mt5-small-finetuned-indonesian-text-summarization-v3
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7499
- Rouge1: 63.8193
- Rouge2: 58.2187
- Rougel: 63.1123
- Rougelsum: 63.2782
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.2426 | 1.0 | 1783 | 0.8618 | 62.2558 | 56.8185 | 61.5786 | 61.6898 |
| 0.9017 | 2.0 | 3566 | 0.7946 | 62.8862 | 57.2359 | 62.151 | 62.3178 |
| 0.7717 | 3.0 | 5349 | 0.7633 | 63.2898 | 57.6478 | 62.552 | 62.7381 |
| 0.7093 | 4.0 | 7132 | 0.7402 | 63.6899 | 58.0258 | 62.9883 | 63.137 |
| 0.6815 | 5.0 | 8915 | 0.7499 | 63.8193 | 58.2187 | 63.1123 | 63.2782 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
google/mt5-small