---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-tiny-finetuned-pile-of-law-tos
  results: []
---

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# bert-tiny-finetuned-pile-of-law-tos

This model is a MLM fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the [pile-of-law/tos](https://huggingface.co/datasets/pile-of-law/pile-of-law) dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3545

## 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 264  | 3.5896          |
| 3.8119        | 2.0   | 528  | 3.5598          |
| 3.8119        | 3.0   | 792  | 3.5263          |
| 3.7028        | 4.0   | 1056 | 3.4982          |
| 3.7028        | 5.0   | 1320 | 3.5170          |
| 3.6286        | 6.0   | 1584 | 3.5143          |
| 3.6286        | 7.0   | 1848 | 3.4477          |
| 3.553         | 8.0   | 2112 | 3.4044          |
| 3.553         | 9.0   | 2376 | 3.4670          |
| 3.5179        | 10.0  | 2640 | 3.3991          |
| 3.5179        | 11.0  | 2904 | 3.4330          |
| 3.4784        | 12.0  | 3168 | 3.4671          |
| 3.4784        | 13.0  | 3432 | 3.3489          |
| 3.4535        | 14.0  | 3696 | 3.4354          |
| 3.4535        | 15.0  | 3960 | 3.4023          |


### Framework versions

- Transformers 4.21.0
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1