1JV36 / README.md
gotzmann's picture
..
ac5dbc1
metadata
base_model: NousResearch/Meta-Llama-3.1-8B-Instruct
library_name: peft
license: other
tags:
  - llama-factory
  - lora
  - unsloth
  - generated_from_trainer
model-index:
  - name: exported
    results: []

exported

This model is a fine-tuned version of NousResearch/Meta-Llama-3.1-8B-Instruct on the final 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: 0.0001
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 300
  • num_epochs: 1.0
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.12.0
  • Transformers 4.43.4
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1