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distilbert-base-uncased-finetuned-pad-clf-corpus-v2
netoferraz/distilbert-base-uncased-finetuned-pad-clf-corpus-v2
distilbert-base-uncased-finetuned-pad-clf-corpus-v2 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 18, 2023
- Updated
- Dec 18, 2023
- SHA
- 2c3c79ab
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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-v2
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: 0.2403
- Accuracy: 0.9417
- F1: 0.9416
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 | 0.6670 | 0.55 | 0.3903 |
| No log | 2.0 | 8 | 0.6078 | 0.5667 | 0.4267 |
| No log | 3.0 | 12 | 0.5180 | 0.8 | 0.7985 |
| 0.616 | 4.0 | 16 | 0.4806 | 0.775 | 0.7566 |
| 0.616 | 5.0 | 20 | 0.3904 | 0.8583 | 0.8584 |
| 0.616 | 6.0 | 24 | 0.3064 | 0.9333 | 0.9330 |
| 0.3661 | 7.0 | 28 | 0.2825 | 0.925 | 0.9251 |
| 0.3661 | 8.0 | 32 | 0.2607 | 0.925 | 0.9251 |
| 0.3661 | 9.0 | 36 | 0.2435 | 0.95 | 0.9499 |
| 0.3661 | 10.0 | 40 | 0.2403 | 0.9417 | 0.9416 |
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 18, 2023
- Updated
- Dec 18, 2023