---
license: mit
base_model: microsoft/DialoGPT-large
tags:
- generated_from_trainer
model-index:
- name: DialoGPT-large-faqs-block-size-64-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-64-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: 2.7013

## 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   | 81   | 3.6517          |
| No log        | 2.0   | 162  | 2.9681          |
| No log        | 3.0   | 243  | 2.7276          |
| No log        | 4.0   | 324  | 2.6117          |
| No log        | 5.0   | 405  | 2.5552          |
| No log        | 6.0   | 486  | 2.5121          |
| 2.8918        | 7.0   | 567  | 2.4886          |
| 2.8918        | 8.0   | 648  | 2.4982          |
| 2.8918        | 9.0   | 729  | 2.4839          |
| 2.8918        | 10.0  | 810  | 2.5141          |
| 2.8918        | 11.0  | 891  | 2.5546          |
| 2.8918        | 12.0  | 972  | 2.5802          |
| 1.4641        | 13.0  | 1053 | 2.6159          |
| 1.4641        | 14.0  | 1134 | 2.6419          |
| 1.4641        | 15.0  | 1215 | 2.6417          |
| 1.4641        | 16.0  | 1296 | 2.6639          |
| 1.4641        | 17.0  | 1377 | 2.6681          |
| 1.4641        | 18.0  | 1458 | 2.6862          |
| 1.0613        | 19.0  | 1539 | 2.7011          |
| 1.0613        | 20.0  | 1620 | 2.7013          |


### Framework versions

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