README.md

metadata

library_name: peft
tags:
  - trl
  - sft
  - hf-llm-leaderboard
  - hf-llm-leaderboard
  - hf-llm-leaderboard
  - hf-llm-leaderboard
  - hf-llm-leaderboard
  - generated_from_trainer
  - hf-llm-leaderboard
  - hf-llm-leaderboard
  - hf-llm-leaderboard
datasets:
  - gbharti/finance-alpaca
base_model: NousResearch/Llama-2-7b-chat-hf
model-index:
  - name: Finance Llama2 - Yash Chudasama
    results: []

Finance Llama2 - Yash Chudasama

This model is a fine-tuned version of NousResearch/Llama-2-7b-chat-hf on the Finance Alpaca 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: 4
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Framework versions

• PEFT 0.9.0
• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2