beto-base-spanish-squades2-finetuned-MeIA-AnalisisDeSentimientos
This model is a fine-tuned version of inigopm/beto-base-spanish-squades2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1460
- F1: 0.5859
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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.9491 | 1.0 | 1225 | 0.9712 | 0.5621 |
| 0.795 | 2.0 | 2450 | 0.9874 | 0.5760 |
| 0.5394 | 3.0 | 3675 | 1.1460 | 0.5859 |
| 0.3743 | 4.0 | 4900 | 1.3914 | 0.5836 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3