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wiki_lingua-fr-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: 1.9117
- Rouge1: 19.9596
- Rouge2: 7.5052
- Rougel: 17.4363
- Rougelsum: 19.5192
Baseline LEAD-64
- Rouge1: 22.4
- Rouge2: 5.92
- Rougel: 14.44
- Rougelsum: 14.44
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 |
|---|---|---|---|---|---|---|---|
| 2.8962 | 1.0 | 5428 | 2.0026 | 18.8621 | 6.6127 | 16.0264 | 18.4354 |
| 2.313 | 2.0 | 10856 | 1.9260 | 19.7274 | 7.2791 | 17.0466 | 19.2904 |
| 2.2248 | 3.0 | 16284 | 1.9117 | 19.9596 | 7.5052 | 17.4363 | 19.5192 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
