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bert-injury-classifier
tal-yifat/bert-injury-classifier
bert-injury-classifier is a text classification model from tal-yifat. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Feb 2, 2022
- SHA
- 52c0cf0d
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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. -->
bert-injury-classifier
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6915
- Accuracy: 0.5298
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: 5e-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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6676 | 1.0 | 19026 | 0.6635 | 0.6216 |
| 0.6915 | 2.0 | 38052 | 0.6915 | 0.5298 |
| 0.6924 | 3.0 | 57078 | 0.6915 | 0.5298 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.10.0+cu111
- Datasets 1.18.2
- Tokenizers 0.11.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Mar 2, 2022
- Updated
- Feb 2, 2022