Edit model card

tmpnk87cy75

This model is a fine-tuned version of 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
Downloads last month
12
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for stefaniftime/tmpnk87cy75

Finetuned
(29)
this model

Dataset used to train stefaniftime/tmpnk87cy75