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flan-t5-large-da-multiwoz2.0_400-ep10
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: 0.3728
- Accuracy: 38.5105
- Num: 7358
- Gen Len: 15.3954
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: 48
- 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 |
|---|---|---|---|---|---|---|
| 1.1897 | 1.16 | 200 | 0.5257 | 28.1911 | 7358 | 14.6738 |
| 0.5545 | 2.33 | 400 | 0.4348 | 32.8522 | 7358 | 15.5008 |
| 0.4745 | 3.49 | 600 | 0.4070 | 34.818 | 7358 | 16.0076 |
| 0.4439 | 4.65 | 800 | 0.3872 | 36.4827 | 7358 | 16.0594 |
| 0.4214 | 5.81 | 1000 | 0.3818 | 36.5826 | 7358 | 14.9643 |
| 0.4024 | 6.98 | 1200 | 0.3756 | 37.6167 | 7358 | 15.3856 |
| 0.3911 | 8.14 | 1400 | 0.3728 | 38.5105 | 7358 | 15.3954 |
| 0.3812 | 9.3 | 1600 | 0.3715 | 38.2191 | 7358 | 15.5928 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1
