flan-t5-base-insights
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: 0.9312
- Rouge1: 9.0841
- Rouge2: 7.1682
- Rougel: 8.9904
- Rougelsum: 8.8694
- Gen Len: 19.0
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.6115 | 1.0 | 172 | 1.2331 | 8.5644 | 5.4426 | 8.0109 | 7.8524 | 19.0 |
| 1.3117 | 2.0 | 344 | 1.0502 | 8.9253 | 6.9288 | 8.8368 | 8.712 | 19.0 |
| 1.1739 | 3.0 | 516 | 0.9782 | 8.9253 | 6.9288 | 8.8368 | 8.712 | 19.0 |
| 1.1187 | 4.0 | 688 | 0.9432 | 8.5866 | 6.1482 | 8.3238 | 8.4361 | 19.0 |
| 1.059 | 5.0 | 860 | 0.9312 | 9.0841 | 7.1682 | 8.9904 | 8.8694 | 19.0 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0