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CS221-xlnet-base-cased-finetuned-augmentation
Kuongan/CS221-xlnet-base-cased-finetuned-augmentation
CS221-xlnet-base-cased-finetuned-augmentation is a text classification model from Kuongan. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlnet
- Access
- Public
- Created
- Jan 25, 2025
- Updated
- Jan 25, 2025
- SHA
- 31dca5a9
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Base models
Model card
From the Hugging Face model README
<!-- 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. -->
CS221-xlnet-base-cased-finetuned-augmentation
This model is a fine-tuned version of xlnet-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4526
- F1: 0.7317
- Roc Auc: 0.7987
- Accuracy: 0.4657
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.5566 | 1.0 | 97 | 0.5083 | 0.3517 | 0.5891 | 0.2220 |
| 0.4351 | 2.0 | 194 | 0.4028 | 0.6618 | 0.7340 | 0.3953 |
| 0.3572 | 3.0 | 291 | 0.3741 | 0.6745 | 0.7609 | 0.4440 |
| 0.2884 | 4.0 | 388 | 0.3778 | 0.6907 | 0.7591 | 0.4422 |
| 0.2342 | 5.0 | 485 | 0.3955 | 0.7111 | 0.7761 | 0.4711 |
| 0.1865 | 6.0 | 582 | 0.4025 | 0.7222 | 0.7847 | 0.4747 |
| 0.1416 | 7.0 | 679 | 0.4546 | 0.6991 | 0.7686 | 0.4422 |
| 0.0942 | 8.0 | 776 | 0.4526 | 0.7317 | 0.7987 | 0.4657 |
| 0.0821 | 9.0 | 873 | 0.4773 | 0.7174 | 0.7886 | 0.4458 |
| 0.064 | 10.0 | 970 | 0.5017 | 0.7194 | 0.7856 | 0.4495 |
| 0.0498 | 11.0 | 1067 | 0.5312 | 0.7131 | 0.7812 | 0.4404 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- xlnet
- License
- mit
- Created
- Jan 25, 2025
- Updated
- Jan 25, 2025