---
license: mit
base_model: microsoft/DialoGPT-medium
tags:
- generated_from_trainer
datasets:
- daily_dialog
model-index:
- name: tmpnk87cy75
  results: []
---

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# tmpnk87cy75

This model is a fine-tuned version of [microsoft/DialoGPT-medium](https://huggingface.co/microsoft/DialoGPT-medium) on the daily_dialog dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.7442
- eval_runtime: 12.5801
- eval_samples_per_second: 79.49
- eval_steps_per_second: 2.544
- epoch: 9.35
- step: 6500

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3