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---
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased
results: []
---
# bert-base-uncased
This model was trained on a dataset of issues from github.
It achieves the following results on the evaluation set:
- Loss: 1.2437
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
Masked language model trained on github issue data with token length of 128.
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 1
- 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 2.205 | 1.0 | 9303 | 1.7893 |
| 1.8417 | 2.0 | 18606 | 1.7270 |
| 1.7103 | 3.0 | 27909 | 1.6650 |
| 1.6014 | 4.0 | 37212 | 1.6052 |
| 1.523 | 5.0 | 46515 | 1.5782 |
| 1.4588 | 6.0 | 55818 | 1.4836 |
| 1.3922 | 7.0 | 65121 | 1.4289 |
| 1.317 | 8.0 | 74424 | 1.4414 |
| 1.2622 | 9.0 | 83727 | 1.4322 |
| 1.2123 | 10.0 | 93030 | 1.3651 |
| 1.1753 | 11.0 | 102333 | 1.3636 |
| 1.1164 | 12.0 | 111636 | 1.2872 |
| 1.0636 | 13.0 | 120939 | 1.3705 |
| 1.021 | 14.0 | 130242 | 1.3013 |
| 0.996 | 15.0 | 139545 | 1.2756 |
| 0.9625 | 16.0 | 148848 | 1.2437 |
### Framework versions
- Transformers 4.14.1
- Pytorch 1.9.0
- Datasets 1.11.0
- Tokenizers 0.10.3
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