t5-small-ipad-sum
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3632
- Rouge1: 90.6
- Rouge2: 29.6667
- Rougel: 90.8667
- Rougelsum: 90.6667
- Gen Len: 4.79
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 13 | 2.7713 | 20.7123 | 0.7601 | 20.6467 | 20.6954 | 18.85 |
| No log | 2.0 | 26 | 1.9722 | 23.2307 | 1.3571 | 23.263 | 23.2952 | 18.25 |
| No log | 3.0 | 39 | 1.2886 | 46.3724 | 8.0862 | 46.5163 | 46.4406 | 13.7 |
| No log | 4.0 | 52 | 0.8267 | 78.4825 | 14.1975 | 78.6464 | 78.3548 | 7.38 |
| No log | 5.0 | 65 | 0.6405 | 81.8222 | 15.7532 | 81.8856 | 81.88 | 6.3 |
| No log | 6.0 | 78 | 0.5210 | 83.2111 | 17.5 | 83.2931 | 83.1583 | 5.46 |
| No log | 7.0 | 91 | 0.4425 | 87.154 | 21.7917 | 87.2008 | 87.169 | 4.99 |
| No log | 8.0 | 104 | 0.3974 | 89.7619 | 27.6667 | 89.8571 | 89.8817 | 4.85 |
| No log | 9.0 | 117 | 0.3735 | 90.4 | 29.6667 | 90.5706 | 90.4635 | 4.87 |
| No log | 10.0 | 130 | 0.3632 | 90.6 | 29.6667 | 90.8667 | 90.6667 | 4.79 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6
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