Upload trainer_state.json

trainer_state.json

@@ -0,0 +1,49 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 9.0,
+  "eval_steps": 500,
+  "global_step": 1224,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "learning_rate": 6.323529411764706e-06,
+      "logits/chosen": -2.905975580215454,
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+      "logps/chosen": -347.41741943359375,
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+      "loss": 0.0303,
+      "rewards/accuracies": 0.9965069890022278,
+      "rewards/chosen": 2.506096601486206,
+      "rewards/margins": 7.654053211212158,
+      "rewards/rejected": -5.147956848144531,
+      "step": 500
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+    {
+      "epoch": 7.35,
+      "learning_rate": 2.647058823529412e-06,
+      "logits/chosen": -2.9062390327453613,
+      "logits/rejected": -3.1844594478607178,
+      "logps/chosen": -346.119873046875,
+      "logps/rejected": -186.7269287109375,
+      "loss": 0.0034,
+      "rewards/accuracies": 1.0,
+      "rewards/chosen": 2.641273260116577,
+      "rewards/margins": 9.2114839553833,
+      "rewards/rejected": -6.570209980010986,
+      "step": 1000
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 1360,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "total_flos": 0.0,
+  "train_batch_size": 4,
+  "trial_name": null,
+  "trial_params": null
+}