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mT5_multilingual_XLSum-finetuned-xlsum-coba
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: 1.2369
- Rouge1: 0.3744
- Rouge2: 0.1718
- Rougel: 0.3092
- Rougelsum: 0.3106
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: 0.00056
- 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 |
|---|---|---|---|---|---|---|---|
| 1.6963 | 1.0 | 7648 | 1.2369 | 0.3744 | 0.1718 | 0.3092 | 0.3106 |
| 1.6975 | 2.0 | 15296 | 1.2369 | 0.3744 | 0.1718 | 0.3092 | 0.3106 |
| 1.6969 | 3.0 | 22944 | 1.2369 | 0.3744 | 0.1718 | 0.3092 | 0.3106 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
