|
--- |
|
license: apache-2.0 |
|
base_model: bert-base-uncased |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: bert-base-uncased-swag |
|
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-swag |
|
|
|
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.3863 |
|
- Accuracy: 0.2929 |
|
|
|
## 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: 0.0005 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 16 |
|
- seed: 321 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 500 |
|
- num_epochs: 20 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| No log | 1.0 | 63 | 1.4088 | 0.2273 | |
|
| No log | 2.0 | 126 | 1.4448 | 0.2323 | |
|
| No log | 3.0 | 189 | 1.6544 | 0.2323 | |
|
| No log | 4.0 | 252 | 1.8585 | 0.2424 | |
|
| No log | 5.0 | 315 | 1.9976 | 0.2121 | |
|
| No log | 6.0 | 378 | 1.8819 | 0.2071 | |
|
| No log | 7.0 | 441 | 1.3863 | 0.1919 | |
|
| 0.7104 | 8.0 | 504 | 1.3863 | 0.2929 | |
|
| 0.7104 | 9.0 | 567 | 1.3863 | 0.1919 | |
|
| 0.7104 | 10.0 | 630 | 1.3863 | 0.0354 | |
|
| 0.7104 | 11.0 | 693 | 1.3863 | 0.1010 | |
|
| 0.7104 | 12.0 | 756 | 1.3863 | 0.1364 | |
|
| 0.7104 | 13.0 | 819 | 1.3863 | 0.0 | |
|
| 0.7104 | 14.0 | 882 | 1.3863 | 0.1111 | |
|
| 0.7104 | 15.0 | 945 | 1.3863 | 0.0556 | |
|
| 1.4022 | 16.0 | 1008 | 1.3863 | 0.0253 | |
|
| 1.4022 | 17.0 | 1071 | 1.3863 | 0.1970 | |
|
| 1.4022 | 18.0 | 1134 | 1.3863 | 0.0 | |
|
| 1.4022 | 19.0 | 1197 | 1.3863 | 0.0909 | |
|
| 1.4022 | 20.0 | 1260 | 1.3863 | 0.0505 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.0.dev0 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.14.0 |
|
|
