<!-- 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. -->
bert-base-spanish-wwm-cased-finetuned-MeIA-AnalisisDeSentimientos
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1296
- F1: 0.5826
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.9559 | 1.0 | 766 | 0.9486 | 0.5698 |
| 0.8016 | 2.0 | 1532 | 0.9745 | 0.5788 |
| 0.6378 | 3.0 | 2298 | 1.1296 | 0.5826 |
| 0.4044 | 4.0 | 3064 | 1.3569 | 0.5786 |
| 0.2667 | 5.0 | 3830 | 1.6739 | 0.5744 |
| 0.1763 | 6.0 | 4596 | 2.1382 | 0.5614 |
| 0.0653 | 7.0 | 5362 | 2.5472 | 0.5730 |
| 0.068 | 8.0 | 6128 | 2.9414 | 0.5748 |
| 0.0317 | 9.0 | 6894 | 3.1639 | 0.5742 |
| 0.015 | 10.0 | 7660 | 3.2025 | 0.5767 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
