mt5-small-finetuned-oneindia
This model is a fine-tuned version of google/mt5-small on https://www.kaggle.com/datasets/akhisreelibra/malayalam-news dataset. It achieves the following results on the evaluation set:
- Loss: 2.0277
- Rouge1: 6.1146
- Rouge2: 0.9858
- Rougel: 6.085
- Rougelsum: 6.0965
Model description
Model outputs summarised one liner to an article.
Intended uses & limitations
Intended use in news domain, can be used to generate headlines to news articles.
Training and evaluation data
https://www.kaggle.com/datasets/akhisreelibra/malayalam-news
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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 3.1789 | 1.0 | 8994 | 2.2686 | 5.5492 | 0.8569 | 5.5448 | 5.5362 |
| 2.5859 | 2.0 | 17988 | 2.1751 | 5.7343 | 0.9775 | 5.7166 | 5.7195 |
| 2.4438 | 3.0 | 26982 | 2.1082 | 5.9718 | 0.9917 | 5.9503 | 5.9586 |
| 2.3584 | 4.0 | 35976 | 2.0730 | 6.1837 | 1.0286 | 6.1562 | 6.167 |
| 2.3015 | 5.0 | 44970 | 2.0512 | 6.0863 | 0.9656 | 6.0598 | 6.0643 |
| 2.2609 | 6.0 | 53964 | 2.0440 | 6.2119 | 0.9653 | 6.1859 | 6.1899 |
| 2.2344 | 7.0 | 62958 | 2.0303 | 6.2424 | 0.9835 | 6.2121 | 6.219 |
| 2.2166 | 8.0 | 71952 | 2.0277 | 6.1146 | 0.9858 | 6.085 | 6.0965 |
Framework versions
- Transformers 4.20.0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1