zephyr-7b-sft-lora

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator 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: 2e-05
• train_batch_size: 2
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• total_train_batch_size: 4
• total_eval_batch_size: 2
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 1

Framework versions

• Transformers 4.42.3
• Pytorch 2.3.0+cu121
• Datasets 2.19.2
• Tokenizers 0.19.1