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flan-t5-large-extraction-all-cnndm_4000-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: 1.7303
- Hint Hit Num: 1.948
- Hint Precision: 0.3357
- Num: 5.826
- Gen Len: 18.99
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 |
---|---|---|---|---|---|---|---|
2.1948 | 1.0 | 100 | 1.8009 | 1.846 | 0.3231 | 5.744 | 19.0 |
1.9348 | 2.0 | 200 | 1.7486 | 1.976 | 0.3451 | 5.772 | 18.986 |
1.8668 | 3.0 | 300 | 1.7397 | 1.96 | 0.3366 | 5.852 | 18.99 |
1.8287 | 4.0 | 400 | 1.7362 | 1.928 | 0.3339 | 5.794 | 18.99 |
1.8039 | 5.0 | 500 | 1.7326 | 1.926 | 0.3336 | 5.79 | 18.99 |
1.7911 | 6.0 | 600 | 1.7303 | 1.948 | 0.3357 | 5.826 | 18.99 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1