mt5-base-wikinewssum-english
This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3040
- Rouge1: 8.9565
- Rouge2: 3.6563
- Rougel: 7.1346
- Rougelsum: 8.3802
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: 5.6e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 1010 | 2.4360 | 8.7287 | 3.5817 | 7.0093 | 8.1879 |
| No log | 2.0 | 2020 | 2.3922 | 8.7227 | 3.5385 | 6.96 | 8.1887 |
| No log | 3.0 | 3030 | 2.3422 | 8.8565 | 3.5772 | 7.0203 | 8.2957 |
| No log | 4.0 | 4040 | 2.3288 | 8.89 | 3.645 | 7.0602 | 8.3314 |
| 3.1253 | 5.0 | 5050 | 2.3209 | 8.868 | 3.6109 | 7.0537 | 8.299 |
| 3.1253 | 6.0 | 6060 | 2.3127 | 8.9488 | 3.6615 | 7.1044 | 8.3785 |
| 3.1253 | 7.0 | 7070 | 2.3056 | 8.9366 | 3.6507 | 7.1338 | 8.3615 |
| 3.1253 | 8.0 | 8080 | 2.3040 | 8.9565 | 3.6563 | 7.1346 | 8.3802 |
Framework versions
- Transformers 4.13.0
- Pytorch 1.10.1
- Datasets 1.16.1
- Tokenizers 0.10.3