flan-t5-xl-samsum
This model is a fine-tuned version of google/flan-t5-xl on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 49.0281
- Rouge2: 25.8273
- Rougel: 41.7919
- Rougelsum: 45.2608
- Gen Len: 16.6874
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: 3e-05
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.0 | 1.0 | 3683 | nan | 49.0281 | 25.8273 | 41.7919 | 45.2608 | 16.6874 |
| 0.0 | 2.0 | 7366 | nan | 49.0281 | 25.8273 | 41.7919 | 45.2608 | 16.6874 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.12.0+cu116
- Datasets 2.9.0
- Tokenizers 0.12.1
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