metadata

library_name: transformers
license: other
base_model: meta-llama/Llama-3.1-8B-Instruct
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: longcot_pt_llama3.1_ZD_11_29_1
    results: []

longcot_pt_llama3.1_ZD_11_29_1

This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the longcot_pt 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: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 24
total_train_batch_size: 24
total_eval_batch_size: 192
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 4.0

Training results

Framework versions

Transformers 4.46.2
Pytorch 2.3.1
Datasets 3.1.0
Tokenizers 0.20.1