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flan-t5-large-da-multiwoz2.1_fs0.2
This model is a fine-tuned version of google/flan-t5-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3159
- Accuracy: 45.1554
- Num: 3689
- Gen Len: 15.5213
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 |
|---|---|---|---|---|---|---|
| 0.9653 | 0.28 | 400 | 0.4635 | 31.3166 | 3689 | 15.196 |
| 0.5071 | 0.57 | 800 | 0.4031 | 35.8289 | 3689 | 15.6546 |
| 0.4603 | 0.85 | 1200 | 0.3718 | 37.6313 | 3689 | 15.6511 |
| 0.4219 | 1.13 | 1600 | 0.3577 | 37.9333 | 3689 | 16.5319 |
| 0.3991 | 1.42 | 2000 | 0.3491 | 40.5462 | 3689 | 15.453 |
| 0.394 | 1.7 | 2400 | 0.3409 | 40.9333 | 3689 | 15.5137 |
| 0.3822 | 1.98 | 2800 | 0.3370 | 41.2932 | 3689 | 15.225 |
| 0.3625 | 2.26 | 3200 | 0.3327 | 42.1132 | 3689 | 16.0718 |
| 0.3577 | 2.55 | 3600 | 0.3329 | 42.1372 | 3689 | 15.9973 |
| 0.3644 | 2.83 | 4000 | 0.3303 | 42.2529 | 3689 | 15.6525 |
| 0.349 | 3.11 | 4400 | 0.3256 | 43.2025 | 3689 | 15.6601 |
| 0.3355 | 3.4 | 4800 | 0.3243 | 43.791 | 3689 | 15.5451 |
| 0.338 | 3.68 | 5200 | 0.3231 | 43.5073 | 3689 | 15.7411 |
| 0.3424 | 3.96 | 5600 | 0.3196 | 44.5281 | 3689 | 15.1307 |
| 0.3299 | 4.25 | 6000 | 0.3159 | 45.1554 | 3689 | 15.5213 |
| 0.328 | 4.53 | 6400 | 0.3188 | 43.4699 | 3689 | 15.3849 |
| 0.3204 | 4.81 | 6800 | 0.3159 | 44.7764 | 3689 | 15.8219 |
| 0.3166 | 5.1 | 7200 | 0.3165 | 45.0608 | 3689 | 15.8791 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1
