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flan-t5-large-da-multiwoz2.1_fs0.05
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: 0.3605
- Accuracy: 40.7025
- Num: 3689
- Gen Len: 15.8311
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 |
|---|---|---|---|---|---|---|
| 0.9665 | 1.1 | 400 | 0.4662 | 32.999 | 3689 | 15.8777 |
| 0.5021 | 2.2 | 800 | 0.4089 | 35.1765 | 3689 | 15.0667 |
| 0.4467 | 3.3 | 1200 | 0.3839 | 35.8487 | 3689 | 15.7387 |
| 0.4066 | 4.4 | 1600 | 0.3751 | 37.5848 | 3689 | 14.9287 |
| 0.3907 | 5.49 | 2000 | 0.3654 | 38.7608 | 3689 | 15.4836 |
| 0.3644 | 6.59 | 2400 | 0.3620 | 40.1207 | 3689 | 15.154 |
| 0.3623 | 7.69 | 2800 | 0.3605 | 40.7025 | 3689 | 15.8311 |
| 0.3501 | 8.79 | 3200 | 0.3592 | 40.4075 | 3689 | 15.6419 |
| 0.3436 | 9.89 | 3600 | 0.3601 | 40.614 | 3689 | 15.7143 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1
