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: 3.9312
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: 1e-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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.7424 | 1.0 | 5 | 5.0220 |
| 4.7253 | 2.0 | 10 | 4.5156 |
| 4.4643 | 3.0 | 15 | 4.3808 |
| 4.3235 | 4.0 | 20 | 4.2740 |
| 4.2015 | 5.0 | 25 | 4.1731 |
| 4.0779 | 6.0 | 30 | 4.0667 |
| 3.9722 | 7.0 | 35 | 4.0160 |
| 3.9136 | 8.0 | 40 | 3.9975 |
| 3.878 | 9.0 | 45 | 3.9820 |
| 3.8465 | 10.0 | 50 | 3.9675 |
| 3.8029 | 11.0 | 55 | 3.9552 |
| 3.7845 | 12.0 | 60 | 3.9454 |
| 3.7639 | 13.0 | 65 | 3.9383 |
| 3.7473 | 14.0 | 70 | 3.9337 |
| 3.7358 | 15.0 | 75 | 3.9312 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Downloads last month
- 4
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for agusbrusco/Martin-Fierro
Base model
DeepESP/gpt2-spanish