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my_awesome_newssum_model
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3029
- Rouge1: 0.1908
- Rouge2: 0.1287
- Rougel: 0.1738
- Rougelsum: 0.174
- Gen Len: 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 223 | 0.3720 | 0.1844 | 0.121 | 0.1663 | 0.1665 | 19.0 |
| No log | 2.0 | 446 | 0.3240 | 0.1876 | 0.124 | 0.1692 | 0.1694 | 19.0 |
| 0.664 | 3.0 | 669 | 0.3072 | 0.1876 | 0.1244 | 0.1701 | 0.1704 | 19.0 |
| 0.664 | 4.0 | 892 | 0.3029 | 0.1908 | 0.1287 | 0.1738 | 0.174 | 19.0 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3
