metadata
license: mit
base_model: microsoft/DialoGPT-small
tags:
- generated_from_trainer
datasets:
- crd3
model-index:
- name: DialoGPT-small-crd3
results: []
DialoGPT-small-crd3
This model is a fine-tuned version of microsoft/DialoGPT-small on the crd3 dataset. It achieves the following results on the evaluation set:
- Loss: 1.9150
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
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7219 | 0.41 | 500 | 2.5055 |
| 2.1998 | 0.82 | 1000 | 2.1320 |
| 2.0375 | 1.23 | 1500 | 2.0455 |
| 1.9719 | 1.64 | 2000 | 2.0024 |
| 1.898 | 2.05 | 2500 | 1.9783 |
| 1.8977 | 2.46 | 3000 | 1.9598 |
| 1.8336 | 2.87 | 3500 | 1.9467 |
| 1.8316 | 3.28 | 4000 | 1.9379 |
| 1.7895 | 3.69 | 4500 | 1.9316 |
| 1.777 | 4.11 | 5000 | 1.9267 |
| 1.7648 | 4.52 | 5500 | 1.9205 |
| 1.7478 | 4.93 | 6000 | 1.9181 |
| 1.752 | 5.34 | 6500 | 1.9170 |
| 1.7284 | 5.75 | 7000 | 1.9158 |
| 1.7254 | 6.16 | 7500 | 1.9158 |
| 1.7272 | 6.57 | 8000 | 1.9152 |
| 1.7252 | 6.98 | 8500 | 1.9150 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3