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t5-base-extraction-cnndm_fs0.02-c
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8400
- Recall: 35.4852
- Precision: 40.9499
- F1: 36.9238
- Gen Len: 19.0
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 |
|---|---|---|---|---|---|---|---|
| 2.7966 | 1.14 | 200 | 2.0568 | 17.0907 | 45.1725 | 21.4724 | 12.7061 |
| 2.1271 | 2.29 | 400 | 1.8400 | 35.4852 | 40.9499 | 36.9238 | 19.0 |
| 1.9831 | 3.43 | 600 | 1.7756 | 35.0259 | 39.8685 | 36.1824 | 18.9962 |
| 1.9025 | 4.57 | 800 | 1.7365 | 34.9077 | 39.2092 | 35.8205 | 19.0 |
| 1.8564 | 5.71 | 1000 | 1.7075 | 33.8282 | 38.141 | 34.765 | 19.0 |
| 1.8164 | 6.86 | 1200 | 1.6898 | 34.6927 | 38.999 | 35.5568 | 19.0 |
| 1.7929 | 8.0 | 1400 | 1.6753 | 34.9922 | 39.2711 | 35.8318 | 19.0 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.10.0+cu111
- Datasets 2.8.0
- Tokenizers 0.13.2
