Model save
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README.md
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@@ -36,15 +36,15 @@ More information needed
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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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: 2
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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: cosine
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- lr_scheduler_warmup_ratio: 0.05
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- num_epochs:
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### Training results
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.40.
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.1
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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: 0.0001
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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: 2
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- total_train_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.05
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- num_epochs: 5
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### Training results
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### Framework versions
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| 54 |
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- PEFT 0.10.0
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| 56 |
+
- Transformers 4.40.2
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| 57 |
- Pytorch 2.2.1+cu121
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| 58 |
- Datasets 2.19.1
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- Tokenizers 0.19.1
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