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flan-t5-small-tigger
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1738
- Rouge1: 17.6332
- Rouge2: 10.2475
- Rougel: 17.5233
- Rougelsum: 17.5252
- Gen Len: 16.59
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.469 | 1.0 | 1800 | 2.2623 | 19.2526 | 13.4607 | 19.2285 | 19.2089 | 10.9481 |
| 2.3176 | 2.0 | 3600 | 2.2014 | 17.1109 | 10.2435 | 17.0312 | 17.0412 | 15.6308 |
| 2.264 | 3.0 | 5400 | 2.1789 | 17.5631 | 10.4188 | 17.428 | 17.4439 | 16.7186 |
| 2.231 | 4.0 | 7200 | 2.1738 | 17.6332 | 10.2475 | 17.5233 | 17.5252 | 16.59 |
Framework versions
- Transformers 4.29.1
- Pytorch 2.0.0
- Datasets 2.12.0
- Tokenizers 0.13.3
