---
license: mit
base_model: microsoft/DialoGPT-large
tags:
- generated_from_trainer
model-index:
- name: DialoGPT-large-faqs-block-size-128-bs-16-lr-1e-6
  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-128-bs-16-lr-1e-6

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: 3.9454

## 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-06
- 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   | 40   | 5.9267          |
| No log        | 2.0   | 80   | 5.4947          |
| No log        | 3.0   | 120  | 5.2047          |
| No log        | 4.0   | 160  | 4.9717          |
| No log        | 5.0   | 200  | 4.7953          |
| No log        | 6.0   | 240  | 4.6423          |
| No log        | 7.0   | 280  | 4.5234          |
| No log        | 8.0   | 320  | 4.4199          |
| No log        | 9.0   | 360  | 4.3313          |
| No log        | 10.0  | 400  | 4.2584          |
| No log        | 11.0  | 440  | 4.1938          |
| No log        | 12.0  | 480  | 4.1346          |
| 5.1633        | 13.0  | 520  | 4.0863          |
| 5.1633        | 14.0  | 560  | 4.0490          |
| 5.1633        | 15.0  | 600  | 4.0146          |
| 5.1633        | 16.0  | 640  | 3.9882          |
| 5.1633        | 17.0  | 680  | 3.9686          |
| 5.1633        | 18.0  | 720  | 3.9556          |
| 5.1633        | 19.0  | 760  | 3.9480          |
| 5.1633        | 20.0  | 800  | 3.9454          |


### Framework versions

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