metadata

base_model: meta-llama/Meta-Llama-3-8B
tags:
  - generated_from_trainer
datasets:
  - customized
model-index:
  - name: astro-7b_llama3_lr-2e-5
    results: []

astro-7b_llama3_lr-2e-5

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the customized 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: 2e-05
train_batch_size: 24
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 192
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1.0

Training results

Framework versions

Transformers 4.40.0
Pytorch 2.2.2+cu121
Datasets 2.14.6
Tokenizers 0.19.1