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jb_sytem_bin_judge_base_wmdo
GeorgeDaDude/jb_sytem_bin_judge_base_wmdo
jb_sytem_bin_judge_base_wmdo is a text classification model from GeorgeDaDude. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- May 27, 2024
- Updated
- May 27, 2024
- SHA
- 082846e0
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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. -->
jb_sytem_bin_judge_base_wmdo
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4177
- Accuracy: 0.9052
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
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4508 | 1.0 | 1281 | 0.4957 | 0.8718 |
| 0.3523 | 2.0 | 2562 | 0.3817 | 0.8894 |
| 0.2394 | 3.0 | 3843 | 0.3685 | 0.8903 |
| 0.1632 | 4.0 | 5124 | 0.4015 | 0.9034 |
| 0.411 | 5.0 | 6405 | 0.4177 | 0.9052 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- May 27, 2024
- Updated
- May 27, 2024