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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: 1.3857
- Rouge1: 47.6985
- Rouge2: 24.1692
- Rougel: 40.4432
- Rougelsum: 43.8093
- Gen Len: 17.2320
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 |
|---|---|---|---|---|---|---|---|---|
| 0.7871 | 1.0 | 1842 | 1.6288 | 46.9984 | 23.2883 | 39.3183 | 42.9939 | 17.6508 |
| 1.2835 | 2.0 | 3684 | 1.3913 | 47.5124 | 23.8476 | 40.022 | 43.5126 | 17.3761 |
| 1.2249 | 3.0 | 5526 | 1.3857 | 47.6985 | 24.1692 | 40.4432 | 43.8093 | 17.2320 |
| 1.175 | 4.0 | 7368 | 1.3929 | 47.4128 | 23.9854 | 40.1897 | 43.5613 | 17.3712 |
| 1.1455 | 5.0 | 9210 | 1.3966 | 47.4738 | 24.0019 | 40.2111 | 43.6815 | 17.3211 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
