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flan-t5-large-da-multiwoz2.1_fs0.1
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: 0.3373
- Accuracy: 43.2245
- Num: 3689
- Gen Len: 15.3058
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 |
---|---|---|---|---|---|---|
0.9683 | 0.56 | 400 | 0.4608 | 31.0524 | 3689 | 14.9279 |
0.5046 | 1.13 | 800 | 0.4028 | 35.7175 | 3689 | 15.1651 |
0.4488 | 1.69 | 1200 | 0.3803 | 36.4952 | 3689 | 16.3375 |
0.4267 | 2.25 | 1600 | 0.3613 | 38.4613 | 3689 | 15.2646 |
0.4003 | 2.81 | 2000 | 0.3538 | 39.8281 | 3689 | 15.5842 |
0.3862 | 3.38 | 2400 | 0.3497 | 40.0593 | 3689 | 15.2356 |
0.3729 | 3.94 | 2800 | 0.3433 | 40.857 | 3689 | 15.9675 |
0.3632 | 4.5 | 3200 | 0.3457 | 41.157 | 3689 | 15.8818 |
0.3534 | 5.06 | 3600 | 0.3367 | 42.9369 | 3689 | 15.7314 |
0.3432 | 5.63 | 4000 | 0.3358 | 41.9514 | 3689 | 15.7173 |
0.3395 | 6.19 | 4400 | 0.3373 | 43.2245 | 3689 | 15.3058 |
0.3345 | 6.75 | 4800 | 0.3351 | 42.4941 | 3689 | 14.8916 |
0.3266 | 7.31 | 5200 | 0.3360 | 42.9742 | 3689 | 15.7124 |
0.3233 | 7.88 | 5600 | 0.3327 | 43.1362 | 3689 | 15.9379 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1