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DialoGPT-large-finetuned-wikitext2
This model is a fine-tuned version of microsoft/DialoGPT-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.5062
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.5485 | 1.0 | 2334 | 3.5360 |
| 3.2269 | 2.0 | 4668 | 3.4998 |
| 3.0533 | 3.0 | 7002 | 3.5062 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.11.0+cu113
- Datasets 2.11.0
- Tokenizers 0.13.2
