---
license: mit
base_model: microsoft/DialoGPT-large
tags:
- generated_from_trainer
model-index:
- name: DialoGPT-large-faqs-block-size-350-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-350-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: 2.5721

## 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   | 15   | 5.5711          |
| No log        | 2.0   | 30   | 4.8235          |
| No log        | 3.0   | 45   | 4.2941          |
| No log        | 4.0   | 60   | 3.8396          |
| No log        | 5.0   | 75   | 3.5024          |
| No log        | 6.0   | 90   | 3.2479          |
| No log        | 7.0   | 105  | 3.0807          |
| No log        | 8.0   | 120  | 2.9507          |
| No log        | 9.0   | 135  | 2.8704          |
| No log        | 10.0  | 150  | 2.8030          |
| No log        | 11.0  | 165  | 2.7481          |
| No log        | 12.0  | 180  | 2.6972          |
| No log        | 13.0  | 195  | 2.6681          |
| No log        | 14.0  | 210  | 2.6349          |
| No log        | 15.0  | 225  | 2.6192          |
| No log        | 16.0  | 240  | 2.5990          |
| No log        | 17.0  | 255  | 2.5850          |
| No log        | 18.0  | 270  | 2.5767          |
| No log        | 19.0  | 285  | 2.5741          |
| No log        | 20.0  | 300  | 2.5721          |


### Framework versions

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