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flan-t5-large-extraction-all-cnndm_2000-ep6-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: 1.7750
- Hint Hit Num: 1.962
- Hint Precision: 0.3394
- Num: 5.812
- Gen Len: 18.986
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: 40
- eval_batch_size: 80
- seed: 1799
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Hint Hit Num | Hint Precision | Num | Gen Len |
|---|---|---|---|---|---|---|---|
| 2.1808 | 2.0 | 100 | 1.8110 | 1.822 | 0.3218 | 5.738 | 19.0 |
| 1.9109 | 4.0 | 200 | 1.7813 | 1.916 | 0.3357 | 5.76 | 18.986 |
| 1.8525 | 6.0 | 300 | 1.7750 | 1.962 | 0.3394 | 5.812 | 18.986 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1
