flan-t5-large-da-multiwoz2.0_80-new
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8043
- Accuracy: 35.9874
- Num: 3690
- Gen Len: 15.7702
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: 24
- seed: 1799
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Num | Gen Len |
|---|---|---|---|---|---|---|
| 0.1444 | 5.48 | 400 | 0.7043 | 35.5433 | 3690 | 15.6268 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1