---
license: mit
base_model: tinkoff-ai/ruDialoGPT-small
tags:
- generated_from_trainer
model-index:
- name: ruDialoGPT-small_10
  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. -->

# ruDialoGPT-small_10

This model is a fine-tuned version of [tinkoff-ai/ruDialoGPT-small](https://huggingface.co/tinkoff-ai/ruDialoGPT-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4977

## 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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 55   | 1.3283          |
| No log        | 2.0   | 110  | 1.2672          |
| No log        | 3.0   | 165  | 1.3883          |
| No log        | 4.0   | 220  | 1.3489          |
| No log        | 5.0   | 275  | 1.4106          |
| No log        | 6.0   | 330  | 1.4384          |
| No log        | 7.0   | 385  | 1.4511          |
| No log        | 8.0   | 440  | 1.4744          |
| No log        | 9.0   | 495  | 1.4796          |
| 0.9816        | 10.0  | 550  | 1.4977          |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3