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summarizing_news
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.5292
- Rouge1: 0.384
- Rouge2: 0.1554
- Rougel: 0.3376
- Rougelsum: 0.3377
- Gen Len: 18.8513
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: 16
- eval_batch_size: 16
- seed: 72
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 63 | 3.0459 | 0.3393 | 0.1259 | 0.2985 | 0.2986 | 18.9927 |
| No log | 2.0 | 126 | 2.7214 | 0.3699 | 0.1458 | 0.3255 | 0.3257 | 18.9666 |
| No log | 3.0 | 189 | 2.5743 | 0.3805 | 0.153 | 0.3345 | 0.3347 | 18.8972 |
| No log | 4.0 | 252 | 2.5292 | 0.384 | 0.1554 | 0.3376 | 0.3377 | 18.8513 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
