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distilbert-base-uncased-new-cola
charlemagne/distilbert-base-uncased-new-cola
distilbert-base-uncased-new-cola is a text classification model from charlemagne. 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
- Jan 5, 2023
- Updated
- Jan 5, 2023
- SHA
- 5550a45a
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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. -->
distilbert-base-uncased-new-cola
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: 0.2124
- Accuracy: 0.9496
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
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 164 | 0.4181 | 0.8694 |
| No log | 2.0 | 328 | 0.2656 | 0.9282 |
| No log | 3.0 | 492 | 0.2518 | 0.9366 |
| 0.441 | 4.0 | 656 | 0.2124 | 0.9496 |
| 0.441 | 5.0 | 820 | 0.2177 | 0.9481 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.8.0+cu111
- Datasets 2.1.0
- Tokenizers 0.11.6
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jan 5, 2023
- Updated
- Jan 5, 2023