pytorch bert fill-mask transformers generated_from_trainer license:apache-2.0 model-index autotrain_compatible
---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-issues-128
  results: []
---

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# bert-base-uncased-issues-128

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2314

## 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: 5e-05
- train_batch_size: 64
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.193         | 1.0   | 146  | 1.7004          |
| 1.7081        | 2.0   | 292  | 1.4895          |
| 1.5458        | 3.0   | 438  | 1.4427          |
| 1.4715        | 4.0   | 584  | 1.4081          |
| 1.3944        | 5.0   | 730  | 1.3163          |
| 1.3396        | 6.0   | 876  | 1.3200          |
| 1.2945        | 7.0   | 1022 | 1.2785          |
| 1.2652        | 8.0   | 1168 | 1.2473          |
| 1.2332        | 9.0   | 1314 | 1.2321          |
| 1.2042        | 10.0  | 1460 | 1.2162          |
| 1.204         | 11.0  | 1606 | 1.1781          |
| 1.1866        | 12.0  | 1752 | 1.2211          |
| 1.1592        | 13.0  | 1898 | 1.2801          |
| 1.1503        | 14.0  | 2044 | 1.1768          |
| 1.1268        | 15.0  | 2190 | 1.1657          |
| 1.1521        | 16.0  | 2336 | 1.2314          |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0
- Datasets 2.2.3.dev0
- Tokenizers 0.12.1
