flan-t5-small-samsum
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: 1.6084
- Rouge1: 44.1542
- Rouge2: 19.8954
- Rougel: 36.576
- Rougelsum: 40.1511
- Gen Len: 16.7875
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: 2
- eval_batch_size: 2
- 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 |
|---|---|---|---|---|---|---|---|---|
| 1.7821 | 1.0 | 7366 | 1.6311 | 43.0516 | 18.9698 | 35.8 | 39.4369 | 16.9560 |
| 1.6646 | 2.0 | 14732 | 1.6093 | 43.3108 | 18.9854 | 35.7539 | 39.4436 | 16.8913 |
| 1.6213 | 3.0 | 22098 | 1.6084 | 44.1542 | 19.8954 | 36.576 | 40.1511 | 16.7875 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
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Base model
google/flan-t5-small