metadata
license: mit
base_model: microsoft/DialoGPT-medium
tags:
- generated_from_trainer
datasets:
- daily_dialog
model-index:
- name: tmp93avx00w
results: []
tmp93avx00w
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:
- Loss: 1.7075
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: 8
Training results
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3