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-mlm
  results: []
---

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# bert-base-uncased-mlm

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7425

## 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: 32
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2248        | 1.0   | 38   | 1.9818          |
| 1.9124        | 2.0   | 76   | 1.8334          |
| 1.8166        | 3.0   | 114  | 1.7863          |
| 1.7414        | 4.0   | 152  | 1.9024          |
| 1.6727        | 5.0   | 190  | 1.7832          |
| 1.5969        | 6.0   | 228  | 1.8033          |
| 1.5023        | 7.0   | 266  | 1.5792          |
| 1.4593        | 8.0   | 304  | 1.7809          |
| 1.4825        | 9.0   | 342  | 1.6362          |
| 1.3928        | 10.0  | 380  | 1.6409          |
| 1.386         | 11.0  | 418  | 1.6855          |
| 1.3579        | 12.0  | 456  | 1.7348          |
| 1.2951        | 13.0  | 494  | 1.6956          |
| 1.3187        | 14.0  | 532  | 1.8408          |
| 1.3065        | 15.0  | 570  | 1.6207          |
| 1.3496        | 16.0  | 608  | 1.7425          |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6
