---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: legalbert-large-1.7M-1_class_actions
  results: []
---

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# legalbert-large-1.7M-1_class_actions

This model is a fine-tuned version of [pile-of-law/legalbert-large-1.7M-1](https://huggingface.co/pile-of-law/legalbert-large-1.7M-1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6901
- Accuracy: 0.55

## 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: 14

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 150  | 0.6892          | 0.55     |
| No log        | 2.0   | 300  | 0.6913          | 0.55     |
| No log        | 3.0   | 450  | 0.7061          | 0.45     |
| 0.7143        | 4.0   | 600  | 0.6908          | 0.55     |
| 0.7143        | 5.0   | 750  | 0.6925          | 0.55     |
| 0.7143        | 6.0   | 900  | 0.6951          | 0.45     |
| 0.7164        | 7.0   | 1050 | 0.6893          | 0.55     |
| 0.7164        | 8.0   | 1200 | 0.6884          | 0.55     |
| 0.7164        | 9.0   | 1350 | 0.6910          | 0.55     |
| 0.7042        | 10.0  | 1500 | 0.6882          | 0.55     |
| 0.7042        | 11.0  | 1650 | 0.7099          | 0.45     |
| 0.7042        | 12.0  | 1800 | 0.6910          | 0.55     |
| 0.7042        | 13.0  | 1950 | 0.6910          | 0.55     |
| 0.6999        | 14.0  | 2100 | 0.6901          | 0.55     |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3