---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ruBert-base-russian-emotions-classifier-goEmotions
  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. -->

# ruBert-base-russian-emotions-classifier-goEmotions

This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.co/ai-forever/ruBert-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2606
- Accuracy: 0.8950

## 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: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1755        | 1.0   | 1685 | 0.1717          | 0.9220   |
| 0.1391        | 2.0   | 3370 | 0.1757          | 0.9240   |
| 0.0899        | 3.0   | 5055 | 0.2088          | 0.9106   |
| 0.0538        | 4.0   | 6740 | 0.2464          | 0.8953   |
| 0.0344        | 5.0   | 8425 | 0.2606          | 0.8950   |


### Framework versions

- Transformers 4.24.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.11.0