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flan-t5-large-da-multiwoz2.1_400-new
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4001
- Accuracy: 41.6587
- Num: 3689
- Gen Len: 15.8552
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: 32
- seed: 1799
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Num | Gen Len |
|---|---|---|---|---|---|---|
| 0.2898 | 1.16 | 200 | 0.3753 | 41.3216 | 3689 | 15.5324 |
| 0.2614 | 2.33 | 400 | 0.3880 | 41.2815 | 3689 | 15.9111 |
| 0.2401 | 3.49 | 600 | 0.3934 | 41.9986 | 3689 | 15.7373 |
| 0.2279 | 4.65 | 800 | 0.4010 | 41.6882 | 3689 | 15.8452 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1
