---
library_name: transformers
license: mit
base_model: ai-forever/ruElectra-large
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: electra_test
  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. -->

# electra_test

This model is a fine-tuned version of [ai-forever/ruElectra-large](https://huggingface.co/ai-forever/ruElectra-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0062
- F1: 0.7532

## 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: 5e-05
- train_batch_size: 64
- eval_batch_size: 32
- 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 | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.5713        | 1.0   | 515  | 0.5318          | 0.7528 |
| 0.4262        | 2.0   | 1030 | 0.6691          | 0.7530 |
| 0.256         | 3.0   | 1545 | 0.7394          | 0.7635 |
| 0.1025        | 4.0   | 2060 | 1.0062          | 0.7532 |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0