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flan-t5-small-FT-15k
This model is a fine-tuned version of google/flan-t5-small on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.6305
- Rouge1: 43.653
- Rouge2: 19.2465
- Rougel: 36.1691
- Rougelsum: 39.7429
- Gen Len: 16.8120
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 |
|---|---|---|---|---|---|---|---|---|
| 1.8107 | 1.0 | 1842 | 1.6636 | 42.5928 | 18.5956 | 35.4537 | 38.9871 | 16.6581 |
| 1.7464 | 2.0 | 3684 | 1.6400 | 43.5799 | 19.0036 | 35.8639 | 39.5354 | 16.9524 |
| 1.6894 | 3.0 | 5526 | 1.6383 | 43.5707 | 19.3055 | 36.1509 | 39.7334 | 17.0098 |
| 1.6673 | 4.0 | 7368 | 1.6306 | 43.7935 | 19.4224 | 36.3399 | 39.8516 | 16.8974 |
| 1.6371 | 5.0 | 9210 | 1.6305 | 43.653 | 19.2465 | 36.1691 | 39.7429 | 16.8120 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
