---
base_model: apanc/russian-inappropriate-messages
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ed_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. -->

# ed_model

This model is a fine-tuned version of [apanc/russian-inappropriate-messages](https://huggingface.co/apanc/russian-inappropriate-messages) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2974
- Accuracy: 0.8833

## 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: 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 15   | 0.3543          | 0.8333   |
| No log        | 2.0   | 30   | 0.2974          | 0.8833   |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.13.1
- Tokenizers 0.19.1