|
--- |
|
license: cc-by-sa-4.0 |
|
base_model: nlpaueb/legal-bert-base-uncased |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: legal-bert-base-uncased-supreme-court-32batch_5epoch_2e5lr_01wd |
|
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. --> |
|
|
|
# legal-bert-base-uncased-supreme-court-32batch_5epoch_2e5lr_01wd |
|
|
|
This model is a fine-tuned version of [nlpaueb/legal-bert-base-uncased](https://huggingface.co/nlpaueb/legal-bert-base-uncased) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6773 |
|
- Accuracy: 0.5889 |
|
|
|
## 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: 32 |
|
- eval_batch_size: 32 |
|
- seed: 7 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.6868 | 1.0 | 660 | 0.6805 | 0.5889 | |
|
| 0.6863 | 2.0 | 1320 | 0.6779 | 0.5889 | |
|
| 0.6839 | 3.0 | 1980 | 0.6779 | 0.5889 | |
|
| 0.6825 | 4.0 | 2640 | 0.6812 | 0.5889 | |
|
| 0.6838 | 5.0 | 3300 | 0.6773 | 0.5889 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.1 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.14.1 |
|
|
