|
--- |
|
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: 1.2458 |
|
|
|
## 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 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 2.0996 | 1.0 | 291 | 1.6936 | |
|
| 1.6403 | 2.0 | 582 | 1.4266 | |
|
| 1.4875 | 3.0 | 873 | 1.3924 | |
|
| 1.399 | 4.0 | 1164 | 1.3820 | |
|
| 1.3415 | 5.0 | 1455 | 1.2009 | |
|
| 1.2812 | 6.0 | 1746 | 1.2759 | |
|
| 1.2396 | 7.0 | 2037 | 1.2623 | |
|
| 1.1992 | 8.0 | 2328 | 1.2106 | |
|
| 1.1661 | 9.0 | 2619 | 1.1873 | |
|
| 1.1402 | 10.0 | 2910 | 1.2241 | |
|
| 1.1294 | 11.0 | 3201 | 1.2056 | |
|
| 1.1042 | 12.0 | 3492 | 1.1628 | |
|
| 1.0827 | 13.0 | 3783 | 1.2517 | |
|
| 1.0743 | 14.0 | 4074 | 1.1699 | |
|
| 1.0626 | 15.0 | 4365 | 1.1190 | |
|
| 1.0626 | 16.0 | 4656 | 1.2458 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.21.0 |
|
- Pytorch 1.12.0+cu113 |
|
- Datasets 2.4.0 |
|
- Tokenizers 0.12.1 |
|
|
