metadata
library_name: peft
license: mit
base_model: openai-community/gpt2
tags:
- generated_from_trainer
model-index:
- name: text-simplification
results: []
text-simplification
This model is a fine-tuned version of openai-community/gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5713
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.884 | 1.0 | 6044 | 0.6113 |
| 0.6392 | 2.0 | 12088 | 0.5825 |
| 0.6168 | 3.0 | 18132 | 0.5764 |
| 0.6077 | 4.0 | 24176 | 0.5732 |
| 0.6038 | 5.0 | 30220 | 0.5713 |
Framework versions
- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0