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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: 0.8861
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- - eval_accuracy: {'accuracy': 0.75}
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- - eval_f1score: {'f1': 0.7359720717467196}
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- - eval_runtime: 6.4103
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- - eval_samples_per_second: 31.2
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- - eval_steps_per_second: 3.9
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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: 116
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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: 0.5364
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+ - eval_accuracy: {'accuracy': 0.8045112781954887}
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+ - eval_f1score: {'f1': 0.7918628191903089}
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+ - eval_runtime: 4.438
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+ - eval_samples_per_second: 29.968
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+ - eval_steps_per_second: 3.831
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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: 132
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  - num_epochs: 10
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  ### Framework versions
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