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flan-t5-base-jfleg
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7504
- Rouge1: 82.0456
- Rouge2: 71.8069
- Rougel: 81.0231
- Rougelsum: 81.0225
- Gen Len: 17.3842
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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 377 | 0.7504 | 82.0456 | 71.8069 | 81.0231 | 81.0225 | 17.3842 |
| 0.547 | 2.0 | 754 | 0.8532 | 82.2122 | 71.9383 | 81.1551 | 81.1524 | 17.3909 |
| 0.4414 | 3.0 | 1131 | 0.9503 | 82.2202 | 71.9046 | 81.1744 | 81.1738 | 17.3748 |
| 0.384 | 4.0 | 1508 | 0.9621 | 82.042 | 71.7195 | 80.9726 | 80.9785 | 17.3922 |
| 0.384 | 5.0 | 1885 | 0.9727 | 82.1163 | 71.8526 | 81.0433 | 81.0423 | 17.3949 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
