t5-base-finetuned-samsum-test
This model is a fine-tuned version of t5-base on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.3827
- Rouge1: 46.1056
- Rouge2: 22.0129
- Rougel: 38.4721
- Rougelsum: 42.0482
- Gen Len: 16.4737
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: 0.0002
- train_batch_size: 2
- eval_batch_size: 2
- 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 |
|---|---|---|---|---|---|---|---|---|
| 1.5045 | 1.0 | 7366 | 1.3827 | 46.1056 | 22.0129 | 38.4721 | 42.0482 | 16.4737 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
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