Model save
Browse files
README.md
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@@ -41,9 +41,9 @@ The following hyperparameters were used during training:
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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:
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- total_train_batch_size:
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- optimizer:
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 1
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@@ -55,7 +55,7 @@ The following hyperparameters were used during training:
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.
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- Pytorch 2.4.
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- Datasets 2.21.0
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- Tokenizers 0.
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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: 4
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- total_train_batch_size: 4
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 1
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.46.2
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- Pytorch 2.4.1
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- Datasets 2.21.0
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- Tokenizers 0.20.1
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