transformers pytorch bert fill-mask generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
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: 1.2484

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.099         | 1.0   | 291  | 1.6869          |
| 1.6375        | 2.0   | 582  | 1.4308          |
| 1.4841        | 3.0   | 873  | 1.3859          |
| 1.397         | 4.0   | 1164 | 1.3731          |
| 1.3394        | 5.0   | 1455 | 1.1839          |
| 1.2819        | 6.0   | 1746 | 1.2912          |
| 1.2403        | 7.0   | 2037 | 1.2614          |
| 1.1983        | 8.0   | 2328 | 1.2071          |
| 1.1653        | 9.0   | 2619 | 1.1822          |
| 1.1407        | 10.0  | 2910 | 1.2134          |
| 1.1275        | 11.0  | 3201 | 1.2029          |
| 1.1064        | 12.0  | 3492 | 1.1685          |
| 1.0799        | 13.0  | 3783 | 1.2484          |
| 1.0776        | 14.0  | 4074 | 1.1658          |
| 1.0634        | 15.0  | 4365 | 1.1192          |
| 1.0607        | 16.0  | 4656 | 1.2484          |


### Framework versions

- Transformers 4.16.2
- Pytorch 1.12.1
- Datasets 2.8.0
- Tokenizers 0.10.3
