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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": 1.1242937853107344,
   "eval_steps": 10,
-  "global_step": 80,
+  "global_step": 100,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -176,6 +176,48 @@
       "eval_samples_per_second": 4.363,
       "eval_steps_per_second": 1.091,
       "step": 80
+    },
+    {
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+      "epoch": 1.0112994350282485,
+      "grad_norm": 0.64453125,
+      "learning_rate": 0.00010348837209302327,
+      "loss": 6.255178451538086,
+      "mean_token_accuracy": 0.24344109077202647,
+      "num_tokens": 1511764.0,
+      "step": 90
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+    {
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+      "eval_entropy": 6.723124821980794,
+      "eval_loss": 6.457315921783447,
+      "eval_mean_token_accuracy": 0.20087979889164367,
+      "eval_num_tokens": 1511764.0,
+      "eval_runtime": 43.8306,
+      "eval_samples_per_second": 4.381,
+      "eval_steps_per_second": 1.095,
+      "step": 90
+    },
+    {
+      "entropy": 6.43809232711792,
+      "epoch": 1.1242937853107344,
+      "grad_norm": 0.55859375,
+      "learning_rate": 9.186046511627907e-05,
+      "loss": 6.314236068725586,
+      "mean_token_accuracy": 0.23132331417873503,
+      "num_tokens": 1682798.0,
+      "step": 100
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+    {
+      "epoch": 1.1242937853107344,
+      "eval_entropy": 6.687405467033386,
+      "eval_loss": 6.43255090713501,
+      "eval_mean_token_accuracy": 0.20094856123129526,
+      "eval_num_tokens": 1682798.0,
+      "eval_runtime": 44.0723,
+      "eval_samples_per_second": 4.356,
+      "eval_steps_per_second": 1.089,
+      "step": 100
     }
   ],
   "logging_steps": 10,
@@ -195,7 +237,7 @@
       "attributes": {}
     }
   },
-  "total_flos": 9.734138912925696e+16,
+  "total_flos": 1.2023018700050227e+17,
   "train_batch_size": 4,
   "trial_name": null,
   "trial_params": null