metadata
library_name: transformers
license: mit
base_model: openai-community/gpt2
tags:
- generated_from_trainer
model-index:
- name: gpt2_lgenerator
results: []
gpt2_lgenerator
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: 0.0831
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1588 | 0.4622 | 300 | 0.0985 |
| 0.0997 | 0.9245 | 600 | 0.0899 |
| 0.0934 | 1.3867 | 900 | 0.0872 |
| 0.0899 | 1.8490 | 1200 | 0.0852 |
| 0.0881 | 2.3112 | 1500 | 0.0844 |
| 0.087 | 2.7735 | 1800 | 0.0831 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.21.0