---
license: mit
base_model: ai-forever/ruElectra-small
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: electra128
  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. -->

# electra128

This model is a fine-tuned version of [ai-forever/ruElectra-small](https://huggingface.co/ai-forever/ruElectra-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2154
- Accuracy: 0.5134

## 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: 1e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4844        | 1.0   | 1407 | 1.4000          | 0.4018   |
| 1.3624        | 2.0   | 2814 | 1.3090          | 0.4629   |
| 1.2965        | 3.0   | 4221 | 1.2579          | 0.4897   |
| 1.2577        | 4.0   | 5628 | 1.2271          | 0.5062   |
| 1.2402        | 5.0   | 7035 | 1.2154          | 0.5134   |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1