End of training
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README.md
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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:
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- seed: 42
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- gradient_accumulation_steps:
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- total_train_batch_size:
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- mixed_precision_training: Native AMP
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### Training results
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- Transformers 4.51.3
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- Pytorch 2.5.1+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.
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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: 3
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- eval_batch_size: 3
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 12
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 200
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- num_epochs: 2
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- mixed_precision_training: Native AMP
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### Training results
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- Transformers 4.51.3
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- Pytorch 2.5.1+cu124
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- Datasets 3.2.0
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| 57 |
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- Tokenizers 0.21.1
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