---
license: mit
base_model: ai-forever/ruElectra-medium
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: electra128b128l
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# electra128b128l

This model is a fine-tuned version of [ai-forever/ruElectra-medium](https://huggingface.co/ai-forever/ruElectra-medium) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9516
- Accuracy: 0.6304

## 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2708        | 1.0   | 1407 | 1.1104          | 0.5619   |
| 1.0724        | 2.0   | 2814 | 1.0100          | 0.606    |
| 0.9986        | 3.0   | 4221 | 0.9652          | 0.6258   |
| 0.9596        | 4.0   | 5628 | 0.9516          | 0.6304   |


### Framework versions

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