metadata

license: apache-2.0
base_model: YYYYYYibo/full_vanilla_dpo_iter_1
tags:
  - trl
  - dpo
  - generated_from_trainer
model-index:
  - name: approx_nash_again_1_iter_2
    results: []

approx_nash_again_1_iter_2

This model is a fine-tuned version of YYYYYYibo/full_vanilla_dpo_iter_1 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: 5e-07
train_batch_size: 1
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 32
total_train_batch_size: 128
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Framework versions

Transformers 4.38.2
Pytorch 2.3.1+cu121
Datasets 2.14.6
Tokenizers 0.15.2