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DistilBert-fine-tuned-WiC
rycecorn/DistilBert-fine-tuned-WiC
DistilBert-fine-tuned-WiC is a text classification model from rycecorn. 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 7, 2024
- Updated
- May 7, 2024
- SHA
- 4ff6fe30
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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-fine-tuned-WiC
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8696
- Accuracy: 0.6364
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: 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6664 | 1.0 | 679 | 0.6916 | 0.5846 |
| 0.5179 | 2.0 | 1358 | 0.7563 | 0.6176 |
| 0.3019 | 3.0 | 2037 | 1.1962 | 0.6207 |
| 0.1957 | 4.0 | 2716 | 1.6154 | 0.6411 |
| 0.141 | 5.0 | 3395 | 1.8696 | 0.6364 |
Framework versions
- Transformers 4.39.3
- Pytorch 1.13.0
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- May 7, 2024
- Updated
- May 7, 2024