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Model save

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  1. README.md +5 -4
README.md CHANGED
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # opus-mt-zh-en-finetuned-cs-instruction
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- This model is a fine-tuned version of [Helsinki-NLP/opus-mt-zh-en](https://huggingface.co/Helsinki-NLP/opus-mt-zh-en) on an unknown dataset.
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  ## Model description
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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: 2
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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: 16
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  - optimizer: Use 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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  - num_epochs: 3
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  - Transformers 4.46.2
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  - Pytorch 2.5.1+cu121
 
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  - Tokenizers 0.20.3
 
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  # opus-mt-zh-en-finetuned-cs-instruction
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+ This model is a fine-tuned version of [Helsinki-NLP/opus-mt-zh-en](https://huggingface.co/Helsinki-NLP/opus-mt-zh-en) on the None dataset.
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  ## Model description
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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: 1
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  - eval_batch_size: 8
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  - seed: 42
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+ - gradient_accumulation_steps: 64
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+ - total_train_batch_size: 64
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  - optimizer: Use 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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  - num_epochs: 3
 
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  - Transformers 4.46.2
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  - Pytorch 2.5.1+cu121
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+ - Datasets 3.1.0
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  - Tokenizers 0.20.3