metadata
license: mit
base_model: DeepESP/gpt2-spanish
tags:
- generated_from_trainer
model-index:
- name: Martin-Fierro
results: []
Martin-Fierro
This model is a fine-tuned version of DeepESP/gpt2-spanish on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.6687
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.9891 | 1.0 | 40 | 3.7897 |
| 3.4333 | 2.0 | 80 | 3.6631 |
| 3.25 | 3.0 | 120 | 3.6085 |
| 3.0732 | 4.0 | 160 | 3.5934 |
| 2.7839 | 5.0 | 200 | 3.5859 |
| 2.7496 | 6.0 | 240 | 3.5977 |
| 2.5405 | 7.0 | 280 | 3.6088 |
| 2.259 | 8.0 | 320 | 3.6209 |
| 2.3266 | 9.0 | 360 | 3.6279 |
| 2.1343 | 10.0 | 400 | 3.6405 |
| 2.1211 | 11.0 | 440 | 3.6489 |
| 1.9877 | 12.0 | 480 | 3.6576 |
| 1.9446 | 13.0 | 520 | 3.6644 |
| 1.9366 | 14.0 | 560 | 3.6667 |
| 1.9959 | 15.0 | 600 | 3.6687 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3