---
license: apache-2.0
base_model: google/electra-small-generator
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: google-electra-small-generator
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# google-electra-small-generator

This model is a fine-tuned version of [google/electra-small-generator](https://huggingface.co/google/electra-small-generator) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1473
- Accuracy: 0.9565

## 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: 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3362        | 1.0   | 873  | 0.1886          | 0.9464   |
| 0.1753        | 2.0   | 1746 | 0.1779          | 0.9516   |
| 0.1268        | 3.0   | 2619 | 0.1473          | 0.9565   |
| 0.0967        | 4.0   | 3492 | 0.1506          | 0.9676   |
| 0.0741        | 5.0   | 4365 | 0.1493          | 0.9708   |
| 0.0497        | 6.0   | 5238 | 0.1835          | 0.9659   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3