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End of training

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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: 0.9431
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- - eval_accuracy: {'accuracy': 0.7785234899328859}
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- - eval_f1score: {'f1': 0.7568530991349783}
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- - eval_runtime: 4.9915
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- - eval_samples_per_second: 29.851
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- - eval_steps_per_second: 3.806
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  - step: 0
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  ## Model description
@@ -45,7 +45,7 @@ The following hyperparameters were used during training:
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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: 148
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  - num_epochs: 10
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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: 0.3304
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+ - eval_accuracy: {'accuracy': 0.8993288590604027}
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+ - eval_f1score: {'f1': 0.892047439551347}
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+ - eval_runtime: 4.7974
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+ - eval_samples_per_second: 31.058
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+ - eval_steps_per_second: 3.96
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  - step: 0
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  ## Model description
 
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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: 222
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  - num_epochs: 10
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  ### Framework versions
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