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---
license: cc-by-sa-4.0
base_model: raminass/scotus-v10
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: SCOTUS_AI_V15
results: []
---
<!-- 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_V15
This model is a fine-tuned version of [raminass/scotus-v10](https://huggingface.co/raminass/scotus-v10) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0214
- Accuracy: 0.9954
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6856 | 1.0 | 2504 | 0.4083 | 0.8876 |
| 0.4313 | 2.0 | 5008 | 0.2375 | 0.9321 |
| 0.2564 | 3.0 | 7512 | 0.1136 | 0.9686 |
| 0.1662 | 4.0 | 10016 | 0.0553 | 0.9863 |
| 0.0966 | 5.0 | 12520 | 0.0432 | 0.9889 |
| 0.0604 | 6.0 | 15024 | 0.0278 | 0.9935 |
| 0.0372 | 7.0 | 17528 | 0.0214 | 0.9954 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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