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mT5_multilingual_XLSum-finetuned-indosum
This model is a fine-tuned version of csebuetnlp/mT5_multilingual_XLSum on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5512
- Rouge1: 0.3819
- Rouge2: 0.3102
- Rougel: 0.3529
- Rougelsum: 0.3687
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adafactor
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 1.8183 | 1.0 | 7131 | 1.5512 | 0.3819 | 0.3102 | 0.3529 | 0.3687 |
| 1.8191 | 2.0 | 14262 | 1.5512 | 0.3819 | 0.3102 | 0.3529 | 0.3687 |
| 1.8197 | 3.0 | 21393 | 1.5512 | 0.3819 | 0.3102 | 0.3529 | 0.3687 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
