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azahead-longformer-v1.0
zwellington/azahead-longformer-v1.0
azahead-longformer-v1.0 is a text classification model from zwellington. 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
- longformer
- Access
- Public
- Created
- Apr 3, 2024
- Updated
- Apr 3, 2024
- SHA
- e91e773d
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Base models
Datasets
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. -->
azahead-longformer-v1.0
This model is a fine-tuned version of allenai/longformer-base-4096 on the azaheadhealth dataset. It achieves the following results on the evaluation set:
- Loss: 0.6326
- Accuracy: 0.7917
- F1: 0.6667
- Precision: 0.625
- Recall: 0.7143
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.6853 | 1.0 | 20 | 0.6326 | 0.7917 | 0.6667 | 0.625 | 0.7143 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.2.1+cu121
- Datasets 2.16.1
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- longformer
- License
- apache-2.0
- Created
- Apr 3, 2024
- Updated
- Apr 3, 2024