---
license: apache-2.0
base_model: google/electra-small-discriminator
tags:
- generated_from_trainer
model-index:
- name: student_electra_small
  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. -->

# student_electra_small

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: 0.6385

## 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: 1022
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.2869        | 0.4   | 1200  | 0.9636          |
| 0.9176        | 0.81  | 2400  | 0.8391          |
| 0.7991        | 1.21  | 3600  | 0.7501          |
| 0.7191        | 1.62  | 4800  | 0.6928          |
| 0.6846        | 2.02  | 6000  | 0.6669          |
| 0.6356        | 2.43  | 7200  | 0.6525          |
| 0.6087        | 2.83  | 8400  | 0.6383          |
| 0.5962        | 3.24  | 9600  | 0.6397          |
| 0.5749        | 3.64  | 10800 | 0.6385          |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.0
- Datasets 2.12.0
- Tokenizers 0.13.2