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covid_miss_information_classification2
satendrakumar/covid_miss_information_classification2
covid_miss_information_classification2 is a text classification model from satendrakumar. 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 22, 2023
- Updated
- Dec 7, 2023
- SHA
- d9e0c419
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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. -->
covid_miss_information_classification2
This model is a fine-tuned version of distilbert-base-uncased on an tweets dataset. It achieves the following results on the evaluation set:
- Loss: 0.0174
- Accuracy: 0.9966
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|
| 0.1244 | 1.0 | 1132 | 0.0497 | 0.9861 |
| 0.0587 | 2.0 | 2264 | 0.0383 | 0.9906 |
| 0.0244 | 3.0 | 3396 | 0.0213 | 0.9951 |
| 0.0046 | 4.0 | 4528 | 0.0202 | 0.9966 |
| 0.0047 | 5.0 | 5660 | 0.0174 | 0.9966 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- May 22, 2023
- Updated
- Dec 7, 2023