---
license: mit
base_model: microsoft/DialoGPT-large
tags:
- generated_from_trainer
model-index:
- name: DialoGPT-large-faqs-block-size-400-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-400-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: 2.6788

## 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   | 13   | 5.8404          |
| No log        | 2.0   | 26   | 5.0890          |
| No log        | 3.0   | 39   | 4.6086          |
| No log        | 4.0   | 52   | 4.1995          |
| No log        | 5.0   | 65   | 3.8393          |
| No log        | 6.0   | 78   | 3.5620          |
| No log        | 7.0   | 91   | 3.3420          |
| No log        | 8.0   | 104  | 3.1838          |
| No log        | 9.0   | 117  | 3.0612          |
| No log        | 10.0  | 130  | 2.9650          |
| No log        | 11.0  | 143  | 2.8926          |
| No log        | 12.0  | 156  | 2.8375          |
| No log        | 13.0  | 169  | 2.8019          |
| No log        | 14.0  | 182  | 2.7654          |
| No log        | 15.0  | 195  | 2.7348          |
| No log        | 16.0  | 208  | 2.7130          |
| No log        | 17.0  | 221  | 2.6977          |
| No log        | 18.0  | 234  | 2.6874          |
| No log        | 19.0  | 247  | 2.6813          |
| No log        | 20.0  | 260  | 2.6788          |


### Framework versions

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