---
library_name: transformers
license: apache-2.0
base_model: google/electra-small-discriminator
tags:
- generated_from_trainer
model-index:
- name: electra-small-discriminator-finetuned-combined
  results: []
---

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

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:
- Loss: 0.9867

## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.4549        | 1.0   | 3729  | 1.0343          |
| 1.2366        | 2.0   | 7458  | 0.9665          |
| 1.0805        | 3.0   | 11187 | 0.9867          |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.0
- Datasets 3.1.0
- Tokenizers 0.20.3