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flan-t5-large-extraction-all-cnn_4000-ep10-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: 1.7255
- Hint Hit Num: 1.986
- Hint Precision: 0.3408
- Num: 5.84
- Gen Len: 19.0
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Hint Hit Num | Hint Precision | Num | Gen Len |
|---|---|---|---|---|---|---|---|
| 2.082 | 1.2 | 200 | 1.7678 | 1.87 | 0.3274 | 5.724 | 18.993 |
| 1.8548 | 2.4 | 400 | 1.7276 | 1.891 | 0.3306 | 5.734 | 18.992 |
| 1.7775 | 3.59 | 600 | 1.7258 | 1.978 | 0.3388 | 5.842 | 18.995 |
| 1.7192 | 4.79 | 800 | 1.7148 | 1.926 | 0.3333 | 5.793 | 19.0 |
| 1.6715 | 5.99 | 1000 | 1.7203 | 1.91 | 0.332 | 5.749 | 19.0 |
| 1.6472 | 7.19 | 1200 | 1.7209 | 1.973 | 0.3398 | 5.808 | 19.0 |
| 1.6125 | 8.38 | 1400 | 1.7293 | 1.957 | 0.3378 | 5.794 | 19.0 |
| 1.6123 | 9.58 | 1600 | 1.7254 | 1.987 | 0.3414 | 5.836 | 19.0 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1
