DialogRPT-updown-finetuned-wnli
This model is a fine-tuned version of microsoft/DialogRPT-updown on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.7006
- Accuracy: 0.4789
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 40 | 0.7006 | 0.4789 |
| No log | 2.0 | 80 | 0.7067 | 0.4507 |
| No log | 3.0 | 120 | 0.7070 | 0.4789 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.2
- Tokenizers 0.12.1