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flan-t5-large-da-multiwoz2.0_800
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3570
- Accuracy: 41.6199
- Num: 3690
- Gen Len: 15.7011
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Num | Gen Len |
|---|---|---|---|---|---|---|
| 0.4144 | 0.3 | 200 | 0.3585 | 39.267 | 3690 | 15.7322 |
| 0.3416 | 0.6 | 400 | 0.3570 | 41.6199 | 3690 | 15.7011 |
| 0.3242 | 0.89 | 600 | 0.3533 | 40.3462 | 3690 | 15.4035 |
| 0.2996 | 1.19 | 800 | 0.3616 | 40.9198 | 3690 | 16.6144 |
| 0.294 | 1.49 | 1000 | 0.3599 | 41.2309 | 3690 | 15.2799 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1
