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.228]
+Epoch 701/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.231]
+Epoch 701/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.229]
+Epoch 701/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.233]
+Epoch 701/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.238]
+Epoch 701/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.23] 
+Epoch 701/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.231]
+Epoch 701/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.227]
+Epoch 701/1001: 100%|██████████| 9/9 [00:00<00:00, 23.62it/s, Loss=0.227]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 702/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 702/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 702/1001:  11%|█         | 1/9 [00:00<00:01,  4.27it/s, Loss=0.23]
+Epoch 702/1001:  11%|█         | 1/9 [00:00<00:01,  4.27it/s, Loss=0.228]
+Epoch 702/1001:  11%|█         | 1/9 [00:00<00:01,  4.27it/s, Loss=0.23] 
+Epoch 702/1001:  11%|█         | 1/9 [00:00<00:01,  4.27it/s, Loss=0.234]
+Epoch 702/1001:  11%|█         | 1/9 [00:00<00:01,  4.27it/s, Loss=0.23] 
+Epoch 702/1001:  11%|█         | 1/9 [00:00<00:01,  4.27it/s, Loss=0.238]
+Epoch 702/1001:  11%|█         | 1/9 [00:00<00:01,  4.27it/s, Loss=0.231]
+Epoch 702/1001:  11%|█         | 1/9 [00:00<00:01,  4.27it/s, Loss=0.229]
+Epoch 702/1001:  89%|████████▉ | 8/9 [00:00<00:00, 28.92it/s, Loss=0.229]
+Epoch 702/1001:  89%|████████▉ | 8/9 [00:00<00:00, 28.92it/s, Loss=0.229]
+Epoch 702/1001: 100%|██████████| 9/9 [00:00<00:00, 22.58it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 703/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 703/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 703/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.229]
+Epoch 703/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.227]
+Epoch 703/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.23] 
+Epoch 703/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.229]
+Epoch 703/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.234]
+Epoch 703/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.228]
+Epoch 703/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.233]
+Epoch 703/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.239]
+Epoch 703/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.238]
+Epoch 703/1001: 100%|██████████| 9/9 [00:00<00:00, 27.42it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 704/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 704/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.225]
+Epoch 704/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.225]
+Epoch 704/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.239]
+Epoch 704/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.229]
+Epoch 704/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.233]
+Epoch 704/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.233]
+Epoch 704/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.238]
+Epoch 704/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.226]
+Epoch 704/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.228]
+Epoch 704/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.231]
+Epoch 704/1001: 100%|██████████| 9/9 [00:00<00:00, 19.12it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 705/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 705/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 705/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.231]
+Epoch 705/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.235]
+Epoch 705/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.236]
+Epoch 705/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.233]
+Epoch 705/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.231]
+Epoch 705/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.228]
+Epoch 705/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.232]
+Epoch 705/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.234]
+Epoch 705/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.231]
+Epoch 705/1001: 100%|██████████| 9/9 [00:00<00:00, 22.21it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 706/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 706/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 706/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.233]
+Epoch 706/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.234]
+Epoch 706/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.23] 
+Epoch 706/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.232]
+Epoch 706/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.228]
+Epoch 706/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.233]
+Epoch 706/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.236]
+Epoch 706/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.235]
+Epoch 706/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.40it/s, Loss=0.235]
+Epoch 706/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.40it/s, Loss=0.234]
+Epoch 706/1001: 100%|██████████| 9/9 [00:00<00:00, 20.44it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 707/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 707/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 707/1001:  11%|█         | 1/9 [00:00<00:01,  4.10it/s, Loss=0.233]
+Epoch 707/1001:  11%|█         | 1/9 [00:00<00:01,  4.10it/s, Loss=0.232]
+Epoch 707/1001:  11%|█         | 1/9 [00:00<00:01,  4.10it/s, Loss=0.235]
+Epoch 707/1001:  11%|█         | 1/9 [00:00<00:01,  4.10it/s, Loss=0.233]
+Epoch 707/1001:  11%|█         | 1/9 [00:00<00:01,  4.10it/s, Loss=0.233]
+Epoch 707/1001:  11%|█         | 1/9 [00:00<00:01,  4.10it/s, Loss=0.239]
+Epoch 707/1001:  11%|█         | 1/9 [00:00<00:01,  4.10it/s, Loss=0.226]
+Epoch 707/1001:  11%|█         | 1/9 [00:00<00:01,  4.10it/s, Loss=0.229]
+Epoch 707/1001:  89%|████████▉ | 8/9 [00:00<00:00, 27.64it/s, Loss=0.229]
+Epoch 707/1001:  89%|████████▉ | 8/9 [00:00<00:00, 27.64it/s, Loss=0.227]
+Epoch 707/1001: 100%|██████████| 9/9 [00:00<00:00, 22.01it/s, Loss=0.227]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 708/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 708/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 708/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.231]
+Epoch 708/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.228]
+Epoch 708/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.232]
+Epoch 708/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.235]
+Epoch 708/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.234]
+Epoch 708/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.233]
+Epoch 708/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.23] 
+Epoch 708/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.23]
+Epoch 708/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.23]
+Epoch 708/1001: 100%|██████████| 9/9 [00:00<00:00, 22.47it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 709/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 709/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 709/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.235]
+Epoch 709/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.234]
+Epoch 709/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.228]
+Epoch 709/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.234]
+Epoch 709/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.228]
+Epoch 709/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.234]
+Epoch 709/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.233]
+Epoch 709/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.231]
+Epoch 709/1001:  11%|█         | 1/9 [00:00<00:01,  4.97it/s, Loss=0.225]
+Epoch 709/1001: 100%|██████████| 9/9 [00:00<00:00, 25.83it/s, Loss=0.225]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 710/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 710/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 710/1001:  11%|█         | 1/9 [00:00<00:01,  4.46it/s, Loss=0.234]
+Epoch 710/1001:  11%|█         | 1/9 [00:00<00:01,  4.46it/s, Loss=0.231]
+Epoch 710/1001:  11%|█         | 1/9 [00:00<00:01,  4.46it/s, Loss=0.236]
+Epoch 710/1001:  11%|█         | 1/9 [00:00<00:01,  4.46it/s, Loss=0.232]
+Epoch 710/1001:  11%|█         | 1/9 [00:00<00:01,  4.46it/s, Loss=0.233]
+Epoch 710/1001:  11%|█         | 1/9 [00:00<00:01,  4.46it/s, Loss=0.228]
+Epoch 710/1001:  11%|█         | 1/9 [00:00<00:01,  4.46it/s, Loss=0.231]
+Epoch 710/1001:  11%|█         | 1/9 [00:00<00:01,  4.46it/s, Loss=0.237]
+Epoch 710/1001:  89%|████████▉ | 8/9 [00:00<00:00, 28.23it/s, Loss=0.237]
+Epoch 710/1001:  89%|████████▉ | 8/9 [00:00<00:00, 28.23it/s, Loss=0.241]
+Epoch 710/1001: 100%|██████████| 9/9 [00:00<00:00, 19.70it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 711/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 711/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 711/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.235]
+Epoch 711/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.235]
+Epoch 711/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.228]
+Epoch 711/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.237]
+Epoch 711/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.231]
+Epoch 711/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.23] 
+Epoch 711/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.231]
+Epoch 711/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.234]
+Epoch 711/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.231]
+Epoch 711/1001: 100%|██████████| 9/9 [00:00<00:00, 21.90it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 712/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 712/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 712/1001:  11%|█         | 1/9 [00:00<00:01,  6.30it/s, Loss=0.233]
+Epoch 712/1001:  11%|█         | 1/9 [00:00<00:01,  6.30it/s, Loss=0.236]
+Epoch 712/1001:  11%|█         | 1/9 [00:00<00:01,  6.30it/s, Loss=0.232]
+Epoch 712/1001:  11%|█         | 1/9 [00:00<00:01,  6.30it/s, Loss=0.226]
+Epoch 712/1001:  11%|█         | 1/9 [00:00<00:01,  6.30it/s, Loss=0.226]
+Epoch 712/1001:  11%|█         | 1/9 [00:00<00:01,  6.30it/s, Loss=0.233]
+Epoch 712/1001:  11%|█         | 1/9 [00:00<00:01,  6.30it/s, Loss=0.235]
+Epoch 712/1001:  11%|█         | 1/9 [00:00<00:01,  6.30it/s, Loss=0.232]
+Epoch 712/1001:  11%|█         | 1/9 [00:00<00:01,  6.30it/s, Loss=0.232]
+Epoch 712/1001: 100%|██████████| 9/9 [00:00<00:00, 29.43it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 713/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 713/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 713/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.237]
+Epoch 713/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.232]
+Epoch 713/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.226]
+Epoch 713/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.227]
+Epoch 713/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.228]
+Epoch 713/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.236]
+Epoch 713/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.225]
+Epoch 713/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.231]
+Epoch 713/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.235]
+Epoch 713/1001: 100%|██████████| 9/9 [00:00<00:00, 20.68it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 714/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 714/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 714/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.23]
+Epoch 714/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.23]
+Epoch 714/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.234]
+Epoch 714/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.227]
+Epoch 714/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.243]
+Epoch 714/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.23] 
+Epoch 714/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.233]
+Epoch 714/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.229]
+Epoch 714/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.235]
+Epoch 714/1001: 100%|██████████| 9/9 [00:00<00:00, 25.81it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 715/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 715/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 715/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.231]
+Epoch 715/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.241]
+Epoch 715/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.229]
+Epoch 715/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.233]
+Epoch 715/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.23] 
+Epoch 715/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.23]
+Epoch 715/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.232]
+Epoch 715/1001:  11%|█         | 1/9 [00:00<00:01,  4.26it/s, Loss=0.232]
+Epoch 715/1001:  89%|████████▉ | 8/9 [00:00<00:00, 28.29it/s, Loss=0.232]
+Epoch 715/1001:  89%|████████▉ | 8/9 [00:00<00:00, 28.29it/s, Loss=0.23] 
+Epoch 715/1001: 100%|██████████| 9/9 [00:00<00:00, 22.12it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 716/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 716/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 716/1001:  11%|█         | 1/9 [00:00<00:02,  3.11it/s, Loss=0.23]
+Epoch 716/1001:  11%|█         | 1/9 [00:00<00:02,  3.11it/s, Loss=0.23]
+Epoch 716/1001:  11%|█         | 1/9 [00:00<00:02,  3.11it/s, Loss=0.234]
+Epoch 716/1001:  11%|█         | 1/9 [00:00<00:02,  3.11it/s, Loss=0.231]
+Epoch 716/1001:  11%|█         | 1/9 [00:00<00:02,  3.11it/s, Loss=0.234]
+Epoch 716/1001:  11%|█         | 1/9 [00:00<00:02,  3.11it/s, Loss=0.226]
+Epoch 716/1001:  11%|█         | 1/9 [00:00<00:02,  3.11it/s, Loss=0.228]
+Epoch 716/1001:  11%|█         | 1/9 [00:00<00:02,  3.11it/s, Loss=0.231]
+Epoch 716/1001:  11%|█         | 1/9 [00:00<00:02,  3.11it/s, Loss=0.232]
+Epoch 716/1001: 100%|██████████| 9/9 [00:00<00:00, 18.83it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 717/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 717/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 717/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.231]
+Epoch 717/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.233]
+Epoch 717/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.228]
+Epoch 717/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.236]
+Epoch 717/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.23] 
+Epoch 717/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.229]
+Epoch 717/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.229]
+Epoch 717/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.227]
+Epoch 717/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.23] 
+Epoch 717/1001: 100%|██████████| 9/9 [00:00<00:00, 23.08it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 718/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 718/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.224]
+Epoch 718/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.224]
+Epoch 718/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.231]
+Epoch 718/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.237]
+Epoch 718/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.23] 
+Epoch 718/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.227]
+Epoch 718/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.237]
+Epoch 718/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.235]
+Epoch 718/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.231]
+Epoch 718/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.231]
+Epoch 718/1001: 100%|██████████| 9/9 [00:00<00:00, 25.68it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 719/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 719/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 719/1001:  11%|█         | 1/9 [00:00<00:01,  4.08it/s, Loss=0.229]
+Epoch 719/1001:  11%|█         | 1/9 [00:00<00:01,  4.08it/s, Loss=0.226]
+Epoch 719/1001:  11%|█         | 1/9 [00:00<00:01,  4.08it/s, Loss=0.225]
+Epoch 719/1001:  11%|█         | 1/9 [00:00<00:01,  4.08it/s, Loss=0.235]
+Epoch 719/1001:  11%|█         | 1/9 [00:00<00:01,  4.08it/s, Loss=0.232]
+Epoch 719/1001:  11%|█         | 1/9 [00:00<00:01,  4.08it/s, Loss=0.237]
+Epoch 719/1001:  11%|█         | 1/9 [00:00<00:01,  4.08it/s, Loss=0.229]
+Epoch 719/1001:  11%|█         | 1/9 [00:00<00:01,  4.08it/s, Loss=0.23] 
+Epoch 719/1001:  11%|█         | 1/9 [00:00<00:01,  4.08it/s, Loss=0.228]
+Epoch 719/1001: 100%|██████████| 9/9 [00:00<00:00, 24.40it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 720/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 720/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 720/1001:  11%|█         | 1/9 [00:00<00:01,  4.41it/s, Loss=0.233]
+Epoch 720/1001:  11%|█         | 1/9 [00:00<00:01,  4.41it/s, Loss=0.227]
+Epoch 720/1001:  11%|█         | 1/9 [00:00<00:01,  4.41it/s, Loss=0.231]
+Epoch 720/1001:  11%|█         | 1/9 [00:00<00:01,  4.41it/s, Loss=0.232]
+Epoch 720/1001:  11%|█         | 1/9 [00:00<00:01,  4.41it/s, Loss=0.233]
+Epoch 720/1001:  11%|█         | 1/9 [00:00<00:01,  4.41it/s, Loss=0.233]
+Epoch 720/1001:  11%|█         | 1/9 [00:00<00:01,  4.41it/s, Loss=0.234]
+Epoch 720/1001:  11%|█         | 1/9 [00:00<00:01,  4.41it/s, Loss=0.232]
+Epoch 720/1001:  89%|████████▉ | 8/9 [00:00<00:00, 29.66it/s, Loss=0.232]
+Epoch 720/1001:  89%|████████▉ | 8/9 [00:00<00:00, 29.66it/s, Loss=0.23] 
+Epoch 720/1001: 100%|██████████| 9/9 [00:00<00:00, 23.68it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 721/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 721/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 721/1001:  11%|█         | 1/9 [00:00<00:01,  5.50it/s, Loss=0.233]
+Epoch 721/1001:  11%|█         | 1/9 [00:00<00:01,  5.50it/s, Loss=0.23] 
+Epoch 721/1001:  11%|█         | 1/9 [00:00<00:01,  5.50it/s, Loss=0.232]
+Epoch 721/1001:  11%|█         | 1/9 [00:00<00:01,  5.50it/s, Loss=0.235]
+Epoch 721/1001:  11%|█         | 1/9 [00:00<00:01,  5.50it/s, Loss=0.226]
+Epoch 721/1001:  11%|█         | 1/9 [00:00<00:01,  5.50it/s, Loss=0.231]
+Epoch 721/1001:  11%|█         | 1/9 [00:00<00:01,  5.50it/s, Loss=0.226]
+Epoch 721/1001:  11%|█         | 1/9 [00:00<00:01,  5.50it/s, Loss=0.234]
+Epoch 721/1001:  11%|█         | 1/9 [00:00<00:01,  5.50it/s, Loss=0.227]
+Epoch 721/1001: 100%|██████████| 9/9 [00:00<00:00, 28.08it/s, Loss=0.227]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 722/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 722/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 722/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.236]
+Epoch 722/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.233]
+Epoch 722/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.23] 
+Epoch 722/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.234]
+Epoch 722/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.231]
+Epoch 722/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.233]
+Epoch 722/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.23] 
+Epoch 722/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.23]
+Epoch 722/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.231]
+Epoch 722/1001: 100%|██████████| 9/9 [00:00<00:00, 20.04it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 723/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 723/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 723/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.234]
+Epoch 723/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.225]
+Epoch 723/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.234]
+Epoch 723/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.235]
+Epoch 723/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.234]
+Epoch 723/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.224]
+Epoch 723/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.232]
+Epoch 723/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.231]
+Epoch 723/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.23] 
+Epoch 723/1001: 100%|██████████| 9/9 [00:00<00:00, 22.92it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 724/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 724/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 724/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.231]
+Epoch 724/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.23] 
+Epoch 724/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.237]
+Epoch 724/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.234]
+Epoch 724/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.228]
+Epoch 724/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.236]
+Epoch 724/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.236]
+Epoch 724/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.23] 
+Epoch 724/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.232]
+Epoch 724/1001: 100%|██████████| 9/9 [00:00<00:00, 21.81it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 725/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 725/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 725/1001:  11%|█         | 1/9 [00:00<00:01,  5.20it/s, Loss=0.23]
+Epoch 725/1001:  11%|█         | 1/9 [00:00<00:01,  5.20it/s, Loss=0.232]
+Epoch 725/1001:  11%|█         | 1/9 [00:00<00:01,  5.20it/s, Loss=0.227]
+Epoch 725/1001:  11%|█         | 1/9 [00:00<00:01,  5.20it/s, Loss=0.237]
+Epoch 725/1001:  11%|█         | 1/9 [00:00<00:01,  5.20it/s, Loss=0.229]
+Epoch 725/1001:  11%|█         | 1/9 [00:00<00:01,  5.20it/s, Loss=0.23] 
+Epoch 725/1001:  11%|█         | 1/9 [00:00<00:01,  5.20it/s, Loss=0.238]
+Epoch 725/1001:  11%|█         | 1/9 [00:00<00:01,  5.20it/s, Loss=0.225]
+Epoch 725/1001:  89%|████████▉ | 8/9 [00:00<00:00, 32.42it/s, Loss=0.225]
+Epoch 725/1001:  89%|████████▉ | 8/9 [00:00<00:00, 32.42it/s, Loss=0.234]
+Epoch 725/1001: 100%|██████████| 9/9 [00:00<00:00, 24.24it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 726/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 726/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 726/1001:  11%|█         | 1/9 [00:00<00:01,  4.32it/s, Loss=0.229]
+Epoch 726/1001:  11%|█         | 1/9 [00:00<00:01,  4.32it/s, Loss=0.225]
+Epoch 726/1001:  11%|█         | 1/9 [00:00<00:01,  4.32it/s, Loss=0.234]
+Epoch 726/1001:  11%|█         | 1/9 [00:00<00:01,  4.32it/s, Loss=0.229]
+Epoch 726/1001:  11%|█         | 1/9 [00:00<00:01,  4.32it/s, Loss=0.233]
+Epoch 726/1001:  11%|█         | 1/9 [00:00<00:01,  4.32it/s, Loss=0.226]
+Epoch 726/1001:  11%|█         | 1/9 [00:00<00:01,  4.32it/s, Loss=0.236]
+Epoch 726/1001:  11%|█         | 1/9 [00:00<00:01,  4.32it/s, Loss=0.228]
+Epoch 726/1001:  11%|█         | 1/9 [00:00<00:01,  4.32it/s, Loss=0.226]
+Epoch 726/1001: 100%|██████████| 9/9 [00:00<00:00, 24.44it/s, Loss=0.226]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 727/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 727/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 727/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.231]
+Epoch 727/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.235]
+Epoch 727/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.234]
+Epoch 727/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.23] 
+Epoch 727/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.233]
+Epoch 727/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.235]
+Epoch 727/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.234]
+Epoch 727/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.233]
+Epoch 727/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.232]
+Epoch 727/1001: 100%|██████████| 9/9 [00:00<00:00, 27.50it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 728/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 728/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.226]
+Epoch 728/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.226]
+Epoch 728/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.231]
+Epoch 728/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.231]
+Epoch 728/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.233]
+Epoch 728/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.228]
+Epoch 728/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.232]
+Epoch 728/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.232]
+Epoch 728/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.234]
+Epoch 728/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.232]
+Epoch 728/1001: 100%|██████████| 9/9 [00:00<00:00, 22.47it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 729/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 729/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 729/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.234]
+Epoch 729/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.232]
+Epoch 729/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.233]
+Epoch 729/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.232]
+Epoch 729/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.23] 
+Epoch 729/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.228]
+Epoch 729/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.229]
+Epoch 729/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.235]
+Epoch 729/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.238]
+Epoch 729/1001: 100%|██████████| 9/9 [00:00<00:00, 22.46it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 730/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 730/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 730/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.231]
+Epoch 730/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.23] 
+Epoch 730/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.231]
+Epoch 730/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.232]
+Epoch 730/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.232]
+Epoch 730/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.23] 
+Epoch 730/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.233]
+Epoch 730/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.223]
+Epoch 730/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.233]
+Epoch 730/1001: 100%|██████████| 9/9 [00:00<00:00, 31.06it/s, Loss=0.233]
+Epoch 730/1001: 100%|██████████| 9/9 [00:00<00:00, 22.11it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 731/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 731/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 731/1001:  11%|█         | 1/9 [00:00<00:02,  3.24it/s, Loss=0.238]
+Epoch 731/1001:  11%|█         | 1/9 [00:00<00:02,  3.24it/s, Loss=0.231]
+Epoch 731/1001:  11%|█         | 1/9 [00:00<00:02,  3.24it/s, Loss=0.232]
+Epoch 731/1001:  11%|█         | 1/9 [00:00<00:02,  3.24it/s, Loss=0.233]
+Epoch 731/1001:  11%|█         | 1/9 [00:00<00:02,  3.24it/s, Loss=0.233]
+Epoch 731/1001:  11%|█         | 1/9 [00:00<00:02,  3.24it/s, Loss=0.232]
+Epoch 731/1001:  11%|█         | 1/9 [00:00<00:02,  3.24it/s, Loss=0.234]
+Epoch 731/1001:  11%|█         | 1/9 [00:00<00:02,  3.24it/s, Loss=0.232]
+Epoch 731/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.14it/s, Loss=0.232]
+Epoch 731/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.14it/s, Loss=0.228]
+Epoch 731/1001: 100%|██████████| 9/9 [00:00<00:00, 17.75it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 732/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 732/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 732/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.233]
+Epoch 732/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.23] 
+Epoch 732/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.228]
+Epoch 732/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.229]
+Epoch 732/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.233]
+Epoch 732/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.233]
+Epoch 732/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.231]
+Epoch 732/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.232]
+Epoch 732/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.227]
+Epoch 732/1001: 100%|██████████| 9/9 [00:00<00:00, 23.51it/s, Loss=0.227]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 733/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 733/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 733/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.236]
+Epoch 733/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.229]
+Epoch 733/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.227]
+Epoch 733/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.234]
+Epoch 733/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.229]
+Epoch 733/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.231]
+Epoch 733/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.239]
+Epoch 733/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.23] 
+Epoch 733/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.225]
+Epoch 733/1001: 100%|██████████| 9/9 [00:00<00:00, 19.94it/s, Loss=0.225]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 734/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 734/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 734/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.234]
+Epoch 734/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.237]
+Epoch 734/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.233]
+Epoch 734/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.231]
+Epoch 734/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.233]
+Epoch 734/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.233]
+Epoch 734/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.226]
+Epoch 734/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.232]
+Epoch 734/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.231]
+Epoch 734/1001: 100%|██████████| 9/9 [00:00<00:00, 20.29it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 735/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 735/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 735/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.232]
+Epoch 735/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.236]
+Epoch 735/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.231]
+Epoch 735/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.234]
+Epoch 735/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.234]
+Epoch 735/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.236]
+Epoch 735/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.227]
+Epoch 735/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.236]
+Epoch 735/1001:  11%|█         | 1/9 [00:00<00:02,  3.12it/s, Loss=0.229]
+Epoch 735/1001: 100%|██████████| 9/9 [00:00<00:00, 18.70it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 736/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 736/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 736/1001:  11%|█         | 1/9 [00:00<00:03,  2.66it/s, Loss=0.228]
+Epoch 736/1001:  11%|█         | 1/9 [00:00<00:03,  2.66it/s, Loss=0.225]
+Epoch 736/1001:  11%|█         | 1/9 [00:00<00:03,  2.66it/s, Loss=0.236]
+Epoch 736/1001:  11%|█         | 1/9 [00:00<00:03,  2.66it/s, Loss=0.23] 
+Epoch 736/1001:  11%|█         | 1/9 [00:00<00:03,  2.66it/s, Loss=0.231]
+Epoch 736/1001:  11%|█         | 1/9 [00:00<00:03,  2.66it/s, Loss=0.228]
+Epoch 736/1001:  11%|█         | 1/9 [00:00<00:03,  2.66it/s, Loss=0.231]
+Epoch 736/1001:  11%|█         | 1/9 [00:00<00:03,  2.66it/s, Loss=0.229]
+Epoch 736/1001:  11%|█         | 1/9 [00:00<00:03,  2.66it/s, Loss=0.23] 
+Epoch 736/1001: 100%|██████████| 9/9 [00:00<00:00, 17.60it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 737/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 737/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 737/1001:  11%|█         | 1/9 [00:00<00:02,  2.99it/s, Loss=0.231]
+Epoch 737/1001:  11%|█         | 1/9 [00:00<00:02,  2.99it/s, Loss=0.234]
+Epoch 737/1001:  11%|█         | 1/9 [00:00<00:02,  2.99it/s, Loss=0.233]
+Epoch 737/1001:  11%|█         | 1/9 [00:00<00:02,  2.99it/s, Loss=0.232]
+Epoch 737/1001:  11%|█         | 1/9 [00:00<00:02,  2.99it/s, Loss=0.23] 
+Epoch 737/1001:  11%|█         | 1/9 [00:00<00:02,  2.99it/s, Loss=0.231]
+Epoch 737/1001:  11%|█         | 1/9 [00:00<00:02,  2.99it/s, Loss=0.24] 
+Epoch 737/1001:  11%|█         | 1/9 [00:00<00:02,  2.99it/s, Loss=0.229]
+Epoch 737/1001:  11%|█         | 1/9 [00:00<00:02,  2.99it/s, Loss=0.221]
+Epoch 737/1001: 100%|██████████| 9/9 [00:00<00:00, 18.57it/s, Loss=0.221]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 738/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 738/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 738/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.236]
+Epoch 738/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.233]
+Epoch 738/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.227]
+Epoch 738/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.233]
+Epoch 738/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.231]
+Epoch 738/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.227]
+Epoch 738/1001:  11%|█         | 1/9 [00:00<00:02,  3.54it/s, Loss=0.23] 
+Epoch 738/1001:  78%|███████▊  | 7/9 [00:00<00:00, 21.99it/s, Loss=0.23]
+Epoch 738/1001:  78%|███████▊  | 7/9 [00:00<00:00, 21.99it/s, Loss=0.232]
+Epoch 738/1001:  78%|███████▊  | 7/9 [00:00<00:00, 21.99it/s, Loss=0.234]
+Epoch 738/1001: 100%|██████████| 9/9 [00:00<00:00, 19.45it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 739/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 739/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 739/1001:  11%|█         | 1/9 [00:00<00:02,  3.07it/s, Loss=0.231]
+Epoch 739/1001:  11%|█         | 1/9 [00:00<00:02,  3.07it/s, Loss=0.23] 
+Epoch 739/1001:  11%|█         | 1/9 [00:00<00:02,  3.07it/s, Loss=0.233]
+Epoch 739/1001:  11%|█         | 1/9 [00:00<00:02,  3.07it/s, Loss=0.23] 
+Epoch 739/1001:  11%|█         | 1/9 [00:00<00:02,  3.07it/s, Loss=0.224]
+Epoch 739/1001:  11%|█         | 1/9 [00:00<00:02,  3.07it/s, Loss=0.228]
+Epoch 739/1001:  11%|█         | 1/9 [00:00<00:02,  3.07it/s, Loss=0.232]
+Epoch 739/1001:  11%|█         | 1/9 [00:00<00:02,  3.07it/s, Loss=0.234]
+Epoch 739/1001:  11%|█         | 1/9 [00:00<00:02,  3.07it/s, Loss=0.223]
+Epoch 739/1001: 100%|██████████| 9/9 [00:00<00:00, 25.96it/s, Loss=0.223]
+Epoch 739/1001: 100%|██████████| 9/9 [00:00<00:00, 16.60it/s, Loss=0.223]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 740/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 740/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 740/1001:  11%|█         | 1/9 [00:00<00:02,  3.70it/s, Loss=0.228]
+Epoch 740/1001:  11%|█         | 1/9 [00:00<00:02,  3.70it/s, Loss=0.23] 
+Epoch 740/1001:  11%|█         | 1/9 [00:00<00:02,  3.70it/s, Loss=0.23]
+Epoch 740/1001:  11%|█         | 1/9 [00:00<00:02,  3.70it/s, Loss=0.233]
+Epoch 740/1001:  11%|█         | 1/9 [00:00<00:02,  3.70it/s, Loss=0.237]
+Epoch 740/1001:  11%|█         | 1/9 [00:00<00:02,  3.70it/s, Loss=0.23] 
+Epoch 740/1001:  11%|█         | 1/9 [00:00<00:02,  3.70it/s, Loss=0.235]
+Epoch 740/1001:  11%|█         | 1/9 [00:00<00:02,  3.70it/s, Loss=0.23] 
+Epoch 740/1001:  11%|█         | 1/9 [00:00<00:02,  3.70it/s, Loss=0.229]
+Epoch 740/1001: 100%|██████████| 9/9 [00:00<00:00, 21.64it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 741/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 741/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 741/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.231]
+Epoch 741/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.225]
+Epoch 741/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.231]
+Epoch 741/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.231]
+Epoch 741/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.231]
+Epoch 741/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.229]
+Epoch 741/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.229]
+Epoch 741/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.231]
+Epoch 741/1001:  11%|█         | 1/9 [00:00<00:01,  4.11it/s, Loss=0.235]
+Epoch 741/1001: 100%|██████████| 9/9 [00:00<00:00, 31.23it/s, Loss=0.235]
+Epoch 741/1001: 100%|██████████| 9/9 [00:00<00:00, 21.36it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 742/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 742/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 742/1001:  11%|█         | 1/9 [00:00<00:02,  3.52it/s, Loss=0.23]
+Epoch 742/1001:  11%|█         | 1/9 [00:00<00:02,  3.52it/s, Loss=0.231]
+Epoch 742/1001:  11%|█         | 1/9 [00:00<00:02,  3.52it/s, Loss=0.231]
+Epoch 742/1001:  11%|█         | 1/9 [00:00<00:02,  3.52it/s, Loss=0.232]
+Epoch 742/1001:  11%|█         | 1/9 [00:00<00:02,  3.52it/s, Loss=0.23] 
+Epoch 742/1001:  11%|█         | 1/9 [00:00<00:02,  3.52it/s, Loss=0.234]
+Epoch 742/1001:  11%|█         | 1/9 [00:00<00:02,  3.52it/s, Loss=0.225]
+Epoch 742/1001:  11%|█         | 1/9 [00:00<00:02,  3.52it/s, Loss=0.233]
+Epoch 742/1001:  89%|████████▉ | 8/9 [00:00<00:00, 25.00it/s, Loss=0.233]
+Epoch 742/1001:  89%|████████▉ | 8/9 [00:00<00:00, 25.00it/s, Loss=0.235]
+Epoch 742/1001: 100%|██████████| 9/9 [00:00<00:00, 19.40it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 743/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 743/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 743/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.233]
+Epoch 743/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.231]
+Epoch 743/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.232]
+Epoch 743/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.226]
+Epoch 743/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.229]
+Epoch 743/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.234]
+Epoch 743/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.234]
+Epoch 743/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.23] 
+Epoch 743/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.233]
+Epoch 743/1001: 100%|██████████| 9/9 [00:00<00:00, 28.84it/s, Loss=0.233]
+Epoch 743/1001: 100%|██████████| 9/9 [00:00<00:00, 20.38it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 744/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 744/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 744/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.234]
+Epoch 744/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.232]
+Epoch 744/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.234]
+Epoch 744/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.236]
+Epoch 744/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.234]
+Epoch 744/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.228]
+Epoch 744/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.233]
+Epoch 744/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.233]
+Epoch 744/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.225]
+Epoch 744/1001: 100%|██████████| 9/9 [00:00<00:00, 21.78it/s, Loss=0.225]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 745/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 745/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 745/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.234]
+Epoch 745/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.229]
+Epoch 745/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.234]
+Epoch 745/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.235]
+Epoch 745/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.229]
+Epoch 745/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.228]
+Epoch 745/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.233]
+Epoch 745/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.228]
+Epoch 745/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.23] 
+Epoch 745/1001: 100%|██████████| 9/9 [00:00<00:00, 20.40it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 746/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 746/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 746/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.236]
+Epoch 746/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.229]
+Epoch 746/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.229]
+Epoch 746/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.231]
+Epoch 746/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.232]
+Epoch 746/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.227]
+Epoch 746/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.238]
+Epoch 746/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.234]
+Epoch 746/1001:  11%|█         | 1/9 [00:00<00:02,  3.81it/s, Loss=0.226]
+Epoch 746/1001: 100%|██████████| 9/9 [00:00<00:00, 22.76it/s, Loss=0.226]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 747/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 747/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 747/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.237]
+Epoch 747/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.234]
+Epoch 747/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.224]
+Epoch 747/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.226]
+Epoch 747/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.234]
+Epoch 747/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.224]
+Epoch 747/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.23] 
+Epoch 747/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.235]
+Epoch 747/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.237]
+Epoch 747/1001: 100%|██████████| 9/9 [00:00<00:00, 24.32it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 748/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 748/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 748/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.234]
+Epoch 748/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.226]
+Epoch 748/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.231]
+Epoch 748/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.236]
+Epoch 748/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.235]
+Epoch 748/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.231]
+Epoch 748/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.228]
+Epoch 748/1001:  78%|███████▊  | 7/9 [00:00<00:00, 26.40it/s, Loss=0.228]
+Epoch 748/1001:  78%|███████▊  | 7/9 [00:00<00:00, 26.40it/s, Loss=0.227]
+Epoch 748/1001:  78%|███████▊  | 7/9 [00:00<00:00, 26.40it/s, Loss=0.228]
+Epoch 748/1001: 100%|██████████| 9/9 [00:00<00:00, 22.92it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 749/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 749/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 749/1001:  11%|█         | 1/9 [00:00<00:01,  4.08it/s, Loss=0.23]
+Epoch 749/1001:  11%|█         | 1/9 [00:00<00:01,  4.08it/s, Loss=0.235]
+Epoch 749/1001:  11%|█         | 1/9 [00:00<00:01,  4.08it/s, Loss=0.234]
+Epoch 749/1001:  11%|█         | 1/9 [00:00<00:01,  4.08it/s, Loss=0.233]
+Epoch 749/1001:  11%|█         | 1/9 [00:00<00:01,  4.08it/s, Loss=0.231]
+Epoch 749/1001:  11%|█         | 1/9 [00:00<00:01,  4.08it/s, Loss=0.233]
+Epoch 749/1001:  11%|█         | 1/9 [00:00<00:01,  4.08it/s, Loss=0.227]
+Epoch 749/1001:  11%|█         | 1/9 [00:00<00:01,  4.08it/s, Loss=0.232]
+Epoch 749/1001:  11%|█         | 1/9 [00:00<00:01,  4.08it/s, Loss=0.227]
+Epoch 749/1001: 100%|██████████| 9/9 [00:00<00:00, 31.05it/s, Loss=0.227]
+Epoch 749/1001: 100%|██████████| 9/9 [00:00<00:00, 22.79it/s, Loss=0.227]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 750/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 750/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 750/1001:  11%|█         | 1/9 [00:00<00:01,  5.08it/s, Loss=0.233]
+Epoch 750/1001:  11%|█         | 1/9 [00:00<00:01,  5.08it/s, Loss=0.232]
+Epoch 750/1001:  11%|█         | 1/9 [00:00<00:01,  5.08it/s, Loss=0.229]
+Epoch 750/1001:  11%|█         | 1/9 [00:00<00:01,  5.08it/s, Loss=0.225]
+Epoch 750/1001:  11%|█         | 1/9 [00:00<00:01,  5.08it/s, Loss=0.235]
+Epoch 750/1001:  11%|█         | 1/9 [00:00<00:01,  5.08it/s, Loss=0.229]
+Epoch 750/1001:  11%|█         | 1/9 [00:00<00:01,  5.08it/s, Loss=0.225]
+Epoch 750/1001:  11%|█         | 1/9 [00:00<00:01,  5.08it/s, Loss=0.233]
+Epoch 750/1001:  11%|█         | 1/9 [00:00<00:01,  5.08it/s, Loss=0.223]
+Epoch 750/1001: 100%|██████████| 9/9 [00:00<00:00, 28.14it/s, Loss=0.223]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 751/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 751/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 751/1001:  11%|█         | 1/9 [00:00<00:01,  7.10it/s, Loss=0.228]
+Epoch 751/1001:  11%|█         | 1/9 [00:00<00:01,  7.10it/s, Loss=0.234]
+Epoch 751/1001:  11%|█         | 1/9 [00:00<00:01,  7.10it/s, Loss=0.231]
+Epoch 751/1001:  11%|█         | 1/9 [00:00<00:01,  7.10it/s, Loss=0.239]
+Epoch 751/1001:  11%|█         | 1/9 [00:00<00:01,  7.10it/s, Loss=0.232]
+Epoch 751/1001:  11%|█         | 1/9 [00:00<00:01,  7.10it/s, Loss=0.233]
+Epoch 751/1001:  11%|█         | 1/9 [00:00<00:01,  7.10it/s, Loss=0.232]
+Epoch 751/1001:  11%|█         | 1/9 [00:00<00:01,  7.10it/s, Loss=0.23] 
+Epoch 751/1001:  11%|█         | 1/9 [00:00<00:01,  7.10it/s, Loss=0.232]
+Epoch 751/1001: 100%|██████████| 9/9 [00:00<00:00, 30.49it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 752/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 752/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.222]
+Epoch 752/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.222]
+Epoch 752/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.223]
+Epoch 752/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.237]
+Epoch 752/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.225]
+Epoch 752/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.232]
+Epoch 752/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.24] 
+Epoch 752/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.236]
+Epoch 752/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.227]
+Epoch 752/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.239]
+Epoch 752/1001: 100%|██████████| 9/9 [00:00<00:00, 24.09it/s, Loss=0.239]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 753/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 753/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 753/1001:  11%|█         | 1/9 [00:00<00:01,  5.48it/s, Loss=0.23]
+Epoch 753/1001:  11%|█         | 1/9 [00:00<00:01,  5.48it/s, Loss=0.228]
+Epoch 753/1001:  11%|█         | 1/9 [00:00<00:01,  5.48it/s, Loss=0.228]
+Epoch 753/1001:  11%|█         | 1/9 [00:00<00:01,  5.48it/s, Loss=0.225]
+Epoch 753/1001:  11%|█         | 1/9 [00:00<00:01,  5.48it/s, Loss=0.233]
+Epoch 753/1001:  11%|█         | 1/9 [00:00<00:01,  5.48it/s, Loss=0.234]
+Epoch 753/1001:  11%|█         | 1/9 [00:00<00:01,  5.48it/s, Loss=0.233]
+Epoch 753/1001:  11%|█         | 1/9 [00:00<00:01,  5.48it/s, Loss=0.228]
+Epoch 753/1001:  89%|████████▉ | 8/9 [00:00<00:00, 32.09it/s, Loss=0.228]
+Epoch 753/1001:  89%|████████▉ | 8/9 [00:00<00:00, 32.09it/s, Loss=0.231]
+Epoch 753/1001: 100%|██████████| 9/9 [00:00<00:00, 23.94it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 754/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 754/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 754/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.233]
+Epoch 754/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.233]
+Epoch 754/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.232]
+Epoch 754/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.231]
+Epoch 754/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.229]
+Epoch 754/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.228]
+Epoch 754/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.236]
+Epoch 754/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.228]
+Epoch 754/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.231]
+Epoch 754/1001: 100%|██████████| 9/9 [00:00<00:00, 26.86it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 755/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 755/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.225]
+Epoch 755/1001:  11%|█         | 1/9 [00:00<00:01,  7.72it/s, Loss=0.225]
+Epoch 755/1001:  11%|█         | 1/9 [00:00<00:01,  7.72it/s, Loss=0.234]
+Epoch 755/1001:  11%|█         | 1/9 [00:00<00:01,  7.72it/s, Loss=0.236]
+Epoch 755/1001:  11%|█         | 1/9 [00:00<00:01,  7.72it/s, Loss=0.239]
+Epoch 755/1001:  11%|█         | 1/9 [00:00<00:01,  7.72it/s, Loss=0.235]
+Epoch 755/1001:  11%|█         | 1/9 [00:00<00:01,  7.72it/s, Loss=0.233]
+Epoch 755/1001:  11%|█         | 1/9 [00:00<00:01,  7.72it/s, Loss=0.232]
+Epoch 755/1001:  11%|█         | 1/9 [00:00<00:01,  7.72it/s, Loss=0.239]
+Epoch 755/1001:  11%|█         | 1/9 [00:00<00:01,  7.72it/s, Loss=0.228]
+Epoch 755/1001: 100%|██████████| 9/9 [00:00<00:00, 32.48it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 756/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 756/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 756/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.233]
+Epoch 756/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.225]
+Epoch 756/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.237]
+Epoch 756/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.235]
+Epoch 756/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.231]
+Epoch 756/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.233]
+Epoch 756/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.232]
+Epoch 756/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.231]
+Epoch 756/1001:  89%|████████▉ | 8/9 [00:00<00:00, 27.20it/s, Loss=0.231]
+Epoch 756/1001:  89%|████████▉ | 8/9 [00:00<00:00, 27.20it/s, Loss=0.235]
+Epoch 756/1001: 100%|██████████| 9/9 [00:00<00:00, 21.72it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 757/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 757/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 757/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.23]
+Epoch 757/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.231]
+Epoch 757/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.228]
+Epoch 757/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.223]
+Epoch 757/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.23] 
+Epoch 757/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.231]
+Epoch 757/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.232]
+Epoch 757/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.23] 
+Epoch 757/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.231]
+Epoch 757/1001: 100%|██████████| 9/9 [00:00<00:00, 24.39it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 758/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 758/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 758/1001:  11%|█         | 1/9 [00:00<00:01,  4.79it/s, Loss=0.232]
+Epoch 758/1001:  11%|█         | 1/9 [00:00<00:01,  4.79it/s, Loss=0.229]
+Epoch 758/1001:  11%|█         | 1/9 [00:00<00:01,  4.79it/s, Loss=0.231]
+Epoch 758/1001:  11%|█         | 1/9 [00:00<00:01,  4.79it/s, Loss=0.226]
+Epoch 758/1001:  11%|█         | 1/9 [00:00<00:01,  4.79it/s, Loss=0.232]
+Epoch 758/1001:  11%|█         | 1/9 [00:00<00:01,  4.79it/s, Loss=0.232]
+Epoch 758/1001:  11%|█         | 1/9 [00:00<00:01,  4.79it/s, Loss=0.229]
+Epoch 758/1001:  11%|█         | 1/9 [00:00<00:01,  4.79it/s, Loss=0.231]
+Epoch 758/1001:  11%|█         | 1/9 [00:00<00:01,  4.79it/s, Loss=0.223]
+Epoch 758/1001: 100%|██████████| 9/9 [00:00<00:00, 27.36it/s, Loss=0.223]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 759/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 759/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 759/1001:  11%|█         | 1/9 [00:00<00:01,  4.52it/s, Loss=0.229]
+Epoch 759/1001:  11%|█         | 1/9 [00:00<00:01,  4.52it/s, Loss=0.226]
+Epoch 759/1001:  11%|█         | 1/9 [00:00<00:01,  4.52it/s, Loss=0.233]
+Epoch 759/1001:  11%|█         | 1/9 [00:00<00:01,  4.52it/s, Loss=0.232]
+Epoch 759/1001:  11%|█         | 1/9 [00:00<00:01,  4.52it/s, Loss=0.231]
+Epoch 759/1001:  11%|█         | 1/9 [00:00<00:01,  4.52it/s, Loss=0.239]
+Epoch 759/1001:  11%|█         | 1/9 [00:00<00:01,  4.52it/s, Loss=0.228]
+Epoch 759/1001:  11%|█         | 1/9 [00:00<00:01,  4.52it/s, Loss=0.23] 
+Epoch 759/1001:  11%|█         | 1/9 [00:00<00:01,  4.52it/s, Loss=0.229]
+Epoch 759/1001: 100%|██████████| 9/9 [00:00<00:00, 26.22it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 760/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 760/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.226]
+Epoch 760/1001:  11%|█         | 1/9 [00:00<00:01,  6.15it/s, Loss=0.226]
+Epoch 760/1001:  11%|█         | 1/9 [00:00<00:01,  6.15it/s, Loss=0.231]
+Epoch 760/1001:  11%|█         | 1/9 [00:00<00:01,  6.15it/s, Loss=0.231]
+Epoch 760/1001:  11%|█         | 1/9 [00:00<00:01,  6.15it/s, Loss=0.223]
+Epoch 760/1001:  11%|█         | 1/9 [00:00<00:01,  6.15it/s, Loss=0.235]
+Epoch 760/1001:  11%|█         | 1/9 [00:00<00:01,  6.15it/s, Loss=0.23] 
+Epoch 760/1001:  11%|█         | 1/9 [00:00<00:01,  6.15it/s, Loss=0.232]
+Epoch 760/1001:  11%|█         | 1/9 [00:00<00:01,  6.15it/s, Loss=0.233]
+Epoch 760/1001:  11%|█         | 1/9 [00:00<00:01,  6.15it/s, Loss=0.224]
+Epoch 760/1001: 100%|██████████| 9/9 [00:00<00:00, 28.18it/s, Loss=0.224]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 761/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 761/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.223]
+Epoch 761/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.223]
+Epoch 761/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.23] 
+Epoch 761/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.229]
+Epoch 761/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.231]
+Epoch 761/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.228]
+Epoch 761/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.231]
+Epoch 761/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.226]
+Epoch 761/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.227]
+Epoch 761/1001:  11%|█         | 1/9 [00:00<00:02,  3.36it/s, Loss=0.226]
+Epoch 761/1001: 100%|██████████| 9/9 [00:00<00:00, 20.29it/s, Loss=0.226]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 762/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 762/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 762/1001:  11%|█         | 1/9 [00:00<00:01,  4.56it/s, Loss=0.233]
+Epoch 762/1001:  11%|█         | 1/9 [00:00<00:01,  4.56it/s, Loss=0.233]
+Epoch 762/1001:  11%|█         | 1/9 [00:00<00:01,  4.56it/s, Loss=0.231]
+Epoch 762/1001:  11%|█         | 1/9 [00:00<00:01,  4.56it/s, Loss=0.232]
+Epoch 762/1001:  11%|█         | 1/9 [00:00<00:01,  4.56it/s, Loss=0.231]
+Epoch 762/1001:  11%|█         | 1/9 [00:00<00:01,  4.56it/s, Loss=0.231]
+Epoch 762/1001:  11%|█         | 1/9 [00:00<00:01,  4.56it/s, Loss=0.235]
+Epoch 762/1001:  11%|█         | 1/9 [00:00<00:01,  4.56it/s, Loss=0.234]
+Epoch 762/1001:  11%|█         | 1/9 [00:00<00:01,  4.56it/s, Loss=0.224]
+Epoch 762/1001: 100%|██████████| 9/9 [00:00<00:00, 24.28it/s, Loss=0.224]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 763/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 763/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 763/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.229]
+Epoch 763/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.231]
+Epoch 763/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.229]
+Epoch 763/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.226]
+Epoch 763/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.234]
+Epoch 763/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.232]
+Epoch 763/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.23] 
+Epoch 763/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.228]
+Epoch 763/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.235]
+Epoch 763/1001: 100%|██████████| 9/9 [00:00<00:00, 23.81it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 764/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 764/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 764/1001:  11%|█         | 1/9 [00:00<00:01,  4.63it/s, Loss=0.232]
+Epoch 764/1001:  11%|█         | 1/9 [00:00<00:01,  4.63it/s, Loss=0.232]
+Epoch 764/1001:  11%|█         | 1/9 [00:00<00:01,  4.63it/s, Loss=0.226]
+Epoch 764/1001:  11%|█         | 1/9 [00:00<00:01,  4.63it/s, Loss=0.231]
+Epoch 764/1001:  11%|█         | 1/9 [00:00<00:01,  4.63it/s, Loss=0.229]
+Epoch 764/1001:  11%|█         | 1/9 [00:00<00:01,  4.63it/s, Loss=0.225]
+Epoch 764/1001:  11%|█         | 1/9 [00:00<00:01,  4.63it/s, Loss=0.237]
+Epoch 764/1001:  11%|█         | 1/9 [00:00<00:01,  4.63it/s, Loss=0.235]
+Epoch 764/1001:  11%|█         | 1/9 [00:00<00:01,  4.63it/s, Loss=0.227]
+Epoch 764/1001: 100%|██████████| 9/9 [00:00<00:00, 25.67it/s, Loss=0.227]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 765/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 765/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 765/1001:  11%|█         | 1/9 [00:00<00:01,  5.89it/s, Loss=0.23]
+Epoch 765/1001:  11%|█         | 1/9 [00:00<00:01,  5.89it/s, Loss=0.223]
+Epoch 765/1001:  11%|█         | 1/9 [00:00<00:01,  5.89it/s, Loss=0.231]
+Epoch 765/1001:  11%|█         | 1/9 [00:00<00:01,  5.89it/s, Loss=0.23] 
+Epoch 765/1001:  11%|█         | 1/9 [00:00<00:01,  5.89it/s, Loss=0.231]
+Epoch 765/1001:  11%|█         | 1/9 [00:00<00:01,  5.89it/s, Loss=0.231]
+Epoch 765/1001:  11%|█         | 1/9 [00:00<00:01,  5.89it/s, Loss=0.23] 
+Epoch 765/1001:  11%|█         | 1/9 [00:00<00:01,  5.89it/s, Loss=0.222]
+Epoch 765/1001:  89%|████████▉ | 8/9 [00:00<00:00, 33.19it/s, Loss=0.222]
+Epoch 765/1001:  89%|████████▉ | 8/9 [00:00<00:00, 33.19it/s, Loss=0.235]
+Epoch 765/1001: 100%|██████████| 9/9 [00:00<00:00, 25.09it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 766/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 766/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.237]
+Epoch 766/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.237]
+Epoch 766/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.234]
+Epoch 766/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.227]
+Epoch 766/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.229]
+Epoch 766/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.231]
+Epoch 766/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.233]
+Epoch 766/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.222]
+Epoch 766/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.232]
+Epoch 766/1001:  11%|█         | 1/9 [00:00<00:01,  4.06it/s, Loss=0.234]
+Epoch 766/1001: 100%|██████████| 9/9 [00:00<00:00, 24.44it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 767/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 767/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 767/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.232]
+Epoch 767/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.235]
+Epoch 767/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.231]
+Epoch 767/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.234]
+Epoch 767/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.231]
+Epoch 767/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.232]
+Epoch 767/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.231]
+Epoch 767/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.235]
+Epoch 767/1001:  11%|█         | 1/9 [00:00<00:01,  4.04it/s, Loss=0.23] 
+Epoch 767/1001: 100%|██████████| 9/9 [00:00<00:00, 23.98it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 768/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 768/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.227]
+Epoch 768/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.227]
+Epoch 768/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.23] 
+Epoch 768/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.23]
+Epoch 768/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.232]
+Epoch 768/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.229]
+Epoch 768/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.228]
+Epoch 768/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.229]
+Epoch 768/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.231]
+Epoch 768/1001:  11%|█         | 1/9 [00:00<00:01,  4.43it/s, Loss=0.23] 
+Epoch 768/1001: 100%|██████████| 9/9 [00:00<00:00, 23.82it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 769/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 769/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 769/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.236]
+Epoch 769/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.231]
+Epoch 769/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.231]
+Epoch 769/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.23] 
+Epoch 769/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.23]
+Epoch 769/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.225]
+Epoch 769/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.23] 
+Epoch 769/1001:  78%|███████▊  | 7/9 [00:00<00:00, 24.97it/s, Loss=0.23]
+Epoch 769/1001:  78%|███████▊  | 7/9 [00:00<00:00, 24.97it/s, Loss=0.235]
+Epoch 769/1001:  78%|███████▊  | 7/9 [00:00<00:00, 24.97it/s, Loss=0.228]
+Epoch 769/1001: 100%|██████████| 9/9 [00:00<00:00, 21.89it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 770/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 770/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.227]
+Epoch 770/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.227]
+Epoch 770/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.231]
+Epoch 770/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.229]
+Epoch 770/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.23] 
+Epoch 770/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.231]
+Epoch 770/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.234]
+Epoch 770/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.229]
+Epoch 770/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.231]
+Epoch 770/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.234]
+Epoch 770/1001: 100%|██████████| 9/9 [00:00<00:00, 21.38it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 771/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 771/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 771/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.235]
+Epoch 771/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.236]
+Epoch 771/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.231]
+Epoch 771/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.232]
+Epoch 771/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.232]
+Epoch 771/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.234]
+Epoch 771/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.228]
+Epoch 771/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.228]
+Epoch 771/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.23] 
+Epoch 771/1001: 100%|██████████| 9/9 [00:00<00:00, 23.95it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 772/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 772/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 772/1001:  11%|█         | 1/9 [00:00<00:01,  5.71it/s, Loss=0.233]
+Epoch 772/1001:  11%|█         | 1/9 [00:00<00:01,  5.71it/s, Loss=0.229]
+Epoch 772/1001:  11%|█         | 1/9 [00:00<00:01,  5.71it/s, Loss=0.227]
+Epoch 772/1001:  11%|█         | 1/9 [00:00<00:01,  5.71it/s, Loss=0.231]
+Epoch 772/1001:  11%|█         | 1/9 [00:00<00:01,  5.71it/s, Loss=0.227]
+Epoch 772/1001:  11%|█         | 1/9 [00:00<00:01,  5.71it/s, Loss=0.232]
+Epoch 772/1001:  11%|█         | 1/9 [00:00<00:01,  5.71it/s, Loss=0.23] 
+Epoch 772/1001:  11%|█         | 1/9 [00:00<00:01,  5.71it/s, Loss=0.231]
+Epoch 772/1001:  11%|█         | 1/9 [00:00<00:01,  5.71it/s, Loss=0.226]
+Epoch 772/1001: 100%|██████████| 9/9 [00:00<00:00, 27.62it/s, Loss=0.226]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 773/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 773/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 773/1001:  11%|█         | 1/9 [00:00<00:02,  3.98it/s, Loss=0.234]
+Epoch 773/1001:  11%|█         | 1/9 [00:00<00:02,  3.98it/s, Loss=0.229]
+Epoch 773/1001:  11%|█         | 1/9 [00:00<00:02,  3.98it/s, Loss=0.23] 
+Epoch 773/1001:  11%|█         | 1/9 [00:00<00:02,  3.98it/s, Loss=0.232]
+Epoch 773/1001:  11%|█         | 1/9 [00:00<00:02,  3.98it/s, Loss=0.228]
+Epoch 773/1001:  11%|█         | 1/9 [00:00<00:02,  3.98it/s, Loss=0.233]
+Epoch 773/1001:  11%|█         | 1/9 [00:00<00:02,  3.98it/s, Loss=0.229]
+Epoch 773/1001:  11%|█         | 1/9 [00:00<00:02,  3.98it/s, Loss=0.225]
+Epoch 773/1001:  11%|█         | 1/9 [00:00<00:02,  3.98it/s, Loss=0.23] 
+Epoch 773/1001: 100%|██████████| 9/9 [00:00<00:00, 22.90it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 774/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 774/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 774/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.229]
+Epoch 774/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.228]
+Epoch 774/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.234]
+Epoch 774/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.231]
+Epoch 774/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.232]
+Epoch 774/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.235]
+Epoch 774/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.233]
+Epoch 774/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.226]
+Epoch 774/1001:  11%|█         | 1/9 [00:00<00:01,  5.10it/s, Loss=0.229]
+Epoch 774/1001: 100%|██████████| 9/9 [00:00<00:00, 26.29it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 775/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 775/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 775/1001:  11%|█         | 1/9 [00:00<00:01,  5.03it/s, Loss=0.228]
+Epoch 775/1001:  11%|█         | 1/9 [00:00<00:01,  5.03it/s, Loss=0.226]
+Epoch 775/1001:  11%|█         | 1/9 [00:00<00:01,  5.03it/s, Loss=0.222]
+Epoch 775/1001:  11%|█         | 1/9 [00:00<00:01,  5.03it/s, Loss=0.231]
+Epoch 775/1001:  11%|█         | 1/9 [00:00<00:01,  5.03it/s, Loss=0.231]
+Epoch 775/1001:  11%|█         | 1/9 [00:00<00:01,  5.03it/s, Loss=0.23] 
+Epoch 775/1001:  11%|█         | 1/9 [00:00<00:01,  5.03it/s, Loss=0.223]
+Epoch 775/1001:  11%|█         | 1/9 [00:00<00:01,  5.03it/s, Loss=0.235]
+Epoch 775/1001:  11%|█         | 1/9 [00:00<00:01,  5.03it/s, Loss=0.22] 
+Epoch 775/1001: 100%|██████████| 9/9 [00:00<00:00, 26.58it/s, Loss=0.22]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 776/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 776/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 776/1001:  11%|█         | 1/9 [00:00<00:01,  4.82it/s, Loss=0.232]
+Epoch 776/1001:  11%|█         | 1/9 [00:00<00:01,  4.82it/s, Loss=0.226]
+Epoch 776/1001:  11%|█         | 1/9 [00:00<00:01,  4.82it/s, Loss=0.231]
+Epoch 776/1001:  11%|█         | 1/9 [00:00<00:01,  4.82it/s, Loss=0.23] 
+Epoch 776/1001:  11%|█         | 1/9 [00:00<00:01,  4.82it/s, Loss=0.235]
+Epoch 776/1001:  11%|█         | 1/9 [00:00<00:01,  4.82it/s, Loss=0.232]
+Epoch 776/1001:  11%|█         | 1/9 [00:00<00:01,  4.82it/s, Loss=0.23] 
+Epoch 776/1001:  11%|█         | 1/9 [00:00<00:01,  4.82it/s, Loss=0.227]
+Epoch 776/1001:  11%|█         | 1/9 [00:00<00:01,  4.82it/s, Loss=0.237]
+Epoch 776/1001: 100%|██████████| 9/9 [00:00<00:00, 22.58it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 777/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 777/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 777/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.233]
+Epoch 777/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.229]
+Epoch 777/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.232]
+Epoch 777/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.229]
+Epoch 777/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.235]
+Epoch 777/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.226]
+Epoch 777/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.233]
+Epoch 777/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.226]
+Epoch 777/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.235]
+Epoch 777/1001: 100%|██████████| 9/9 [00:00<00:00, 23.76it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 778/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 778/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 778/1001:  11%|█         | 1/9 [00:00<00:01,  4.10it/s, Loss=0.229]
+Epoch 778/1001:  11%|█         | 1/9 [00:00<00:01,  4.10it/s, Loss=0.229]
+Epoch 778/1001:  11%|█         | 1/9 [00:00<00:01,  4.10it/s, Loss=0.234]
+Epoch 778/1001:  11%|█         | 1/9 [00:00<00:01,  4.10it/s, Loss=0.229]
+Epoch 778/1001:  11%|█         | 1/9 [00:00<00:01,  4.10it/s, Loss=0.232]
+Epoch 778/1001:  11%|█         | 1/9 [00:00<00:01,  4.10it/s, Loss=0.237]
+Epoch 778/1001:  11%|█         | 1/9 [00:00<00:01,  4.10it/s, Loss=0.237]
+Epoch 778/1001:  11%|█         | 1/9 [00:00<00:01,  4.10it/s, Loss=0.234]
+Epoch 778/1001:  11%|█         | 1/9 [00:00<00:01,  4.10it/s, Loss=0.232]
+Epoch 778/1001: 100%|██████████| 9/9 [00:00<00:00, 23.40it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 779/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 779/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 779/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.23]
+Epoch 779/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.228]
+Epoch 779/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.225]
+Epoch 779/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.239]
+Epoch 779/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.234]
+Epoch 779/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.229]
+Epoch 779/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.226]
+Epoch 779/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.239]
+Epoch 779/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.234]
+Epoch 779/1001: 100%|██████████| 9/9 [00:00<00:00, 21.16it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 780/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 780/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 780/1001:  11%|█         | 1/9 [00:00<00:02,  3.21it/s, Loss=0.229]
+Epoch 780/1001:  11%|█         | 1/9 [00:00<00:02,  3.21it/s, Loss=0.233]
+Epoch 780/1001:  11%|█         | 1/9 [00:00<00:02,  3.21it/s, Loss=0.232]
+Epoch 780/1001:  11%|█         | 1/9 [00:00<00:02,  3.21it/s, Loss=0.232]
+Epoch 780/1001:  11%|█         | 1/9 [00:00<00:02,  3.21it/s, Loss=0.224]
+Epoch 780/1001:  11%|█         | 1/9 [00:00<00:02,  3.21it/s, Loss=0.226]
+Epoch 780/1001:  11%|█         | 1/9 [00:00<00:02,  3.21it/s, Loss=0.229]
+Epoch 780/1001:  11%|█         | 1/9 [00:00<00:02,  3.21it/s, Loss=0.227]
+Epoch 780/1001:  11%|█         | 1/9 [00:00<00:02,  3.21it/s, Loss=0.232]
+Epoch 780/1001: 100%|██████████| 9/9 [00:00<00:00, 19.74it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 781/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 781/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 781/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.238]
+Epoch 781/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.225]
+Epoch 781/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.226]
+Epoch 781/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.23] 
+Epoch 781/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.232]
+Epoch 781/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.23] 
+Epoch 781/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.227]
+Epoch 781/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.228]
+Epoch 781/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.234]
+Epoch 781/1001: 100%|██████████| 9/9 [00:00<00:00, 28.65it/s, Loss=0.234]
+Epoch 781/1001: 100%|██████████| 9/9 [00:00<00:00, 20.38it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 782/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 782/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 782/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.232]
+Epoch 782/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.224]
+Epoch 782/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.227]
+Epoch 782/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.228]
+Epoch 782/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.234]
+Epoch 782/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.229]
+Epoch 782/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.223]
+Epoch 782/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.234]
+Epoch 782/1001:  11%|█         | 1/9 [00:00<00:01,  4.12it/s, Loss=0.229]
+Epoch 782/1001: 100%|██████████| 9/9 [00:00<00:00, 23.92it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 783/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 783/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 783/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.235]
+Epoch 783/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.231]
+Epoch 783/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.232]
+Epoch 783/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.233]
+Epoch 783/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.234]
+Epoch 783/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.234]
+Epoch 783/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.233]
+Epoch 783/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.231]
+Epoch 783/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.231]
+Epoch 783/1001: 100%|██████████| 9/9 [00:00<00:00, 20.75it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 784/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 784/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 784/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.229]
+Epoch 784/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.233]
+Epoch 784/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.228]
+Epoch 784/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.227]
+Epoch 784/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.234]
+Epoch 784/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.233]
+Epoch 784/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.234]
+Epoch 784/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.228]
+Epoch 784/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.231]
+Epoch 784/1001: 100%|██████████| 9/9 [00:00<00:00, 21.55it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 785/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 785/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 785/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.229]
+Epoch 785/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.236]
+Epoch 785/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.231]
+Epoch 785/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.231]
+Epoch 785/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.232]
+Epoch 785/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.228]
+Epoch 785/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.23] 
+Epoch 785/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.233]
+Epoch 785/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.226]
+Epoch 785/1001: 100%|██████████| 9/9 [00:00<00:00, 22.27it/s, Loss=0.226]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 786/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 786/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.227]
+Epoch 786/1001:  11%|█         | 1/9 [00:00<00:01,  4.15it/s, Loss=0.227]
+Epoch 786/1001:  11%|█         | 1/9 [00:00<00:01,  4.15it/s, Loss=0.235]
+Epoch 786/1001:  11%|█         | 1/9 [00:00<00:01,  4.15it/s, Loss=0.231]
+Epoch 786/1001:  11%|█         | 1/9 [00:00<00:01,  4.15it/s, Loss=0.236]
+Epoch 786/1001:  11%|█         | 1/9 [00:00<00:01,  4.15it/s, Loss=0.227]
+Epoch 786/1001:  11%|█         | 1/9 [00:00<00:01,  4.15it/s, Loss=0.227]
+Epoch 786/1001:  11%|█         | 1/9 [00:00<00:01,  4.15it/s, Loss=0.232]
+Epoch 786/1001:  11%|█         | 1/9 [00:00<00:01,  4.15it/s, Loss=0.237]
+Epoch 786/1001:  11%|█         | 1/9 [00:00<00:01,  4.15it/s, Loss=0.238]
+Epoch 786/1001: 100%|██████████| 9/9 [00:00<00:00, 22.16it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 787/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 787/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 787/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.234]
+Epoch 787/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.221]
+Epoch 787/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.236]
+Epoch 787/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.229]
+Epoch 787/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.235]
+Epoch 787/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.229]
+Epoch 787/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.234]
+Epoch 787/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.235]
+Epoch 787/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.233]
+Epoch 787/1001: 100%|██████████| 9/9 [00:00<00:00, 22.26it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 788/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 788/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 788/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.231]
+Epoch 788/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.234]
+Epoch 788/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.237]
+Epoch 788/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.233]
+Epoch 788/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.238]
+Epoch 788/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.23] 
+Epoch 788/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.232]
+Epoch 788/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.228]
+Epoch 788/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.23] 
+Epoch 788/1001: 100%|██████████| 9/9 [00:00<00:00, 22.26it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 789/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 789/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.224]
+Epoch 789/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.224]
+Epoch 789/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.23] 
+Epoch 789/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.234]
+Epoch 789/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.231]
+Epoch 789/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.232]
+Epoch 789/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.232]
+Epoch 789/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.229]
+Epoch 789/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.231]
+Epoch 789/1001:  11%|█         | 1/9 [00:00<00:02,  3.38it/s, Loss=0.233]
+Epoch 789/1001: 100%|██████████| 9/9 [00:00<00:00, 20.72it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 790/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 790/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 790/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.233]
+Epoch 790/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.224]
+Epoch 790/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.234]
+Epoch 790/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.23] 
+Epoch 790/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.226]
+Epoch 790/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.234]
+Epoch 790/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.232]
+Epoch 790/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.231]
+Epoch 790/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.231]
+Epoch 790/1001: 100%|██████████| 9/9 [00:00<00:00, 32.33it/s, Loss=0.231]
+Epoch 790/1001: 100%|██████████| 9/9 [00:00<00:00, 22.55it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 791/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 791/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 791/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.234]
+Epoch 791/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.23] 
+Epoch 791/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.226]
+Epoch 791/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.23] 
+Epoch 791/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.232]
+Epoch 791/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.228]
+Epoch 791/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.23] 
+Epoch 791/1001:  78%|███████▊  | 7/9 [00:00<00:00, 22.33it/s, Loss=0.23]
+Epoch 791/1001:  78%|███████▊  | 7/9 [00:00<00:00, 22.33it/s, Loss=0.235]
+Epoch 791/1001:  78%|███████▊  | 7/9 [00:00<00:00, 22.33it/s, Loss=0.225]
+Epoch 791/1001: 100%|██████████| 9/9 [00:00<00:00, 18.64it/s, Loss=0.225]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 792/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 792/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 792/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.229]
+Epoch 792/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.231]
+Epoch 792/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.225]
+Epoch 792/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.232]
+Epoch 792/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.229]
+Epoch 792/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.228]
+Epoch 792/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.228]
+Epoch 792/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.226]
+Epoch 792/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.228]
+Epoch 792/1001: 100%|██████████| 9/9 [00:00<00:00, 24.26it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 793/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 793/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 793/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.23]
+Epoch 793/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.231]
+Epoch 793/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.233]
+Epoch 793/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.228]
+Epoch 793/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.228]
+Epoch 793/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.229]
+Epoch 793/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.23] 
+Epoch 793/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.235]
+Epoch 793/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.235]
+Epoch 793/1001: 100%|██████████| 9/9 [00:00<00:00, 23.37it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 794/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 794/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 794/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.236]
+Epoch 794/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.227]
+Epoch 794/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.225]
+Epoch 794/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.235]
+Epoch 794/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.232]
+Epoch 794/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.231]
+Epoch 794/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.237]
+Epoch 794/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.231]
+Epoch 794/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.234]
+Epoch 794/1001: 100%|██████████| 9/9 [00:00<00:00, 20.78it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 795/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 795/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 795/1001:  11%|█         | 1/9 [00:00<00:01,  4.32it/s, Loss=0.23]
+Epoch 795/1001:  11%|█         | 1/9 [00:00<00:01,  4.32it/s, Loss=0.231]
+Epoch 795/1001:  11%|█         | 1/9 [00:00<00:01,  4.32it/s, Loss=0.232]
+Epoch 795/1001:  11%|█         | 1/9 [00:00<00:01,  4.32it/s, Loss=0.234]
+Epoch 795/1001:  11%|█         | 1/9 [00:00<00:01,  4.32it/s, Loss=0.231]
+Epoch 795/1001:  11%|█         | 1/9 [00:00<00:01,  4.32it/s, Loss=0.231]
+Epoch 795/1001:  11%|█         | 1/9 [00:00<00:01,  4.32it/s, Loss=0.231]
+Epoch 795/1001:  11%|█         | 1/9 [00:00<00:01,  4.32it/s, Loss=0.229]
+Epoch 795/1001:  11%|█         | 1/9 [00:00<00:01,  4.32it/s, Loss=0.233]
+Epoch 795/1001: 100%|██████████| 9/9 [00:00<00:00, 24.80it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 796/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 796/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 796/1001:  11%|█         | 1/9 [00:00<00:01,  6.34it/s, Loss=0.23]
+Epoch 796/1001:  11%|█         | 1/9 [00:00<00:01,  6.34it/s, Loss=0.231]
+Epoch 796/1001:  11%|█         | 1/9 [00:00<00:01,  6.34it/s, Loss=0.236]
+Epoch 796/1001:  11%|█         | 1/9 [00:00<00:01,  6.34it/s, Loss=0.239]
+Epoch 796/1001:  11%|█         | 1/9 [00:00<00:01,  6.34it/s, Loss=0.237]
+Epoch 796/1001:  11%|█         | 1/9 [00:00<00:01,  6.34it/s, Loss=0.231]
+Epoch 796/1001:  11%|█         | 1/9 [00:00<00:01,  6.34it/s, Loss=0.236]
+Epoch 796/1001:  11%|█         | 1/9 [00:00<00:01,  6.34it/s, Loss=0.229]
+Epoch 796/1001:  11%|█         | 1/9 [00:00<00:01,  6.34it/s, Loss=0.233]
+Epoch 796/1001: 100%|██████████| 9/9 [00:00<00:00, 31.54it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 797/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 797/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 797/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.234]
+Epoch 797/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.228]
+Epoch 797/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.234]
+Epoch 797/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.23] 
+Epoch 797/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.231]
+Epoch 797/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.23] 
+Epoch 797/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.228]
+Epoch 797/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.229]
+Epoch 797/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.23] 
+Epoch 797/1001: 100%|██████████| 9/9 [00:00<00:00, 25.12it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 798/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 798/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 798/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.235]
+Epoch 798/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.229]
+Epoch 798/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.224]
+Epoch 798/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.224]
+Epoch 798/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.231]
+Epoch 798/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.227]
+Epoch 798/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.232]
+Epoch 798/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.228]
+Epoch 798/1001:  89%|████████▉ | 8/9 [00:00<00:00, 22.94it/s, Loss=0.228]
+Epoch 798/1001:  89%|████████▉ | 8/9 [00:00<00:00, 22.94it/s, Loss=0.23] 
+Epoch 798/1001: 100%|██████████| 9/9 [00:00<00:00, 17.51it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 799/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 799/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 799/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.229]
+Epoch 799/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.235]
+Epoch 799/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.227]
+Epoch 799/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.228]
+Epoch 799/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.235]
+Epoch 799/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.234]
+Epoch 799/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.232]
+Epoch 799/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.237]
+Epoch 799/1001:  89%|████████▉ | 8/9 [00:00<00:00, 30.79it/s, Loss=0.237]
+Epoch 799/1001:  89%|████████▉ | 8/9 [00:00<00:00, 30.79it/s, Loss=0.234]
+Epoch 799/1001: 100%|██████████| 9/9 [00:00<00:00, 23.75it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 800/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 800/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 800/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.231]
+Epoch 800/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.231]
+Epoch 800/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.231]
+Epoch 800/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.226]
+Epoch 800/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.235]
+Epoch 800/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.228]
+Epoch 800/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.229]
+Epoch 800/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.23] 
+Epoch 800/1001:  11%|█         | 1/9 [00:00<00:02,  3.75it/s, Loss=0.235]
+Epoch 800/1001: 100%|██████████| 9/9 [00:00<00:00, 22.33it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 801/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 801/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 801/1001:  11%|█         | 1/9 [00:00<00:01,  5.68it/s, Loss=0.228]
+Epoch 801/1001:  11%|█         | 1/9 [00:00<00:01,  5.68it/s, Loss=0.232]
+Epoch 801/1001:  11%|█         | 1/9 [00:00<00:01,  5.68it/s, Loss=0.232]
+Epoch 801/1001:  11%|█         | 1/9 [00:00<00:01,  5.68it/s, Loss=0.23] 
+Epoch 801/1001:  11%|█         | 1/9 [00:00<00:01,  5.68it/s, Loss=0.227]
+Epoch 801/1001:  11%|█         | 1/9 [00:00<00:01,  5.68it/s, Loss=0.226]
+Epoch 801/1001:  11%|█         | 1/9 [00:00<00:01,  5.68it/s, Loss=0.233]
+Epoch 801/1001:  11%|█         | 1/9 [00:00<00:01,  5.68it/s, Loss=0.23] 
+Epoch 801/1001:  11%|█         | 1/9 [00:00<00:01,  5.68it/s, Loss=0.234]
+Epoch 801/1001: 100%|██████████| 9/9 [00:00<00:00, 29.63it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 802/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 802/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 802/1001:  11%|█         | 1/9 [00:00<00:01,  4.15it/s, Loss=0.233]
+Epoch 802/1001:  11%|█         | 1/9 [00:00<00:01,  4.15it/s, Loss=0.229]
+Epoch 802/1001:  11%|█         | 1/9 [00:00<00:01,  4.15it/s, Loss=0.228]
+Epoch 802/1001:  11%|█         | 1/9 [00:00<00:01,  4.15it/s, Loss=0.231]
+Epoch 802/1001:  11%|█         | 1/9 [00:00<00:01,  4.15it/s, Loss=0.228]
+Epoch 802/1001:  11%|█         | 1/9 [00:00<00:01,  4.15it/s, Loss=0.225]
+Epoch 802/1001:  11%|█         | 1/9 [00:00<00:01,  4.15it/s, Loss=0.226]
+Epoch 802/1001:  11%|█         | 1/9 [00:00<00:01,  4.15it/s, Loss=0.238]
+Epoch 802/1001:  11%|█         | 1/9 [00:00<00:01,  4.15it/s, Loss=0.229]
+Epoch 802/1001: 100%|██████████| 9/9 [00:00<00:00, 24.64it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 803/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 803/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.24]
+Epoch 803/1001:  11%|█         | 1/9 [00:00<00:01,  5.93it/s, Loss=0.24]
+Epoch 803/1001:  11%|█         | 1/9 [00:00<00:01,  5.93it/s, Loss=0.229]
+Epoch 803/1001:  11%|█         | 1/9 [00:00<00:01,  5.93it/s, Loss=0.234]
+Epoch 803/1001:  11%|█         | 1/9 [00:00<00:01,  5.93it/s, Loss=0.234]
+Epoch 803/1001:  11%|█         | 1/9 [00:00<00:01,  5.93it/s, Loss=0.228]
+Epoch 803/1001:  11%|█         | 1/9 [00:00<00:01,  5.93it/s, Loss=0.225]
+Epoch 803/1001:  11%|█         | 1/9 [00:00<00:01,  5.93it/s, Loss=0.226]
+Epoch 803/1001:  11%|█         | 1/9 [00:00<00:01,  5.93it/s, Loss=0.228]
+Epoch 803/1001:  89%|████████▉ | 8/9 [00:00<00:00, 34.63it/s, Loss=0.228]
+Epoch 803/1001:  89%|████████▉ | 8/9 [00:00<00:00, 34.63it/s, Loss=0.236]
+Epoch 803/1001: 100%|██████████| 9/9 [00:00<00:00, 26.71it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 804/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 804/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 804/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.234]
+Epoch 804/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.231]
+Epoch 804/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.233]
+Epoch 804/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.23] 
+Epoch 804/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.233]
+Epoch 804/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.226]
+Epoch 804/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.238]
+Epoch 804/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.228]
+Epoch 804/1001:  11%|█         | 1/9 [00:00<00:02,  3.83it/s, Loss=0.228]
+Epoch 804/1001: 100%|██████████| 9/9 [00:00<00:00, 22.65it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 805/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 805/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 805/1001:  11%|█         | 1/9 [00:00<00:01,  5.75it/s, Loss=0.235]
+Epoch 805/1001:  11%|█         | 1/9 [00:00<00:01,  5.75it/s, Loss=0.228]
+Epoch 805/1001:  11%|█         | 1/9 [00:00<00:01,  5.75it/s, Loss=0.23] 
+Epoch 805/1001:  11%|█         | 1/9 [00:00<00:01,  5.75it/s, Loss=0.237]
+Epoch 805/1001:  11%|█         | 1/9 [00:00<00:01,  5.75it/s, Loss=0.228]
+Epoch 805/1001:  11%|█         | 1/9 [00:00<00:01,  5.75it/s, Loss=0.225]
+Epoch 805/1001:  11%|█         | 1/9 [00:00<00:01,  5.75it/s, Loss=0.23] 
+Epoch 805/1001:  11%|█         | 1/9 [00:00<00:01,  5.75it/s, Loss=0.232]
+Epoch 805/1001:  11%|█         | 1/9 [00:00<00:01,  5.75it/s, Loss=0.233]
+Epoch 805/1001: 100%|██████████| 9/9 [00:00<00:00, 28.40it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 806/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 806/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 806/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.229]
+Epoch 806/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.232]
+Epoch 806/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.232]
+Epoch 806/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.229]
+Epoch 806/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.235]
+Epoch 806/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.23] 
+Epoch 806/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.231]
+Epoch 806/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.227]
+Epoch 806/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.237]
+Epoch 806/1001: 100%|██████████| 9/9 [00:00<00:00, 20.25it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 807/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 807/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 807/1001:  11%|█         | 1/9 [00:00<00:01,  5.34it/s, Loss=0.231]
+Epoch 807/1001:  11%|█         | 1/9 [00:00<00:01,  5.34it/s, Loss=0.234]
+Epoch 807/1001:  11%|█         | 1/9 [00:00<00:01,  5.34it/s, Loss=0.234]
+Epoch 807/1001:  11%|█         | 1/9 [00:00<00:01,  5.34it/s, Loss=0.229]
+Epoch 807/1001:  11%|█         | 1/9 [00:00<00:01,  5.34it/s, Loss=0.229]
+Epoch 807/1001:  11%|█         | 1/9 [00:00<00:01,  5.34it/s, Loss=0.226]
+Epoch 807/1001:  11%|█         | 1/9 [00:00<00:01,  5.34it/s, Loss=0.23] 
+Epoch 807/1001:  11%|█         | 1/9 [00:00<00:01,  5.34it/s, Loss=0.23]
+Epoch 807/1001:  11%|█         | 1/9 [00:00<00:01,  5.34it/s, Loss=0.232]
+Epoch 807/1001: 100%|██████████| 9/9 [00:00<00:00, 27.07it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 808/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 808/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 808/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.231]
+Epoch 808/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.226]
+Epoch 808/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.23] 
+Epoch 808/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.23]
+Epoch 808/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.231]
+Epoch 808/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.228]
+Epoch 808/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.237]
+Epoch 808/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.233]
+Epoch 808/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.231]
+Epoch 808/1001: 100%|██████████| 9/9 [00:00<00:00, 21.51it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 809/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 809/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 809/1001:  11%|█         | 1/9 [00:00<00:01,  5.24it/s, Loss=0.229]
+Epoch 809/1001:  11%|█         | 1/9 [00:00<00:01,  5.24it/s, Loss=0.229]
+Epoch 809/1001:  11%|█         | 1/9 [00:00<00:01,  5.24it/s, Loss=0.24] 
+Epoch 809/1001:  11%|█         | 1/9 [00:00<00:01,  5.24it/s, Loss=0.237]
+Epoch 809/1001:  11%|█         | 1/9 [00:00<00:01,  5.24it/s, Loss=0.232]
+Epoch 809/1001:  11%|█         | 1/9 [00:00<00:01,  5.24it/s, Loss=0.227]
+Epoch 809/1001:  11%|█         | 1/9 [00:00<00:01,  5.24it/s, Loss=0.229]
+Epoch 809/1001:  11%|█         | 1/9 [00:00<00:01,  5.24it/s, Loss=0.234]
+Epoch 809/1001:  89%|████████▉ | 8/9 [00:00<00:00, 32.83it/s, Loss=0.234]
+Epoch 809/1001:  89%|████████▉ | 8/9 [00:00<00:00, 32.83it/s, Loss=0.231]
+Epoch 809/1001: 100%|██████████| 9/9 [00:00<00:00, 26.55it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 810/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 810/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.225]
+Epoch 810/1001:  11%|█         | 1/9 [00:00<00:01,  5.85it/s, Loss=0.225]
+Epoch 810/1001:  11%|█         | 1/9 [00:00<00:01,  5.85it/s, Loss=0.229]
+Epoch 810/1001:  11%|█         | 1/9 [00:00<00:01,  5.85it/s, Loss=0.231]
+Epoch 810/1001:  11%|█         | 1/9 [00:00<00:01,  5.85it/s, Loss=0.235]
+Epoch 810/1001:  11%|█         | 1/9 [00:00<00:01,  5.85it/s, Loss=0.235]
+Epoch 810/1001:  11%|█         | 1/9 [00:00<00:01,  5.85it/s, Loss=0.232]
+Epoch 810/1001:  11%|█         | 1/9 [00:00<00:01,  5.85it/s, Loss=0.227]
+Epoch 810/1001:  11%|█         | 1/9 [00:00<00:01,  5.85it/s, Loss=0.235]
+Epoch 810/1001:  11%|█         | 1/9 [00:00<00:01,  5.85it/s, Loss=0.232]
+Epoch 810/1001: 100%|██████████| 9/9 [00:00<00:00, 28.13it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 811/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 811/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 811/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.229]
+Epoch 811/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.223]
+Epoch 811/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.239]
+Epoch 811/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.228]
+Epoch 811/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.228]
+Epoch 811/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.229]
+Epoch 811/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.227]
+Epoch 811/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.23] 
+Epoch 811/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.231]
+Epoch 811/1001: 100%|██████████| 9/9 [00:00<00:00, 22.94it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 812/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 812/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 812/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.23]
+Epoch 812/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.234]
+Epoch 812/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.23] 
+Epoch 812/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.223]
+Epoch 812/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.232]
+Epoch 812/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.23] 
+Epoch 812/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.229]
+Epoch 812/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.23] 
+Epoch 812/1001:  11%|█         | 1/9 [00:00<00:01,  4.36it/s, Loss=0.233]
+Epoch 812/1001: 100%|██████████| 9/9 [00:00<00:00, 22.35it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 813/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 813/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.227]
+Epoch 813/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.227]
+Epoch 813/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.231]
+Epoch 813/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.228]
+Epoch 813/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.234]
+Epoch 813/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.232]
+Epoch 813/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.233]
+Epoch 813/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.233]
+Epoch 813/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.23] 
+Epoch 813/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.228]
+Epoch 813/1001: 100%|██████████| 9/9 [00:00<00:00, 23.53it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 814/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 814/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 814/1001:  11%|█         | 1/9 [00:00<00:01,  5.71it/s, Loss=0.233]
+Epoch 814/1001:  11%|█         | 1/9 [00:00<00:01,  5.71it/s, Loss=0.236]
+Epoch 814/1001:  11%|█         | 1/9 [00:00<00:01,  5.71it/s, Loss=0.235]
+Epoch 814/1001:  11%|█         | 1/9 [00:00<00:01,  5.71it/s, Loss=0.234]
+Epoch 814/1001:  11%|█         | 1/9 [00:00<00:01,  5.71it/s, Loss=0.227]
+Epoch 814/1001:  11%|█         | 1/9 [00:00<00:01,  5.71it/s, Loss=0.23] 
+Epoch 814/1001:  11%|█         | 1/9 [00:00<00:01,  5.71it/s, Loss=0.223]
+Epoch 814/1001:  11%|█         | 1/9 [00:00<00:01,  5.71it/s, Loss=0.229]
+Epoch 814/1001:  11%|█         | 1/9 [00:00<00:01,  5.71it/s, Loss=0.23] 
+Epoch 814/1001: 100%|██████████| 9/9 [00:00<00:00, 37.88it/s, Loss=0.23]
+Epoch 814/1001: 100%|██████████| 9/9 [00:00<00:00, 26.98it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 815/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 815/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 815/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.23]
+Epoch 815/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.229]
+Epoch 815/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.232]
+Epoch 815/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.23] 
+Epoch 815/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.229]
+Epoch 815/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.229]
+Epoch 815/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.226]
+Epoch 815/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.233]
+Epoch 815/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.235]
+Epoch 815/1001: 100%|██████████| 9/9 [00:00<00:00, 23.26it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 816/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 816/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.227]
+Epoch 816/1001:  11%|█         | 1/9 [00:00<00:01,  4.73it/s, Loss=0.227]
+Epoch 816/1001:  11%|█         | 1/9 [00:00<00:01,  4.73it/s, Loss=0.23] 
+Epoch 816/1001:  11%|█         | 1/9 [00:00<00:01,  4.73it/s, Loss=0.232]
+Epoch 816/1001:  11%|█         | 1/9 [00:00<00:01,  4.73it/s, Loss=0.233]
+Epoch 816/1001:  11%|█         | 1/9 [00:00<00:01,  4.73it/s, Loss=0.234]
+Epoch 816/1001:  11%|█         | 1/9 [00:00<00:01,  4.73it/s, Loss=0.23] 
+Epoch 816/1001:  11%|█         | 1/9 [00:00<00:01,  4.73it/s, Loss=0.234]
+Epoch 816/1001:  11%|█         | 1/9 [00:00<00:01,  4.73it/s, Loss=0.229]
+Epoch 816/1001:  11%|█         | 1/9 [00:00<00:01,  4.73it/s, Loss=0.233]
+Epoch 816/1001: 100%|██████████| 9/9 [00:00<00:00, 25.00it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 817/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 817/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 817/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.233]
+Epoch 817/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.236]
+Epoch 817/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.228]
+Epoch 817/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.227]
+Epoch 817/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.231]
+Epoch 817/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.233]
+Epoch 817/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.228]
+Epoch 817/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.229]
+Epoch 817/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.23] 
+Epoch 817/1001: 100%|██████████| 9/9 [00:00<00:00, 22.23it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 818/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 818/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 818/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.234]
+Epoch 818/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.227]
+Epoch 818/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.231]
+Epoch 818/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.229]
+Epoch 818/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.235]
+Epoch 818/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.231]
+Epoch 818/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.234]
+Epoch 818/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.225]
+Epoch 818/1001:  11%|█         | 1/9 [00:00<00:02,  3.42it/s, Loss=0.233]
+Epoch 818/1001: 100%|██████████| 9/9 [00:00<00:00, 21.57it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 819/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 819/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 819/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.228]
+Epoch 819/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.228]
+Epoch 819/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.231]
+Epoch 819/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.23] 
+Epoch 819/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.225]
+Epoch 819/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.231]
+Epoch 819/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.231]
+Epoch 819/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.234]
+Epoch 819/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.225]
+Epoch 819/1001: 100%|██████████| 9/9 [00:00<00:00, 17.18it/s, Loss=0.225]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 820/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 820/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 820/1001:  11%|█         | 1/9 [00:00<00:02,  3.03it/s, Loss=0.228]
+Epoch 820/1001:  11%|█         | 1/9 [00:00<00:02,  3.03it/s, Loss=0.228]
+Epoch 820/1001:  11%|█         | 1/9 [00:00<00:02,  3.03it/s, Loss=0.229]
+Epoch 820/1001:  11%|█         | 1/9 [00:00<00:02,  3.03it/s, Loss=0.226]
+Epoch 820/1001:  11%|█         | 1/9 [00:00<00:02,  3.03it/s, Loss=0.232]
+Epoch 820/1001:  11%|█         | 1/9 [00:00<00:02,  3.03it/s, Loss=0.235]
+Epoch 820/1001:  11%|█         | 1/9 [00:00<00:02,  3.03it/s, Loss=0.23] 
+Epoch 820/1001:  11%|█         | 1/9 [00:00<00:02,  3.03it/s, Loss=0.233]
+Epoch 820/1001:  11%|█         | 1/9 [00:00<00:02,  3.03it/s, Loss=0.23] 
+Epoch 820/1001: 100%|██████████| 9/9 [00:00<00:00, 26.24it/s, Loss=0.23]
+Epoch 820/1001: 100%|██████████| 9/9 [00:00<00:00, 18.84it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 821/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 821/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 821/1001:  11%|█         | 1/9 [00:00<00:01,  6.97it/s, Loss=0.236]
+Epoch 821/1001:  11%|█         | 1/9 [00:00<00:01,  6.97it/s, Loss=0.23] 
+Epoch 821/1001:  11%|█         | 1/9 [00:00<00:01,  6.97it/s, Loss=0.228]
+Epoch 821/1001:  11%|█         | 1/9 [00:00<00:01,  6.97it/s, Loss=0.23] 
+Epoch 821/1001:  11%|█         | 1/9 [00:00<00:01,  6.97it/s, Loss=0.23]
+Epoch 821/1001:  11%|█         | 1/9 [00:00<00:01,  6.97it/s, Loss=0.228]
+Epoch 821/1001:  11%|█         | 1/9 [00:00<00:01,  6.97it/s, Loss=0.233]
+Epoch 821/1001:  11%|█         | 1/9 [00:00<00:01,  6.97it/s, Loss=0.229]
+Epoch 821/1001:  89%|████████▉ | 8/9 [00:00<00:00, 36.37it/s, Loss=0.229]
+Epoch 821/1001:  89%|████████▉ | 8/9 [00:00<00:00, 36.37it/s, Loss=0.232]
+Epoch 821/1001: 100%|██████████| 9/9 [00:00<00:00, 26.57it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 822/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 822/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 822/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.233]
+Epoch 822/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.235]
+Epoch 822/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.227]
+Epoch 822/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.232]
+Epoch 822/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.228]
+Epoch 822/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.237]
+Epoch 822/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.232]
+Epoch 822/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.237]
+Epoch 822/1001:  11%|█         | 1/9 [00:00<00:01,  4.35it/s, Loss=0.227]
+Epoch 822/1001: 100%|██████████| 9/9 [00:00<00:00, 26.48it/s, Loss=0.227]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 823/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 823/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.225]
+Epoch 823/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.225]
+Epoch 823/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.23] 
+Epoch 823/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.232]
+Epoch 823/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.228]
+Epoch 823/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.229]
+Epoch 823/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.232]
+Epoch 823/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.234]
+Epoch 823/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.233]
+Epoch 823/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.231]
+Epoch 823/1001: 100%|██████████| 9/9 [00:00<00:00, 24.86it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 824/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 824/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.225]
+Epoch 824/1001:  11%|█         | 1/9 [00:00<00:01,  6.41it/s, Loss=0.225]
+Epoch 824/1001:  11%|█         | 1/9 [00:00<00:01,  6.41it/s, Loss=0.23] 
+Epoch 824/1001:  11%|█         | 1/9 [00:00<00:01,  6.41it/s, Loss=0.232]
+Epoch 824/1001:  11%|█         | 1/9 [00:00<00:01,  6.41it/s, Loss=0.225]
+Epoch 824/1001:  11%|█         | 1/9 [00:00<00:01,  6.41it/s, Loss=0.227]
+Epoch 824/1001:  11%|█         | 1/9 [00:00<00:01,  6.41it/s, Loss=0.237]
+Epoch 824/1001:  11%|█         | 1/9 [00:00<00:01,  6.41it/s, Loss=0.228]
+Epoch 824/1001:  11%|█         | 1/9 [00:00<00:01,  6.41it/s, Loss=0.229]
+Epoch 824/1001:  89%|████████▉ | 8/9 [00:00<00:00, 34.51it/s, Loss=0.229]
+Epoch 824/1001:  89%|████████▉ | 8/9 [00:00<00:00, 34.51it/s, Loss=0.234]
+Epoch 824/1001: 100%|██████████| 9/9 [00:00<00:00, 26.06it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 825/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 825/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 825/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.235]
+Epoch 825/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.23] 
+Epoch 825/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.237]
+Epoch 825/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.228]
+Epoch 825/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.23] 
+Epoch 825/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.233]
+Epoch 825/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.231]
+Epoch 825/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.224]
+Epoch 825/1001:  11%|█         | 1/9 [00:00<00:01,  4.22it/s, Loss=0.23] 
+Epoch 825/1001: 100%|██████████| 9/9 [00:00<00:00, 22.86it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 826/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 826/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 826/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.233]
+Epoch 826/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.229]
+Epoch 826/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.23] 
+Epoch 826/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.231]
+Epoch 826/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.234]
+Epoch 826/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.234]
+Epoch 826/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.233]
+Epoch 826/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.235]
+Epoch 826/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.229]
+Epoch 826/1001: 100%|██████████| 9/9 [00:00<00:00, 23.81it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 827/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 827/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 827/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.228]
+Epoch 827/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.232]
+Epoch 827/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.237]
+Epoch 827/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.237]
+Epoch 827/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.233]
+Epoch 827/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.227]
+Epoch 827/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.229]
+Epoch 827/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.226]
+Epoch 827/1001:  11%|█         | 1/9 [00:00<00:02,  3.82it/s, Loss=0.228]
+Epoch 827/1001: 100%|██████████| 9/9 [00:00<00:00, 21.49it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 828/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 828/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 828/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.234]
+Epoch 828/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.231]
+Epoch 828/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.236]
+Epoch 828/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.239]
+Epoch 828/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.234]
+Epoch 828/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.229]
+Epoch 828/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.232]
+Epoch 828/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.235]
+Epoch 828/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.236]
+Epoch 828/1001: 100%|██████████| 9/9 [00:00<00:00, 22.45it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 829/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 829/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 829/1001:  11%|█         | 1/9 [00:00<00:02,  3.45it/s, Loss=0.228]
+Epoch 829/1001:  11%|█         | 1/9 [00:00<00:02,  3.45it/s, Loss=0.234]
+Epoch 829/1001:  11%|█         | 1/9 [00:00<00:02,  3.45it/s, Loss=0.232]
+Epoch 829/1001:  11%|█         | 1/9 [00:00<00:02,  3.45it/s, Loss=0.228]
+Epoch 829/1001:  11%|█         | 1/9 [00:00<00:02,  3.45it/s, Loss=0.239]
+Epoch 829/1001:  11%|█         | 1/9 [00:00<00:02,  3.45it/s, Loss=0.226]
+Epoch 829/1001:  11%|█         | 1/9 [00:00<00:02,  3.45it/s, Loss=0.233]
+Epoch 829/1001:  11%|█         | 1/9 [00:00<00:02,  3.45it/s, Loss=0.232]
+Epoch 829/1001:  11%|█         | 1/9 [00:00<00:02,  3.45it/s, Loss=0.222]
+Epoch 829/1001: 100%|██████████| 9/9 [00:00<00:00, 28.61it/s, Loss=0.222]
+Epoch 829/1001: 100%|██████████| 9/9 [00:00<00:00, 20.40it/s, Loss=0.222]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 830/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 830/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 830/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.23]
+Epoch 830/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.233]
+Epoch 830/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.23] 
+Epoch 830/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.231]
+Epoch 830/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.235]
+Epoch 830/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.233]
+Epoch 830/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.239]
+Epoch 830/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.231]
+Epoch 830/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.23] 
+Epoch 830/1001: 100%|██████████| 9/9 [00:00<00:00, 33.60it/s, Loss=0.23]
+Epoch 830/1001: 100%|██████████| 9/9 [00:00<00:00, 23.57it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 831/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 831/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 831/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.229]
+Epoch 831/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.232]
+Epoch 831/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.231]
+Epoch 831/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.231]
+Epoch 831/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.226]
+Epoch 831/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.228]
+Epoch 831/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.23] 
+Epoch 831/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.229]
+Epoch 831/1001:  11%|█         | 1/9 [00:00<00:01,  4.69it/s, Loss=0.232]
+Epoch 831/1001: 100%|██████████| 9/9 [00:00<00:00, 25.64it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 832/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 832/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 832/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.232]
+Epoch 832/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.228]
+Epoch 832/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.233]
+Epoch 832/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.227]
+Epoch 832/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.23] 
+Epoch 832/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.227]
+Epoch 832/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.235]
+Epoch 832/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.227]
+Epoch 832/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.232]
+Epoch 832/1001: 100%|██████████| 9/9 [00:00<00:00, 21.44it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 833/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 833/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 833/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.228]
+Epoch 833/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.232]
+Epoch 833/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.232]
+Epoch 833/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.228]
+Epoch 833/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.232]
+Epoch 833/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.233]
+Epoch 833/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.234]
+Epoch 833/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.228]
+Epoch 833/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.228]
+Epoch 833/1001: 100%|██████████| 9/9 [00:00<00:00, 19.95it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 834/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 834/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 834/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.234]
+Epoch 834/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.23] 
+Epoch 834/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.232]
+Epoch 834/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.232]
+Epoch 834/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.229]
+Epoch 834/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.23] 
+Epoch 834/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.232]
+Epoch 834/1001:  78%|███████▊  | 7/9 [00:00<00:00, 21.80it/s, Loss=0.232]
+Epoch 834/1001:  78%|███████▊  | 7/9 [00:00<00:00, 21.80it/s, Loss=0.234]
+Epoch 834/1001:  78%|███████▊  | 7/9 [00:00<00:00, 21.80it/s, Loss=0.228]
+Epoch 834/1001: 100%|██████████| 9/9 [00:00<00:00, 18.40it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 835/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 835/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 835/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.23]
+Epoch 835/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.232]
+Epoch 835/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.233]
+Epoch 835/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.229]
+Epoch 835/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.23] 
+Epoch 835/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.225]
+Epoch 835/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.234]
+Epoch 835/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.234]
+Epoch 835/1001:  89%|████████▉ | 8/9 [00:00<00:00, 23.63it/s, Loss=0.234]
+Epoch 835/1001:  89%|████████▉ | 8/9 [00:00<00:00, 23.63it/s, Loss=0.229]
+Epoch 835/1001: 100%|██████████| 9/9 [00:00<00:00, 17.97it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 836/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 836/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.227]
+Epoch 836/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.227]
+Epoch 836/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.231]
+Epoch 836/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.232]
+Epoch 836/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.23] 
+Epoch 836/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.231]
+Epoch 836/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.23] 
+Epoch 836/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.233]
+Epoch 836/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.233]
+Epoch 836/1001:  89%|████████▉ | 8/9 [00:00<00:00, 22.80it/s, Loss=0.233]
+Epoch 836/1001:  89%|████████▉ | 8/9 [00:00<00:00, 22.80it/s, Loss=0.233]
+Epoch 836/1001: 100%|██████████| 9/9 [00:00<00:00, 17.72it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 837/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 837/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 837/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.229]
+Epoch 837/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.233]
+Epoch 837/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.233]
+Epoch 837/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.226]
+Epoch 837/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.231]
+Epoch 837/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.23] 
+Epoch 837/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.234]
+Epoch 837/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.226]
+Epoch 837/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.75it/s, Loss=0.226]
+Epoch 837/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.75it/s, Loss=0.23] 
+Epoch 837/1001: 100%|██████████| 9/9 [00:00<00:00, 18.78it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 838/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 838/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 838/1001:  11%|█         | 1/9 [00:00<00:02,  2.98it/s, Loss=0.236]
+Epoch 838/1001:  11%|█         | 1/9 [00:00<00:02,  2.98it/s, Loss=0.225]
+Epoch 838/1001:  11%|█         | 1/9 [00:00<00:02,  2.98it/s, Loss=0.23] 
+Epoch 838/1001:  11%|█         | 1/9 [00:00<00:02,  2.98it/s, Loss=0.232]
+Epoch 838/1001:  11%|█         | 1/9 [00:00<00:02,  2.98it/s, Loss=0.234]
+Epoch 838/1001:  11%|█         | 1/9 [00:00<00:02,  2.98it/s, Loss=0.235]
+Epoch 838/1001:  11%|█         | 1/9 [00:00<00:02,  2.98it/s, Loss=0.232]
+Epoch 838/1001:  11%|█         | 1/9 [00:00<00:02,  2.98it/s, Loss=0.236]
+Epoch 838/1001:  11%|█         | 1/9 [00:00<00:02,  2.98it/s, Loss=0.234]
+Epoch 838/1001: 100%|██████████| 9/9 [00:00<00:00, 18.75it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 839/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 839/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 839/1001:  11%|█         | 1/9 [00:00<00:01,  4.01it/s, Loss=0.231]
+Epoch 839/1001:  11%|█         | 1/9 [00:00<00:01,  4.01it/s, Loss=0.233]
+Epoch 839/1001:  11%|█         | 1/9 [00:00<00:01,  4.01it/s, Loss=0.231]
+Epoch 839/1001:  11%|█         | 1/9 [00:00<00:01,  4.01it/s, Loss=0.227]
+Epoch 839/1001:  11%|█         | 1/9 [00:00<00:01,  4.01it/s, Loss=0.239]
+Epoch 839/1001:  11%|█         | 1/9 [00:00<00:01,  4.01it/s, Loss=0.229]
+Epoch 839/1001:  11%|█         | 1/9 [00:00<00:01,  4.01it/s, Loss=0.227]
+Epoch 839/1001:  11%|█         | 1/9 [00:00<00:01,  4.01it/s, Loss=0.226]
+Epoch 839/1001:  11%|█         | 1/9 [00:00<00:01,  4.01it/s, Loss=0.238]
+Epoch 839/1001: 100%|██████████| 9/9 [00:00<00:00, 22.55it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 840/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 840/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.239]
+Epoch 840/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.239]
+Epoch 840/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.228]
+Epoch 840/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.223]
+Epoch 840/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.227]
+Epoch 840/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.235]
+Epoch 840/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.226]
+Epoch 840/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.233]
+Epoch 840/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.229]
+Epoch 840/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.231]
+Epoch 840/1001: 100%|██████████| 9/9 [00:00<00:00, 21.52it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 841/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 841/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 841/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.232]
+Epoch 841/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.235]
+Epoch 841/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.234]
+Epoch 841/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.231]
+Epoch 841/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.233]
+Epoch 841/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.23] 
+Epoch 841/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.226]
+Epoch 841/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.233]
+Epoch 841/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.232]
+Epoch 841/1001: 100%|██████████| 9/9 [00:00<00:00, 29.35it/s, Loss=0.232]
+Epoch 841/1001: 100%|██████████| 9/9 [00:00<00:00, 20.30it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 842/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 842/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 842/1001:  11%|█         | 1/9 [00:00<00:02,  3.73it/s, Loss=0.232]
+Epoch 842/1001:  11%|█         | 1/9 [00:00<00:02,  3.73it/s, Loss=0.226]
+Epoch 842/1001:  11%|█         | 1/9 [00:00<00:02,  3.73it/s, Loss=0.227]
+Epoch 842/1001:  11%|█         | 1/9 [00:00<00:02,  3.73it/s, Loss=0.233]
+Epoch 842/1001:  11%|█         | 1/9 [00:00<00:02,  3.73it/s, Loss=0.229]
+Epoch 842/1001:  11%|█         | 1/9 [00:00<00:02,  3.73it/s, Loss=0.229]
+Epoch 842/1001:  11%|█         | 1/9 [00:00<00:02,  3.73it/s, Loss=0.231]
+Epoch 842/1001:  11%|█         | 1/9 [00:00<00:02,  3.73it/s, Loss=0.231]
+Epoch 842/1001:  11%|█         | 1/9 [00:00<00:02,  3.73it/s, Loss=0.223]
+Epoch 842/1001: 100%|██████████| 9/9 [00:00<00:00, 22.00it/s, Loss=0.223]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 843/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 843/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 843/1001:  11%|█         | 1/9 [00:00<00:02,  3.99it/s, Loss=0.231]
+Epoch 843/1001:  11%|█         | 1/9 [00:00<00:02,  3.99it/s, Loss=0.221]
+Epoch 843/1001:  11%|█         | 1/9 [00:00<00:02,  3.99it/s, Loss=0.233]
+Epoch 843/1001:  11%|█         | 1/9 [00:00<00:02,  3.99it/s, Loss=0.233]
+Epoch 843/1001:  11%|█         | 1/9 [00:00<00:02,  3.99it/s, Loss=0.229]
+Epoch 843/1001:  11%|█         | 1/9 [00:00<00:02,  3.99it/s, Loss=0.228]
+Epoch 843/1001:  11%|█         | 1/9 [00:00<00:02,  3.99it/s, Loss=0.237]
+Epoch 843/1001:  11%|█         | 1/9 [00:00<00:02,  3.99it/s, Loss=0.23] 
+Epoch 843/1001:  11%|█         | 1/9 [00:00<00:02,  3.99it/s, Loss=0.232]
+Epoch 843/1001: 100%|██████████| 9/9 [00:00<00:00, 22.58it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 844/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 844/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 844/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.229]
+Epoch 844/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.237]
+Epoch 844/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.237]
+Epoch 844/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.236]
+Epoch 844/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.227]
+Epoch 844/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.226]
+Epoch 844/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.235]
+Epoch 844/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.236]
+Epoch 844/1001:  11%|█         | 1/9 [00:00<00:02,  3.47it/s, Loss=0.223]
+Epoch 844/1001: 100%|██████████| 9/9 [00:00<00:00, 20.73it/s, Loss=0.223]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 845/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 845/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 845/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.23]
+Epoch 845/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.223]
+Epoch 845/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.226]
+Epoch 845/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.231]
+Epoch 845/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.229]
+Epoch 845/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.228]
+Epoch 845/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.232]
+Epoch 845/1001:  11%|█         | 1/9 [00:00<00:02,  3.76it/s, Loss=0.229]
+Epoch 845/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.42it/s, Loss=0.229]
+Epoch 845/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.42it/s, Loss=0.235]
+Epoch 845/1001: 100%|██████████| 9/9 [00:00<00:00, 20.64it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 846/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 846/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 846/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.231]
+Epoch 846/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.228]
+Epoch 846/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.23] 
+Epoch 846/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.228]
+Epoch 846/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.232]
+Epoch 846/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.23] 
+Epoch 846/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.23]
+Epoch 846/1001:  11%|█         | 1/9 [00:00<00:02,  3.90it/s, Loss=0.231]
+Epoch 846/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.17it/s, Loss=0.231]
+Epoch 846/1001:  89%|████████▉ | 8/9 [00:00<00:00, 26.17it/s, Loss=0.231]
+Epoch 846/1001: 100%|██████████| 9/9 [00:00<00:00, 20.58it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 847/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 847/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.227]
+Epoch 847/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.227]
+Epoch 847/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.23] 
+Epoch 847/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.223]
+Epoch 847/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.23] 
+Epoch 847/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.231]
+Epoch 847/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.225]
+Epoch 847/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.235]
+Epoch 847/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.227]
+Epoch 847/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.226]
+Epoch 847/1001: 100%|██████████| 9/9 [00:00<00:00, 20.78it/s, Loss=0.226]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 848/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 848/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 848/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.232]
+Epoch 848/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.231]
+Epoch 848/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.233]
+Epoch 848/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.234]
+Epoch 848/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.231]
+Epoch 848/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.233]
+Epoch 848/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.229]
+Epoch 848/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.235]
+Epoch 848/1001:  11%|█         | 1/9 [00:00<00:01,  4.14it/s, Loss=0.23] 
+Epoch 848/1001: 100%|██████████| 9/9 [00:00<00:00, 24.65it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 849/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 849/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 849/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.233]
+Epoch 849/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.234]
+Epoch 849/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.237]
+Epoch 849/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.227]
+Epoch 849/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.234]
+Epoch 849/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.226]
+Epoch 849/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.231]
+Epoch 849/1001:  78%|███████▊  | 7/9 [00:00<00:00, 21.18it/s, Loss=0.231]
+Epoch 849/1001:  78%|███████▊  | 7/9 [00:00<00:00, 21.18it/s, Loss=0.234]
+Epoch 849/1001:  78%|███████▊  | 7/9 [00:00<00:00, 21.18it/s, Loss=0.233]
+Epoch 849/1001: 100%|██████████| 9/9 [00:00<00:00, 18.68it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 850/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 850/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 850/1001:  11%|█         | 1/9 [00:00<00:01,  5.03it/s, Loss=0.235]
+Epoch 850/1001:  11%|█         | 1/9 [00:00<00:01,  5.03it/s, Loss=0.231]
+Epoch 850/1001:  11%|█         | 1/9 [00:00<00:01,  5.03it/s, Loss=0.228]
+Epoch 850/1001:  11%|█         | 1/9 [00:00<00:01,  5.03it/s, Loss=0.226]
+Epoch 850/1001:  11%|█         | 1/9 [00:00<00:01,  5.03it/s, Loss=0.231]
+Epoch 850/1001:  11%|█         | 1/9 [00:00<00:01,  5.03it/s, Loss=0.227]
+Epoch 850/1001:  11%|█         | 1/9 [00:00<00:01,  5.03it/s, Loss=0.228]
+Epoch 850/1001:  11%|█         | 1/9 [00:00<00:01,  5.03it/s, Loss=0.228]
+Epoch 850/1001:  11%|█         | 1/9 [00:00<00:01,  5.03it/s, Loss=0.221]
+Epoch 850/1001: 100%|██████████| 9/9 [00:00<00:00, 27.34it/s, Loss=0.221]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 851/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 851/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 851/1001:  11%|█         | 1/9 [00:00<00:01,  4.68it/s, Loss=0.23]
+Epoch 851/1001:  11%|█         | 1/9 [00:00<00:01,  4.68it/s, Loss=0.232]
+Epoch 851/1001:  11%|█         | 1/9 [00:00<00:01,  4.68it/s, Loss=0.232]
+Epoch 851/1001:  11%|█         | 1/9 [00:00<00:01,  4.68it/s, Loss=0.232]
+Epoch 851/1001:  11%|█         | 1/9 [00:00<00:01,  4.68it/s, Loss=0.228]
+Epoch 851/1001:  11%|█         | 1/9 [00:00<00:01,  4.68it/s, Loss=0.229]
+Epoch 851/1001:  11%|█         | 1/9 [00:00<00:01,  4.68it/s, Loss=0.226]
+Epoch 851/1001:  11%|█         | 1/9 [00:00<00:01,  4.68it/s, Loss=0.229]
+Epoch 851/1001:  11%|█         | 1/9 [00:00<00:01,  4.68it/s, Loss=0.235]
+Epoch 851/1001: 100%|██████████| 9/9 [00:00<00:00, 24.87it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 852/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 852/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 852/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.232]
+Epoch 852/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.235]
+Epoch 852/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.23] 
+Epoch 852/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.231]
+Epoch 852/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.231]
+Epoch 852/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.225]
+Epoch 852/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.23] 
+Epoch 852/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.235]
+Epoch 852/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.234]
+Epoch 852/1001: 100%|██████████| 9/9 [00:00<00:00, 23.88it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 853/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 853/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 853/1001:  11%|█         | 1/9 [00:00<00:01,  5.90it/s, Loss=0.232]
+Epoch 853/1001:  11%|█         | 1/9 [00:00<00:01,  5.90it/s, Loss=0.226]
+Epoch 853/1001:  11%|█         | 1/9 [00:00<00:01,  5.90it/s, Loss=0.228]
+Epoch 853/1001:  11%|█         | 1/9 [00:00<00:01,  5.90it/s, Loss=0.234]
+Epoch 853/1001:  11%|█         | 1/9 [00:00<00:01,  5.90it/s, Loss=0.233]
+Epoch 853/1001:  11%|█         | 1/9 [00:00<00:01,  5.90it/s, Loss=0.234]
+Epoch 853/1001:  11%|█         | 1/9 [00:00<00:01,  5.90it/s, Loss=0.234]
+Epoch 853/1001:  11%|█         | 1/9 [00:00<00:01,  5.90it/s, Loss=0.237]
+Epoch 853/1001:  11%|█         | 1/9 [00:00<00:01,  5.90it/s, Loss=0.227]
+Epoch 853/1001: 100%|██████████| 9/9 [00:00<00:00, 39.65it/s, Loss=0.227]
+Epoch 853/1001: 100%|██████████| 9/9 [00:00<00:00, 28.77it/s, Loss=0.227]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 854/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 854/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 854/1001:  11%|█         | 1/9 [00:00<00:01,  4.88it/s, Loss=0.234]
+Epoch 854/1001:  11%|█         | 1/9 [00:00<00:01,  4.88it/s, Loss=0.233]
+Epoch 854/1001:  11%|█         | 1/9 [00:00<00:01,  4.88it/s, Loss=0.228]
+Epoch 854/1001:  11%|█         | 1/9 [00:00<00:01,  4.88it/s, Loss=0.231]
+Epoch 854/1001:  11%|█         | 1/9 [00:00<00:01,  4.88it/s, Loss=0.232]
+Epoch 854/1001:  11%|█         | 1/9 [00:00<00:01,  4.88it/s, Loss=0.226]
+Epoch 854/1001:  11%|█         | 1/9 [00:00<00:01,  4.88it/s, Loss=0.233]
+Epoch 854/1001:  11%|█         | 1/9 [00:00<00:01,  4.88it/s, Loss=0.227]
+Epoch 854/1001:  11%|█         | 1/9 [00:00<00:01,  4.88it/s, Loss=0.228]
+Epoch 854/1001: 100%|██████████| 9/9 [00:00<00:00, 25.30it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 855/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 855/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 855/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.234]
+Epoch 855/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.235]
+Epoch 855/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.23] 
+Epoch 855/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.228]
+Epoch 855/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.228]
+Epoch 855/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.233]
+Epoch 855/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.232]
+Epoch 855/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.232]
+Epoch 855/1001:  11%|█         | 1/9 [00:00<00:02,  3.80it/s, Loss=0.231]
+Epoch 855/1001: 100%|██████████| 9/9 [00:00<00:00, 22.46it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 856/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 856/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 856/1001:  11%|█         | 1/9 [00:00<00:01,  4.89it/s, Loss=0.228]
+Epoch 856/1001:  11%|█         | 1/9 [00:00<00:01,  4.89it/s, Loss=0.23] 
+Epoch 856/1001:  11%|█         | 1/9 [00:00<00:01,  4.89it/s, Loss=0.229]
+Epoch 856/1001:  11%|█         | 1/9 [00:00<00:01,  4.89it/s, Loss=0.23] 
+Epoch 856/1001:  11%|█         | 1/9 [00:00<00:01,  4.89it/s, Loss=0.23]
+Epoch 856/1001:  11%|█         | 1/9 [00:00<00:01,  4.89it/s, Loss=0.228]
+Epoch 856/1001:  11%|█         | 1/9 [00:00<00:01,  4.89it/s, Loss=0.23] 
+Epoch 856/1001:  11%|█         | 1/9 [00:00<00:01,  4.89it/s, Loss=0.229]
+Epoch 856/1001:  11%|█         | 1/9 [00:00<00:01,  4.89it/s, Loss=0.231]
+Epoch 856/1001: 100%|██████████| 9/9 [00:00<00:00, 35.03it/s, Loss=0.231]
+Epoch 856/1001: 100%|██████████| 9/9 [00:00<00:00, 23.96it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 857/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 857/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.226]
+Epoch 857/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.226]
+Epoch 857/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.23] 
+Epoch 857/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.227]
+Epoch 857/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.228]
+Epoch 857/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.232]
+Epoch 857/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.233]
+Epoch 857/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.231]
+Epoch 857/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.225]
+Epoch 857/1001:  11%|█         | 1/9 [00:00<00:02,  3.89it/s, Loss=0.224]
+Epoch 857/1001: 100%|██████████| 9/9 [00:00<00:00, 23.68it/s, Loss=0.224]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 858/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 858/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.222]
+Epoch 858/1001:  11%|█         | 1/9 [00:00<00:01,  5.27it/s, Loss=0.222]
+Epoch 858/1001:  11%|█         | 1/9 [00:00<00:01,  5.27it/s, Loss=0.233]
+Epoch 858/1001:  11%|█         | 1/9 [00:00<00:01,  5.27it/s, Loss=0.232]
+Epoch 858/1001:  11%|█         | 1/9 [00:00<00:01,  5.27it/s, Loss=0.229]
+Epoch 858/1001:  11%|█         | 1/9 [00:00<00:01,  5.27it/s, Loss=0.234]
+Epoch 858/1001:  11%|█         | 1/9 [00:00<00:01,  5.27it/s, Loss=0.231]
+Epoch 858/1001:  11%|█         | 1/9 [00:00<00:01,  5.27it/s, Loss=0.23] 
+Epoch 858/1001:  11%|█         | 1/9 [00:00<00:01,  5.27it/s, Loss=0.232]
+Epoch 858/1001:  11%|█         | 1/9 [00:00<00:01,  5.27it/s, Loss=0.233]
+Epoch 858/1001: 100%|██████████| 9/9 [00:00<00:00, 27.77it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 859/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 859/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 859/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.235]
+Epoch 859/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.223]
+Epoch 859/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.229]
+Epoch 859/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.226]
+Epoch 859/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.236]
+Epoch 859/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.232]
+Epoch 859/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.231]
+Epoch 859/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.225]
+Epoch 859/1001:  89%|████████▉ | 8/9 [00:00<00:00, 30.58it/s, Loss=0.225]
+Epoch 859/1001:  89%|████████▉ | 8/9 [00:00<00:00, 30.58it/s, Loss=0.23] 
+Epoch 859/1001: 100%|██████████| 9/9 [00:00<00:00, 24.07it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 860/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 860/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 860/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.228]
+Epoch 860/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.231]
+Epoch 860/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.235]
+Epoch 860/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.232]
+Epoch 860/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.23] 
+Epoch 860/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.229]
+Epoch 860/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.228]
+Epoch 860/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.23] 
+Epoch 860/1001:  11%|█         | 1/9 [00:00<00:01,  4.20it/s, Loss=0.226]
+Epoch 860/1001: 100%|██████████| 9/9 [00:00<00:00, 31.99it/s, Loss=0.226]
+Epoch 860/1001: 100%|██████████| 9/9 [00:00<00:00, 21.76it/s, Loss=0.226]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 861/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 861/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 861/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.235]
+Epoch 861/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.228]
+Epoch 861/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.231]
+Epoch 861/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.236]
+Epoch 861/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.235]
+Epoch 861/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.227]
+Epoch 861/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.23] 
+Epoch 861/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.231]
+Epoch 861/1001:  11%|█         | 1/9 [00:00<00:02,  3.92it/s, Loss=0.229]
+Epoch 861/1001: 100%|██████████| 9/9 [00:00<00:00, 30.63it/s, Loss=0.229]
+Epoch 861/1001: 100%|██████████| 9/9 [00:00<00:00, 20.65it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 862/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 862/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.227]
+Epoch 862/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.227]
+Epoch 862/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.232]
+Epoch 862/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.233]
+Epoch 862/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.23] 
+Epoch 862/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.227]
+Epoch 862/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.229]
+Epoch 862/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.225]
+Epoch 862/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.234]
+Epoch 862/1001:  11%|█         | 1/9 [00:00<00:02,  3.95it/s, Loss=0.229]
+Epoch 862/1001: 100%|██████████| 9/9 [00:00<00:00, 22.56it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 863/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 863/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 863/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.229]
+Epoch 863/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.23] 
+Epoch 863/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.226]
+Epoch 863/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.235]
+Epoch 863/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.226]
+Epoch 863/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.232]
+Epoch 863/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.229]
+Epoch 863/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.235]
+Epoch 863/1001:  11%|█         | 1/9 [00:00<00:01,  4.29it/s, Loss=0.231]
+Epoch 863/1001: 100%|██████████| 9/9 [00:00<00:00, 23.54it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 864/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 864/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 864/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.233]
+Epoch 864/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.232]
+Epoch 864/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.233]
+Epoch 864/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.229]
+Epoch 864/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.235]
+Epoch 864/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.235]
+Epoch 864/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.234]
+Epoch 864/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.229]
+Epoch 864/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.225]
+Epoch 864/1001: 100%|██████████| 9/9 [00:00<00:00, 22.09it/s, Loss=0.225]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 865/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 865/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.227]
+Epoch 865/1001:  11%|█         | 1/9 [00:00<00:02,  4.00it/s, Loss=0.227]
+Epoch 865/1001:  11%|█         | 1/9 [00:00<00:02,  4.00it/s, Loss=0.227]
+Epoch 865/1001:  11%|█         | 1/9 [00:00<00:02,  4.00it/s, Loss=0.235]
+Epoch 865/1001:  11%|█         | 1/9 [00:00<00:02,  4.00it/s, Loss=0.229]
+Epoch 865/1001:  11%|█         | 1/9 [00:00<00:02,  4.00it/s, Loss=0.231]
+Epoch 865/1001:  11%|█         | 1/9 [00:00<00:02,  4.00it/s, Loss=0.228]
+Epoch 865/1001:  11%|█         | 1/9 [00:00<00:02,  4.00it/s, Loss=0.229]
+Epoch 865/1001:  11%|█         | 1/9 [00:00<00:02,  4.00it/s, Loss=0.226]
+Epoch 865/1001:  11%|█         | 1/9 [00:00<00:02,  4.00it/s, Loss=0.227]
+Epoch 865/1001: 100%|██████████| 9/9 [00:00<00:00, 24.07it/s, Loss=0.227]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 866/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 866/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.22]
+Epoch 866/1001:  11%|█         | 1/9 [00:00<00:01,  4.00it/s, Loss=0.22]
+Epoch 866/1001:  11%|█         | 1/9 [00:00<00:01,  4.00it/s, Loss=0.235]
+Epoch 866/1001:  11%|█         | 1/9 [00:00<00:01,  4.00it/s, Loss=0.23] 
+Epoch 866/1001:  11%|█         | 1/9 [00:00<00:01,  4.00it/s, Loss=0.231]
+Epoch 866/1001:  11%|█         | 1/9 [00:00<00:01,  4.00it/s, Loss=0.23] 
+Epoch 866/1001:  11%|█         | 1/9 [00:00<00:01,  4.00it/s, Loss=0.23]
+Epoch 866/1001:  11%|█         | 1/9 [00:00<00:01,  4.00it/s, Loss=0.236]
+Epoch 866/1001:  11%|█         | 1/9 [00:00<00:01,  4.00it/s, Loss=0.233]
+Epoch 866/1001:  89%|████████▉ | 8/9 [00:00<00:00, 27.51it/s, Loss=0.233]
+Epoch 866/1001:  89%|████████▉ | 8/9 [00:00<00:00, 27.51it/s, Loss=0.23] 
+Epoch 866/1001: 100%|██████████| 9/9 [00:00<00:00, 22.12it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 867/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 867/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 867/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.228]
+Epoch 867/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.231]
+Epoch 867/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.235]
+Epoch 867/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.233]
+Epoch 867/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.239]
+Epoch 867/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.224]
+Epoch 867/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.236]
+Epoch 867/1001:  11%|█         | 1/9 [00:00<00:01,  4.90it/s, Loss=0.229]
+Epoch 867/1001:  89%|████████▉ | 8/9 [00:00<00:00, 31.47it/s, Loss=0.229]
+Epoch 867/1001:  89%|████████▉ | 8/9 [00:00<00:00, 31.47it/s, Loss=0.233]
+Epoch 867/1001: 100%|██████████| 9/9 [00:00<00:00, 24.43it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 868/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 868/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 868/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.234]
+Epoch 868/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.232]
+Epoch 868/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.227]
+Epoch 868/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.232]
+Epoch 868/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.234]
+Epoch 868/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.226]
+Epoch 868/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.227]
+Epoch 868/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.226]
+Epoch 868/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.231]
+Epoch 868/1001: 100%|██████████| 9/9 [00:00<00:00, 31.84it/s, Loss=0.231]
+Epoch 868/1001: 100%|██████████| 9/9 [00:00<00:00, 22.75it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 869/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 869/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 869/1001:  11%|█         | 1/9 [00:00<00:01,  5.01it/s, Loss=0.238]
+Epoch 869/1001:  11%|█         | 1/9 [00:00<00:01,  5.01it/s, Loss=0.227]
+Epoch 869/1001:  11%|█         | 1/9 [00:00<00:01,  5.01it/s, Loss=0.228]
+Epoch 869/1001:  11%|█         | 1/9 [00:00<00:01,  5.01it/s, Loss=0.238]
+Epoch 869/1001:  11%|█         | 1/9 [00:00<00:01,  5.01it/s, Loss=0.229]
+Epoch 869/1001:  11%|█         | 1/9 [00:00<00:01,  5.01it/s, Loss=0.228]
+Epoch 869/1001:  11%|█         | 1/9 [00:00<00:01,  5.01it/s, Loss=0.232]
+Epoch 869/1001:  11%|█         | 1/9 [00:00<00:01,  5.01it/s, Loss=0.233]
+Epoch 869/1001:  11%|█         | 1/9 [00:00<00:01,  5.01it/s, Loss=0.234]
+Epoch 869/1001: 100%|██████████| 9/9 [00:00<00:00, 27.68it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 870/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 870/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 870/1001:  11%|█         | 1/9 [00:00<00:01,  5.78it/s, Loss=0.236]
+Epoch 870/1001:  11%|█         | 1/9 [00:00<00:01,  5.78it/s, Loss=0.229]
+Epoch 870/1001:  11%|█         | 1/9 [00:00<00:01,  5.78it/s, Loss=0.235]
+Epoch 870/1001:  11%|█         | 1/9 [00:00<00:01,  5.78it/s, Loss=0.228]
+Epoch 870/1001:  11%|█         | 1/9 [00:00<00:01,  5.78it/s, Loss=0.231]
+Epoch 870/1001:  11%|█         | 1/9 [00:00<00:01,  5.78it/s, Loss=0.228]
+Epoch 870/1001:  11%|█         | 1/9 [00:00<00:01,  5.78it/s, Loss=0.233]
+Epoch 870/1001:  11%|█         | 1/9 [00:00<00:01,  5.78it/s, Loss=0.234]
+Epoch 870/1001:  11%|█         | 1/9 [00:00<00:01,  5.78it/s, Loss=0.231]
+Epoch 870/1001: 100%|██████████| 9/9 [00:00<00:00, 27.57it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 871/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 871/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 871/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.232]
+Epoch 871/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.23] 
+Epoch 871/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.229]
+Epoch 871/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.229]
+Epoch 871/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.225]
+Epoch 871/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.221]
+Epoch 871/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.226]
+Epoch 871/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.234]
+Epoch 871/1001:  11%|█         | 1/9 [00:00<00:02,  3.59it/s, Loss=0.226]
+Epoch 871/1001: 100%|██████████| 9/9 [00:00<00:00, 29.23it/s, Loss=0.226]
+Epoch 871/1001: 100%|██████████| 9/9 [00:00<00:00, 20.19it/s, Loss=0.226]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 872/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 872/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 872/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.229]
+Epoch 872/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.222]
+Epoch 872/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.231]
+Epoch 872/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.229]
+Epoch 872/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.226]
+Epoch 872/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.232]
+Epoch 872/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.233]
+Epoch 872/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.233]
+Epoch 872/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.227]
+Epoch 872/1001: 100%|██████████| 9/9 [00:00<00:00, 27.45it/s, Loss=0.227]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 873/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 873/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 873/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.231]
+Epoch 873/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.23] 
+Epoch 873/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.23]
+Epoch 873/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.236]
+Epoch 873/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.231]
+Epoch 873/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.232]
+Epoch 873/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.233]
+Epoch 873/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.231]
+Epoch 873/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.232]
+Epoch 873/1001: 100%|██████████| 9/9 [00:00<00:00, 25.36it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 874/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 874/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 874/1001:  11%|█         | 1/9 [00:00<00:01,  4.94it/s, Loss=0.231]
+Epoch 874/1001:  11%|█         | 1/9 [00:00<00:01,  4.94it/s, Loss=0.23] 
+Epoch 874/1001:  11%|█         | 1/9 [00:00<00:01,  4.94it/s, Loss=0.226]
+Epoch 874/1001:  11%|█         | 1/9 [00:00<00:01,  4.94it/s, Loss=0.226]
+Epoch 874/1001:  11%|█         | 1/9 [00:00<00:01,  4.94it/s, Loss=0.226]
+Epoch 874/1001:  11%|█         | 1/9 [00:00<00:01,  4.94it/s, Loss=0.23] 
+Epoch 874/1001:  11%|█         | 1/9 [00:00<00:01,  4.94it/s, Loss=0.23]
+Epoch 874/1001:  11%|█         | 1/9 [00:00<00:01,  4.94it/s, Loss=0.229]
+Epoch 874/1001:  11%|█         | 1/9 [00:00<00:01,  4.94it/s, Loss=0.234]
+Epoch 874/1001: 100%|██████████| 9/9 [00:00<00:00, 27.95it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 875/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 875/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 875/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.229]
+Epoch 875/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.232]
+Epoch 875/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.229]
+Epoch 875/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.229]
+Epoch 875/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.236]
+Epoch 875/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.231]
+Epoch 875/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.233]
+Epoch 875/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.229]
+Epoch 875/1001:  11%|█         | 1/9 [00:00<00:01,  4.65it/s, Loss=0.232]
+Epoch 875/1001: 100%|██████████| 9/9 [00:00<00:00, 34.45it/s, Loss=0.232]
+Epoch 875/1001: 100%|██████████| 9/9 [00:00<00:00, 24.78it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 876/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 876/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 876/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.231]
+Epoch 876/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.237]
+Epoch 876/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.227]
+Epoch 876/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.236]
+Epoch 876/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.236]
+Epoch 876/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.227]
+Epoch 876/1001:  11%|█         | 1/9 [00:00<00:02,  3.84it/s, Loss=0.232]
+Epoch 876/1001:  78%|███████▊  | 7/9 [00:00<00:00, 23.00it/s, Loss=0.232]
+Epoch 876/1001:  78%|███████▊  | 7/9 [00:00<00:00, 23.00it/s, Loss=0.236]
+Epoch 876/1001:  78%|███████▊  | 7/9 [00:00<00:00, 23.00it/s, Loss=0.231]
+Epoch 876/1001: 100%|██████████| 9/9 [00:00<00:00, 20.81it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 877/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 877/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 877/1001:  11%|█         | 1/9 [00:00<00:01,  5.22it/s, Loss=0.234]
+Epoch 877/1001:  11%|█         | 1/9 [00:00<00:01,  5.22it/s, Loss=0.23] 
+Epoch 877/1001:  11%|█         | 1/9 [00:00<00:01,  5.22it/s, Loss=0.232]
+Epoch 877/1001:  11%|█         | 1/9 [00:00<00:01,  5.22it/s, Loss=0.229]
+Epoch 877/1001:  11%|█         | 1/9 [00:00<00:01,  5.22it/s, Loss=0.229]
+Epoch 877/1001:  11%|█         | 1/9 [00:00<00:01,  5.22it/s, Loss=0.231]
+Epoch 877/1001:  11%|█         | 1/9 [00:00<00:01,  5.22it/s, Loss=0.222]
+Epoch 877/1001:  11%|█         | 1/9 [00:00<00:01,  5.22it/s, Loss=0.234]
+Epoch 877/1001:  11%|█         | 1/9 [00:00<00:01,  5.22it/s, Loss=0.229]
+Epoch 877/1001: 100%|██████████| 9/9 [00:00<00:00, 26.03it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 878/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 878/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 878/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.234]
+Epoch 878/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.231]
+Epoch 878/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.229]
+Epoch 878/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.225]
+Epoch 878/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.233]
+Epoch 878/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.228]
+Epoch 878/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.235]
+Epoch 878/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.234]
+Epoch 878/1001:  11%|█         | 1/9 [00:00<00:01,  4.48it/s, Loss=0.229]
+Epoch 878/1001: 100%|██████████| 9/9 [00:00<00:00, 25.91it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 879/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 879/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 879/1001:  11%|█         | 1/9 [00:00<00:01,  5.11it/s, Loss=0.229]
+Epoch 879/1001:  11%|█         | 1/9 [00:00<00:01,  5.11it/s, Loss=0.233]
+Epoch 879/1001:  11%|█         | 1/9 [00:00<00:01,  5.11it/s, Loss=0.23] 
+Epoch 879/1001:  11%|█         | 1/9 [00:00<00:01,  5.11it/s, Loss=0.236]
+Epoch 879/1001:  11%|█         | 1/9 [00:00<00:01,  5.11it/s, Loss=0.229]
+Epoch 879/1001:  11%|█         | 1/9 [00:00<00:01,  5.11it/s, Loss=0.235]
+Epoch 879/1001:  11%|█         | 1/9 [00:00<00:01,  5.11it/s, Loss=0.228]
+Epoch 879/1001:  11%|█         | 1/9 [00:00<00:01,  5.11it/s, Loss=0.229]
+Epoch 879/1001:  11%|█         | 1/9 [00:00<00:01,  5.11it/s, Loss=0.228]
+Epoch 879/1001: 100%|██████████| 9/9 [00:00<00:00, 29.01it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 880/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 880/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 880/1001:  11%|█         | 1/9 [00:00<00:01,  6.92it/s, Loss=0.23]
+Epoch 880/1001:  11%|█         | 1/9 [00:00<00:01,  6.92it/s, Loss=0.229]
+Epoch 880/1001:  11%|█         | 1/9 [00:00<00:01,  6.92it/s, Loss=0.231]
+Epoch 880/1001:  11%|█         | 1/9 [00:00<00:01,  6.92it/s, Loss=0.232]
+Epoch 880/1001:  11%|█         | 1/9 [00:00<00:01,  6.92it/s, Loss=0.235]
+Epoch 880/1001:  11%|█         | 1/9 [00:00<00:01,  6.92it/s, Loss=0.229]
+Epoch 880/1001:  11%|█         | 1/9 [00:00<00:01,  6.92it/s, Loss=0.233]
+Epoch 880/1001:  11%|█         | 1/9 [00:00<00:01,  6.92it/s, Loss=0.231]
+Epoch 880/1001:  11%|█         | 1/9 [00:00<00:01,  6.92it/s, Loss=0.23] 
+Epoch 880/1001: 100%|██████████| 9/9 [00:00<00:00, 29.63it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 881/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 881/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.225]
+Epoch 881/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.225]
+Epoch 881/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.23] 
+Epoch 881/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.23]
+Epoch 881/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.23]
+Epoch 881/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.224]
+Epoch 881/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.229]
+Epoch 881/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.227]
+Epoch 881/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.234]
+Epoch 881/1001:  11%|█         | 1/9 [00:00<00:01,  4.58it/s, Loss=0.228]
+Epoch 881/1001: 100%|██████████| 9/9 [00:00<00:00, 25.29it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 882/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 882/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 882/1001:  11%|█         | 1/9 [00:00<00:01,  5.41it/s, Loss=0.228]
+Epoch 882/1001:  11%|█         | 1/9 [00:00<00:01,  5.41it/s, Loss=0.228]
+Epoch 882/1001:  11%|█         | 1/9 [00:00<00:01,  5.41it/s, Loss=0.23] 
+Epoch 882/1001:  11%|█         | 1/9 [00:00<00:01,  5.41it/s, Loss=0.229]
+Epoch 882/1001:  11%|█         | 1/9 [00:00<00:01,  5.41it/s, Loss=0.234]
+Epoch 882/1001:  11%|█         | 1/9 [00:00<00:01,  5.41it/s, Loss=0.232]
+Epoch 882/1001:  11%|█         | 1/9 [00:00<00:01,  5.41it/s, Loss=0.232]
+Epoch 882/1001:  11%|█         | 1/9 [00:00<00:01,  5.41it/s, Loss=0.236]
+Epoch 882/1001:  11%|█         | 1/9 [00:00<00:01,  5.41it/s, Loss=0.234]
+Epoch 882/1001: 100%|██████████| 9/9 [00:00<00:00, 28.49it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 883/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 883/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 883/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.23]
+Epoch 883/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.231]
+Epoch 883/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.231]
+Epoch 883/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.234]
+Epoch 883/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.231]
+Epoch 883/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.234]
+Epoch 883/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.233]
+Epoch 883/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.231]
+Epoch 883/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.223]
+Epoch 883/1001: 100%|██████████| 9/9 [00:00<00:00, 21.02it/s, Loss=0.223]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 884/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 884/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 884/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.23]
+Epoch 884/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.238]
+Epoch 884/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.23] 
+Epoch 884/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.232]
+Epoch 884/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.23] 
+Epoch 884/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.228]
+Epoch 884/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.227]
+Epoch 884/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.229]
+Epoch 884/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.229]
+Epoch 884/1001: 100%|██████████| 9/9 [00:00<00:00, 22.21it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 885/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 885/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 885/1001:  11%|█         | 1/9 [00:00<00:01,  4.73it/s, Loss=0.234]
+Epoch 885/1001:  11%|█         | 1/9 [00:00<00:01,  4.73it/s, Loss=0.228]
+Epoch 885/1001:  11%|█         | 1/9 [00:00<00:01,  4.73it/s, Loss=0.23] 
+Epoch 885/1001:  11%|█         | 1/9 [00:00<00:01,  4.73it/s, Loss=0.235]
+Epoch 885/1001:  11%|█         | 1/9 [00:00<00:01,  4.73it/s, Loss=0.229]
+Epoch 885/1001:  11%|█         | 1/9 [00:00<00:01,  4.73it/s, Loss=0.23] 
+Epoch 885/1001:  11%|█         | 1/9 [00:00<00:01,  4.73it/s, Loss=0.231]
+Epoch 885/1001:  11%|█         | 1/9 [00:00<00:01,  4.73it/s, Loss=0.235]
+Epoch 885/1001:  89%|████████▉ | 8/9 [00:00<00:00, 29.93it/s, Loss=0.235]
+Epoch 885/1001:  89%|████████▉ | 8/9 [00:00<00:00, 29.93it/s, Loss=0.228]
+Epoch 885/1001: 100%|██████████| 9/9 [00:00<00:00, 23.61it/s, Loss=0.228]
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+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 886/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 886/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 886/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.235]
+Epoch 886/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.229]
+Epoch 886/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.23] 
+Epoch 886/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.232]
+Epoch 886/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.231]
+Epoch 886/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.232]
+Epoch 886/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.231]
+Epoch 886/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.23] 
+Epoch 886/1001:  11%|█         | 1/9 [00:00<00:01,  4.47it/s, Loss=0.231]
+Epoch 886/1001: 100%|██████████| 9/9 [00:00<00:00, 26.39it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 887/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 887/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 887/1001:  11%|█         | 1/9 [00:00<00:01,  5.84it/s, Loss=0.232]
+Epoch 887/1001:  11%|█         | 1/9 [00:00<00:01,  5.84it/s, Loss=0.23] 
+Epoch 887/1001:  11%|█         | 1/9 [00:00<00:01,  5.84it/s, Loss=0.231]
+Epoch 887/1001:  11%|█         | 1/9 [00:00<00:01,  5.84it/s, Loss=0.226]
+Epoch 887/1001:  11%|█         | 1/9 [00:00<00:01,  5.84it/s, Loss=0.229]
+Epoch 887/1001:  11%|█         | 1/9 [00:00<00:01,  5.84it/s, Loss=0.23] 
+Epoch 887/1001:  11%|█         | 1/9 [00:00<00:01,  5.84it/s, Loss=0.233]
+Epoch 887/1001:  11%|█         | 1/9 [00:00<00:01,  5.84it/s, Loss=0.227]
+Epoch 887/1001:  11%|█         | 1/9 [00:00<00:01,  5.84it/s, Loss=0.23] 
+Epoch 887/1001: 100%|██████████| 9/9 [00:00<00:00, 29.65it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 888/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 888/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 888/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.232]
+Epoch 888/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.231]
+Epoch 888/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.223]
+Epoch 888/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.229]
+Epoch 888/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.226]
+Epoch 888/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.225]
+Epoch 888/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.227]
+Epoch 888/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.232]
+Epoch 888/1001:  11%|█         | 1/9 [00:00<00:02,  3.93it/s, Loss=0.233]
+Epoch 888/1001: 100%|██████████| 9/9 [00:00<00:00, 23.56it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 889/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 889/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.226]
+Epoch 889/1001:  11%|█         | 1/9 [00:00<00:01,  4.78it/s, Loss=0.226]
+Epoch 889/1001:  11%|█         | 1/9 [00:00<00:01,  4.78it/s, Loss=0.234]
+Epoch 889/1001:  11%|█         | 1/9 [00:00<00:01,  4.78it/s, Loss=0.23] 
+Epoch 889/1001:  11%|█         | 1/9 [00:00<00:01,  4.78it/s, Loss=0.228]
+Epoch 889/1001:  11%|█         | 1/9 [00:00<00:01,  4.78it/s, Loss=0.232]
+Epoch 889/1001:  11%|█         | 1/9 [00:00<00:01,  4.78it/s, Loss=0.224]
+Epoch 889/1001:  11%|█         | 1/9 [00:00<00:01,  4.78it/s, Loss=0.23] 
+Epoch 889/1001:  11%|█         | 1/9 [00:00<00:01,  4.78it/s, Loss=0.224]
+Epoch 889/1001:  89%|████████▉ | 8/9 [00:00<00:00, 30.43it/s, Loss=0.224]
+Epoch 889/1001:  89%|████████▉ | 8/9 [00:00<00:00, 30.43it/s, Loss=0.233]
+Epoch 889/1001: 100%|██████████| 9/9 [00:00<00:00, 24.05it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 890/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 890/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.225]
+Epoch 890/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.225]
+Epoch 890/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.231]
+Epoch 890/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.231]
+Epoch 890/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.235]
+Epoch 890/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.226]
+Epoch 890/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.23] 
+Epoch 890/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.232]
+Epoch 890/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.231]
+Epoch 890/1001:  11%|█         | 1/9 [00:00<00:01,  4.84it/s, Loss=0.226]
+Epoch 890/1001: 100%|██████████| 9/9 [00:00<00:00, 25.81it/s, Loss=0.226]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 891/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 891/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.225]
+Epoch 891/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.225]
+Epoch 891/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.235]
+Epoch 891/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.233]
+Epoch 891/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.229]
+Epoch 891/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.23] 
+Epoch 891/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.23]
+Epoch 891/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.229]
+Epoch 891/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.234]
+Epoch 891/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.234]
+Epoch 891/1001: 100%|██████████| 9/9 [00:00<00:00, 22.37it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 892/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 892/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 892/1001:  11%|█         | 1/9 [00:00<00:01,  5.35it/s, Loss=0.233]
+Epoch 892/1001:  11%|█         | 1/9 [00:00<00:01,  5.35it/s, Loss=0.229]
+Epoch 892/1001:  11%|█         | 1/9 [00:00<00:01,  5.35it/s, Loss=0.229]
+Epoch 892/1001:  11%|█         | 1/9 [00:00<00:01,  5.35it/s, Loss=0.229]
+Epoch 892/1001:  11%|█         | 1/9 [00:00<00:01,  5.35it/s, Loss=0.23] 
+Epoch 892/1001:  11%|█         | 1/9 [00:00<00:01,  5.35it/s, Loss=0.231]
+Epoch 892/1001:  11%|█         | 1/9 [00:00<00:01,  5.35it/s, Loss=0.23] 
+Epoch 892/1001:  11%|█         | 1/9 [00:00<00:01,  5.35it/s, Loss=0.231]
+Epoch 892/1001:  11%|█         | 1/9 [00:00<00:01,  5.35it/s, Loss=0.23] 
+Epoch 892/1001: 100%|██████████| 9/9 [00:00<00:00, 26.97it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 893/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 893/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 893/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.229]
+Epoch 893/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.232]
+Epoch 893/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.228]
+Epoch 893/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.225]
+Epoch 893/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.231]
+Epoch 893/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.23] 
+Epoch 893/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.232]
+Epoch 893/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.225]
+Epoch 893/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.232]
+Epoch 893/1001: 100%|██████████| 9/9 [00:00<00:00, 19.53it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 894/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 894/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 894/1001:  11%|█         | 1/9 [00:00<00:02,  2.72it/s, Loss=0.229]
+Epoch 894/1001:  11%|█         | 1/9 [00:00<00:02,  2.72it/s, Loss=0.233]
+Epoch 894/1001:  11%|█         | 1/9 [00:00<00:02,  2.72it/s, Loss=0.231]
+Epoch 894/1001:  11%|█         | 1/9 [00:00<00:02,  2.72it/s, Loss=0.235]
+Epoch 894/1001:  11%|█         | 1/9 [00:00<00:02,  2.72it/s, Loss=0.226]
+Epoch 894/1001:  11%|█         | 1/9 [00:00<00:02,  2.72it/s, Loss=0.236]
+Epoch 894/1001:  11%|█         | 1/9 [00:00<00:02,  2.72it/s, Loss=0.23] 
+Epoch 894/1001:  11%|█         | 1/9 [00:00<00:02,  2.72it/s, Loss=0.231]
+Epoch 894/1001:  11%|█         | 1/9 [00:00<00:02,  2.72it/s, Loss=0.225]
+Epoch 894/1001: 100%|██████████| 9/9 [00:00<00:00, 17.39it/s, Loss=0.225]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 895/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 895/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 895/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.228]
+Epoch 895/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.23] 
+Epoch 895/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.23]
+Epoch 895/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.221]
+Epoch 895/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.23] 
+Epoch 895/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.23]
+Epoch 895/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.23]
+Epoch 895/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.225]
+Epoch 895/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.23] 
+Epoch 895/1001: 100%|██████████| 9/9 [00:00<00:00, 22.24it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 896/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 896/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.224]
+Epoch 896/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.224]
+Epoch 896/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.234]
+Epoch 896/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.228]
+Epoch 896/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.228]
+Epoch 896/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.233]
+Epoch 896/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.237]
+Epoch 896/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.229]
+Epoch 896/1001:  78%|███████▊  | 7/9 [00:00<00:00, 22.94it/s, Loss=0.229]
+Epoch 896/1001:  78%|███████▊  | 7/9 [00:00<00:00, 22.94it/s, Loss=0.23] 
+Epoch 896/1001:  78%|███████▊  | 7/9 [00:00<00:00, 22.94it/s, Loss=0.234]
+Epoch 896/1001: 100%|██████████| 9/9 [00:00<00:00, 19.15it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 897/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 897/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 897/1001:  11%|█         | 1/9 [00:00<00:02,  3.34it/s, Loss=0.231]
+Epoch 897/1001:  11%|█         | 1/9 [00:00<00:02,  3.34it/s, Loss=0.229]
+Epoch 897/1001:  11%|█         | 1/9 [00:00<00:02,  3.34it/s, Loss=0.232]
+Epoch 897/1001:  11%|█         | 1/9 [00:00<00:02,  3.34it/s, Loss=0.235]
+Epoch 897/1001:  11%|█         | 1/9 [00:00<00:02,  3.34it/s, Loss=0.231]
+Epoch 897/1001:  11%|█         | 1/9 [00:00<00:02,  3.34it/s, Loss=0.228]
+Epoch 897/1001:  11%|█         | 1/9 [00:00<00:02,  3.34it/s, Loss=0.235]
+Epoch 897/1001:  11%|█         | 1/9 [00:00<00:02,  3.34it/s, Loss=0.235]
+Epoch 897/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.67it/s, Loss=0.235]
+Epoch 897/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.67it/s, Loss=0.226]
+Epoch 897/1001: 100%|██████████| 9/9 [00:00<00:00, 18.54it/s, Loss=0.226]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 898/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 898/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 898/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.232]
+Epoch 898/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.228]
+Epoch 898/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.229]
+Epoch 898/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.236]
+Epoch 898/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.228]
+Epoch 898/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.223]
+Epoch 898/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.234]
+Epoch 898/1001:  11%|█         | 1/9 [00:00<00:02,  3.15it/s, Loss=0.226]
+Epoch 898/1001:  89%|████████▉ | 8/9 [00:00<00:00, 22.85it/s, Loss=0.226]
+Epoch 898/1001:  89%|████████▉ | 8/9 [00:00<00:00, 22.85it/s, Loss=0.236]
+Epoch 898/1001: 100%|██████████| 9/9 [00:00<00:00, 17.50it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 899/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 899/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.226]
+Epoch 899/1001:  11%|█         | 1/9 [00:00<00:02,  3.35it/s, Loss=0.226]
+Epoch 899/1001:  11%|█         | 1/9 [00:00<00:02,  3.35it/s, Loss=0.23] 
+Epoch 899/1001:  11%|█         | 1/9 [00:00<00:02,  3.35it/s, Loss=0.226]
+Epoch 899/1001:  11%|█         | 1/9 [00:00<00:02,  3.35it/s, Loss=0.224]
+Epoch 899/1001:  11%|█         | 1/9 [00:00<00:02,  3.35it/s, Loss=0.236]
+Epoch 899/1001:  11%|█         | 1/9 [00:00<00:02,  3.35it/s, Loss=0.229]
+Epoch 899/1001:  11%|█         | 1/9 [00:00<00:02,  3.35it/s, Loss=0.232]
+Epoch 899/1001:  11%|█         | 1/9 [00:00<00:02,  3.35it/s, Loss=0.224]
+Epoch 899/1001:  89%|████████▉ | 8/9 [00:00<00:00, 23.64it/s, Loss=0.224]
+Epoch 899/1001:  89%|████████▉ | 8/9 [00:00<00:00, 23.64it/s, Loss=0.236]
+Epoch 899/1001: 100%|██████████| 9/9 [00:00<00:00, 18.44it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 900/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 900/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.226]
+Epoch 900/1001:  11%|█         | 1/9 [00:00<00:02,  2.97it/s, Loss=0.226]
+Epoch 900/1001:  11%|█         | 1/9 [00:00<00:02,  2.97it/s, Loss=0.231]
+Epoch 900/1001:  11%|█         | 1/9 [00:00<00:02,  2.97it/s, Loss=0.234]
+Epoch 900/1001:  11%|█         | 1/9 [00:00<00:02,  2.97it/s, Loss=0.222]
+Epoch 900/1001:  11%|█         | 1/9 [00:00<00:02,  2.97it/s, Loss=0.229]
+Epoch 900/1001:  11%|█         | 1/9 [00:00<00:02,  2.97it/s, Loss=0.231]
+Epoch 900/1001:  11%|█         | 1/9 [00:00<00:02,  2.97it/s, Loss=0.23] 
+Epoch 900/1001:  11%|█         | 1/9 [00:00<00:02,  2.97it/s, Loss=0.228]
+Epoch 900/1001:  11%|█         | 1/9 [00:00<00:02,  2.97it/s, Loss=0.23] 
+Epoch 900/1001: 100%|██████████| 9/9 [00:00<00:00, 18.38it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 901/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 901/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 901/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.235]
+Epoch 901/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.227]
+Epoch 901/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.234]
+Epoch 901/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.234]
+Epoch 901/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.229]
+Epoch 901/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.233]
+Epoch 901/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.235]
+Epoch 901/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.232]
+Epoch 901/1001:  11%|█         | 1/9 [00:00<00:02,  3.30it/s, Loss=0.23] 
+Epoch 901/1001: 100%|██████████| 9/9 [00:00<00:00, 20.33it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 902/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 902/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 902/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.233]
+Epoch 902/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.234]
+Epoch 902/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.226]
+Epoch 902/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.231]
+Epoch 902/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.233]
+Epoch 902/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.229]
+Epoch 902/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.229]
+Epoch 902/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.234]
+Epoch 902/1001:  11%|█         | 1/9 [00:00<00:02,  3.67it/s, Loss=0.23] 
+Epoch 902/1001: 100%|██████████| 9/9 [00:00<00:00, 29.88it/s, Loss=0.23]
+Epoch 902/1001: 100%|██████████| 9/9 [00:00<00:00, 20.73it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 903/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 903/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 903/1001:  11%|█         | 1/9 [00:00<00:02,  3.55it/s, Loss=0.235]
+Epoch 903/1001:  11%|█         | 1/9 [00:00<00:02,  3.55it/s, Loss=0.23] 
+Epoch 903/1001:  11%|█         | 1/9 [00:00<00:02,  3.55it/s, Loss=0.228]
+Epoch 903/1001:  11%|█         | 1/9 [00:00<00:02,  3.55it/s, Loss=0.234]
+Epoch 903/1001:  11%|█         | 1/9 [00:00<00:02,  3.55it/s, Loss=0.23] 
+Epoch 903/1001:  11%|█         | 1/9 [00:00<00:02,  3.55it/s, Loss=0.23]
+Epoch 903/1001:  11%|█         | 1/9 [00:00<00:02,  3.55it/s, Loss=0.232]
+Epoch 903/1001:  11%|█         | 1/9 [00:00<00:02,  3.55it/s, Loss=0.23] 
+Epoch 903/1001:  11%|█         | 1/9 [00:00<00:02,  3.55it/s, Loss=0.23]
+Epoch 903/1001: 100%|██████████| 9/9 [00:00<00:00, 21.59it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 904/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 904/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 904/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.235]
+Epoch 904/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.232]
+Epoch 904/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.234]
+Epoch 904/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.234]
+Epoch 904/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.223]
+Epoch 904/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.234]
+Epoch 904/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.229]
+Epoch 904/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.235]
+Epoch 904/1001:  11%|█         | 1/9 [00:00<00:02,  3.32it/s, Loss=0.234]
+Epoch 904/1001: 100%|██████████| 9/9 [00:00<00:00, 19.97it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 905/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 905/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 905/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.228]
+Epoch 905/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.235]
+Epoch 905/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.228]
+Epoch 905/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.227]
+Epoch 905/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.228]
+Epoch 905/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.23] 
+Epoch 905/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.233]
+Epoch 905/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.23] 
+Epoch 905/1001:  11%|█         | 1/9 [00:00<00:02,  3.44it/s, Loss=0.228]
+Epoch 905/1001: 100%|██████████| 9/9 [00:00<00:00, 27.87it/s, Loss=0.228]
+Epoch 905/1001: 100%|██████████| 9/9 [00:00<00:00, 19.46it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 906/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 906/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.224]
+Epoch 906/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.224]
+Epoch 906/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.23] 
+Epoch 906/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.227]
+Epoch 906/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.226]
+Epoch 906/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.232]
+Epoch 906/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.232]
+Epoch 906/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.229]
+Epoch 906/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.23] 
+Epoch 906/1001:  11%|█         | 1/9 [00:00<00:02,  3.27it/s, Loss=0.228]
+Epoch 906/1001: 100%|██████████| 9/9 [00:00<00:00, 18.44it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 907/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 907/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 907/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.23]
+Epoch 907/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.23]
+Epoch 907/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.23]
+Epoch 907/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.227]
+Epoch 907/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.232]
+Epoch 907/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.23] 
+Epoch 907/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.226]
+Epoch 907/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.229]
+Epoch 907/1001:  11%|█         | 1/9 [00:00<00:02,  3.18it/s, Loss=0.229]
+Epoch 907/1001: 100%|██████████| 9/9 [00:00<00:00, 19.27it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 908/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 908/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 908/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.229]
+Epoch 908/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.232]
+Epoch 908/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.229]
+Epoch 908/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.234]
+Epoch 908/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.229]
+Epoch 908/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.227]
+Epoch 908/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.228]
+Epoch 908/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.239]
+Epoch 908/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.217]
+Epoch 908/1001: 100%|██████████| 9/9 [00:00<00:00, 20.99it/s, Loss=0.217]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 909/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 909/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 909/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.234]
+Epoch 909/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.229]
+Epoch 909/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.229]
+Epoch 909/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.225]
+Epoch 909/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.23] 
+Epoch 909/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.23]
+Epoch 909/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.232]
+Epoch 909/1001:  78%|███████▊  | 7/9 [00:00<00:00, 22.59it/s, Loss=0.232]
+Epoch 909/1001:  78%|███████▊  | 7/9 [00:00<00:00, 22.59it/s, Loss=0.228]
+Epoch 909/1001:  78%|███████▊  | 7/9 [00:00<00:00, 22.59it/s, Loss=0.23] 
+Epoch 909/1001: 100%|██████████| 9/9 [00:00<00:00, 19.10it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 910/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 910/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 910/1001:  11%|█         | 1/9 [00:00<00:03,  2.22it/s, Loss=0.231]
+Epoch 910/1001:  11%|█         | 1/9 [00:00<00:03,  2.22it/s, Loss=0.23] 
+Epoch 910/1001:  11%|█         | 1/9 [00:00<00:03,  2.22it/s, Loss=0.227]
+Epoch 910/1001:  11%|█         | 1/9 [00:00<00:03,  2.22it/s, Loss=0.23] 
+Epoch 910/1001:  11%|█         | 1/9 [00:00<00:03,  2.22it/s, Loss=0.233]
+Epoch 910/1001:  11%|█         | 1/9 [00:00<00:03,  2.22it/s, Loss=0.23] 
+Epoch 910/1001:  11%|█         | 1/9 [00:00<00:03,  2.22it/s, Loss=0.223]
+Epoch 910/1001:  11%|█         | 1/9 [00:00<00:03,  2.22it/s, Loss=0.231]
+Epoch 910/1001:  11%|█         | 1/9 [00:00<00:03,  2.22it/s, Loss=0.232]
+Epoch 910/1001: 100%|██████████| 9/9 [00:00<00:00, 14.78it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 911/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 911/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 911/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.232]
+Epoch 911/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.232]
+Epoch 911/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.229]
+Epoch 911/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.232]
+Epoch 911/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.229]
+Epoch 911/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.228]
+Epoch 911/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.23] 
+Epoch 911/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.23]
+Epoch 911/1001:  11%|█         | 1/9 [00:00<00:02,  3.09it/s, Loss=0.235]
+Epoch 911/1001: 100%|██████████| 9/9 [00:00<00:00, 19.55it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 912/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 912/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 912/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.23]
+Epoch 912/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.23]
+Epoch 912/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.232]
+Epoch 912/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.223]
+Epoch 912/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.23] 
+Epoch 912/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.23]
+Epoch 912/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.237]
+Epoch 912/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.234]
+Epoch 912/1001:  11%|█         | 1/9 [00:00<00:02,  3.50it/s, Loss=0.236]
+Epoch 912/1001: 100%|██████████| 9/9 [00:00<00:00, 21.18it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 913/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 913/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.224]
+Epoch 913/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.224]
+Epoch 913/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.23] 
+Epoch 913/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.224]
+Epoch 913/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.231]
+Epoch 913/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.229]
+Epoch 913/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.234]
+Epoch 913/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.231]
+Epoch 913/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.231]
+Epoch 913/1001:  11%|█         | 1/9 [00:00<00:02,  3.77it/s, Loss=0.233]
+Epoch 913/1001: 100%|██████████| 9/9 [00:00<00:00, 22.22it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 914/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 914/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 914/1001:  11%|█         | 1/9 [00:00<00:01,  4.51it/s, Loss=0.23]
+Epoch 914/1001:  11%|█         | 1/9 [00:00<00:01,  4.51it/s, Loss=0.225]
+Epoch 914/1001:  11%|█         | 1/9 [00:00<00:01,  4.51it/s, Loss=0.234]
+Epoch 914/1001:  11%|█         | 1/9 [00:00<00:01,  4.51it/s, Loss=0.226]
+Epoch 914/1001:  11%|█         | 1/9 [00:00<00:01,  4.51it/s, Loss=0.23] 
+Epoch 914/1001:  11%|█         | 1/9 [00:00<00:01,  4.51it/s, Loss=0.23]
+Epoch 914/1001:  11%|█         | 1/9 [00:00<00:01,  4.51it/s, Loss=0.226]
+Epoch 914/1001:  11%|█         | 1/9 [00:00<00:01,  4.51it/s, Loss=0.229]
+Epoch 914/1001:  11%|█         | 1/9 [00:00<00:01,  4.51it/s, Loss=0.231]
+Epoch 914/1001: 100%|██████████| 9/9 [00:00<00:00, 26.55it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 915/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 915/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 915/1001:  11%|█         | 1/9 [00:00<00:01,  5.81it/s, Loss=0.233]
+Epoch 915/1001:  11%|█         | 1/9 [00:00<00:01,  5.81it/s, Loss=0.238]
+Epoch 915/1001:  11%|█         | 1/9 [00:00<00:01,  5.81it/s, Loss=0.229]
+Epoch 915/1001:  11%|█         | 1/9 [00:00<00:01,  5.81it/s, Loss=0.224]
+Epoch 915/1001:  11%|█         | 1/9 [00:00<00:01,  5.81it/s, Loss=0.23] 
+Epoch 915/1001:  11%|█         | 1/9 [00:00<00:01,  5.81it/s, Loss=0.229]
+Epoch 915/1001:  11%|█         | 1/9 [00:00<00:01,  5.81it/s, Loss=0.23] 
+Epoch 915/1001:  11%|█         | 1/9 [00:00<00:01,  5.81it/s, Loss=0.233]
+Epoch 915/1001:  11%|█         | 1/9 [00:00<00:01,  5.81it/s, Loss=0.226]
+Epoch 915/1001: 100%|██████████| 9/9 [00:00<00:00, 39.29it/s, Loss=0.226]
+Epoch 915/1001: 100%|██████████| 9/9 [00:00<00:00, 28.55it/s, Loss=0.226]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 916/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 916/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 916/1001:  11%|█         | 1/9 [00:00<00:01,  5.14it/s, Loss=0.235]
+Epoch 916/1001:  11%|█         | 1/9 [00:00<00:01,  5.14it/s, Loss=0.231]
+Epoch 916/1001:  11%|█         | 1/9 [00:00<00:01,  5.14it/s, Loss=0.237]
+Epoch 916/1001:  11%|█         | 1/9 [00:00<00:01,  5.14it/s, Loss=0.234]
+Epoch 916/1001:  11%|█         | 1/9 [00:00<00:01,  5.14it/s, Loss=0.233]
+Epoch 916/1001:  11%|█         | 1/9 [00:00<00:01,  5.14it/s, Loss=0.221]
+Epoch 916/1001:  11%|█         | 1/9 [00:00<00:01,  5.14it/s, Loss=0.231]
+Epoch 916/1001:  11%|█         | 1/9 [00:00<00:01,  5.14it/s, Loss=0.225]
+Epoch 916/1001:  11%|█         | 1/9 [00:00<00:01,  5.14it/s, Loss=0.228]
+Epoch 916/1001: 100%|██████████| 9/9 [00:00<00:00, 29.48it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 917/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 917/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.227]
+Epoch 917/1001:  11%|█         | 1/9 [00:00<00:01,  5.29it/s, Loss=0.227]
+Epoch 917/1001:  11%|█         | 1/9 [00:00<00:01,  5.29it/s, Loss=0.236]
+Epoch 917/1001:  11%|█         | 1/9 [00:00<00:01,  5.29it/s, Loss=0.226]
+Epoch 917/1001:  11%|█         | 1/9 [00:00<00:01,  5.29it/s, Loss=0.229]
+Epoch 917/1001:  11%|█         | 1/9 [00:00<00:01,  5.29it/s, Loss=0.226]
+Epoch 917/1001:  11%|█         | 1/9 [00:00<00:01,  5.29it/s, Loss=0.229]
+Epoch 917/1001:  11%|█         | 1/9 [00:00<00:01,  5.29it/s, Loss=0.229]
+Epoch 917/1001:  11%|█         | 1/9 [00:00<00:01,  5.29it/s, Loss=0.231]
+Epoch 917/1001:  11%|█         | 1/9 [00:00<00:01,  5.29it/s, Loss=0.226]
+Epoch 917/1001: 100%|██████████| 9/9 [00:00<00:00, 27.01it/s, Loss=0.226]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 918/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 918/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.224]
+Epoch 918/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.224]
+Epoch 918/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.232]
+Epoch 918/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.239]
+Epoch 918/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.233]
+Epoch 918/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.228]
+Epoch 918/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.231]
+Epoch 918/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.227]
+Epoch 918/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.231]
+Epoch 918/1001:  11%|█         | 1/9 [00:00<00:02,  3.96it/s, Loss=0.23] 
+Epoch 918/1001: 100%|██████████| 9/9 [00:00<00:00, 22.62it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 919/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 919/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 919/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.228]
+Epoch 919/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.231]
+Epoch 919/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.231]
+Epoch 919/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.233]
+Epoch 919/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.23] 
+Epoch 919/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.229]
+Epoch 919/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.227]
+Epoch 919/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.232]
+Epoch 919/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.23] 
+Epoch 919/1001: 100%|██████████| 9/9 [00:00<00:00, 24.23it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 920/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 920/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.226]
+Epoch 920/1001:  11%|█         | 1/9 [00:00<00:01,  5.42it/s, Loss=0.226]
+Epoch 920/1001:  11%|█         | 1/9 [00:00<00:01,  5.42it/s, Loss=0.233]
+Epoch 920/1001:  11%|█         | 1/9 [00:00<00:01,  5.42it/s, Loss=0.227]
+Epoch 920/1001:  11%|█         | 1/9 [00:00<00:01,  5.42it/s, Loss=0.227]
+Epoch 920/1001:  11%|█         | 1/9 [00:00<00:01,  5.42it/s, Loss=0.225]
+Epoch 920/1001:  11%|█         | 1/9 [00:00<00:01,  5.42it/s, Loss=0.225]
+Epoch 920/1001:  11%|█         | 1/9 [00:00<00:01,  5.42it/s, Loss=0.231]
+Epoch 920/1001:  11%|█         | 1/9 [00:00<00:01,  5.42it/s, Loss=0.233]
+Epoch 920/1001:  89%|████████▉ | 8/9 [00:00<00:00, 32.05it/s, Loss=0.233]
+Epoch 920/1001:  89%|████████▉ | 8/9 [00:00<00:00, 32.05it/s, Loss=0.232]
+Epoch 920/1001: 100%|██████████| 9/9 [00:00<00:00, 24.35it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 921/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 921/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 921/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.232]
+Epoch 921/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.231]
+Epoch 921/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.23] 
+Epoch 921/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.228]
+Epoch 921/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.23] 
+Epoch 921/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.229]
+Epoch 921/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.238]
+Epoch 921/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.231]
+Epoch 921/1001:  11%|█         | 1/9 [00:00<00:01,  4.42it/s, Loss=0.231]
+Epoch 921/1001: 100%|██████████| 9/9 [00:00<00:00, 25.72it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 922/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 922/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 922/1001:  11%|█         | 1/9 [00:00<00:01,  5.16it/s, Loss=0.232]
+Epoch 922/1001:  11%|█         | 1/9 [00:00<00:01,  5.16it/s, Loss=0.232]
+Epoch 922/1001:  11%|█         | 1/9 [00:00<00:01,  5.16it/s, Loss=0.225]
+Epoch 922/1001:  11%|█         | 1/9 [00:00<00:01,  5.16it/s, Loss=0.23] 
+Epoch 922/1001:  11%|█         | 1/9 [00:00<00:01,  5.16it/s, Loss=0.229]
+Epoch 922/1001:  11%|█         | 1/9 [00:00<00:01,  5.16it/s, Loss=0.232]
+Epoch 922/1001:  11%|█         | 1/9 [00:00<00:01,  5.16it/s, Loss=0.227]
+Epoch 922/1001:  11%|█         | 1/9 [00:00<00:01,  5.16it/s, Loss=0.236]
+Epoch 922/1001:  11%|█         | 1/9 [00:00<00:01,  5.16it/s, Loss=0.233]
+Epoch 922/1001: 100%|██████████| 9/9 [00:00<00:00, 25.34it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 923/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 923/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 923/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.23]
+Epoch 923/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.235]
+Epoch 923/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.233]
+Epoch 923/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.234]
+Epoch 923/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.231]
+Epoch 923/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.229]
+Epoch 923/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.23] 
+Epoch 923/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.236]
+Epoch 923/1001:  11%|█         | 1/9 [00:00<00:02,  3.85it/s, Loss=0.231]
+Epoch 923/1001: 100%|██████████| 9/9 [00:00<00:00, 23.46it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 924/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 924/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 924/1001:  11%|█         | 1/9 [00:00<00:01,  5.86it/s, Loss=0.23]
+Epoch 924/1001:  11%|█         | 1/9 [00:00<00:01,  5.86it/s, Loss=0.227]
+Epoch 924/1001:  11%|█         | 1/9 [00:00<00:01,  5.86it/s, Loss=0.226]
+Epoch 924/1001:  11%|█         | 1/9 [00:00<00:01,  5.86it/s, Loss=0.236]
+Epoch 924/1001:  11%|█         | 1/9 [00:00<00:01,  5.86it/s, Loss=0.228]
+Epoch 924/1001:  11%|█         | 1/9 [00:00<00:01,  5.86it/s, Loss=0.229]
+Epoch 924/1001:  11%|█         | 1/9 [00:00<00:01,  5.86it/s, Loss=0.232]
+Epoch 924/1001:  11%|█         | 1/9 [00:00<00:01,  5.86it/s, Loss=0.232]
+Epoch 924/1001:  11%|█         | 1/9 [00:00<00:01,  5.86it/s, Loss=0.229]
+Epoch 924/1001: 100%|██████████| 9/9 [00:00<00:00, 27.98it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 925/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 925/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 925/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.233]
+Epoch 925/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.23] 
+Epoch 925/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.23]
+Epoch 925/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.234]
+Epoch 925/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.23] 
+Epoch 925/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.232]
+Epoch 925/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.233]
+Epoch 925/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.229]
+Epoch 925/1001:  11%|█         | 1/9 [00:00<00:01,  4.07it/s, Loss=0.236]
+Epoch 925/1001: 100%|██████████| 9/9 [00:00<00:00, 23.20it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 926/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 926/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 926/1001:  11%|█         | 1/9 [00:00<00:01,  5.22it/s, Loss=0.231]
+Epoch 926/1001:  11%|█         | 1/9 [00:00<00:01,  5.22it/s, Loss=0.231]
+Epoch 926/1001:  11%|█         | 1/9 [00:00<00:01,  5.22it/s, Loss=0.226]
+Epoch 926/1001:  11%|█         | 1/9 [00:00<00:01,  5.22it/s, Loss=0.222]
+Epoch 926/1001:  11%|█         | 1/9 [00:00<00:01,  5.22it/s, Loss=0.227]
+Epoch 926/1001:  11%|█         | 1/9 [00:00<00:01,  5.22it/s, Loss=0.227]
+Epoch 926/1001:  11%|█         | 1/9 [00:00<00:01,  5.22it/s, Loss=0.232]
+Epoch 926/1001:  11%|█         | 1/9 [00:00<00:01,  5.22it/s, Loss=0.233]
+Epoch 926/1001:  11%|█         | 1/9 [00:00<00:01,  5.22it/s, Loss=0.232]
+Epoch 926/1001: 100%|██████████| 9/9 [00:00<00:00, 26.33it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 927/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 927/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 927/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.234]
+Epoch 927/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.23] 
+Epoch 927/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.237]
+Epoch 927/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.231]
+Epoch 927/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.234]
+Epoch 927/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.232]
+Epoch 927/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.232]
+Epoch 927/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.234]
+Epoch 927/1001:  11%|█         | 1/9 [00:00<00:01,  4.25it/s, Loss=0.23] 
+Epoch 927/1001: 100%|██████████| 9/9 [00:00<00:00, 23.61it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 928/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 928/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 928/1001:  11%|█         | 1/9 [00:00<00:01,  5.82it/s, Loss=0.229]
+Epoch 928/1001:  11%|█         | 1/9 [00:00<00:01,  5.82it/s, Loss=0.23] 
+Epoch 928/1001:  11%|█         | 1/9 [00:00<00:01,  5.82it/s, Loss=0.229]
+Epoch 928/1001:  11%|█         | 1/9 [00:00<00:01,  5.82it/s, Loss=0.231]
+Epoch 928/1001:  11%|█         | 1/9 [00:00<00:01,  5.82it/s, Loss=0.235]
+Epoch 928/1001:  11%|█         | 1/9 [00:00<00:01,  5.82it/s, Loss=0.234]
+Epoch 928/1001:  11%|█         | 1/9 [00:00<00:01,  5.82it/s, Loss=0.229]
+Epoch 928/1001:  78%|███████▊  | 7/9 [00:00<00:00, 29.37it/s, Loss=0.229]
+Epoch 928/1001:  78%|███████▊  | 7/9 [00:00<00:00, 29.37it/s, Loss=0.228]
+Epoch 928/1001:  78%|███████▊  | 7/9 [00:00<00:00, 29.37it/s, Loss=0.23] 
+Epoch 928/1001: 100%|██████████| 9/9 [00:00<00:00, 24.19it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 929/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 929/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 929/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.228]
+Epoch 929/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.23] 
+Epoch 929/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.234]
+Epoch 929/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.224]
+Epoch 929/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.228]
+Epoch 929/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.232]
+Epoch 929/1001:  11%|█         | 1/9 [00:00<00:02,  3.26it/s, Loss=0.235]
+Epoch 929/1001:  78%|███████▊  | 7/9 [00:00<00:00, 21.25it/s, Loss=0.235]
+Epoch 929/1001:  78%|███████▊  | 7/9 [00:00<00:00, 21.25it/s, Loss=0.232]
+Epoch 929/1001:  78%|███████▊  | 7/9 [00:00<00:00, 21.25it/s, Loss=0.233]
+Epoch 929/1001: 100%|██████████| 9/9 [00:00<00:00, 18.15it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 930/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 930/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 930/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.233]
+Epoch 930/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.232]
+Epoch 930/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.236]
+Epoch 930/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.231]
+Epoch 930/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.232]
+Epoch 930/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.234]
+Epoch 930/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.231]
+Epoch 930/1001:  11%|█         | 1/9 [00:00<00:02,  3.43it/s, Loss=0.22] 
+Epoch 930/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.77it/s, Loss=0.22]
+Epoch 930/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.77it/s, Loss=0.233]
+Epoch 930/1001: 100%|██████████| 9/9 [00:00<00:00, 19.64it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 931/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 931/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 931/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.232]
+Epoch 931/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.234]
+Epoch 931/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.231]
+Epoch 931/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.23] 
+Epoch 931/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.232]
+Epoch 931/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.232]
+Epoch 931/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.231]
+Epoch 931/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.23] 
+Epoch 931/1001:  11%|█         | 1/9 [00:00<00:01,  4.96it/s, Loss=0.231]
+Epoch 931/1001: 100%|██████████| 9/9 [00:00<00:00, 25.90it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 932/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 932/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 932/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.229]
+Epoch 932/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.235]
+Epoch 932/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.229]
+Epoch 932/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.224]
+Epoch 932/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.234]
+Epoch 932/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.223]
+Epoch 932/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.23] 
+Epoch 932/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.227]
+Epoch 932/1001:  11%|█         | 1/9 [00:00<00:01,  4.30it/s, Loss=0.227]
+Epoch 932/1001: 100%|██████████| 9/9 [00:00<00:00, 25.06it/s, Loss=0.227]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 933/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 933/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 933/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.229]
+Epoch 933/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.237]
+Epoch 933/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.231]
+Epoch 933/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.228]
+Epoch 933/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.231]
+Epoch 933/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.226]
+Epoch 933/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.227]
+Epoch 933/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.227]
+Epoch 933/1001:  11%|█         | 1/9 [00:00<00:02,  3.57it/s, Loss=0.232]
+Epoch 933/1001: 100%|██████████| 9/9 [00:00<00:00, 22.13it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 934/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 934/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.226]
+Epoch 934/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.226]
+Epoch 934/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.229]
+Epoch 934/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.229]
+Epoch 934/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.229]
+Epoch 934/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.228]
+Epoch 934/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.232]
+Epoch 934/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.231]
+Epoch 934/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.236]
+Epoch 934/1001:  11%|█         | 1/9 [00:00<00:01,  5.15it/s, Loss=0.231]
+Epoch 934/1001: 100%|██████████| 9/9 [00:00<00:00, 26.72it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 935/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 935/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 935/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.228]
+Epoch 935/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.233]
+Epoch 935/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.233]
+Epoch 935/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.225]
+Epoch 935/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.223]
+Epoch 935/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.227]
+Epoch 935/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.228]
+Epoch 935/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.229]
+Epoch 935/1001:  89%|████████▉ | 8/9 [00:00<00:00, 27.06it/s, Loss=0.229]
+Epoch 935/1001:  89%|████████▉ | 8/9 [00:00<00:00, 27.06it/s, Loss=0.235]
+Epoch 935/1001: 100%|██████████| 9/9 [00:00<00:00, 21.84it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 936/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 936/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 936/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.229]
+Epoch 936/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.231]
+Epoch 936/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.236]
+Epoch 936/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.23] 
+Epoch 936/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.228]
+Epoch 936/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.231]
+Epoch 936/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.232]
+Epoch 936/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.229]
+Epoch 936/1001:  11%|█         | 1/9 [00:00<00:02,  3.97it/s, Loss=0.224]
+Epoch 936/1001: 100%|██████████| 9/9 [00:00<00:00, 22.65it/s, Loss=0.224]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 937/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 937/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 937/1001:  11%|█         | 1/9 [00:00<00:01,  4.27it/s, Loss=0.234]
+Epoch 937/1001:  11%|█         | 1/9 [00:00<00:01,  4.27it/s, Loss=0.231]
+Epoch 937/1001:  11%|█         | 1/9 [00:00<00:01,  4.27it/s, Loss=0.229]
+Epoch 937/1001:  11%|█         | 1/9 [00:00<00:01,  4.27it/s, Loss=0.233]
+Epoch 937/1001:  11%|█         | 1/9 [00:00<00:01,  4.27it/s, Loss=0.232]
+Epoch 937/1001:  11%|█         | 1/9 [00:00<00:01,  4.27it/s, Loss=0.238]
+Epoch 937/1001:  11%|█         | 1/9 [00:00<00:01,  4.27it/s, Loss=0.23] 
+Epoch 937/1001:  11%|█         | 1/9 [00:00<00:01,  4.27it/s, Loss=0.237]
+Epoch 937/1001:  11%|█         | 1/9 [00:00<00:01,  4.27it/s, Loss=0.229]
+Epoch 937/1001: 100%|██████████| 9/9 [00:00<00:00, 23.84it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 938/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 938/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 938/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.229]
+Epoch 938/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.232]
+Epoch 938/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.232]
+Epoch 938/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.227]
+Epoch 938/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.235]
+Epoch 938/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.23] 
+Epoch 938/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.226]
+Epoch 938/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.232]
+Epoch 938/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.223]
+Epoch 938/1001: 100%|██████████| 9/9 [00:00<00:00, 18.51it/s, Loss=0.223]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 939/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 939/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 939/1001:  11%|█         | 1/9 [00:00<00:01,  4.40it/s, Loss=0.233]
+Epoch 939/1001:  11%|█         | 1/9 [00:00<00:01,  4.40it/s, Loss=0.228]
+Epoch 939/1001:  11%|█         | 1/9 [00:00<00:01,  4.40it/s, Loss=0.23] 
+Epoch 939/1001:  11%|█         | 1/9 [00:00<00:01,  4.40it/s, Loss=0.231]
+Epoch 939/1001:  11%|█         | 1/9 [00:00<00:01,  4.40it/s, Loss=0.227]
+Epoch 939/1001:  11%|█         | 1/9 [00:00<00:01,  4.40it/s, Loss=0.232]
+Epoch 939/1001:  11%|█         | 1/9 [00:00<00:01,  4.40it/s, Loss=0.228]
+Epoch 939/1001:  11%|█         | 1/9 [00:00<00:01,  4.40it/s, Loss=0.233]
+Epoch 939/1001:  89%|████████▉ | 8/9 [00:00<00:00, 29.23it/s, Loss=0.233]
+Epoch 939/1001:  89%|████████▉ | 8/9 [00:00<00:00, 29.23it/s, Loss=0.231]
+Epoch 939/1001: 100%|██████████| 9/9 [00:00<00:00, 21.26it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 940/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 940/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 940/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.229]
+Epoch 940/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.231]
+Epoch 940/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.23] 
+Epoch 940/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.229]
+Epoch 940/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.235]
+Epoch 940/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.233]
+Epoch 940/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.231]
+Epoch 940/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.231]
+Epoch 940/1001:  11%|█         | 1/9 [00:00<00:02,  3.87it/s, Loss=0.236]
+Epoch 940/1001: 100%|██████████| 9/9 [00:00<00:00, 22.28it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 941/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 941/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 941/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.229]
+Epoch 941/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.232]
+Epoch 941/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.229]
+Epoch 941/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.227]
+Epoch 941/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.225]
+Epoch 941/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.231]
+Epoch 941/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.232]
+Epoch 941/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.227]
+Epoch 941/1001:  11%|█         | 1/9 [00:00<00:01,  4.34it/s, Loss=0.232]
+Epoch 941/1001: 100%|██████████| 9/9 [00:00<00:00, 25.18it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 942/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 942/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.226]
+Epoch 942/1001:  11%|█         | 1/9 [00:00<00:01,  5.77it/s, Loss=0.226]
+Epoch 942/1001:  11%|█         | 1/9 [00:00<00:01,  5.77it/s, Loss=0.226]
+Epoch 942/1001:  11%|█         | 1/9 [00:00<00:01,  5.77it/s, Loss=0.225]
+Epoch 942/1001:  11%|█         | 1/9 [00:00<00:01,  5.77it/s, Loss=0.231]
+Epoch 942/1001:  11%|█         | 1/9 [00:00<00:01,  5.77it/s, Loss=0.233]
+Epoch 942/1001:  11%|█         | 1/9 [00:00<00:01,  5.77it/s, Loss=0.227]
+Epoch 942/1001:  11%|█         | 1/9 [00:00<00:01,  5.77it/s, Loss=0.234]
+Epoch 942/1001:  11%|█         | 1/9 [00:00<00:01,  5.77it/s, Loss=0.231]
+Epoch 942/1001:  11%|█         | 1/9 [00:00<00:01,  5.77it/s, Loss=0.231]
+Epoch 942/1001: 100%|██████████| 9/9 [00:00<00:00, 29.88it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 943/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 943/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.236]
+Epoch 943/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.236]
+Epoch 943/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.224]
+Epoch 943/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.233]
+Epoch 943/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.226]
+Epoch 943/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.236]
+Epoch 943/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.228]
+Epoch 943/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.229]
+Epoch 943/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.232]
+Epoch 943/1001:  11%|█         | 1/9 [00:00<00:02,  3.74it/s, Loss=0.227]
+Epoch 943/1001: 100%|██████████| 9/9 [00:00<00:00, 22.22it/s, Loss=0.227]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 944/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 944/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 944/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.228]
+Epoch 944/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.224]
+Epoch 944/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.229]
+Epoch 944/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.231]
+Epoch 944/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.228]
+Epoch 944/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.234]
+Epoch 944/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.226]
+Epoch 944/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.236]
+Epoch 944/1001:  11%|█         | 1/9 [00:00<00:02,  3.78it/s, Loss=0.229]
+Epoch 944/1001: 100%|██████████| 9/9 [00:00<00:00, 22.05it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 945/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 945/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.226]
+Epoch 945/1001:  11%|█         | 1/9 [00:00<00:01,  4.64it/s, Loss=0.226]
+Epoch 945/1001:  11%|█         | 1/9 [00:00<00:01,  4.64it/s, Loss=0.234]
+Epoch 945/1001:  11%|█         | 1/9 [00:00<00:01,  4.64it/s, Loss=0.229]
+Epoch 945/1001:  11%|█         | 1/9 [00:00<00:01,  4.64it/s, Loss=0.225]
+Epoch 945/1001:  11%|█         | 1/9 [00:00<00:01,  4.64it/s, Loss=0.231]
+Epoch 945/1001:  11%|█         | 1/9 [00:00<00:01,  4.64it/s, Loss=0.231]
+Epoch 945/1001:  11%|█         | 1/9 [00:00<00:01,  4.64it/s, Loss=0.228]
+Epoch 945/1001:  11%|█         | 1/9 [00:00<00:01,  4.64it/s, Loss=0.226]
+Epoch 945/1001:  11%|█         | 1/9 [00:00<00:01,  4.64it/s, Loss=0.238]
+Epoch 945/1001: 100%|██████████| 9/9 [00:00<00:00, 23.62it/s, Loss=0.238]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 946/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 946/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.225]
+Epoch 946/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.225]
+Epoch 946/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.228]
+Epoch 946/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.228]
+Epoch 946/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.228]
+Epoch 946/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.227]
+Epoch 946/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.227]
+Epoch 946/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.23] 
+Epoch 946/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.229]
+Epoch 946/1001:  11%|█         | 1/9 [00:00<00:02,  3.41it/s, Loss=0.232]
+Epoch 946/1001: 100%|██████████| 9/9 [00:00<00:00, 20.71it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 947/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 947/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 947/1001:  11%|█         | 1/9 [00:00<00:03,  2.62it/s, Loss=0.234]
+Epoch 947/1001:  11%|█         | 1/9 [00:00<00:03,  2.62it/s, Loss=0.235]
+Epoch 947/1001:  11%|█         | 1/9 [00:00<00:03,  2.62it/s, Loss=0.225]
+Epoch 947/1001:  11%|█         | 1/9 [00:00<00:03,  2.62it/s, Loss=0.226]
+Epoch 947/1001:  11%|█         | 1/9 [00:00<00:03,  2.62it/s, Loss=0.226]
+Epoch 947/1001:  11%|█         | 1/9 [00:00<00:03,  2.62it/s, Loss=0.232]
+Epoch 947/1001:  11%|█         | 1/9 [00:00<00:03,  2.62it/s, Loss=0.235]
+Epoch 947/1001:  11%|█         | 1/9 [00:00<00:03,  2.62it/s, Loss=0.232]
+Epoch 947/1001:  89%|████████▉ | 8/9 [00:00<00:00, 20.75it/s, Loss=0.232]
+Epoch 947/1001:  89%|████████▉ | 8/9 [00:00<00:00, 20.75it/s, Loss=0.233]
+Epoch 947/1001: 100%|██████████| 9/9 [00:00<00:00, 15.88it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 948/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 948/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 948/1001:  11%|█         | 1/9 [00:00<00:02,  3.19it/s, Loss=0.232]
+Epoch 948/1001:  11%|█         | 1/9 [00:00<00:02,  3.19it/s, Loss=0.23] 
+Epoch 948/1001:  11%|█         | 1/9 [00:00<00:02,  3.19it/s, Loss=0.228]
+Epoch 948/1001:  11%|█         | 1/9 [00:00<00:02,  3.19it/s, Loss=0.232]
+Epoch 948/1001:  11%|█         | 1/9 [00:00<00:02,  3.19it/s, Loss=0.234]
+Epoch 948/1001:  11%|█         | 1/9 [00:00<00:02,  3.19it/s, Loss=0.229]
+Epoch 948/1001:  11%|█         | 1/9 [00:00<00:02,  3.19it/s, Loss=0.233]
+Epoch 948/1001:  11%|█         | 1/9 [00:00<00:02,  3.19it/s, Loss=0.23] 
+Epoch 948/1001:  11%|█         | 1/9 [00:00<00:02,  3.19it/s, Loss=0.229]
+Epoch 948/1001: 100%|██████████| 9/9 [00:00<00:00, 17.55it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 949/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 949/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 949/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.228]
+Epoch 949/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.226]
+Epoch 949/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.232]
+Epoch 949/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.229]
+Epoch 949/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.232]
+Epoch 949/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.225]
+Epoch 949/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.224]
+Epoch 949/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.234]
+Epoch 949/1001:  11%|█         | 1/9 [00:00<00:01,  4.05it/s, Loss=0.241]
+Epoch 949/1001: 100%|██████████| 9/9 [00:00<00:00, 22.92it/s, Loss=0.241]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 950/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 950/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.227]
+Epoch 950/1001:  11%|█         | 1/9 [00:00<00:02,  3.60it/s, Loss=0.227]
+Epoch 950/1001:  11%|█         | 1/9 [00:00<00:02,  3.60it/s, Loss=0.229]
+Epoch 950/1001:  11%|█         | 1/9 [00:00<00:02,  3.60it/s, Loss=0.229]
+Epoch 950/1001:  11%|█         | 1/9 [00:00<00:02,  3.60it/s, Loss=0.23] 
+Epoch 950/1001:  11%|█         | 1/9 [00:00<00:02,  3.60it/s, Loss=0.226]
+Epoch 950/1001:  11%|█         | 1/9 [00:00<00:02,  3.60it/s, Loss=0.237]
+Epoch 950/1001:  11%|█         | 1/9 [00:00<00:02,  3.60it/s, Loss=0.234]
+Epoch 950/1001:  11%|█         | 1/9 [00:00<00:02,  3.60it/s, Loss=0.234]
+Epoch 950/1001:  11%|█         | 1/9 [00:00<00:02,  3.60it/s, Loss=0.233]
+Epoch 950/1001: 100%|██████████| 9/9 [00:00<00:00, 20.52it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 951/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 951/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 951/1001:  11%|█         | 1/9 [00:00<00:02,  2.69it/s, Loss=0.233]
+Epoch 951/1001:  11%|█         | 1/9 [00:00<00:02,  2.69it/s, Loss=0.228]
+Epoch 951/1001:  11%|█         | 1/9 [00:00<00:02,  2.69it/s, Loss=0.234]
+Epoch 951/1001:  11%|█         | 1/9 [00:00<00:02,  2.69it/s, Loss=0.232]
+Epoch 951/1001:  11%|█         | 1/9 [00:00<00:02,  2.69it/s, Loss=0.23] 
+Epoch 951/1001:  11%|█         | 1/9 [00:00<00:02,  2.69it/s, Loss=0.229]
+Epoch 951/1001:  11%|█         | 1/9 [00:00<00:02,  2.69it/s, Loss=0.236]
+Epoch 951/1001:  11%|█         | 1/9 [00:00<00:02,  2.69it/s, Loss=0.23] 
+Epoch 951/1001:  11%|█         | 1/9 [00:00<00:02,  2.69it/s, Loss=0.226]
+Epoch 951/1001: 100%|██████████| 9/9 [00:00<00:00, 17.45it/s, Loss=0.226]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 952/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 952/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 952/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.229]
+Epoch 952/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.223]
+Epoch 952/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.234]
+Epoch 952/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.229]
+Epoch 952/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.225]
+Epoch 952/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.228]
+Epoch 952/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.225]
+Epoch 952/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.236]
+Epoch 952/1001:  11%|█         | 1/9 [00:00<00:02,  3.61it/s, Loss=0.229]
+Epoch 952/1001: 100%|██████████| 9/9 [00:00<00:00, 20.92it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 953/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 953/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 953/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.229]
+Epoch 953/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.228]
+Epoch 953/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.228]
+Epoch 953/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.231]
+Epoch 953/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.226]
+Epoch 953/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.231]
+Epoch 953/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.233]
+Epoch 953/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.236]
+Epoch 953/1001:  11%|█         | 1/9 [00:00<00:02,  2.88it/s, Loss=0.233]
+Epoch 953/1001: 100%|██████████| 9/9 [00:00<00:00, 18.53it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 954/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 954/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 954/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.229]
+Epoch 954/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.231]
+Epoch 954/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.233]
+Epoch 954/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.231]
+Epoch 954/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.235]
+Epoch 954/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.231]
+Epoch 954/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.227]
+Epoch 954/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.23] 
+Epoch 954/1001:  11%|█         | 1/9 [00:00<00:02,  3.16it/s, Loss=0.222]
+Epoch 954/1001: 100%|██████████| 9/9 [00:00<00:00, 19.47it/s, Loss=0.222]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 955/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 955/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 955/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.231]
+Epoch 955/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.232]
+Epoch 955/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.234]
+Epoch 955/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.236]
+Epoch 955/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.229]
+Epoch 955/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.234]
+Epoch 955/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.228]
+Epoch 955/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.231]
+Epoch 955/1001:  11%|█         | 1/9 [00:00<00:02,  3.48it/s, Loss=0.225]
+Epoch 955/1001: 100%|██████████| 9/9 [00:00<00:00, 21.19it/s, Loss=0.225]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 956/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 956/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 956/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.228]
+Epoch 956/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.229]
+Epoch 956/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.232]
+Epoch 956/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.229]
+Epoch 956/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.226]
+Epoch 956/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.23] 
+Epoch 956/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.236]
+Epoch 956/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.23] 
+Epoch 956/1001:  11%|█         | 1/9 [00:00<00:02,  3.88it/s, Loss=0.233]
+Epoch 956/1001: 100%|██████████| 9/9 [00:00<00:00, 21.65it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 957/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 957/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 957/1001:  11%|█         | 1/9 [00:00<00:02,  2.96it/s, Loss=0.232]
+Epoch 957/1001:  11%|█         | 1/9 [00:00<00:02,  2.96it/s, Loss=0.232]
+Epoch 957/1001:  11%|█         | 1/9 [00:00<00:02,  2.96it/s, Loss=0.232]
+Epoch 957/1001:  11%|█         | 1/9 [00:00<00:02,  2.96it/s, Loss=0.23] 
+Epoch 957/1001:  11%|█         | 1/9 [00:00<00:02,  2.96it/s, Loss=0.223]
+Epoch 957/1001:  11%|█         | 1/9 [00:00<00:02,  2.96it/s, Loss=0.233]
+Epoch 957/1001:  11%|█         | 1/9 [00:00<00:02,  2.96it/s, Loss=0.229]
+Epoch 957/1001:  11%|█         | 1/9 [00:00<00:02,  2.96it/s, Loss=0.233]
+Epoch 957/1001:  11%|█         | 1/9 [00:00<00:02,  2.96it/s, Loss=0.236]
+Epoch 957/1001: 100%|██████████| 9/9 [00:00<00:00, 18.65it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 958/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 958/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 958/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.234]
+Epoch 958/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.237]
+Epoch 958/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.235]
+Epoch 958/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.228]
+Epoch 958/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.235]
+Epoch 958/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.229]
+Epoch 958/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.234]
+Epoch 958/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.232]
+Epoch 958/1001:  11%|█         | 1/9 [00:00<00:01,  4.09it/s, Loss=0.233]
+Epoch 958/1001: 100%|██████████| 9/9 [00:00<00:00, 22.16it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 959/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 959/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 959/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.229]
+Epoch 959/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.226]
+Epoch 959/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.224]
+Epoch 959/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.228]
+Epoch 959/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.225]
+Epoch 959/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.234]
+Epoch 959/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.231]
+Epoch 959/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.228]
+Epoch 959/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.38it/s, Loss=0.228]
+Epoch 959/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.38it/s, Loss=0.229]
+Epoch 959/1001: 100%|██████████| 9/9 [00:00<00:00, 19.39it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 960/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 960/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 960/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.233]
+Epoch 960/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.23] 
+Epoch 960/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.235]
+Epoch 960/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.234]
+Epoch 960/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.229]
+Epoch 960/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.234]
+Epoch 960/1001:  11%|█         | 1/9 [00:00<00:02,  3.72it/s, Loss=0.228]
+Epoch 960/1001:  78%|███████▊  | 7/9 [00:00<00:00, 23.26it/s, Loss=0.228]
+Epoch 960/1001:  78%|███████▊  | 7/9 [00:00<00:00, 23.26it/s, Loss=0.23] 
+Epoch 960/1001:  78%|███████▊  | 7/9 [00:00<00:00, 23.26it/s, Loss=0.229]
+Epoch 960/1001: 100%|██████████| 9/9 [00:00<00:00, 19.46it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 961/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 961/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.225]
+Epoch 961/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.225]
+Epoch 961/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.228]
+Epoch 961/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.231]
+Epoch 961/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.224]
+Epoch 961/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.226]
+Epoch 961/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.229]
+Epoch 961/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.228]
+Epoch 961/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.226]
+Epoch 961/1001:  11%|█         | 1/9 [00:00<00:01,  4.16it/s, Loss=0.225]
+Epoch 961/1001: 100%|██████████| 9/9 [00:00<00:00, 32.11it/s, Loss=0.225]
+Epoch 961/1001: 100%|██████████| 9/9 [00:00<00:00, 22.20it/s, Loss=0.225]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 962/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 962/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 962/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.233]
+Epoch 962/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.232]
+Epoch 962/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.228]
+Epoch 962/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.228]
+Epoch 962/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.23] 
+Epoch 962/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.224]
+Epoch 962/1001:  11%|█         | 1/9 [00:00<00:02,  3.91it/s, Loss=0.234]
+Epoch 962/1001:  78%|███████▊  | 7/9 [00:00<00:00, 23.90it/s, Loss=0.234]
+Epoch 962/1001:  78%|███████▊  | 7/9 [00:00<00:00, 23.90it/s, Loss=0.23] 
+Epoch 962/1001:  78%|███████▊  | 7/9 [00:00<00:00, 23.90it/s, Loss=0.237]
+Epoch 962/1001: 100%|██████████| 9/9 [00:00<00:00, 20.61it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 963/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 963/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 963/1001:  11%|█         | 1/9 [00:00<00:01,  4.37it/s, Loss=0.234]
+Epoch 963/1001:  11%|█         | 1/9 [00:00<00:01,  4.37it/s, Loss=0.225]
+Epoch 963/1001:  11%|█         | 1/9 [00:00<00:01,  4.37it/s, Loss=0.232]
+Epoch 963/1001:  11%|█         | 1/9 [00:00<00:01,  4.37it/s, Loss=0.233]
+Epoch 963/1001:  11%|█         | 1/9 [00:00<00:01,  4.37it/s, Loss=0.236]
+Epoch 963/1001:  11%|█         | 1/9 [00:00<00:01,  4.37it/s, Loss=0.233]
+Epoch 963/1001:  11%|█         | 1/9 [00:00<00:01,  4.37it/s, Loss=0.23] 
+Epoch 963/1001:  78%|███████▊  | 7/9 [00:00<00:00, 24.98it/s, Loss=0.23]
+Epoch 963/1001:  78%|███████▊  | 7/9 [00:00<00:00, 24.98it/s, Loss=0.235]
+Epoch 963/1001:  78%|███████▊  | 7/9 [00:00<00:00, 24.98it/s, Loss=0.224]
+Epoch 963/1001: 100%|██████████| 9/9 [00:00<00:00, 20.76it/s, Loss=0.224]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 964/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 964/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 964/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.229]
+Epoch 964/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.229]
+Epoch 964/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.229]
+Epoch 964/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.227]
+Epoch 964/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.235]
+Epoch 964/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.23] 
+Epoch 964/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.236]
+Epoch 964/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.225]
+Epoch 964/1001:  11%|█         | 1/9 [00:00<00:01,  4.18it/s, Loss=0.236]
+Epoch 964/1001: 100%|██████████| 9/9 [00:00<00:00, 23.57it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 965/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 965/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 965/1001:  11%|█         | 1/9 [00:00<00:01,  5.21it/s, Loss=0.229]
+Epoch 965/1001:  11%|█         | 1/9 [00:00<00:01,  5.21it/s, Loss=0.229]
+Epoch 965/1001:  11%|█         | 1/9 [00:00<00:01,  5.21it/s, Loss=0.224]
+Epoch 965/1001:  11%|█         | 1/9 [00:00<00:01,  5.21it/s, Loss=0.228]
+Epoch 965/1001:  11%|█         | 1/9 [00:00<00:01,  5.21it/s, Loss=0.234]
+Epoch 965/1001:  11%|█         | 1/9 [00:00<00:01,  5.21it/s, Loss=0.229]
+Epoch 965/1001:  11%|█         | 1/9 [00:00<00:01,  5.21it/s, Loss=0.227]
+Epoch 965/1001:  11%|█         | 1/9 [00:00<00:01,  5.21it/s, Loss=0.236]
+Epoch 965/1001:  11%|█         | 1/9 [00:00<00:01,  5.21it/s, Loss=0.235]
+Epoch 965/1001: 100%|██████████| 9/9 [00:00<00:00, 27.80it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 966/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 966/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 966/1001:  11%|█         | 1/9 [00:00<00:01,  4.52it/s, Loss=0.229]
+Epoch 966/1001:  11%|█         | 1/9 [00:00<00:01,  4.52it/s, Loss=0.229]
+Epoch 966/1001:  11%|█         | 1/9 [00:00<00:01,  4.52it/s, Loss=0.228]
+Epoch 966/1001:  11%|█         | 1/9 [00:00<00:01,  4.52it/s, Loss=0.233]
+Epoch 966/1001:  11%|█         | 1/9 [00:00<00:01,  4.52it/s, Loss=0.231]
+Epoch 966/1001:  11%|█         | 1/9 [00:00<00:01,  4.52it/s, Loss=0.233]
+Epoch 966/1001:  11%|█         | 1/9 [00:00<00:01,  4.52it/s, Loss=0.232]
+Epoch 966/1001:  11%|█         | 1/9 [00:00<00:01,  4.52it/s, Loss=0.228]
+Epoch 966/1001:  11%|█         | 1/9 [00:00<00:01,  4.52it/s, Loss=0.232]
+Epoch 966/1001: 100%|██████████| 9/9 [00:00<00:00, 25.13it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 967/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 967/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 967/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.231]
+Epoch 967/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.224]
+Epoch 967/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.227]
+Epoch 967/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.226]
+Epoch 967/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.223]
+Epoch 967/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.225]
+Epoch 967/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.233]
+Epoch 967/1001:  11%|█         | 1/9 [00:00<00:02,  3.63it/s, Loss=0.234]
+Epoch 967/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.80it/s, Loss=0.234]
+Epoch 967/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.80it/s, Loss=0.225]
+Epoch 967/1001: 100%|██████████| 9/9 [00:00<00:00, 19.60it/s, Loss=0.225]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 968/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 968/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.223]
+Epoch 968/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.223]
+Epoch 968/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.23] 
+Epoch 968/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.234]
+Epoch 968/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.231]
+Epoch 968/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.227]
+Epoch 968/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.225]
+Epoch 968/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.229]
+Epoch 968/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.232]
+Epoch 968/1001:  11%|█         | 1/9 [00:00<00:02,  3.79it/s, Loss=0.226]
+Epoch 968/1001: 100%|██████████| 9/9 [00:00<00:00, 24.29it/s, Loss=0.226]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 969/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 969/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 969/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.23]
+Epoch 969/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.231]
+Epoch 969/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.231]
+Epoch 969/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.237]
+Epoch 969/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.227]
+Epoch 969/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.227]
+Epoch 969/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.23] 
+Epoch 969/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.232]
+Epoch 969/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.228]
+Epoch 969/1001: 100%|██████████| 9/9 [00:00<00:00, 24.85it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 970/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 970/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 970/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.229]
+Epoch 970/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.224]
+Epoch 970/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.23] 
+Epoch 970/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.225]
+Epoch 970/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.229]
+Epoch 970/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.231]
+Epoch 970/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.232]
+Epoch 970/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.23] 
+Epoch 970/1001:  11%|█         | 1/9 [00:00<00:02,  3.68it/s, Loss=0.228]
+Epoch 970/1001: 100%|██████████| 9/9 [00:00<00:00, 22.43it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 971/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 971/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 971/1001:  11%|█         | 1/9 [00:00<00:02,  3.07it/s, Loss=0.233]
+Epoch 971/1001:  11%|█         | 1/9 [00:00<00:02,  3.07it/s, Loss=0.235]
+Epoch 971/1001:  11%|█         | 1/9 [00:00<00:02,  3.07it/s, Loss=0.228]
+Epoch 971/1001:  11%|█         | 1/9 [00:00<00:02,  3.07it/s, Loss=0.228]
+Epoch 971/1001:  11%|█         | 1/9 [00:00<00:02,  3.07it/s, Loss=0.228]
+Epoch 971/1001:  11%|█         | 1/9 [00:00<00:02,  3.07it/s, Loss=0.233]
+Epoch 971/1001:  11%|█         | 1/9 [00:00<00:02,  3.07it/s, Loss=0.224]
+Epoch 971/1001:  78%|███████▊  | 7/9 [00:00<00:00, 19.99it/s, Loss=0.224]
+Epoch 971/1001:  78%|███████▊  | 7/9 [00:00<00:00, 19.99it/s, Loss=0.231]
+Epoch 971/1001:  78%|███████▊  | 7/9 [00:00<00:00, 19.99it/s, Loss=0.232]
+Epoch 971/1001: 100%|██████████| 9/9 [00:00<00:00, 17.13it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 972/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 972/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 972/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.229]
+Epoch 972/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.23] 
+Epoch 972/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.228]
+Epoch 972/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.235]
+Epoch 972/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.232]
+Epoch 972/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.232]
+Epoch 972/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.234]
+Epoch 972/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.225]
+Epoch 972/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.07it/s, Loss=0.225]
+Epoch 972/1001:  89%|████████▉ | 8/9 [00:00<00:00, 24.07it/s, Loss=0.226]
+Epoch 972/1001: 100%|██████████| 9/9 [00:00<00:00, 18.80it/s, Loss=0.226]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 973/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 973/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 973/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.23]
+Epoch 973/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.234]
+Epoch 973/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.23] 
+Epoch 973/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.228]
+Epoch 973/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.23] 
+Epoch 973/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.231]
+Epoch 973/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.23] 
+Epoch 973/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.231]
+Epoch 973/1001:  11%|█         | 1/9 [00:00<00:02,  3.00it/s, Loss=0.222]
+Epoch 973/1001: 100%|██████████| 9/9 [00:00<00:00, 19.03it/s, Loss=0.222]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 974/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 974/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.226]
+Epoch 974/1001:  11%|█         | 1/9 [00:00<00:01,  4.24it/s, Loss=0.226]
+Epoch 974/1001:  11%|█         | 1/9 [00:00<00:01,  4.24it/s, Loss=0.226]
+Epoch 974/1001:  11%|█         | 1/9 [00:00<00:01,  4.24it/s, Loss=0.226]
+Epoch 974/1001:  11%|█         | 1/9 [00:00<00:01,  4.24it/s, Loss=0.232]
+Epoch 974/1001:  11%|█         | 1/9 [00:00<00:01,  4.24it/s, Loss=0.23] 
+Epoch 974/1001:  11%|█         | 1/9 [00:00<00:01,  4.24it/s, Loss=0.227]
+Epoch 974/1001:  11%|█         | 1/9 [00:00<00:01,  4.24it/s, Loss=0.233]
+Epoch 974/1001:  11%|█         | 1/9 [00:00<00:01,  4.24it/s, Loss=0.231]
+Epoch 974/1001:  11%|█         | 1/9 [00:00<00:01,  4.24it/s, Loss=0.235]
+Epoch 974/1001: 100%|██████████| 9/9 [00:00<00:00, 32.01it/s, Loss=0.235]
+Epoch 974/1001: 100%|██████████| 9/9 [00:00<00:00, 23.22it/s, Loss=0.235]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 975/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 975/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 975/1001:  11%|█         | 1/9 [00:00<00:01,  5.22it/s, Loss=0.231]
+Epoch 975/1001:  11%|█         | 1/9 [00:00<00:01,  5.22it/s, Loss=0.229]
+Epoch 975/1001:  11%|█         | 1/9 [00:00<00:01,  5.22it/s, Loss=0.226]
+Epoch 975/1001:  11%|█         | 1/9 [00:00<00:01,  5.22it/s, Loss=0.227]
+Epoch 975/1001:  11%|█         | 1/9 [00:00<00:01,  5.22it/s, Loss=0.237]
+Epoch 975/1001:  11%|█         | 1/9 [00:00<00:01,  5.22it/s, Loss=0.227]
+Epoch 975/1001:  11%|█         | 1/9 [00:00<00:01,  5.22it/s, Loss=0.225]
+Epoch 975/1001:  11%|█         | 1/9 [00:00<00:01,  5.22it/s, Loss=0.232]
+Epoch 975/1001:  11%|█         | 1/9 [00:00<00:01,  5.22it/s, Loss=0.237]
+Epoch 975/1001: 100%|██████████| 9/9 [00:00<00:00, 26.40it/s, Loss=0.237]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 976/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 976/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 976/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.238]
+Epoch 976/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.228]
+Epoch 976/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.227]
+Epoch 976/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.233]
+Epoch 976/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.234]
+Epoch 976/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.229]
+Epoch 976/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.227]
+Epoch 976/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.23] 
+Epoch 976/1001:  11%|█         | 1/9 [00:00<00:01,  4.17it/s, Loss=0.229]
+Epoch 976/1001: 100%|██████████| 9/9 [00:00<00:00, 24.71it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 977/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 977/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 977/1001:  11%|█         | 1/9 [00:00<00:01,  5.72it/s, Loss=0.23]
+Epoch 977/1001:  11%|█         | 1/9 [00:00<00:01,  5.72it/s, Loss=0.232]
+Epoch 977/1001:  11%|█         | 1/9 [00:00<00:01,  5.72it/s, Loss=0.231]
+Epoch 977/1001:  11%|█         | 1/9 [00:00<00:01,  5.72it/s, Loss=0.23] 
+Epoch 977/1001:  11%|█         | 1/9 [00:00<00:01,  5.72it/s, Loss=0.233]
+Epoch 977/1001:  11%|█         | 1/9 [00:00<00:01,  5.72it/s, Loss=0.231]
+Epoch 977/1001:  11%|█         | 1/9 [00:00<00:01,  5.72it/s, Loss=0.226]
+Epoch 977/1001:  11%|█         | 1/9 [00:00<00:01,  5.72it/s, Loss=0.232]
+Epoch 977/1001:  11%|█         | 1/9 [00:00<00:01,  5.72it/s, Loss=0.231]
+Epoch 977/1001: 100%|██████████| 9/9 [00:00<00:00, 28.72it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 978/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 978/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 978/1001:  11%|█         | 1/9 [00:00<00:01,  4.98it/s, Loss=0.23]
+Epoch 978/1001:  11%|█         | 1/9 [00:00<00:01,  4.98it/s, Loss=0.226]
+Epoch 978/1001:  11%|█         | 1/9 [00:00<00:01,  4.98it/s, Loss=0.225]
+Epoch 978/1001:  11%|█         | 1/9 [00:00<00:01,  4.98it/s, Loss=0.23] 
+Epoch 978/1001:  11%|█         | 1/9 [00:00<00:01,  4.98it/s, Loss=0.232]
+Epoch 978/1001:  11%|█         | 1/9 [00:00<00:01,  4.98it/s, Loss=0.232]
+Epoch 978/1001:  11%|█         | 1/9 [00:00<00:01,  4.98it/s, Loss=0.226]
+Epoch 978/1001:  11%|█         | 1/9 [00:00<00:01,  4.98it/s, Loss=0.237]
+Epoch 978/1001:  89%|████████▉ | 8/9 [00:00<00:00, 30.65it/s, Loss=0.237]
+Epoch 978/1001:  89%|████████▉ | 8/9 [00:00<00:00, 30.65it/s, Loss=0.236]
+Epoch 978/1001: 100%|██████████| 9/9 [00:00<00:00, 22.55it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 979/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 979/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 979/1001:  11%|█         | 1/9 [00:00<00:01,  4.40it/s, Loss=0.233]
+Epoch 979/1001:  11%|█         | 1/9 [00:00<00:01,  4.40it/s, Loss=0.231]
+Epoch 979/1001:  11%|█         | 1/9 [00:00<00:01,  4.40it/s, Loss=0.228]
+Epoch 979/1001:  11%|█         | 1/9 [00:00<00:01,  4.40it/s, Loss=0.232]
+Epoch 979/1001:  11%|█         | 1/9 [00:00<00:01,  4.40it/s, Loss=0.23] 
+Epoch 979/1001:  11%|█         | 1/9 [00:00<00:01,  4.40it/s, Loss=0.235]
+Epoch 979/1001:  11%|█         | 1/9 [00:00<00:01,  4.40it/s, Loss=0.23] 
+Epoch 979/1001:  11%|█         | 1/9 [00:00<00:01,  4.40it/s, Loss=0.229]
+Epoch 979/1001:  11%|█         | 1/9 [00:00<00:01,  4.40it/s, Loss=0.23] 
+Epoch 979/1001: 100%|██████████| 9/9 [00:00<00:00, 25.33it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 980/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 980/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 980/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.232]
+Epoch 980/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.23] 
+Epoch 980/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.231]
+Epoch 980/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.225]
+Epoch 980/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.227]
+Epoch 980/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.221]
+Epoch 980/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.23] 
+Epoch 980/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.227]
+Epoch 980/1001:  11%|█         | 1/9 [00:00<00:01,  4.81it/s, Loss=0.232]
+Epoch 980/1001: 100%|██████████| 9/9 [00:00<00:00, 26.03it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 981/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 981/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.225]
+Epoch 981/1001:  11%|█         | 1/9 [00:00<00:01,  5.44it/s, Loss=0.225]
+Epoch 981/1001:  11%|█         | 1/9 [00:00<00:01,  5.44it/s, Loss=0.23] 
+Epoch 981/1001:  11%|█         | 1/9 [00:00<00:01,  5.44it/s, Loss=0.235]
+Epoch 981/1001:  11%|█         | 1/9 [00:00<00:01,  5.44it/s, Loss=0.225]
+Epoch 981/1001:  11%|█         | 1/9 [00:00<00:01,  5.44it/s, Loss=0.236]
+Epoch 981/1001:  11%|█         | 1/9 [00:00<00:01,  5.44it/s, Loss=0.229]
+Epoch 981/1001:  11%|█         | 1/9 [00:00<00:01,  5.44it/s, Loss=0.226]
+Epoch 981/1001:  11%|█         | 1/9 [00:00<00:01,  5.44it/s, Loss=0.23] 
+Epoch 981/1001:  89%|████████▉ | 8/9 [00:00<00:00, 32.87it/s, Loss=0.23]
+Epoch 981/1001:  89%|████████▉ | 8/9 [00:00<00:00, 32.87it/s, Loss=0.23]
+Epoch 981/1001: 100%|██████████| 9/9 [00:00<00:00, 26.66it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 982/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 982/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 982/1001:  11%|█         | 1/9 [00:00<00:01,  6.77it/s, Loss=0.232]
+Epoch 982/1001:  11%|█         | 1/9 [00:00<00:01,  6.77it/s, Loss=0.228]
+Epoch 982/1001:  11%|█         | 1/9 [00:00<00:01,  6.77it/s, Loss=0.229]
+Epoch 982/1001:  11%|█         | 1/9 [00:00<00:01,  6.77it/s, Loss=0.226]
+Epoch 982/1001:  11%|█         | 1/9 [00:00<00:01,  6.77it/s, Loss=0.232]
+Epoch 982/1001:  11%|█         | 1/9 [00:00<00:01,  6.77it/s, Loss=0.235]
+Epoch 982/1001:  11%|█         | 1/9 [00:00<00:01,  6.77it/s, Loss=0.229]
+Epoch 982/1001:  11%|█         | 1/9 [00:00<00:01,  6.77it/s, Loss=0.237]
+Epoch 982/1001:  11%|█         | 1/9 [00:00<00:01,  6.77it/s, Loss=0.236]
+Epoch 982/1001: 100%|██████████| 9/9 [00:00<00:00, 33.03it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 983/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 983/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.227]
+Epoch 983/1001:  11%|█         | 1/9 [00:00<00:01,  6.69it/s, Loss=0.227]
+Epoch 983/1001:  11%|█         | 1/9 [00:00<00:01,  6.69it/s, Loss=0.232]
+Epoch 983/1001:  11%|█         | 1/9 [00:00<00:01,  6.69it/s, Loss=0.231]
+Epoch 983/1001:  11%|█         | 1/9 [00:00<00:01,  6.69it/s, Loss=0.233]
+Epoch 983/1001:  11%|█         | 1/9 [00:00<00:01,  6.69it/s, Loss=0.224]
+Epoch 983/1001:  11%|█         | 1/9 [00:00<00:01,  6.69it/s, Loss=0.226]
+Epoch 983/1001:  11%|█         | 1/9 [00:00<00:01,  6.69it/s, Loss=0.227]
+Epoch 983/1001:  11%|█         | 1/9 [00:00<00:01,  6.69it/s, Loss=0.235]
+Epoch 983/1001:  11%|█         | 1/9 [00:00<00:01,  6.69it/s, Loss=0.236]
+Epoch 983/1001: 100%|██████████| 9/9 [00:00<00:00, 33.83it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 984/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 984/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.238]
+Epoch 984/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.238]
+Epoch 984/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.231]
+Epoch 984/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.238]
+Epoch 984/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.228]
+Epoch 984/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.235]
+Epoch 984/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.236]
+Epoch 984/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.231]
+Epoch 984/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.233]
+Epoch 984/1001:  11%|█         | 1/9 [00:00<00:01,  4.66it/s, Loss=0.226]
+Epoch 984/1001: 100%|██████████| 9/9 [00:00<00:00, 26.05it/s, Loss=0.226]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 985/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 985/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 985/1001:  11%|█         | 1/9 [00:00<00:01,  6.14it/s, Loss=0.233]
+Epoch 985/1001:  11%|█         | 1/9 [00:00<00:01,  6.14it/s, Loss=0.233]
+Epoch 985/1001:  11%|█         | 1/9 [00:00<00:01,  6.14it/s, Loss=0.229]
+Epoch 985/1001:  11%|█         | 1/9 [00:00<00:01,  6.14it/s, Loss=0.228]
+Epoch 985/1001:  11%|█         | 1/9 [00:00<00:01,  6.14it/s, Loss=0.229]
+Epoch 985/1001:  11%|█         | 1/9 [00:00<00:01,  6.14it/s, Loss=0.23] 
+Epoch 985/1001:  11%|█         | 1/9 [00:00<00:01,  6.14it/s, Loss=0.234]
+Epoch 985/1001:  11%|█         | 1/9 [00:00<00:01,  6.14it/s, Loss=0.224]
+Epoch 985/1001:  89%|████████▉ | 8/9 [00:00<00:00, 34.98it/s, Loss=0.224]
+Epoch 985/1001:  89%|████████▉ | 8/9 [00:00<00:00, 34.98it/s, Loss=0.236]
+Epoch 985/1001: 100%|██████████| 9/9 [00:00<00:00, 28.11it/s, Loss=0.236]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 986/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 986/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 986/1001:  11%|█         | 1/9 [00:00<00:01,  5.52it/s, Loss=0.234]
+Epoch 986/1001:  11%|█         | 1/9 [00:00<00:01,  5.52it/s, Loss=0.229]
+Epoch 986/1001:  11%|█         | 1/9 [00:00<00:01,  5.52it/s, Loss=0.227]
+Epoch 986/1001:  11%|█         | 1/9 [00:00<00:01,  5.52it/s, Loss=0.229]
+Epoch 986/1001:  11%|█         | 1/9 [00:00<00:01,  5.52it/s, Loss=0.227]
+Epoch 986/1001:  11%|█         | 1/9 [00:00<00:01,  5.52it/s, Loss=0.228]
+Epoch 986/1001:  11%|█         | 1/9 [00:00<00:01,  5.52it/s, Loss=0.232]
+Epoch 986/1001:  11%|█         | 1/9 [00:00<00:01,  5.52it/s, Loss=0.225]
+Epoch 986/1001:  11%|█         | 1/9 [00:00<00:01,  5.52it/s, Loss=0.224]
+Epoch 986/1001: 100%|██████████| 9/9 [00:00<00:00, 26.03it/s, Loss=0.224]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 987/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 987/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 987/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.23]
+Epoch 987/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.228]
+Epoch 987/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.229]
+Epoch 987/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.234]
+Epoch 987/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.229]
+Epoch 987/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.228]
+Epoch 987/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.234]
+Epoch 987/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.232]
+Epoch 987/1001:  11%|█         | 1/9 [00:00<00:02,  3.39it/s, Loss=0.228]
+Epoch 987/1001: 100%|██████████| 9/9 [00:00<00:00, 21.31it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 988/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 988/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.225]
+Epoch 988/1001:  11%|█         | 1/9 [00:00<00:01,  5.47it/s, Loss=0.225]
+Epoch 988/1001:  11%|█         | 1/9 [00:00<00:01,  5.47it/s, Loss=0.225]
+Epoch 988/1001:  11%|█         | 1/9 [00:00<00:01,  5.47it/s, Loss=0.232]
+Epoch 988/1001:  11%|█         | 1/9 [00:00<00:01,  5.47it/s, Loss=0.236]
+Epoch 988/1001:  11%|█         | 1/9 [00:00<00:01,  5.47it/s, Loss=0.23] 
+Epoch 988/1001:  11%|█         | 1/9 [00:00<00:01,  5.47it/s, Loss=0.223]
+Epoch 988/1001:  11%|█         | 1/9 [00:00<00:01,  5.47it/s, Loss=0.228]
+Epoch 988/1001:  11%|█         | 1/9 [00:00<00:01,  5.47it/s, Loss=0.226]
+Epoch 988/1001:  11%|█         | 1/9 [00:00<00:01,  5.47it/s, Loss=0.232]
+Epoch 988/1001: 100%|██████████| 9/9 [00:00<00:00, 30.15it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 989/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 989/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.231]
+Epoch 989/1001:  11%|█         | 1/9 [00:00<00:01,  5.05it/s, Loss=0.231]
+Epoch 989/1001:  11%|█         | 1/9 [00:00<00:01,  5.05it/s, Loss=0.232]
+Epoch 989/1001:  11%|█         | 1/9 [00:00<00:01,  5.05it/s, Loss=0.231]
+Epoch 989/1001:  11%|█         | 1/9 [00:00<00:01,  5.05it/s, Loss=0.225]
+Epoch 989/1001:  11%|█         | 1/9 [00:00<00:01,  5.05it/s, Loss=0.235]
+Epoch 989/1001:  11%|█         | 1/9 [00:00<00:01,  5.05it/s, Loss=0.234]
+Epoch 989/1001:  11%|█         | 1/9 [00:00<00:01,  5.05it/s, Loss=0.229]
+Epoch 989/1001:  11%|█         | 1/9 [00:00<00:01,  5.05it/s, Loss=0.225]
+Epoch 989/1001:  89%|████████▉ | 8/9 [00:00<00:00, 31.51it/s, Loss=0.225]
+Epoch 989/1001:  89%|████████▉ | 8/9 [00:00<00:00, 31.51it/s, Loss=0.232]
+Epoch 989/1001: 100%|██████████| 9/9 [00:00<00:00, 24.30it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 990/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 990/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.226]
+Epoch 990/1001:  11%|█         | 1/9 [00:00<00:01,  4.70it/s, Loss=0.226]
+Epoch 990/1001:  11%|█         | 1/9 [00:00<00:01,  4.70it/s, Loss=0.224]
+Epoch 990/1001:  11%|█         | 1/9 [00:00<00:01,  4.70it/s, Loss=0.229]
+Epoch 990/1001:  11%|█         | 1/9 [00:00<00:01,  4.70it/s, Loss=0.23] 
+Epoch 990/1001:  11%|█         | 1/9 [00:00<00:01,  4.70it/s, Loss=0.228]
+Epoch 990/1001:  11%|█         | 1/9 [00:00<00:01,  4.70it/s, Loss=0.227]
+Epoch 990/1001:  11%|█         | 1/9 [00:00<00:01,  4.70it/s, Loss=0.232]
+Epoch 990/1001:  11%|█         | 1/9 [00:00<00:01,  4.70it/s, Loss=0.23] 
+Epoch 990/1001:  11%|█         | 1/9 [00:00<00:01,  4.70it/s, Loss=0.234]
+Epoch 990/1001: 100%|██████████| 9/9 [00:00<00:00, 23.53it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 991/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 991/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 991/1001:  11%|█         | 1/9 [00:00<00:01,  4.71it/s, Loss=0.235]
+Epoch 991/1001:  11%|█         | 1/9 [00:00<00:01,  4.71it/s, Loss=0.228]
+Epoch 991/1001:  11%|█         | 1/9 [00:00<00:01,  4.71it/s, Loss=0.229]
+Epoch 991/1001:  11%|█         | 1/9 [00:00<00:01,  4.71it/s, Loss=0.232]
+Epoch 991/1001:  11%|█         | 1/9 [00:00<00:01,  4.71it/s, Loss=0.228]
+Epoch 991/1001:  11%|█         | 1/9 [00:00<00:01,  4.71it/s, Loss=0.232]
+Epoch 991/1001:  11%|█         | 1/9 [00:00<00:01,  4.71it/s, Loss=0.229]
+Epoch 991/1001:  11%|█         | 1/9 [00:00<00:01,  4.71it/s, Loss=0.226]
+Epoch 991/1001:  11%|█         | 1/9 [00:00<00:01,  4.71it/s, Loss=0.233]
+Epoch 991/1001: 100%|██████████| 9/9 [00:00<00:00, 24.96it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 992/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 992/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.23]
+Epoch 992/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.23]
+Epoch 992/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.231]
+Epoch 992/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.23] 
+Epoch 992/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.229]
+Epoch 992/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.234]
+Epoch 992/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.231]
+Epoch 992/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.234]
+Epoch 992/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.232]
+Epoch 992/1001:  11%|█         | 1/9 [00:00<00:01,  4.33it/s, Loss=0.234]
+Epoch 992/1001: 100%|██████████| 9/9 [00:00<00:00, 25.62it/s, Loss=0.234]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 993/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 993/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 993/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.228]
+Epoch 993/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.228]
+Epoch 993/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.231]
+Epoch 993/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.23] 
+Epoch 993/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.231]
+Epoch 993/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.234]
+Epoch 993/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.235]
+Epoch 993/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.231]
+Epoch 993/1001:  11%|█         | 1/9 [00:00<00:01,  4.03it/s, Loss=0.228]
+Epoch 993/1001: 100%|██████████| 9/9 [00:00<00:00, 23.07it/s, Loss=0.228]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 994/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 994/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.229]
+Epoch 994/1001:  11%|█         | 1/9 [00:00<00:01,  5.80it/s, Loss=0.229]
+Epoch 994/1001:  11%|█         | 1/9 [00:00<00:01,  5.80it/s, Loss=0.228]
+Epoch 994/1001:  11%|█         | 1/9 [00:00<00:01,  5.80it/s, Loss=0.233]
+Epoch 994/1001:  11%|█         | 1/9 [00:00<00:01,  5.80it/s, Loss=0.23] 
+Epoch 994/1001:  11%|█         | 1/9 [00:00<00:01,  5.80it/s, Loss=0.229]
+Epoch 994/1001:  11%|█         | 1/9 [00:00<00:01,  5.80it/s, Loss=0.227]
+Epoch 994/1001:  11%|█         | 1/9 [00:00<00:01,  5.80it/s, Loss=0.228]
+Epoch 994/1001:  11%|█         | 1/9 [00:00<00:01,  5.80it/s, Loss=0.23] 
+Epoch 994/1001:  11%|█         | 1/9 [00:00<00:01,  5.80it/s, Loss=0.231]
+Epoch 994/1001: 100%|██████████| 9/9 [00:00<00:00, 30.11it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 995/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 995/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 995/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.228]
+Epoch 995/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.223]
+Epoch 995/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.226]
+Epoch 995/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.232]
+Epoch 995/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.23] 
+Epoch 995/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.224]
+Epoch 995/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.233]
+Epoch 995/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.223]
+Epoch 995/1001:  11%|█         | 1/9 [00:00<00:02,  3.53it/s, Loss=0.229]
+Epoch 995/1001: 100%|██████████| 9/9 [00:00<00:00, 21.47it/s, Loss=0.229]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 996/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 996/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.232]
+Epoch 996/1001:  11%|█         | 1/9 [00:00<00:01,  4.56it/s, Loss=0.232]
+Epoch 996/1001:  11%|█         | 1/9 [00:00<00:01,  4.56it/s, Loss=0.225]
+Epoch 996/1001:  11%|█         | 1/9 [00:00<00:01,  4.56it/s, Loss=0.228]
+Epoch 996/1001:  11%|█         | 1/9 [00:00<00:01,  4.56it/s, Loss=0.235]
+Epoch 996/1001:  11%|█         | 1/9 [00:00<00:01,  4.56it/s, Loss=0.232]
+Epoch 996/1001:  11%|█         | 1/9 [00:00<00:01,  4.56it/s, Loss=0.228]
+Epoch 996/1001:  11%|█         | 1/9 [00:00<00:01,  4.56it/s, Loss=0.229]
+Epoch 996/1001:  11%|█         | 1/9 [00:00<00:01,  4.56it/s, Loss=0.227]
+Epoch 996/1001:  11%|█         | 1/9 [00:00<00:01,  4.56it/s, Loss=0.232]
+Epoch 996/1001: 100%|██████████| 9/9 [00:00<00:00, 25.99it/s, Loss=0.232]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 997/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 997/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.228]
+Epoch 997/1001:  11%|█         | 1/9 [00:00<00:01,  6.05it/s, Loss=0.228]
+Epoch 997/1001:  11%|█         | 1/9 [00:00<00:01,  6.05it/s, Loss=0.229]
+Epoch 997/1001:  11%|█         | 1/9 [00:00<00:01,  6.05it/s, Loss=0.225]
+Epoch 997/1001:  11%|█         | 1/9 [00:00<00:01,  6.05it/s, Loss=0.226]
+Epoch 997/1001:  11%|█         | 1/9 [00:00<00:01,  6.05it/s, Loss=0.231]
+Epoch 997/1001:  11%|█         | 1/9 [00:00<00:01,  6.05it/s, Loss=0.228]
+Epoch 997/1001:  11%|█         | 1/9 [00:00<00:01,  6.05it/s, Loss=0.229]
+Epoch 997/1001:  11%|█         | 1/9 [00:00<00:01,  6.05it/s, Loss=0.227]
+Epoch 997/1001:  89%|████████▉ | 8/9 [00:00<00:00, 33.94it/s, Loss=0.227]
+Epoch 997/1001:  89%|████████▉ | 8/9 [00:00<00:00, 33.94it/s, Loss=0.233]
+Epoch 997/1001: 100%|██████████| 9/9 [00:00<00:00, 25.77it/s, Loss=0.233]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 998/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 998/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 998/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.234]
+Epoch 998/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.228]
+Epoch 998/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.234]
+Epoch 998/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.232]
+Epoch 998/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.23] 
+Epoch 998/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.23]
+Epoch 998/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.227]
+Epoch 998/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.227]
+Epoch 998/1001:  11%|█         | 1/9 [00:00<00:02,  3.58it/s, Loss=0.23] 
+Epoch 998/1001: 100%|██████████| 9/9 [00:00<00:00, 21.78it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 999/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 999/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.234]
+Epoch 999/1001:  11%|█         | 1/9 [00:00<00:01,  4.91it/s, Loss=0.234]
+Epoch 999/1001:  11%|█         | 1/9 [00:00<00:01,  4.91it/s, Loss=0.227]
+Epoch 999/1001:  11%|█         | 1/9 [00:00<00:01,  4.91it/s, Loss=0.23] 
+Epoch 999/1001:  11%|█         | 1/9 [00:00<00:01,  4.91it/s, Loss=0.222]
+Epoch 999/1001:  11%|█         | 1/9 [00:00<00:01,  4.91it/s, Loss=0.229]
+Epoch 999/1001:  11%|█         | 1/9 [00:00<00:01,  4.91it/s, Loss=0.232]
+Epoch 999/1001:  11%|█         | 1/9 [00:00<00:01,  4.91it/s, Loss=0.223]
+Epoch 999/1001:  11%|█         | 1/9 [00:00<00:01,  4.91it/s, Loss=0.229]
+Epoch 999/1001:  89%|████████▉ | 8/9 [00:00<00:00, 30.79it/s, Loss=0.229]
+Epoch 999/1001:  89%|████████▉ | 8/9 [00:00<00:00, 30.79it/s, Loss=0.231]
+Epoch 999/1001: 100%|██████████| 9/9 [00:00<00:00, 23.26it/s, Loss=0.231]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 1000/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 1000/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.233]
+Epoch 1000/1001:  11%|█         | 1/9 [00:00<00:01,  4.53it/s, Loss=0.233]
+Epoch 1000/1001:  11%|█         | 1/9 [00:00<00:01,  4.53it/s, Loss=0.228]
+Epoch 1000/1001:  11%|█         | 1/9 [00:00<00:01,  4.53it/s, Loss=0.234]
+Epoch 1000/1001:  11%|█         | 1/9 [00:00<00:01,  4.53it/s, Loss=0.233]
+Epoch 1000/1001:  11%|█         | 1/9 [00:00<00:01,  4.53it/s, Loss=0.232]
+Epoch 1000/1001:  11%|█         | 1/9 [00:00<00:01,  4.53it/s, Loss=0.229]
+Epoch 1000/1001:  11%|█         | 1/9 [00:00<00:01,  4.53it/s, Loss=0.227]
+Epoch 1000/1001:  11%|█         | 1/9 [00:00<00:01,  4.53it/s, Loss=0.228]
+Epoch 1000/1001:  11%|█         | 1/9 [00:00<00:01,  4.53it/s, Loss=0.23] 
+Epoch 1000/1001: 100%|██████████| 9/9 [00:00<00:00, 27.26it/s, Loss=0.23]
+
+  0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 1001/1001:   0%|          | 0/9 [00:00<?, ?it/s]
+Epoch 1001/1001:   0%|          | 0/9 [00:00<?, ?it/s, Loss=0.235]
+Epoch 1001/1001:  11%|█         | 1/9 [00:00<00:01,  4.21it/s, Loss=0.235]
+Epoch 1001/1001:  11%|█         | 1/9 [00:00<00:01,  4.21it/s, Loss=0.235]
+Epoch 1001/1001:  11%|█         | 1/9 [00:00<00:01,  4.21it/s, Loss=0.234]
+Epoch 1001/1001:  11%|█         | 1/9 [00:00<00:01,  4.21it/s, Loss=0.229]
+Epoch 1001/1001:  11%|█         | 1/9 [00:00<00:01,  4.21it/s, Loss=0.233]
+Epoch 1001/1001:  11%|█         | 1/9 [00:00<00:01,  4.21it/s, Loss=0.224]
+Epoch 1001/1001:  11%|█         | 1/9 [00:00<00:01,  4.21it/s, Loss=0.235]
+Epoch 1001/1001:  11%|█         | 1/9 [00:00<00:01,  4.21it/s, Loss=0.232]
+Epoch 1001/1001:  89%|████████▉ | 8/9 [00:00<00:00, 27.58it/s, Loss=0.232]
+Epoch 1001/1001:  89%|████████▉ | 8/9 [00:00<00:00, 27.58it/s, Loss=0.232]
+Epoch 1001/1001: 100%|██████████| 9/9 [00:00<00:00, 21.76it/s, Loss=0.232]
+Time:  411.7346053123474
+[TabSyn] Training complete (VAE + Diffusion)