<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
flan-t5-base-extraction-cnndm_8000-all-hint_precision-ep50
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7529
- Hint Hit Num: 2.3661
- Hint Precision: 0.432
- Num: 5.4575
- Gen Len: 18.9999
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: 32
- eval_batch_size: 100
- 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 | Hint Hit Num | Hint Precision | Num | Gen Len |
|---|---|---|---|---|---|---|---|
| 2.3309 | 0.8 | 200 | 1.8686 | 2.2144 | 0.415 | 5.3428 | 18.9925 |
| 2.0891 | 1.6 | 400 | 1.8016 | 2.2762 | 0.4225 | 5.3918 | 18.999 |
| 2.021 | 2.4 | 600 | 1.7832 | 2.2796 | 0.4222 | 5.3946 | 18.9994 |
| 1.9813 | 3.2 | 800 | 1.7706 | 2.319 | 0.4271 | 5.4208 | 18.9998 |
| 1.9465 | 4.0 | 1000 | 1.7521 | 2.327 | 0.4267 | 5.4423 | 18.9999 |
| 1.9139 | 4.8 | 1200 | 1.7491 | 2.3122 | 0.4255 | 5.412 | 18.9993 |
| 1.8886 | 5.6 | 1400 | 1.7506 | 2.3072 | 0.426 | 5.3995 | 18.9998 |
| 1.8753 | 6.4 | 1600 | 1.7529 | 2.3661 | 0.432 | 5.4575 | 18.9999 |
| 1.8432 | 7.2 | 1800 | 1.7428 | 2.3228 | 0.4249 | 5.4502 | 18.9998 |
| 1.8294 | 8.0 | 2000 | 1.7465 | 2.3463 | 0.4293 | 5.4482 | 18.9996 |
| 1.8072 | 8.8 | 2200 | 1.7403 | 2.3396 | 0.4271 | 5.4617 | 18.9993 |
| 1.7819 | 9.6 | 2400 | 1.7429 | 2.3223 | 0.4244 | 5.4575 | 18.9996 |
| 1.7732 | 10.4 | 2600 | 1.7446 | 2.3258 | 0.4254 | 5.4462 | 18.999 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1
