bert-leg-al-perplexity
This model is a fine-tuned version of PlanTL-GOB-ES/RoBERTalex on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2238
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-06
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 63 | 2.3119 |
| No log | 2.0 | 126 | 2.1746 |
| No log | 3.0 | 189 | 2.1621 |
| No log | 4.0 | 252 | 2.2585 |
| No log | 5.0 | 315 | 2.2080 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2