metadata

library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-3B-Instruct
tags:
  - trl
  - orpo
  - generated_from_trainer
model-index:
  - name: outputs
    results: []

outputs

This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct 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: 8e-06
train_batch_size: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 4
total_train_batch_size: 16
total_eval_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
num_epochs: 10

Training results

Framework versions

Transformers 4.44.2
Pytorch 2.2.0+cu121
Datasets 3.0.0
Tokenizers 0.19.1