d-filter
This model is a fine-tuned version of uitnlp/visobert on the None dataset.
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: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 361 | 0.0957 | 0.9658 | 0.8602 | 0.8894 | 0.8328 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.17.0
- Tokenizers 0.19.1
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Inference Providers
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the model is not deployed on the HF Inference API.
Model tree for DuongTrongChi/d-filter
Base model
uitnlp/visobert