flan-t5-base-sherif
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: 1.3875
- Rouge1: 46.7755
- Rouge2: 22.9511
- Rougel: 39.2562
- Rougelsum: 43.0321
- Gen Len: 17.3175
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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.4478 | 1.0 | 1842 | 1.3875 | 46.7755 | 22.9511 | 39.2562 | 43.0321 | 17.3175 |
Framework versions
- Transformers 4.31.0
- Pytorch 1.12.1+cu116
- Datasets 2.14.3
- Tokenizers 0.12.1
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Model tree for sherif1311/flan-t5-base-sherif
Base model
google/flan-t5-baseEvaluation results
- Rouge1 on samsumtest set self-reported46.776