End of training

README.md

@@ -2,6 +2,8 @@
 library_name: transformers
 base_model: andro-flock/b2-classification
 tags:
+- image-segmentation
+- vision
 - generated_from_trainer
 model-index:
 - name: b2-semantic-segment
@@ -13,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # b2-semantic-segment
 
-This model is a fine-tuned version of [andro-flock/b2-classification](https://huggingface.co/andro-flock/b2-classification) on an unknown dataset.
+This model is a fine-tuned version of [andro-flock/b2-classification](https://huggingface.co/andro-flock/b2-classification) on the andro-flock/semantic-segment2 dataset.
 
 ## Model description
 

all_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 666.6666666666666,
+    "total_flos": 1.4631512923711734e+18,
+    "train_loss": 0.037614585399627684,
+    "train_runtime": 4890.0384,
+    "train_samples_per_second": 3.272,
+    "train_steps_per_second": 0.409
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 666.6666666666666,
+    "total_flos": 1.4631512923711734e+18,
+    "train_loss": 0.037614585399627684,
+    "train_runtime": 4890.0384,
+    "train_samples_per_second": 3.272,
+    "train_steps_per_second": 0.409
+}

trainer_state.json

@@ -0,0 +1,71 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 666.6666666666666,
+  "eval_steps": 500,
+  "global_step": 2000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "grad_norm": 0.11445357650518417,
+      "learning_rate": 4.5025000000000003e-05,
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+      "grad_norm": 0.11178029328584671,
+      "learning_rate": 3.0050000000000002e-05,
+      "loss": 0.0311,
+      "step": 1000
+    },
+    {
+      "epoch": 500.0,
+      "grad_norm": 0.3114462196826935,
+      "learning_rate": 1.5075000000000002e-05,
+      "loss": 0.0251,
+      "step": 1500
+    },
+    {
+      "epoch": 666.6666666666666,
+      "grad_norm": 0.05932952091097832,
+      "learning_rate": 1e-07,
+      "loss": 0.0224,
+      "step": 2000
+    },
+    {
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+      "step": 2000,
+      "total_flos": 1.4631512923711734e+18,
+      "train_loss": 0.037614585399627684,
+      "train_runtime": 4890.0384,
+      "train_samples_per_second": 3.272,
+      "train_steps_per_second": 0.409
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 2000,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 667,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.4631512923711734e+18,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}