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: 1.6307
- Rouge1: 43.9705
- Rouge2: 19.625
- Rougel: 36.5169
- Rougelsum: 39.991
- Gen Len: 16.8034
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 |
|---|---|---|---|---|---|---|---|---|
| 1.8232 | 1.0 | 1842 | 1.6649 | 42.84 | 18.7134 | 35.4575 | 39.1611 | 16.9060 |
| 1.7366 | 2.0 | 3684 | 1.6412 | 43.3041 | 18.979 | 35.8757 | 39.4089 | 16.9121 |
| 1.6958 | 3.0 | 5526 | 1.6357 | 43.4414 | 19.1581 | 36.0299 | 39.5906 | 16.7937 |
| 1.6619 | 4.0 | 7368 | 1.6327 | 43.7014 | 19.441 | 36.3343 | 39.8082 | 16.8449 |
| 1.6362 | 5.0 | 9210 | 1.6307 | 43.9705 | 19.625 | 36.5169 | 39.991 | 16.8034 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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Base model
google/flan-t5-small