| | --- |
| | license: mit |
| | base_model: DeepESP/gpt2-spanish |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: Julio-Cortazar |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # Julio-Cortazar |
| |
|
| | This model is a fine-tuned version of [DeepESP/gpt2-spanish](https://huggingface.co/DeepESP/gpt2-spanish) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.1217 |
| |
|
| | ## 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: 64 |
| | - eval_batch_size: 64 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 2.2442 | 1.0 | 177 | 2.2206 | |
| | | 2.1964 | 2.0 | 354 | 2.1716 | |
| | | 2.1064 | 3.0 | 531 | 2.1494 | |
| | | 1.9843 | 4.0 | 708 | 2.1374 | |
| | | 1.9402 | 5.0 | 885 | 2.1312 | |
| | | 1.9309 | 6.0 | 1062 | 2.1264 | |
| | | 1.8384 | 7.0 | 1239 | 2.1227 | |
| | | 1.7512 | 8.0 | 1416 | 2.1221 | |
| | | 1.742 | 9.0 | 1593 | 2.1215 | |
| | | 1.8728 | 10.0 | 1770 | 2.1217 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.35.2 |
| | - Pytorch 2.1.0+cu118 |
| | - Datasets 2.15.0 |
| | - Tokenizers 0.15.0 |
| |
|
