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mt5-small-finetuned-digikala-titleGen
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.8801
- Rouge1: 70.3489
- Rouge2: 43.245
- Rougel: 34.6608
- Rougelsum: 34.6608
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 7.5555 | 1.0 | 847 | 3.2594 | 45.6729 | 19.6446 | 31.5974 | 31.5974 |
| 4.1386 | 2.0 | 1694 | 3.0347 | 58.3021 | 32.8172 | 33.9012 | 33.9012 |
| 3.7449 | 3.0 | 2541 | 2.9665 | 66.731 | 40.8991 | 34.2203 | 34.2203 |
| 3.5575 | 4.0 | 3388 | 2.9102 | 65.598 | 39.4081 | 34.5116 | 34.5116 |
| 3.4062 | 5.0 | 4235 | 2.8944 | 69.6081 | 42.8707 | 34.6622 | 34.6622 |
| 3.3408 | 6.0 | 5082 | 2.8888 | 70.2123 | 42.8639 | 34.5669 | 34.5669 |
| 3.3025 | 7.0 | 5929 | 2.8801 | 70.3489 | 43.245 | 34.6608 | 34.6608 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
