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trainer_state.json

@@ -0,0 +1,59 @@
+{
+  "best_global_step": 446,
+  "best_metric": 0.8947700063011972,
+  "best_model_checkpoint": "outputs/phobert-spam-classification/checkpoint-446",
+  "epoch": 1.0,
+  "eval_steps": 500,
+  "global_step": 446,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "grad_norm": 1.6064411401748657,
+      "learning_rate": 4.998771926094749e-05,
+      "loss": 0.4233,
+      "step": 446
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.8947700063011972,
+      "eval_loss": 0.3445567190647125,
+      "eval_runtime": 5.9893,
+      "eval_samples_per_second": 264.973,
+      "eval_steps_per_second": 8.348,
+      "step": 446
+    }
+  ],
+  "logging_steps": 446,
+  "max_steps": 44600,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 100,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 5,
+        "early_stopping_threshold": 0.0
+      },
+      "attributes": {
+        "early_stopping_patience_counter": 0
+      }
+    },
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1875752396304384.0,
+  "train_batch_size": 32,
+  "trial_name": null,
+  "trial_params": null
+}