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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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