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mT5_multilingual_XLSum-finetuned-summarization-V2
This model is a fine-tuned version of csebuetnlp/mT5_multilingual_XLSum on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5523
- Rouge1: 25.8727
- Rouge2: 16.1688
- Rougel: 19.8093
- Rougelsum: 23.4429
- Gen Len: 34.4286
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: 2e-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 | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 13 | 1.8850 | 23.9901 | 12.4882 | 17.2823 | 20.8977 | 31.2857 |
| No log | 2.0 | 26 | 1.5894 | 25.1547 | 14.8857 | 19.2203 | 22.9079 | 31.8571 |
| No log | 3.0 | 39 | 1.5523 | 25.8727 | 16.1688 | 19.8093 | 23.4429 | 34.4286 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
