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trainer_state.json

@@ -2,9 +2,9 @@
   "best_global_step": null,
   "best_metric": null,
   "best_model_checkpoint": null,
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+  "epoch": 0.903954802259887,
   "eval_steps": 10,
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+  "global_step": 80,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -134,6 +134,48 @@
       "eval_samples_per_second": 4.392,
       "eval_steps_per_second": 1.098,
       "step": 60
+    },
+    {
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+      "epoch": 0.7909604519774012,
+      "grad_norm": 1.34375,
+      "learning_rate": 0.00012674418604651164,
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+      "mean_token_accuracy": 0.21339080817997455,
+      "num_tokens": 1181787.0,
+      "step": 70
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+      "eval_entropy": 6.870167553424835,
+      "eval_loss": 6.5776286125183105,
+      "eval_mean_token_accuracy": 0.19155203737318516,
+      "eval_num_tokens": 1181787.0,
+      "eval_runtime": 43.9254,
+      "eval_samples_per_second": 4.371,
+      "eval_steps_per_second": 1.093,
+      "step": 70
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+    {
+      "entropy": 6.659492689371109,
+      "epoch": 0.903954802259887,
+      "grad_norm": 0.82421875,
+      "learning_rate": 0.00011511627906976746,
+      "loss": 6.499990081787109,
+      "mean_token_accuracy": 0.21302505303174257,
+      "num_tokens": 1360714.0,
+      "step": 80
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+    {
+      "epoch": 0.903954802259887,
+      "eval_entropy": 6.760685175657272,
+      "eval_loss": 6.4918060302734375,
+      "eval_mean_token_accuracy": 0.20070527338733277,
+      "eval_num_tokens": 1360714.0,
+      "eval_runtime": 44.0105,
+      "eval_samples_per_second": 4.363,
+      "eval_steps_per_second": 1.091,
+      "step": 80
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   ],
   "logging_steps": 10,
@@ -153,7 +195,7 @@
       "attributes": {}
     }
   },
-  "total_flos": 7.239544391631667e+16,
+  "total_flos": 9.734138912925696e+16,
   "train_batch_size": 4,
   "trial_name": null,
   "trial_params": null