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mt5-base-finetuned-liputan6-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: 0.6428
- Rouge1: 0.37
- Rouge2: 0.2512
- Rougel: 0.3302
- Rougelsum: 0.3479
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 10.8402 | 1.0 | 4970 | 0.9818 | 0.2754 | 0.1704 | 0.2475 | 0.2597 |
| 1.2001 | 2.0 | 9940 | 0.6614 | 0.3682 | 0.2521 | 0.3291 | 0.3461 |
| 0.9427 | 3.0 | 14910 | 0.6428 | 0.37 | 0.2512 | 0.3302 | 0.3479 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.0
- Tokenizers 0.13.2
