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sft_fine_tuned_model_gpt2

Text Generation
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gpt2
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sft_fine_tuned_model_gpt2 / README.md
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metadata
library_name: transformers
license: mit
base_model: gpt2
tags:
  - generated_from_trainer
model-index:
  - name: sft_fine_tuned_model_gpt2
    results: []

sft_fine_tuned_model_gpt2

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.5174

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: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH 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: 500
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
1.708 1.0 16689 1.6109
1.5972 2.0 33378 1.5408
1.5487 3.0 50067 1.5174

Framework versions

  • Transformers 4.47.1
  • Pytorch 2.5.1+cu124
  • Datasets 3.2.0
  • Tokenizers 0.21.0