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flan-t5-large-da-multiwoz_250
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3959
- Accuracy: 38.8681
- Num: 3689
- Gen Len: 15.6736
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 |
|---|---|---|---|---|---|---|
| 0.4158 | 0.93 | 200 | 0.4439 | 34.537 | 3689 | 15.8452 |
| 0.3487 | 1.86 | 400 | 0.4358 | 35.7656 | 3689 | 15.6495 |
| 0.3596 | 2.79 | 600 | 0.4304 | 35.4046 | 3689 | 14.8946 |
| 0.3676 | 3.72 | 800 | 0.4186 | 36.5036 | 3689 | 15.0016 |
| 0.4259 | 4.65 | 1000 | 0.4082 | 36.491 | 3689 | 15.4118 |
| 0.4005 | 5.58 | 1200 | 0.4039 | 37.4827 | 3689 | 15.8615 |
| 0.3922 | 6.51 | 1400 | 0.4009 | 38.1076 | 3689 | 15.4286 |
| 0.3656 | 7.44 | 1600 | 0.3998 | 38.8275 | 3689 | 15.7021 |
| 0.3709 | 8.37 | 1800 | 0.3959 | 38.8681 | 3689 | 15.6736 |
| 0.3564 | 9.3 | 2000 | 0.3981 | 38.6742 | 3689 | 15.8406 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1
