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flan-t5-large-extraction-all-dm_2000-ep2-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: 1.6959
- Hint Hit Num: 2.5114
- Hint Precision: 0.4531
- Num: 5.5433
- Gen Len: 18.9103
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: 12
- eval_batch_size: 96
- seed: 1799
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
Training Loss | Epoch | Step | Validation Loss | Hint Hit Num | Hint Precision | Num | Gen Len |
---|---|---|---|---|---|---|---|
2.48 | 0.6 | 100 | 1.7493 | 2.5632 | 0.4489 | 5.7323 | 18.9804 |
2.1318 | 1.2 | 200 | 1.7111 | 2.5271 | 0.453 | 5.5888 | 18.9218 |
2.078 | 1.8 | 300 | 1.6955 | 2.5158 | 0.4533 | 5.5528 | 18.9217 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1