metadata

library_name: transformers
license: other
base_model: wisenut-nlp-team/wisenut-llama-3-8B-0.8-Instruct
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: '0.8'
    results: []

0.8

This model is a fine-tuned version of wisenut-nlp-team/wisenut-llama-3-8B-0.8-Instruct on the data_recipe_v3 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: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 16
total_train_batch_size: 512
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 20
num_epochs: 1.0

Training results

Framework versions

Transformers 4.44.1
Pytorch 2.2.2
Datasets 2.20.0
Tokenizers 0.19.1