---
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