|
|
--- |
|
|
license: apache-2.0 |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- f1 |
|
|
model-index: |
|
|
- name: electra-distilled-qa |
|
|
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. --> |
|
|
|
|
|
# electra-distilled-qa |
|
|
|
|
|
This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Exact: 68.1799 |
|
|
- F1: 71.7591 |
|
|
- Total: 11873 |
|
|
- Hasans Exact: 70.3441 |
|
|
- Hasans F1: 77.5129 |
|
|
- Hasans Total: 5928 |
|
|
- Noans Exact: 66.0219 |
|
|
- Noans F1: 66.0219 |
|
|
- Noans Total: 5945 |
|
|
- Best Exact: 68.1799 |
|
|
- Best Exact Thresh: 0.0 |
|
|
- Best F1: 71.7591 |
|
|
- Best F1 Thresh: 0.0 |
|
|
- Loss: No log |
|
|
|
|
|
## 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: 4.244429373516175e-05 |
|
|
- train_batch_size: 128 |
|
|
- eval_batch_size: 128 |
|
|
- seed: 33 |
|
|
- 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 | | Exact | F1 | Total | Exact Thresh | F1 Thresh | Validation Loss | |
|
|
|:-------------:|:-----:|:-----:|:-----:|:-------:|:-------:|:-----:|:------------:|:---------:|:---------------:| |
|
|
| 1.9086 | 1.0 | 1030 | 11873 | 57.9719 | 62.0421 | 5945 | 0.0 | 0.0 | No log | |
|
|
| 1.2919 | 2.0 | 2060 | 11873 | 66.8155 | 70.0115 | 5945 | 0.0 | 0.0 | No log | |
|
|
| 1.1194 | 3.0 | 3090 | 11873 | 66.8070 | 70.1755 | 5945 | 0.0 | 0.0 | No log | |
|
|
| 1.0051 | 4.0 | 4120 | 11873 | 68.9632 | 72.4292 | 5945 | 0.0 | 0.0 | No log | |
|
|
| 0.9191 | 5.0 | 5150 | 11873 | 67.9609 | 71.3639 | 5945 | 0.0 | 0.0 | No log | |
|
|
| 0.8562 | 6.0 | 6180 | 11873 | 69.5949 | 72.9986 | 5945 | 0.0 | 0.0 | No log | |
|
|
| 0.8017 | 7.0 | 7210 | 11873 | 68.6095 | 72.2303 | 5945 | 0.0 | 0.0 | No log | |
|
|
| 0.7554 | 8.0 | 8240 | 11873 | 67.4556 | 71.0028 | 5945 | 0.0 | 0.0 | No log | |
|
|
| 0.7196 | 9.0 | 9270 | 11873 | 68.0788 | 71.6887 | 5945 | 0.0 | 0.0 | No log | |
|
|
| 0.6914 | 10.0 | 10300 | 11873 | 68.6431 | 72.1849 | 5945 | 0.0 | 0.0 | No log | |
|
|
| 0.6687 | 11.0 | 11330 | 11873 | 68.2473 | 71.7832 | 5945 | 0.0 | 0.0 | No log | |
|
|
| 0.6517 | 12.0 | 12360 | 11873 | 68.1799 | 71.7591 | 5945 | 0.0 | 0.0 | No log | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.28.1 |
|
|
- Pytorch 2.2.1+cu121 |
|
|
- Datasets 2.19.0 |
|
|
- Tokenizers 0.13.3 |
|
|
|
