| | --- |
| | 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 |
| |
|
