Vichu-T5
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: 1.7762
- Rouge1: 35.1347
- Rouge2: 19.4192
- Rougel: 31.7999
- Rougelsum: 32.8835
- Gen Len: 16.2025
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.1865 | 1.0 | 6501 | 1.8760 | 34.1463 | 18.5152 | 30.698 | 31.8035 | 16.3475 |
| 2.1069 | 2.0 | 13002 | 1.8004 | 34.8873 | 19.3631 | 31.5821 | 32.6451 | 16.2370 |
| 2.0697 | 3.0 | 19503 | 1.7762 | 35.1347 | 19.4192 | 31.7999 | 32.8835 | 16.2025 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
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