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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 (12) hide show
  1. README.md +9 -9
  2. model.safetensors +1 -1
  3. runs/Jun10_06-00-51_c19863619500/events.out.tfevents.1717999302.c19863619500.985.0 +3 -0
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  5. runs/Jun10_06-03-28_c19863619500/events.out.tfevents.1717999416.c19863619500.985.2 +3 -0
  6. runs/Jun10_06-03-28_c19863619500/events.out.tfevents.1717999517.c19863619500.985.3 +3 -0
  7. runs/Jun10_06-05-33_c19863619500/events.out.tfevents.1717999538.c19863619500.985.4 +3 -0
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  10. runs/Jun10_06-10-07_c19863619500/events.out.tfevents.1717999813.c19863619500.985.7 +3 -0
  11. runs/Jun10_06-10-07_c19863619500/events.out.tfevents.1717999907.c19863619500.985.8 +3 -0
  12. training_args.bin +1 -1
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: 0.8071
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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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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - lr_scheduler_warmup_steps: 43
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- - num_epochs: 7
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  ### Framework versions
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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: 0.8371
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+ - eval_accuracy: {'accuracy': 0.6541353383458647}
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+ - eval_f1score: {'f1': 0.5173615857826385}
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+ - eval_runtime: 1.0057
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+ - eval_samples_per_second: 132.25
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+ - eval_steps_per_second: 16.904
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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: 1e-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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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 66
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+ - num_epochs: 10
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  ### Framework versions
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