metadata

base_model: meta-llama/Llama-2-7b-hf
tags:
  - generated_from_trainer
datasets:
  - financial_phrasebank
model-index:
  - name: llama2-finance
    results: []

llama2-finance

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the financial_phrasebank 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: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
training_steps: 20

Training results

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3