flan-t5-base-samsum
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3692
- Rouge1: 47.2141
- Rouge2: 23.4837
- Rougel: 39.7822
- Rougelsum: 43.2157
- Gen Len: 17.1612
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 |
|---|---|---|---|---|---|---|---|---|
| 1.4566 | 1.0 | 1842 | 1.3834 | 46.9151 | 22.8925 | 39.1161 | 43.0414 | 17.4493 |
| 1.3394 | 2.0 | 3684 | 1.3741 | 47.2947 | 23.5658 | 39.8063 | 43.487 | 17.1819 |
| 1.2786 | 3.0 | 5526 | 1.3692 | 47.2141 | 23.4837 | 39.7822 | 43.2157 | 17.1612 |
| 1.2274 | 4.0 | 7368 | 1.3776 | 47.6914 | 24.1243 | 40.1764 | 43.9611 | 17.4042 |
| 1.2028 | 5.0 | 9210 | 1.3771 | 47.3328 | 23.5144 | 39.6487 | 43.4161 | 17.2357 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1
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Base model
google/flan-t5-base