| --- |
| license: apache-2.0 |
| base_model: allenai/longformer-base-4096 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - f1 |
| model-index: |
| - name: scotusPRED |
| 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. --> |
|
|
| # scotusPRED |
|
|
| This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6335 |
| - Accuracy: 0.6735 |
| - F1: 0.0 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
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|
| ## Training and evaluation data |
|
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| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - train_batch_size: 4 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 8 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 200 |
| - num_epochs: 1 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:---:| |
| | 0.6824 | 1.0 | 195 | 0.6335 | 0.6735 | 0.0 | |
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|
| ### Framework versions |
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|
| - Transformers 4.39.3 |
| - Pytorch 2.2.2+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
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|
