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mt5-base-coba-coba-coba
This model is a fine-tuned version of google/mt5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5870
- Rouge1: 0.4336
- Rouge2: 0.288
- Rougel: 0.3746
- Rougelsum: 0.4095
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-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 7.0922 | 1.0 | 7452 | 0.6538 | 0.3557 | 0.239 | 0.3216 | 0.3342 |
| 0.9442 | 2.0 | 14904 | 0.6900 | 0.427 | 0.2868 | 0.371 | 0.4028 |
| 3.0789 | 3.0 | 22356 | 0.6775 | 0.3801 | 0.2581 | 0.34 | 0.3564 |
| 1.0565 | 4.0 | 29808 | 0.5928 | 0.4345 | 0.2885 | 0.376 | 0.4102 |
| 0.7872 | 5.0 | 37260 | 0.5870 | 0.4336 | 0.288 | 0.3746 | 0.4095 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.9.1
- Datasets 2.7.1
- Tokenizers 0.13.2
