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tes1-UASNLP2
Arron99/tes1-UASNLP2
tes1-UASNLP2 is a text classification model from Arron99. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jun 29, 2024
- Updated
- Jun 29, 2024
- SHA
- 6bf5f96a
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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. -->
tes1-UASNLP2
This model is a fine-tuned version of google-bert/bert-base-multilingual-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3413
- Accuracy: 0.8705
- Precision: 0.8858
- Recall: 0.8803
- F1: 0.8830
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-05
- train_batch_size: 64
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.4596 | 1.2121 | 100 | 0.3631 | 0.8554 | 0.8767 | 0.8605 | 0.8685 |
| 0.254 | 2.4242 | 200 | 0.3413 | 0.8705 | 0.8858 | 0.8803 | 0.8830 |
| 0.1674 | 3.6364 | 300 | 0.3847 | 0.8793 | 0.8758 | 0.9118 | 0.8934 |
| 0.0968 | 4.8485 | 400 | 0.4927 | 0.8759 | 0.9145 | 0.8564 | 0.8845 |
| 0.0614 | 6.0606 | 500 | 0.5308 | 0.8721 | 0.8748 | 0.8981 | 0.8863 |
| 0.0418 | 7.2727 | 600 | 0.6098 | 0.8759 | 0.8988 | 0.8748 | 0.8867 |
| 0.0296 | 8.4848 | 700 | 0.6507 | 0.8751 | 0.8910 | 0.8830 | 0.8870 |
| 0.0183 | 9.6970 | 800 | 0.6822 | 0.8789 | 0.8944 | 0.8865 | 0.8904 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jun 29, 2024
- Updated
- Jun 29, 2024