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wiki_lingua-en-8-3-5.6e-05-mt5-small-finetuned
This model is a fine-tuned version of google/mt5-small on the wiki_lingua dataset. It achieves the following results on the evaluation set:
- Loss: 2.3335
- Rouge1: 26.1973
- Rouge2: 9.0993
- Rougel: 22.5436
- Rougelsum: 25.443
Baseline Results
- Rouge1: 22.85
- Rouge2: 5.56
- Rougel: 15.13
- Rougelsum: 15.13
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 3.1095 | 1.0 | 11940 | 2.4383 | 24.7073 | 8.2191 | 21.4226 | 23.9708 |
| 2.7001 | 2.0 | 23880 | 2.3580 | 25.6263 | 8.7567 | 22.0851 | 24.8914 |
| 2.615 | 3.0 | 35820 | 2.3335 | 26.1973 | 9.0993 | 22.5436 | 25.443 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
