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flan-t5-small-finetuned-xsum
This model is a fine-tuned version of google/flan-t5-small on the xsum dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 26.422
- Rouge2: 7.2028
- Rougel: 21.006
- Rougelsum: 21.0068
- Gen Len: 18.5694
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: 2e-05
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.0 | 1.0 | 17004 | nan | 26.422 | 7.2028 | 21.006 | 21.0068 | 18.5694 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1
- Datasets 2.6.1
- Tokenizers 0.13.1
