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# 94-23

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:
- eval_loss: 1.1690
- eval_accuracy: 0.7526
- eval_runtime: 32.6521
- eval_samples_per_second: 104.128
- eval_steps_per_second: 6.523
- epoch: 3.0
- step: 3189

## 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

### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "cc-by-sa-4.0", "tags": ["generated_from_trainer"], "base_model": "raminass/scotus-v10", "model-index": [{"name": "94-23", "results": []}]}
transformers tensorboard safetensors bert text-classification generated_from_trainer base_model:raminass/scotus-v10 license:cc-by-sa-4.0 autotrain_compatible endpoints_compatible region:us