metadata

base_model: unsloth/llama-3-8b-Instruct-bnb-4bit
library_name: peft
license: llama3.1
tags:
  - llama-factory
  - lora
  - unsloth
  - generated_from_trainer
model-index:
  - name: new-llamafactory-llama-3-8b
    results: []

new-llamafactory-llama-3-8b

This model is a fine-tuned version of unsloth/llama-3-8b-Instruct-bnb-4bit on the formatted_data 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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1.0
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.2.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1