End of training

all_results.json

@@ -0,0 +1,16 @@
+{
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+    "eval_combined_score": 0.8909000116717234,
+    "eval_loss": 0.4913853406906128,
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+    "eval_spearmanr": 0.8888103154344065,
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+    "train_loss": 0.529659177992079,
+    "train_runtime": 599.6484,
+    "train_samples": 5749,
+    "train_samples_per_second": 47.936,
+    "train_steps_per_second": 1.501
+}

eval_results.json

@@ -0,0 +1,11 @@
+{
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+    "eval_combined_score": 0.8909000116717234,
+    "eval_loss": 0.4913853406906128,
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+    "eval_samples_per_second": 494.316,
+    "eval_spearmanr": 0.8888103154344065,
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+}

train_results.json

@@ -0,0 +1,8 @@
+{
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+    "train_loss": 0.529659177992079,
+    "train_runtime": 599.6484,
+    "train_samples": 5749,
+    "train_samples_per_second": 47.936,
+    "train_steps_per_second": 1.501
+}

trainer_state.json

@@ -0,0 +1,31 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 5.0,
+  "global_step": 900,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "learning_rate": 8.888888888888888e-06,
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+    {
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+  ],
+  "max_steps": 900,
+  "num_train_epochs": 5,
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+  "trial_name": null,
+  "trial_params": null
+}