README.md

metadata

base_model: NousResearch/Llama-2-7b-hf
tags:
  - generated_from_trainer
model-index:
  - name: llama-7-int4-dolly-15k-flash-attn-r-64-lora-alpha-16-lora-dropout-0.4
    results: []

llama-7-int4-dolly-15k-flash-attn-r-64-lora-alpha-16-lora-dropout-0.4

This model is a fine-tuned version of NousResearch/Llama-2-7b-hf on an unknown 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: 0.0002
• train_batch_size: 6
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• num_epochs: 3

Training results

Framework versions

• Transformers 4.34.0.dev0
• Pytorch 2.0.1+cu118
• Datasets 2.14.6.dev0
• Tokenizers 0.13.3