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metadata
base_model: meta-llama/Llama-2-13b-hf
tags:
  - generated_from_trainer
datasets:
  - cnn_dailymail
model-index:
  - name: 2718_Llama-2-13b-hf
    results: []
library_name: peft

2718_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