tanatapanun
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End of training
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README.md
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@@ -36,11 +36,11 @@ More information needed
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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:
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size:
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.03
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.
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- Pytorch 2.1.2
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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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: 4
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.03
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.44.0
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- Pytorch 2.1.2
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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