Model save
Browse files- README.md +3 -4
- adapter_model.bin +1 -1
README.md
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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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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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.05
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- lr_scheduler_warmup_steps: 2
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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### Training hyperparameters
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| 32 |
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 1
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| 36 |
- eval_batch_size: 8
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- seed: 42
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.05
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- lr_scheduler_warmup_steps: 2
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- num_epochs: 2.0
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### Training results
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### Framework versions
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| 51 |
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- Transformers 4.34.1
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- Pytorch 2.1.0+cu118
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| 54 |
- Datasets 2.14.6
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| 55 |
- Tokenizers 0.14.1
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 170244818
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version https://git-lfs.github.com/spec/v1
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oid sha256:4a2226344cb241bfbb8cc544ef007cb4eb92ee9a0ebf87b18593fd747f403378
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size 170244818
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