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cnn_news_summary_model_trained_on_reduced_data
This model is a fine-tuned version of t5-small on the cnn_dailymail dataset. It achieves the following results on the evaluation set:
- Loss: 1.6041
- Rouge1: 0.219
- Rouge2: 0.0948
- Rougel: 0.1848
- Rougelsum: 0.1848
- Generated Length: 19.0
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: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Generated Length |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 431 | 1.6223 | 0.2175 | 0.0939 | 0.1828 | 0.1829 | 19.0 |
| 1.9219 | 2.0 | 862 | 1.6070 | 0.2183 | 0.0942 | 0.184 | 0.1841 | 19.0 |
| 1.8272 | 3.0 | 1293 | 1.6041 | 0.219 | 0.0948 | 0.1848 | 0.1848 | 19.0 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
