checkpoints / README.md
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mNLP-project/distilgpt2-dpo_test_run
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metadata
license: mit
base_model: gpt2
tags:
  - trl
  - dpo
  - generated_from_trainer
model-index:
  - name: checkpoints
    results: []

checkpoints

This model is a fine-tuned version of gpt2 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-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Framework versions

  • Transformers 4.38.1
  • Pytorch 2.3.0+cpu
  • Datasets 2.3.2
  • Tokenizers 0.15.2