---
base_model: DeepPavlov/rubert-base-cased-conversational
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_model
  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. -->

# my_model

This model is a fine-tuned version of [DeepPavlov/rubert-base-cased-conversational](https://huggingface.co/DeepPavlov/rubert-base-cased-conversational) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1517
- Accuracy: 0.9568

## 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: 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7699        | 1.0   | 881  | 0.2688          | 0.9057   |
| 0.268         | 2.0   | 1762 | 0.1825          | 0.9412   |
| 0.1903        | 3.0   | 2643 | 0.1592          | 0.9497   |
| 0.1528        | 4.0   | 3524 | 0.1506          | 0.9526   |
| 0.133         | 5.0   | 4405 | 0.1448          | 0.9551   |
| 0.1104        | 6.0   | 5286 | 0.1410          | 0.9579   |
| 0.0965        | 7.0   | 6167 | 0.1517          | 0.9568   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1