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: 1.2540

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0981        | 1.0   | 291  | 1.6917          |
| 1.6493        | 2.0   | 582  | 1.4357          |
| 1.4831        | 3.0   | 873  | 1.3923          |
| 1.3957        | 4.0   | 1164 | 1.4056          |
| 1.3339        | 5.0   | 1455 | 1.1944          |
| 1.2936        | 6.0   | 1746 | 1.2888          |
| 1.2458        | 7.0   | 2037 | 1.2715          |
| 1.2004        | 8.0   | 2328 | 1.1992          |
| 1.1785        | 9.0   | 2619 | 1.1726          |
| 1.1389        | 10.0  | 2910 | 1.2157          |
| 1.1313        | 11.0  | 3201 | 1.1977          |
| 1.0935        | 12.0  | 3492 | 1.1794          |
| 1.0826        | 13.0  | 3783 | 1.2260          |
| 1.0729        | 14.0  | 4074 | 1.1549          |
| 1.0599        | 15.0  | 4365 | 1.1269          |
| 1.0538        | 16.0  | 4656 | 1.2540          |


### Framework versions

- Transformers 4.11.3
- Pytorch 1.10.2
- Datasets 1.16.1
- Tokenizers 0.10.3
