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bert-base-th-cased-intent-booking
Porameht/bert-base-th-cased-intent-booking
bert-base-th-cased-intent-booking is a text classification model from Porameht. 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
- Oct 8, 2024
- Updated
- Oct 8, 2024
- SHA
- 94fee2ac
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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. -->
bert-base-th-cased-intent-booking
This model is a fine-tuned version of Geotrend/bert-base-th-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2707
- Accuracy: 0.9234
- F1: 0.9209
- Precision: 0.9322
- Recall: 0.9234
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: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 64
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 1.8845 | 1.0 | 65 | 0.6954 | 0.9144 | 0.9139 | 0.9169 | 0.9144 |
| 0.446 | 2.0 | 130 | 0.2283 | 0.9279 | 0.9289 | 0.9327 | 0.9279 |
| 0.1807 | 3.0 | 195 | 0.2037 | 0.9505 | 0.9506 | 0.9568 | 0.9505 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Oct 8, 2024
- Updated
- Oct 8, 2024