---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- finiteautomata/legal-definitions
base_model: google/bert_uncased_L-4_H-512_A-8
model-index:
- name: bert_uncased_L-4_H-512_A-8-finetuned-legal-definitions
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert_uncased_L-4_H-512_A-8-finetuned-legal-definitions

This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8) on the legal-definitions dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5162

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.7317        | 1.0   | 6401  | 1.6642          |
| 1.5578        | 2.0   | 12802 | 1.5784          |
| 1.5051        | 3.0   | 19203 | 1.4970          |


### Framework versions

- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1