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 an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5755
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6211 | 1.0 | 898 | 0.5805 |
| 0.6157 | 2.0 | 1796 | 0.5763 |
| 0.6128 | 3.0 | 2694 | 0.5742 |
| 0.6102 | 4.0 | 3592 | 0.5738 |
| 0.6073 | 5.0 | 4490 | 0.5755 |
Framework versions
- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0