End of training

all_results.json

@@ -0,0 +1,16 @@
+{
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+    "eval_combined_score": 0.8402670278637772,
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+    "eval_samples_per_second": 359.687,
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+    "train_loss": 0.38103332685387653,
+    "train_runtime": 244.836,
+    "train_samples": 3668,
+    "train_samples_per_second": 74.907,
+    "train_steps_per_second": 2.349
+}

eval_results.json

@@ -0,0 +1,11 @@
+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.8088235294117647,
+    "eval_combined_score": 0.8402670278637772,
+    "eval_f1": 0.8717105263157895,
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+    "eval_runtime": 1.1343,
+    "eval_samples": 408,
+    "eval_samples_per_second": 359.687,
+    "eval_steps_per_second": 44.961
+}

train_results.json

@@ -0,0 +1,8 @@
+{
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+    "train_runtime": 244.836,
+    "train_samples": 3668,
+    "train_samples_per_second": 74.907,
+    "train_steps_per_second": 2.349
+}

trainer_state.json

@@ -0,0 +1,31 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 5.0,
+  "global_step": 575,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "learning_rate": 2.6086956521739132e-06,
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+    {
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+  ],
+  "max_steps": 575,
+  "num_train_epochs": 5,
+  "total_flos": 0.0,
+  "trial_name": null,
+  "trial_params": null
+}