---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: rus_gpt2_2_epoch
  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_2_epoch

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: 2.7019

## 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
- 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 |
|:-------------:|:------:|:-----:|:---------------:|
| 4.2111        | 0.2411 | 2000  | 3.5603          |
| 3.5259        | 0.4821 | 4000  | 3.3412          |
| 3.3625        | 0.7232 | 6000  | 3.2120          |
| 3.2367        | 0.9642 | 8000  | 3.0991          |
| 3.1018        | 1.2053 | 10000 | 2.9778          |
| 2.9743        | 1.4463 | 12000 | 2.8497          |
| 2.8518        | 1.6874 | 14000 | 2.7453          |
| 2.7705        | 1.9284 | 16000 | 2.7019          |


### Framework versions

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