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distilbert-base-uncased-finetuned-pad-clf-corpus
netoferraz/distilbert-base-uncased-finetuned-pad-clf-corpus
distilbert-base-uncased-finetuned-pad-clf-corpus is a text classification model from netoferraz. 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
- Dec 14, 2023
- Updated
- Dec 14, 2023
- SHA
- e1cf354b
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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. -->
distilbert-base-uncased-finetuned-pad-clf-corpus
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: 0.1507
- Accuracy: 0.9667
- F1: 0.9667
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: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 4 | 0.6603 | 0.55 | 0.3903 |
| No log | 2.0 | 8 | 0.5784 | 0.9083 | 0.9082 |
| No log | 3.0 | 12 | 0.4524 | 0.9167 | 0.9169 |
| 0.593 | 4.0 | 16 | 0.3400 | 0.9417 | 0.9418 |
| 0.593 | 5.0 | 20 | 0.2622 | 0.95 | 0.9501 |
| 0.593 | 6.0 | 24 | 0.2090 | 0.9667 | 0.9667 |
| 0.263 | 7.0 | 28 | 0.1811 | 0.9667 | 0.9667 |
| 0.263 | 8.0 | 32 | 0.1640 | 0.9667 | 0.9667 |
| 0.263 | 9.0 | 36 | 0.1544 | 0.9667 | 0.9667 |
| 0.263 | 10.0 | 40 | 0.1507 | 0.9667 | 0.9667 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Dec 14, 2023
- Updated
- Dec 14, 2023