README.md

metadata

base_model: unsloth/meta-llama-3.1-8b-bnb-4bit
library_name: peft
license: llama3.1
tags:
  - trl
  - sft
  - unsloth
  - generated_from_trainer
model-index:
  - name: outputs
    results: []

outputs

This model is a fine-tuned version of unsloth/meta-llama-3.1-8b-bnb-4bit on an unknown 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: 0.0002
• train_batch_size: 2
• eval_batch_size: 8
• seed: 3407
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 5
• training_steps: 60
• mixed_precision_training: Native AMP

Training results

Framework versions

• PEFT 0.12.0
• Transformers 4.43.1
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1