cafebert-v1
This model is a fine-tuned version of uitnlp/CafeBERT on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0996
- F1 Macro: 0.1619
- F1 Weighted: 0.1559
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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 Weighted |
|---|---|---|---|---|---|
| 1.1133 | 1.0 | 1620 | 1.1003 | 0.1651 | 0.1630 |
| 1.1002 | 2.0 | 3240 | 1.0983 | 0.1728 | 0.1815 |
| 1.0967 | 3.0 | 4860 | 1.0986 | 0.1728 | 0.1815 |
| 1.1011 | 4.0 | 6480 | 1.0996 | 0.1619 | 0.1559 |
Framework versions
- Transformers 4.56.2
- Pytorch 2.8.0+cu128
- Datasets 4.1.1
- Tokenizers 0.22.1
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Model tree for htNghiaaa/dsc25-nextlevelv2-cafebert-v1
Base model
uitnlp/CafeBERT