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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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