mT5_multilingual_XLSum-marathi-summarization
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: 0.0760
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5994 | 0.55 | 100 | 0.1662 |
| 0.2766 | 1.09 | 200 | 0.1032 |
| 0.1967 | 1.64 | 300 | 0.0881 |
| 0.194 | 2.19 | 400 | 0.0850 |
| 0.1667 | 2.73 | 500 | 0.0821 |
| 0.1615 | 3.28 | 600 | 0.0780 |
| 0.1368 | 3.83 | 700 | 0.0783 |
| 0.1372 | 4.37 | 800 | 0.0762 |
| 0.1265 | 4.92 | 900 | 0.0760 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0+cpu
- Datasets 2.1.0
- Tokenizers 0.13.3