---
tags:
- generated_from_trainer
model-index:
- name: distil-electra-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. -->

# distil-electra-qa

This model is a fine-tuned version of [lsanochkin/distilelectra-base](https://huggingface.co/lsanochkin/distilelectra-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6058

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0323        | 1.0   | 1883 | 1.7828          |
| 1.6154        | 2.0   | 3766 | 1.6530          |
| 1.43          | 3.0   | 5649 | 1.6058          |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.11.0+cu102
- Datasets 2.8.0
- Tokenizers 0.13.2