<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
flan-t5-large-da-multiwoz2.0_400-new
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5549
- Accuracy: 41.8963
- Num: 3690
- Gen Len: 15.5154
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 |
|---|---|---|---|---|---|---|
| 0.2518 | 1.17 | 400 | 0.4016 | 42.2397 | 3690 | 15.2057 |
| 0.219 | 2.33 | 800 | 0.4174 | 42.2063 | 3690 | 15.5122 |
| 0.1916 | 3.5 | 1200 | 0.4534 | 42.0205 | 3690 | 16.2089 |
| 0.1707 | 4.66 | 1600 | 0.4615 | 41.8799 | 3690 | 15.5564 |
| 0.1534 | 5.83 | 2000 | 0.4778 | 42.1433 | 3690 | 15.2282 |
| 0.1415 | 7.0 | 2400 | 0.5077 | 42.1549 | 3690 | 15.5642 |
| 0.1279 | 8.16 | 2800 | 0.5406 | 42.0254 | 3690 | 15.968 |
| 0.1242 | 9.33 | 3200 | 0.5480 | 42.1143 | 3690 | 15.6694 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1
