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: 4.8061
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|
| 5.0328 | 1.0 | 20 | 5.0152 |
| 4.7574 | 2.0 | 40 | 4.9032 |
| 4.3886 | 3.0 | 60 | 4.8255 |
| 4.1451 | 4.0 | 80 | 4.7964 |
| 3.9348 | 5.0 | 100 | 4.7688 |
| 3.7939 | 6.0 | 120 | 4.7665 |
| 3.6217 | 7.0 | 140 | 4.7699 |
| 3.4227 | 8.0 | 160 | 4.7724 |
| 3.3516 | 9.0 | 180 | 4.7801 |
| 3.2221 | 10.0 | 200 | 4.7867 |
| 3.0784 | 11.0 | 220 | 4.7919 |
| 2.9892 | 12.0 | 240 | 4.7989 |
| 2.9822 | 13.0 | 260 | 4.8027 |
| 3.0085 | 14.0 | 280 | 4.8053 |
| 2.9591 | 15.0 | 300 | 4.8061 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3