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zephyr-7b-sft-med

This model is a fine-tuned version of Mistral-7B-v0.1 on the train_med_processed.json dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 1e-05
  • train_batch_size: 2
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • total_train_batch_size: 8
  • total_eval_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 5

Training results

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.1+cu118
  • Datasets 2.18.0
  • Tokenizers 0.15.0
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Model size
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BF16
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