---
base_model: microsoft/DialoGPT-small
library_name: peft
license: mit
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [microsoft/DialoGPT-small](https://huggingface.co./microsoft/DialoGPT-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3632

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.4147        | 1.0   | 1411 | 3.5744          |
| 3.9073        | 2.0   | 2822 | 3.4046          |
| 3.7894        | 3.0   | 4233 | 3.3632          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.42.4
- Pytorch 2.1.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1