---
library_name: transformers
base_model: ai-forever/rugpt3small_based_on_gpt2
tags:
- generated_from_trainer
model-index:
- name: aristotle_csv3
  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. -->

# aristotle_csv3

This model is a fine-tuned version of [ai-forever/rugpt3small_based_on_gpt2](https://huggingface.co/ai-forever/rugpt3small_based_on_gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.5019

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAFACTOR and the args are:
No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.1139        | 1.0   | 203  | 3.7183          |
| 3.5598        | 2.0   | 406  | 3.4522          |
| 3.2762        | 3.0   | 609  | 3.3321          |
| 3.0039        | 4.0   | 812  | 3.3035          |
| 2.7239        | 5.0   | 1015 | 3.2801          |
| 2.4871        | 6.0   | 1218 | 3.3728          |
| 2.277         | 7.0   | 1421 | 3.4348          |
| 2.1079        | 8.0   | 1624 | 3.5019          |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.0
- Tokenizers 0.21.0