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t5-cnn
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4562
- Rouge1: 25.1836
- Rouge2: 12.0806
- Rougel: 20.818
- Rougelsum: 23.6868
- Gen Len: 18.9986
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.4286 | 1.0 | 50000 | 1.4562 | 25.1836 | 12.0806 | 20.818 | 23.6868 | 18.9986 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
