eco_friendly_gpt2
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0894
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- 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 |
---|---|---|---|
5.1458 | 0.5800 | 500 | 4.6800 |
4.258 | 1.1601 | 1000 | 3.7653 |
3.7899 | 1.7401 | 1500 | 3.3694 |
3.5363 | 2.3202 | 2000 | 3.1678 |
3.5072 | 2.9002 | 2500 | 3.0894 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Downloads last month
- 167
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.