---
library_name: peft
tags:
- generated_from_trainer
base_model: ai-forever/rugpt3large_based_on_gpt2
model-index:
- name: rugpt3large_5epoch_withval
  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. -->

# rugpt3large_5epoch_withval

This model is a fine-tuned version of [ai-forever/rugpt3large_based_on_gpt2](https://huggingface.co/ai-forever/rugpt3large_based_on_gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6271

## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step   | Validation Loss |
|:-------------:|:------:|:------:|:---------------:|
| 3.738         | 1.0000 | 24244  | 3.6641          |
| 3.7271        | 2.0000 | 48488  | 3.6466          |
| 3.7072        | 3.0    | 72733  | 3.6372          |
| 3.6851        | 4.0000 | 96977  | 3.6301          |
| 3.6827        | 4.9999 | 121220 | 3.6271          |


### Framework versions

- PEFT 0.11.2.dev0
- Transformers 4.42.0.dev0
- Pytorch 2.0.1+cu118
- Tokenizers 0.19.1