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flan-t5-large-da-multiwoz2.1_80-ep50-nonstop
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: 0.5542
- Accuracy: 35.5319
- Num: 7365
- Gen Len: 15.843
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: 64
- seed: 1799
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Num | Gen Len |
|---|---|---|---|---|---|---|
| 0.8604 | 10.81 | 400 | 0.4589 | 33.6594 | 7365 | 15.912 |
| 0.3774 | 21.62 | 800 | 0.4708 | 35.1632 | 7365 | 15.7984 |
| 0.2827 | 32.43 | 1200 | 0.5212 | 35.4708 | 7365 | 15.7033 |
| 0.235 | 43.24 | 1600 | 0.5512 | 35.2657 | 7365 | 15.7203 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1
