metadata
base_model: openai-community/gpt2
library_name: peft
license: mit
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: 0.8159
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6031 | 1.0 | 235 | 0.9419 |
| 0.9602 | 2.0 | 470 | 0.8340 |
| 0.8961 | 3.0 | 705 | 0.8159 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.19.1
- Tokenizers 0.19.1