---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- policies
model-index:
- name: bert-large-uncased-whole-word-masking-finetuned-policy-number
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-large-uncased-whole-word-masking-finetuned-policy-number

This model is a fine-tuned version of [bert-large-uncased-whole-word-masking-finetuned-squad](https://huggingface.co/bert-large-uncased-whole-word-masking-finetuned-squad) on the policies dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 282  | 0.0031          |
| 0.0049        | 2.0   | 564  | 0.0000          |
| 0.0049        | 3.0   | 846  | 0.0000          |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.8.0
- Tokenizers 0.13.2