flan-t5-base-juraqanda
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.0784
- Rouge1: 9.5491
- Rouge2: 1.4927
- Rougel: 8.828
- Rougelsum: 9.2708
- Gen Len: 18.5260
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 |
|---|---|---|---|---|---|---|---|---|
| 4.0303 | 1.0 | 712 | 3.3466 | 9.4455 | 1.2684 | 8.8558 | 9.1832 | 18.7577 |
| 3.6049 | 2.0 | 1424 | 3.1931 | 10.0714 | 1.4116 | 9.4163 | 9.8024 | 18.6461 |
| 3.3464 | 3.0 | 2136 | 3.1246 | 9.6542 | 1.4317 | 8.9441 | 9.36 | 18.5485 |
| 3.2831 | 4.0 | 2848 | 3.0910 | 9.6676 | 1.4584 | 8.9533 | 9.3876 | 18.6706 |
| 3.2176 | 5.0 | 3560 | 3.0784 | 9.5491 | 1.4927 | 8.828 | 9.2708 | 18.5260 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2