---
license: mit
base_model: microsoft/DialoGPT-large
tags:
- generated_from_trainer
model-index:
- name: DialoGPT-large-faqs-block-size-16-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-16-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: 3.7894

## 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   | 321  | 3.4739          |
| 4.182         | 2.0   | 642  | 3.0932          |
| 4.182         | 3.0   | 963  | 2.9670          |
| 2.6449        | 4.0   | 1284 | 2.9128          |
| 2.0623        | 5.0   | 1605 | 2.9541          |
| 2.0623        | 6.0   | 1926 | 3.0378          |
| 1.6514        | 7.0   | 2247 | 3.1422          |
| 1.3414        | 8.0   | 2568 | 3.2869          |
| 1.3414        | 9.0   | 2889 | 3.3904          |
| 1.1036        | 10.0  | 3210 | 3.4720          |
| 0.9535        | 11.0  | 3531 | 3.5315          |
| 0.9535        | 12.0  | 3852 | 3.5810          |
| 0.8249        | 13.0  | 4173 | 3.6205          |
| 0.8249        | 14.0  | 4494 | 3.6689          |
| 0.7545        | 15.0  | 4815 | 3.7067          |
| 0.686         | 16.0  | 5136 | 3.7433          |
| 0.686         | 17.0  | 5457 | 3.7534          |
| 0.649         | 18.0  | 5778 | 3.7751          |
| 0.6241        | 19.0  | 6099 | 3.7854          |
| 0.6241        | 20.0  | 6420 | 3.7894          |


### Framework versions

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