metadata
library_name: peft
license: llama3.1
base_model: meta-llama/Llama-3.1-8B-Instruct
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: dpo-hw0
results: []
dpo-hw0
This model is a fine-tuned version of meta-llama/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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 4
Training results
Framework versions
- PEFT 0.10.0
- Transformers 5.19.0
- Pytorch 2.14.1+cu130
- Datasets 2.21.0
- Tokenizers 0.23.3