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SCOTUS_AI_V17_EVAL
raminass/SCOTUS_AI_V17_EVAL
SCOTUS_AI_V17_EVAL is a text classification model from raminass. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-sa-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- cc-by-sa-4.0
- Model type
- bert
- Access
- Public
- Created
- Mar 15, 2024
- Updated
- Mar 15, 2024
- SHA
- cd42e979
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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. -->
SCOTUS_AI_V17_EVAL
This model is a fine-tuned version of raminass/scotus-v10 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3780
- Accuracy: 0.7424
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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7601 | 1.0 | 2170 | 0.9876 | 0.7125 |
| 0.424 | 2.0 | 4340 | 0.9416 | 0.7402 |
| 0.234 | 3.0 | 6510 | 1.0710 | 0.7331 |
| 0.1468 | 4.0 | 8680 | 1.1802 | 0.7372 |
| 0.0919 | 5.0 | 10850 | 1.2363 | 0.7443 |
| 0.0641 | 6.0 | 13020 | 1.3653 | 0.7396 |
| 0.0393 | 7.0 | 15190 | 1.3780 | 0.7424 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- cc-by-sa-4.0
- Created
- Mar 15, 2024
- Updated
- Mar 15, 2024