metadata

library_name: transformers
license: llama3.1
base_model: meta-llama/Llama-3.1-8B
tags:
  - generated_from_trainer
model-index:
  - name: Llama-3.1-8B-bbc_en-lr5e-6-cos-wd0.1
    results: []

Llama-3.1-8B-bbc_en-lr5e-6-cos-wd0.1

This model is a fine-tuned version of meta-llama/Llama-3.1-8B on the None 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-06
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Use adafactor and the args are: No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.46.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0