---
library_name: transformers
base_model: ai-forever/rugpt3small_based_on_gpt2
tags:
- generated_from_trainer
model-index:
- name: aristotle_csv2
  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_csv2

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: 3.3083

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 5.1893        | 1.0   | 129  | 3.9908          |
| 3.6923        | 2.0   | 258  | 3.4627          |
| 3.4284        | 3.0   | 387  | 3.3217          |
| 3.146         | 4.0   | 516  | 3.2514          |
| 2.86          | 5.0   | 645  | 3.2055          |
| 2.6066        | 6.0   | 774  | 3.2279          |
| 2.3943        | 7.0   | 903  | 3.2737          |
| 2.1619        | 8.0   | 1032 | 3.3083          |


### Framework versions

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