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flan-t5-large-da-multiwoz2.1_80-loss-ep50
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: 0.4579
- Accuracy: 33.9166
- Num: 7365
- Gen Len: 16.1092
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: 24
- eval_batch_size: 192
- 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 |
|---|---|---|---|---|---|---|
| 1.1431 | 8.0 | 200 | 0.4916 | 29.9135 | 7365 | 15.2805 |
| 0.4731 | 16.0 | 400 | 0.4579 | 33.9166 | 7365 | 16.1092 |
| 0.3788 | 24.0 | 600 | 0.4705 | 34.9699 | 7365 | 15.9742 |
| 0.3188 | 32.0 | 800 | 0.4872 | 34.3973 | 7365 | 15.6263 |
| 0.2879 | 40.0 | 1000 | 0.4989 | 35.5581 | 7365 | 15.8967 |
| 0.2672 | 48.0 | 1200 | 0.5088 | 35.5744 | 7365 | 15.9563 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1
