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fined-tune-thai-sentiment

Text Classification
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camembert
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End of training

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Files changed (10) hide show
  1. README.md +7 -7
  2. model.safetensors +1 -1
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README.md CHANGED
@@ -14,12 +14,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 0.7400
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- - eval_accuracy: {'accuracy': 0.753968253968254}
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- - eval_f1score: {'f1': 0.7292250233426704}
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- - eval_runtime: 0.7627
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- - eval_samples_per_second: 165.198
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- - eval_steps_per_second: 20.978
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  - step: 0
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  ## Model description
@@ -39,7 +39,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
 
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  This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - eval_loss: 0.8071
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+ - eval_accuracy: {'accuracy': 0.7301587301587301}
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+ - eval_f1score: {'f1': 0.7104126032697461}
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+ - eval_runtime: 0.9657
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+ - eval_samples_per_second: 130.473
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+ - eval_steps_per_second: 16.568
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  - step: 0
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  ## Model description
 
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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