<!-- 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. -->
distilbert-base-spanish-uncased-finetuned-rock-argentino
This model is a fine-tuned version of dccuchile/distilbert-base-spanish-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.8877
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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.5416 | 1.0 | 157 | 4.1030 |
| 4.1442 | 2.0 | 314 | 3.9365 |
| 4.0607 | 3.0 | 471 | 3.8620 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.13.3
