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TCFD-Bert
doanmgd/TCFD-Bert
TCFD-Bert is a text classification model from doanmgd. 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
- distilbert
- Access
- Public
- Created
- May 13, 2025
- Updated
- May 25, 2025
- SHA
- d443591a
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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. -->
TCFD-Bert
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6350
- Accuracy: 0.825
- F1: 0.8214
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 OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.4062 | 1.0 | 45 | 1.0888 | 0.65 | 0.5877 |
| 0.9397 | 2.0 | 90 | 0.7605 | 0.72 | 0.6675 |
| 0.6364 | 3.0 | 135 | 0.6306 | 0.76 | 0.7407 |
| 0.4503 | 4.0 | 180 | 0.6293 | 0.77 | 0.7724 |
| 0.3122 | 5.0 | 225 | 0.5822 | 0.825 | 0.8192 |
| 0.2167 | 6.0 | 270 | 0.6071 | 0.805 | 0.7946 |
| 0.1638 | 7.0 | 315 | 0.6133 | 0.81 | 0.8049 |
| 0.1167 | 8.0 | 360 | 0.6112 | 0.81 | 0.8087 |
| 0.091 | 9.0 | 405 | 0.6396 | 0.82 | 0.8101 |
| 0.0793 | 10.0 | 450 | 0.6350 | 0.825 | 0.8214 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- May 13, 2025
- Updated
- May 25, 2025