README.md

metadata

library_name: transformers
license: other
base_model: meta-llama/Llama-2-7b-hf
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: sft_train.alpaca_gpt4_ratio_0.1_layer
    results: []

sft_train.alpaca_gpt4_ratio_0.1_layer

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the train.alpaca_gpt4_ratio_0.1_layer 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: 64
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• total_train_batch_size: 256
• total_eval_batch_size: 32
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3.0

Training results

Framework versions

• Transformers 4.46.1
• Pytorch 2.4.0+cu121
• Datasets 2.20.0
• Tokenizers 0.20.3