news-summarization-argilla
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.6405
- Rouge1: 0.2882
- Rouge2: 0.0847
- Rougel: 0.2411
- Rougelsum: 0.2412
- 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: 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 12 | 4.0721 | 0.2503 | 0.0688 | 0.2149 | 0.2162 | 19.0 |
| No log | 2.0 | 24 | 3.8238 | 0.269 | 0.0756 | 0.2266 | 0.2281 | 19.0 |
| No log | 3.0 | 36 | 3.6874 | 0.283 | 0.0846 | 0.2387 | 0.2388 | 19.0 |
| No log | 4.0 | 48 | 3.6405 | 0.2882 | 0.0847 | 0.2411 | 0.2412 | 19.0 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2