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metadata
license: mit
base_model: openai-gpt
tags:
  - generated_from_trainer
model-index:
  - name: test_pretrain_pipeline
    results: []

test_pretrain_pipeline

This model is a fine-tuned version of openai-gpt on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.7307

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: 0.0003
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 64
  • 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 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3