---
license: mit
base_model: microsoft/DialoGPT-large
tags:
- generated_from_trainer
model-index:
- name: DialoGPT-large-faqs-block-size-32-bs-16-lr-1e-05
  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-large-faqs-block-size-32-bs-16-lr-1e-05

This model is a fine-tuned version of [microsoft/DialoGPT-large](https://huggingface.co/microsoft/DialoGPT-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1840

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 161  | 3.4530          |
| No log        | 2.0   | 322  | 2.9557          |
| No log        | 3.0   | 483  | 2.7615          |
| 3.4514        | 4.0   | 644  | 2.6893          |
| 3.4514        | 5.0   | 805  | 2.6696          |
| 3.4514        | 6.0   | 966  | 2.6738          |
| 1.9345        | 7.0   | 1127 | 2.6820          |
| 1.9345        | 8.0   | 1288 | 2.7452          |
| 1.9345        | 9.0   | 1449 | 2.8237          |
| 1.3641        | 10.0  | 1610 | 2.9001          |
| 1.3641        | 11.0  | 1771 | 2.9492          |
| 1.3641        | 12.0  | 1932 | 3.0018          |
| 1.0356        | 13.0  | 2093 | 3.0482          |
| 1.0356        | 14.0  | 2254 | 3.0798          |
| 1.0356        | 15.0  | 2415 | 3.1145          |
| 0.8385        | 16.0  | 2576 | 3.1357          |
| 0.8385        | 17.0  | 2737 | 3.1498          |
| 0.8385        | 18.0  | 2898 | 3.1750          |
| 0.7252        | 19.0  | 3059 | 3.1823          |
| 0.7252        | 20.0  | 3220 | 3.1840          |


### Framework versions

- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4.dev0
- Tokenizers 0.13.3