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my-custom-repo2
This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0076
- Rouge1: 5.2564
- Rouge2: 4.3885
- Rougel: 4.8606
- Rougelsum: 4.8628
- Gen Len: 8.7847
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 |
|---|---|---|---|---|---|---|---|---|
| 0.0301 | 1.0 | 1500 | 0.0186 | 6.1606 | 5.3745 | 5.7762 | 5.7752 | 5.4517 |
| 0.0169 | 2.0 | 3000 | 0.0115 | 5.5084 | 4.6793 | 5.1194 | 5.1214 | 7.6477 |
| 0.0136 | 3.0 | 4500 | 0.0090 | 5.2597 | 4.4065 | 4.8716 | 4.8723 | 8.557 |
| 0.0118 | 4.0 | 6000 | 0.0079 | 5.2273 | 4.3653 | 4.8349 | 4.8352 | 8.815 |
| 0.0107 | 5.0 | 7500 | 0.0076 | 5.2564 | 4.3885 | 4.8606 | 4.8628 | 8.7847 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
