metadata

library_name: peft
license: llama3.1
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
tags:
  - trl
  - dpo
  - generated_from_trainer
model-index:
  - name: tq-llama-binary-20each-ws-all-langs-2epochs
    results: []

tq-llama-binary-20each-ws-all-langs-2epochs

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the None 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: 1e-07
train_batch_size: 2
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.2
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.14.0
Transformers 4.45.2
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.20.3