AnnyNguyen commited on
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Upload trainer_state.json with huggingface_hub

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  1. trainer_state.json +12 -9
trainer_state.json CHANGED
@@ -1,6 +1,6 @@
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  {
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  "best_global_step": 446,
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- "best_metric": 0.8941398865784499,
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  "best_model_checkpoint": "outputs/visobert-spam-binary/checkpoint-446",
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  "epoch": 1.0,
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  "eval_steps": 500,
@@ -11,18 +11,21 @@
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  "log_history": [
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  {
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  "epoch": 1.0,
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- "grad_norm": 0.7263875603675842,
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  "learning_rate": 4.998771926094749e-05,
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- "loss": 0.2876,
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  "step": 446
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  },
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  {
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  "epoch": 1.0,
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- "eval_accuracy": 0.8941398865784499,
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- "eval_loss": 0.2915821671485901,
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- "eval_runtime": 4.1449,
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- "eval_samples_per_second": 382.881,
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- "eval_steps_per_second": 12.063,
 
 
 
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  "step": 446
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  }
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  ],
@@ -52,7 +55,7 @@
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  "attributes": {}
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  }
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  },
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- "total_flos": 1875718713661440.0,
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  "train_batch_size": 32,
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  "trial_name": null,
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  "trial_params": null
 
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  {
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  "best_global_step": 446,
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+ "best_metric": 0.8935534659624744,
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  "best_model_checkpoint": "outputs/visobert-spam-binary/checkpoint-446",
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  "epoch": 1.0,
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  "eval_steps": 500,
 
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  "log_history": [
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  {
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  "epoch": 1.0,
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+ "grad_norm": 0.5744075179100037,
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  "learning_rate": 4.998771926094749e-05,
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+ "loss": 0.2647,
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  "step": 446
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  },
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  {
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  "epoch": 1.0,
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+ "eval_accuracy": 0.9174543163201008,
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+ "eval_f1": 0.8935534659624744,
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+ "eval_loss": 0.22875355184078217,
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+ "eval_precision": 0.9015729773766998,
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+ "eval_recall": 0.8863982633514904,
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+ "eval_runtime": 5.773,
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+ "eval_samples_per_second": 274.901,
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+ "eval_steps_per_second": 8.661,
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  "step": 446
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  }
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  ],
 
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  "attributes": {}
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  }
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  },
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+ "total_flos": 0.0,
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  "train_batch_size": 32,
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  "trial_name": null,
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  "trial_params": null