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t5-base-extraction-cnndm_fs0.2-c
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7632
- Recall: 35.3211
- Precision: 44.7184
- F1: 37.9638
- Gen Len: 18.9772
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: 5e-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 1799
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Recall | Precision | F1 | Gen Len |
|---|---|---|---|---|---|---|---|
| 2.869 | 0.11 | 200 | 2.1451 | 5.0936 | 24.6632 | 7.5994 | 18.7768 |
| 2.1528 | 0.23 | 400 | 1.8487 | 34.4362 | 43.9397 | 36.9118 | 18.9848 |
| 1.9838 | 0.34 | 600 | 1.7632 | 35.3211 | 44.7184 | 37.9638 | 18.9772 |
| 1.9177 | 0.46 | 800 | 1.7159 | 35.2238 | 43.6081 | 37.5322 | 18.9939 |
| 1.866 | 0.57 | 1000 | 1.6831 | 34.9749 | 43.3927 | 37.2946 | 18.9924 |
| 1.8292 | 0.69 | 1200 | 1.6564 | 35.1338 | 43.3687 | 37.3903 | 18.9954 |
| 1.8132 | 0.8 | 1400 | 1.6331 | 35.1356 | 43.4627 | 37.3786 | 18.9954 |
| 1.7891 | 0.92 | 1600 | 1.6194 | 35.3715 | 44.0317 | 37.7205 | 18.9855 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.10.0+cu111
- Datasets 2.8.0
- Tokenizers 0.13.2
