---
license: mit
base_model: microsoft/DialoGPT-large
tags:
- generated_from_trainer
model-index:
- name: DialoGPT-large-faqs-block-size-128-bs-16-lr-2e-5
  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-2e-5

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: 2.7873

## 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: 2e-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   | 40   | 3.3953          |
| No log        | 2.0   | 80   | 2.7368          |
| No log        | 3.0   | 120  | 2.4963          |
| No log        | 4.0   | 160  | 2.4083          |
| No log        | 5.0   | 200  | 2.3677          |
| No log        | 6.0   | 240  | 2.3529          |
| No log        | 7.0   | 280  | 2.3669          |
| No log        | 8.0   | 320  | 2.4104          |
| No log        | 9.0   | 360  | 2.4576          |
| No log        | 10.0  | 400  | 2.5224          |
| No log        | 11.0  | 440  | 2.5940          |
| No log        | 12.0  | 480  | 2.6281          |
| 1.7771        | 13.0  | 520  | 2.6656          |
| 1.7771        | 14.0  | 560  | 2.6991          |
| 1.7771        | 15.0  | 600  | 2.7157          |
| 1.7771        | 16.0  | 640  | 2.7565          |
| 1.7771        | 17.0  | 680  | 2.7790          |
| 1.7771        | 18.0  | 720  | 2.7847          |
| 1.7771        | 19.0  | 760  | 2.7866          |
| 1.7771        | 20.0  | 800  | 2.7873          |


### Framework versions

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