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

# teacher_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: 0.3884

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.8696        | 0.35  | 3000  | 0.5508          |
| 0.5071        | 0.71  | 6000  | 0.4578          |
| 0.448         | 1.06  | 9000  | 0.4210          |
| 0.4084        | 1.41  | 12000 | 0.4109          |
| 0.3878        | 1.77  | 15000 | 0.3913          |
| 0.3832        | 2.12  | 18000 | 0.3884          |
| 0.3529        | 2.47  | 21000 | 0.3900          |
| 0.3492        | 2.83  | 24000 | 0.3884          |


### Framework versions

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