mt5-small-finetuned-indonesian-text-summarization-three-epochs
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: 0.7214
- Rouge1: 63.0357
- Rouge2: 57.4431
- Rougel: 62.4971
- Rougelsum: 62.4881
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 |
|---|---|---|---|---|---|---|---|
| 2.3815 | 1.0 | 1783 | 0.8140 | 61.6055 | 56.088 | 61.0342 | 61.081 |
| 0.8829 | 2.0 | 3566 | 0.7622 | 62.9403 | 57.3298 | 62.375 | 62.4116 |
| 0.7926 | 3.0 | 5349 | 0.7214 | 63.0357 | 57.4431 | 62.4971 | 62.4881 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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