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README.md
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# zephyr-7b-sft-med
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This model is a fine-tuned version of Mistral-7B-v0.1 on the train_med_processed.json dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-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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- distributed_type: multi-GPU
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- num_devices: 4
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- total_train_batch_size: 8
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- total_eval_batch_size: 32
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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: 0.1
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- num_epochs: 5
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### Training results
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.1.1+cu118
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- Datasets 2.18.0
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- Tokenizers 0.15.0
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