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wiki_lingua-cs-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: 2.6706
- Rouge1: 14.7738
- Rouge2: 4.1406
- Rougel: 13.0515
- Rougelsum: 14.3388
Baseline LEAD-64
- Rouge1: 21.28
- Rouge2: 4.55
- Rougel: 12.97
- Rougelsum: 12.98
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 |
|---|---|---|---|---|---|---|---|
| 5.8493 | 1.0 | 609 | 2.7949 | 12.8232 | 3.3348 | 11.0312 | 12.4584 |
| 3.701 | 2.0 | 1218 | 2.6966 | 14.6541 | 4.0724 | 12.9018 | 14.2196 |
| 3.546 | 3.0 | 1827 | 2.6706 | 14.7738 | 4.1406 | 13.0515 | 14.3388 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
