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SCOTUS_AI_V17_CURCUIT_V1
raminass/SCOTUS_AI_V17_CURCUIT_V1
SCOTUS_AI_V17_CURCUIT_V1 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 12, 2024
- Updated
- Mar 12, 2024
- SHA
- f2bcbec7
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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. -->
SCOTUS_AI_V17_CURCUIT_V1
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: 1.3007
- Accuracy: 0.7500
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 |
|---|---|---|---|---|
| 0.7967 | 1.0 | 2167 | 0.9836 | 0.7086 |
| 0.4558 | 2.0 | 4334 | 0.8871 | 0.7430 |
| 0.2722 | 3.0 | 6501 | 0.9650 | 0.7471 |
| 0.146 | 4.0 | 8668 | 1.0709 | 0.7484 |
| 0.1076 | 5.0 | 10835 | 1.2135 | 0.7444 |
| 0.0591 | 6.0 | 13002 | 1.2494 | 0.7522 |
| 0.0454 | 7.0 | 15169 | 1.3007 | 0.7500 |
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
- cc-by-sa-4.0
- Created
- Mar 12, 2024
- Updated
- Mar 12, 2024