<!-- 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. -->
finetuning-sentiment-model-3
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: 1.1781
- Accuracy: 0.6225
- F1: 0.5292
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 16 | 1.1234 | 0.5474 | 0.3031 |
| No log | 2.0 | 32 | 0.9975 | 0.6008 | 0.3433 |
| No log | 3.0 | 48 | 0.9438 | 0.6383 | 0.4604 |
| No log | 4.0 | 64 | 0.9385 | 0.6462 | 0.4692 |
| No log | 5.0 | 80 | 0.9864 | 0.6364 | 0.5066 |
| No log | 6.0 | 96 | 1.0309 | 0.6146 | 0.4968 |
| No log | 7.0 | 112 | 1.0853 | 0.6186 | 0.5246 |
| No log | 8.0 | 128 | 1.1456 | 0.6166 | 0.5208 |
| No log | 9.0 | 144 | 1.1860 | 0.6087 | 0.5206 |
| No log | 10.0 | 160 | 1.1781 | 0.6225 | 0.5292 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
