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test-trainer-balanced2.0
manatiw/test-trainer-balanced2.0
test-trainer-balanced2.0 is a text classification model from manatiw. 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
- bert
- Access
- Public
- Created
- Mar 5, 2024
- Updated
- Mar 5, 2024
- SHA
- 182207e1
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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. -->
test-trainer-balanced2.0
This model is a fine-tuned version of hfl/rbt3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1422
- Recall: 1.0
- F1: 0.9888
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 | Recall | F1 |
|---|---|---|---|---|---|
| 0.5786 | 1.0 | 36 | 0.3686 | 0.8409 | 0.8810 |
| 0.3371 | 2.0 | 72 | 0.2008 | 0.9773 | 0.9663 |
| 0.2532 | 3.0 | 108 | 0.1422 | 1.0 | 0.9888 |
| 0.208 | 4.0 | 144 | 0.1157 | 0.9773 | 0.9773 |
| 0.1703 | 5.0 | 180 | 0.1041 | 0.9773 | 0.9773 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 5, 2024
- Updated
- Mar 5, 2024