---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: rus_gpt2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# rus_gpt2

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7236

## 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: 0.005
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 4.8953        | 0.1698 | 1000 | 3.4876          |
| 3.367         | 0.3396 | 2000 | 3.1754          |
| 3.1352        | 0.5094 | 3000 | 2.9977          |
| 2.9605        | 0.6792 | 4000 | 2.8416          |
| 2.8138        | 0.8490 | 5000 | 2.7236          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1