---
tags:
- generated_from_trainer
model-index:
- name: rus_gpt2_continued
  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. -->

# rus_gpt2_continued

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5007

## 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: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 3.1129        | 0.1698 | 1000  | 3.0504          |
| 3.0676        | 0.3396 | 2000  | 3.0015          |
| 3.0157        | 0.5094 | 3000  | 2.9528          |
| 2.9646        | 0.6792 | 4000  | 2.9015          |
| 2.9108        | 0.8490 | 5000  | 2.8427          |
| 2.8472        | 1.0188 | 6000  | 2.7835          |
| 2.7629        | 1.1886 | 7000  | 2.7155          |
| 2.6931        | 1.3583 | 8000  | 2.6456          |
| 2.6264        | 1.5281 | 9000  | 2.5798          |
| 2.5615        | 1.6979 | 10000 | 2.5268          |
| 2.5206        | 1.8677 | 11000 | 2.5007          |


### Framework versions

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