---
license: cc-by-sa-4.0
base_model: nlpaueb/legal-bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: FlavioNoEng
  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. -->

# FlavioNoEng

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:
- eval_loss: 0.4980
- eval_Accuracy: 0.8841
- eval_F1_macro: 0.7387
- eval_F1_class_0: 0.9302
- eval_F1_class_1: 0.0
- eval_F1_class_2: 0.8950
- eval_F1_class_3: 0.8000
- eval_F1_class_4: 0.8000
- eval_F1_class_5: 0.9057
- eval_F1_class_6: 0.7170
- eval_F1_class_7: 0.9663
- eval_F1_class_8: 0.9831
- eval_F1_class_9: 0.7931
- eval_F1_class_10: 0.8483
- eval_F1_class_11: 0.8333
- eval_F1_class_12: 0.7975
- eval_F1_class_13: 0.5714
- eval_F1_class_14: 0.8734
- eval_F1_class_15: 0.3077
- eval_F1_class_16: 0.0
- eval_F1_class_17: 0.9760
- eval_F1_class_18: 0.8525
- eval_F1_class_19: 0.9231
- eval_runtime: 34.849
- eval_samples_per_second: 32.426
- eval_steps_per_second: 2.037
- epoch: 3.93
- step: 2500

## 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: 5

### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3