|
--- |
|
base_model: deepset/bert-base-cased-squad2 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: test-bert-2 |
|
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. --> |
|
|
|
# test-bert-2 |
|
|
|
This model is a fine-tuned version of [deepset/bert-base-cased-squad2](https://huggingface.co./deepset/bert-base-cased-squad2) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 11.9673 |
|
|
|
## 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: 3e-05 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 1 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 10.9875 | 0.09 | 5 | 12.2820 | |
|
| 10.8852 | 0.18 | 10 | 12.2237 | |
|
| 10.4256 | 0.27 | 15 | 12.1709 | |
|
| 10.7823 | 0.36 | 20 | 12.1247 | |
|
| 10.6526 | 0.45 | 25 | 12.0841 | |
|
| 10.7789 | 0.55 | 30 | 12.0501 | |
|
| 10.1529 | 0.64 | 35 | 12.0217 | |
|
| 10.0756 | 0.73 | 40 | 11.9991 | |
|
| 10.4683 | 0.82 | 45 | 11.9829 | |
|
| 10.2829 | 0.91 | 50 | 11.9721 | |
|
| 10.5809 | 1.0 | 55 | 11.9673 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.1 |
|
- Pytorch 2.1.0+cu118 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.14.1 |
|
|
