metadata

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

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