|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: bert-base-uncased-issues-128 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# 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: 1.1389 |
|
|
|
## 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: 8 |
|
- eval_batch_size: 32 |
|
- 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 | |
|
|:-------------:|:-----:|:-----:|:---------------:| |
|
| 1.9863 | 1.0 | 1163 | 1.5917 | |
|
| 1.579 | 2.0 | 2326 | 1.4668 | |
|
| 1.4305 | 3.0 | 3489 | 1.3947 | |
|
| 1.3367 | 4.0 | 4652 | 1.2889 | |
|
| 1.2748 | 5.0 | 5815 | 1.3377 | |
|
| 1.2184 | 6.0 | 6978 | 1.3370 | |
|
| 1.1708 | 7.0 | 8141 | 1.2595 | |
|
| 1.1309 | 8.0 | 9304 | 1.3044 | |
|
| 1.0896 | 9.0 | 10467 | 1.2314 | |
|
| 1.0614 | 10.0 | 11630 | 1.1699 | |
|
| 1.0296 | 11.0 | 12793 | 1.2066 | |
|
| 0.9896 | 12.0 | 13956 | 1.2158 | |
|
| 0.983 | 13.0 | 15119 | 1.1289 | |
|
| 0.9619 | 14.0 | 16282 | 1.1427 | |
|
| 0.9387 | 15.0 | 17445 | 1.0767 | |
|
| 0.9205 | 16.0 | 18608 | 1.1389 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.20.1 |
|
- Pytorch 1.11.0+cu102 |
|
- Datasets 2.2.1 |
|
- Tokenizers 0.12.1 |
|
|
