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DistriBert_v10
JhonMR/DistriBert_v10
DistriBert_v10 is a text classification model from JhonMR. 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
- Oct 31, 2024
- Updated
- Oct 31, 2024
- SHA
- df0d74bb
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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. -->
DistriBert_v10
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Accuracy@en: 0.9045
- F1@en: 0.9042
- Precision@en: 0.9068
- Recall@en: 0.9060
- Loss@en: 0.3855
- Loss: 0.3855
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Accuracy@en | F1@en | Precision@en | Recall@en | Loss@en | Validation Loss |
|---|---|---|---|---|---|---|---|---|
| 3.5709 | 1.0 | 276 | 0.1886 | 0.1152 | 0.1680 | 0.1950 | 3.1240 | 3.1240 |
| 2.6043 | 2.0 | 552 | 0.5439 | 0.4938 | 0.5337 | 0.5479 | 1.8613 | 1.8613 |
| 1.3882 | 3.0 | 828 | 0.7577 | 0.7300 | 0.7811 | 0.7628 | 0.8831 | 0.8831 |
| 0.7307 | 4.0 | 1104 | 0.8354 | 0.8315 | 0.8461 | 0.8399 | 0.5816 | 0.5816 |
| 0.4954 | 5.0 | 1380 | 0.8688 | 0.8619 | 0.8666 | 0.8731 | 0.4491 | 0.4491 |
| 0.3782 | 6.0 | 1656 | 0.8788 | 0.8724 | 0.8752 | 0.8830 | 0.4025 | 0.4025 |
| 0.3106 | 7.0 | 1932 | 0.9045 | 0.9042 | 0.9068 | 0.9060 | 0.3855 | 0.3855 |
| 0.2667 | 8.0 | 2208 | 0.9011 | 0.9004 | 0.9031 | 0.9013 | 0.3874 | 0.3874 |
| 0.2354 | 9.0 | 2484 | 0.9034 | 0.9027 | 0.9048 | 0.9045 | 0.3914 | 0.3914 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 31, 2024
- Updated
- Oct 31, 2024