|
|
--- |
|
|
license: apache-2.0 |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: door_inner_with_SA-bert-base-uncased |
|
|
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. --> |
|
|
|
|
|
# door_inner_with_SA-bert-base-uncased |
|
|
|
|
|
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: 2.1513 |
|
|
|
|
|
## 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: 2e-05 |
|
|
- train_batch_size: 6 |
|
|
- eval_batch_size: 6 |
|
|
- seed: 42 |
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
|
- lr_scheduler_type: linear |
|
|
- num_epochs: 12 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|
|:-------------:|:-----:|:----:|:---------------:| |
|
|
| 2.5492 | 1.0 | 96 | 2.3831 | |
|
|
| 2.4031 | 2.0 | 192 | 2.2963 | |
|
|
| 2.3391 | 3.0 | 288 | 2.2000 | |
|
|
| 2.2951 | 4.0 | 384 | 2.2505 | |
|
|
| 2.2151 | 5.0 | 480 | 2.1691 | |
|
|
| 2.2237 | 6.0 | 576 | 2.1855 | |
|
|
| 2.1984 | 7.0 | 672 | 2.2558 | |
|
|
| 2.1749 | 8.0 | 768 | 2.2019 | |
|
|
| 2.1475 | 9.0 | 864 | 2.1310 | |
|
|
| 2.1446 | 10.0 | 960 | 2.1334 | |
|
|
| 2.1374 | 11.0 | 1056 | 2.1909 | |
|
|
| 2.1117 | 12.0 | 1152 | 2.2028 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.19.0 |
|
|
- Pytorch 1.11.0+cu113 |
|
|
- Datasets 2.2.1 |
|
|
- Tokenizers 0.12.1 |
|
|
|
