UIT-VSFC-XLNet-CLSModel-v3
This model is a fine-tuned version of xlnet-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3922
- Accuracy: 0.8646
- F1: 0.5987
- Precision: 0.7427
- Recall: 0.6086
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: 5e-06
- train_batch_size: 32
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 357 | 0.4477 | 0.8464 | 0.5773 | 0.5639 | 0.5914 |
| 0.5934 | 2.0 | 714 | 0.3922 | 0.8646 | 0.5987 | 0.7427 | 0.6086 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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Model tree for haihuynh/UIT-VSFC-XLNet-CLSModel-v3
Base model
xlnet/xlnet-base-cased