---
license: cc-by-sa-4.0
base_model: nlpaueb/legal-bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: Day2
  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. -->

# Day2

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: 0.4956
- eval_Accuracy: 0.9035
- eval_F1_macro: 0.5229
- eval_F1_class_0: 0.0
- eval_F1_class_1: 0.0
- eval_F1_class_2: 0.9289
- eval_F1_class_3: 0.6667
- eval_F1_class_4: 0.9910
- eval_F1_class_5: 0.6667
- eval_F1_class_6: 0.0
- eval_F1_class_7: 0.5
- eval_F1_class_8: 0.0
- eval_F1_class_9: 0.0
- eval_F1_class_10: 0.0
- eval_F1_class_11: 0.9
- eval_F1_class_12: 0.6
- eval_F1_class_13: 0.9645
- eval_F1_class_14: 0.7500
- eval_F1_class_15: 0.8667
- eval_F1_class_16: 0.9302
- eval_F1_class_17: 1.0
- eval_F1_class_18: 0.8605
- eval_F1_class_19: 0.6667
- eval_F1_class_20: 0.9508
- eval_F1_class_21: 0.7692
- eval_F1_class_22: 0.0
- eval_F1_class_23: 0.6667
- eval_F1_class_24: 0.8333
- eval_F1_class_25: 0.5714
- eval_F1_class_26: 0.9231
- eval_F1_class_27: 0.9828
- eval_F1_class_28: 0.0
- eval_F1_class_29: 0.9500
- eval_F1_class_30: 0.0
- eval_F1_class_31: 0.0
- eval_F1_class_32: 0.5
- eval_F1_class_33: 0.5
- eval_F1_class_34: 0.8571
- eval_F1_class_35: 0.8547
- eval_F1_class_36: 0.8727
- eval_F1_class_37: 0.5
- eval_F1_class_38: 0.8837
- eval_F1_class_39: 0.7619
- eval_F1_class_40: 0.0
- eval_F1_class_41: 0.4444
- eval_F1_class_42: 0.0
- eval_F1_class_43: 0.0
- eval_F1_class_44: 0.0
- eval_F1_class_45: 0.7500
- eval_F1_class_46: 0.3333
- eval_F1_class_47: 0.7556
- eval_F1_class_48: 0.8679
- eval_F1_class_49: 1.0
- eval_F1_class_50: 0.8571
- eval_F1_class_51: 0.0
- eval_F1_class_52: 0.0
- eval_F1_class_53: 0.8
- eval_F1_class_54: 0.4
- eval_F1_class_55: 0.0
- eval_F1_class_56: 0.9082
- eval_F1_class_57: 0.0
- eval_F1_class_58: 0.6667
- eval_F1_class_59: 1.0
- eval_F1_class_60: 0.0
- eval_F1_class_61: 0.0
- eval_F1_class_62: 0.9747
- eval_F1_class_63: 0.0
- eval_F1_class_64: 0.8966
- eval_F1_class_65: 1.0
- eval_F1_class_66: 0.8
- eval_F1_class_67: 0.0
- eval_F1_class_68: 0.0
- eval_F1_class_69: 0.0
- eval_F1_class_70: 1.0
- eval_runtime: 61.7038
- eval_samples_per_second: 32.235
- eval_steps_per_second: 2.026
- epoch: 6.64
- step: 3300

## 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: 10

### Framework versions

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