flan-t5-base-samsum
This model is a fine-tuned version of google/flan-t5-base on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.3707
- Rouge1: 47.5194
- Rouge2: 23.7737
- Rougel: 39.9592
- Rougelsum: 43.6505
- Gen Len: 17.2027
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 | Gen Len | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|---|
| 1.4543 | 1.0 | 1842 | 17.5531 | 1.3866 | 46.7793 | 22.9078 | 39.1288 | 42.9793 |
| 1.3399 | 2.0 | 3684 | 17.3297 | 1.3731 | 47.3308 | 24.0129 | 39.9801 | 43.7026 |
| 1.2682 | 3.0 | 5526 | 17.3309 | 1.3744 | 47.3898 | 23.7923 | 39.7349 | 43.5254 |
| 1.2302 | 4.0 | 7368 | 17.2027 | 1.3707 | 47.5194 | 23.7737 | 39.9592 | 43.6505 |
| 1.2082 | 5.0 | 9210 | 1.3751 | 47.6088 | 23.8305 | 40.0216 | 43.6941 | 17.2295 |
Framework versions
- Transformers 4.36.1
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0
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Base model
google/flan-t5-base