---
base_model: ai-forever/rugpt3small_based_on_gpt2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: output
  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. -->

# output

This model is a fine-tuned version of [ai-forever/rugpt3small_based_on_gpt2](https://huggingface.co/ai-forever/rugpt3small_based_on_gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7083
- Accuracy: 0.5209

## 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: 1.41e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 24
- total_train_batch_size: 192
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7676        | 0.13  | 50   | 0.7502          | 0.4717   |
| 0.7482        | 0.25  | 100  | 0.7369          | 0.4830   |
| 0.7414        | 0.38  | 150  | 0.7276          | 0.4915   |
| 0.7261        | 0.5   | 200  | 0.7205          | 0.5062   |
| 0.7272        | 0.63  | 250  | 0.7143          | 0.5132   |
| 0.7209        | 0.76  | 300  | 0.7106          | 0.5148   |
| 0.7218        | 0.88  | 350  | 0.7083          | 0.5209   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0