1981_Llama-2-13b-hf/README.md

metadata

base_model: meta-llama/Llama-2-13b-hf
tags:
  - generated_from_trainer
datasets:
  - cnn_dailymail
model-index:
  - name: 1981_Llama-2-13b-hf
    results: []
library_name: peft

1981_Llama-2-13b-hf

This model is a fine-tuned version of meta-llama/Llama-2-13b-hf on the cnn_dailymail 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: 5e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Framework versions

• PEFT 0.4.0
• Transformers 4.36.2
• Pytorch 2.0.1+cu117
• Datasets 2.15.0
• Tokenizers 0.15.0