spanish-intent-classifier
This model is a fine-tuned version of Recognai/bert-base-spanish-wwm-cased-xnli on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3130
- Accuracy: 0.9418
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3007 | 1.0 | 17067 | 0.2598 | 0.9332 |
| 0.221 | 2.0 | 34134 | 0.2848 | 0.9408 |
| 0.1046 | 3.0 | 51201 | 0.3130 | 0.9418 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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Model tree for swapnasa/spanish-intent-classifier
Base model
Recognai/bert-base-spanish-wwm-cased-xnli