---
license: mit
base_model: microsoft/DialoGPT-small
tags:
- generated_from_trainer
datasets:
- crd3
model-index:
- name: DialoGPT-small-crd3
  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. -->

# DialoGPT-small-crd3

This model is a fine-tuned version of [microsoft/DialoGPT-small](https://huggingface.co/microsoft/DialoGPT-small) on the crd3 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9150

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7219        | 0.41  | 500  | 2.5055          |
| 2.1998        | 0.82  | 1000 | 2.1320          |
| 2.0375        | 1.23  | 1500 | 2.0455          |
| 1.9719        | 1.64  | 2000 | 2.0024          |
| 1.898         | 2.05  | 2500 | 1.9783          |
| 1.8977        | 2.46  | 3000 | 1.9598          |
| 1.8336        | 2.87  | 3500 | 1.9467          |
| 1.8316        | 3.28  | 4000 | 1.9379          |
| 1.7895        | 3.69  | 4500 | 1.9316          |
| 1.777         | 4.11  | 5000 | 1.9267          |
| 1.7648        | 4.52  | 5500 | 1.9205          |
| 1.7478        | 4.93  | 6000 | 1.9181          |
| 1.752         | 5.34  | 6500 | 1.9170          |
| 1.7284        | 5.75  | 7000 | 1.9158          |
| 1.7254        | 6.16  | 7500 | 1.9158          |
| 1.7272        | 6.57  | 8000 | 1.9152          |
| 1.7252        | 6.98  | 8500 | 1.9150          |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3