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distilbert-p2
wnic00/distilbert-p2
distilbert-p2 is a text classification model from wnic00. 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
- Nov 24, 2023
- Updated
- Nov 26, 2023
- SHA
- 64cd6780
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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-p2
This model is a fine-tuned version of wnic00/distilbert-p1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8923
- Accuracy: 0.6486
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 470 | 0.7789 | 0.6571 |
| 0.8327 | 2.0 | 940 | 0.9130 | 0.6603 |
| 0.5915 | 3.0 | 1410 | 1.3572 | 0.6603 |
| 0.377 | 4.0 | 1880 | 1.6736 | 0.6400 |
| 0.2378 | 5.0 | 2350 | 1.8923 | 0.6486 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cpu
- Datasets 2.14.4
- Tokenizers 0.13.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Nov 24, 2023
- Updated
- Nov 26, 2023