bn_news_article_summarization
This model is a fine-tuned version of csebuetnlp/banglat5 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1868
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: 0.001
- train_batch_size: 20
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 160
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 100
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.99 | 83 | 0.5499 |
| No log | 2.0 | 167 | 0.6308 |
| 16.0025 | 2.99 | 250 | 0.4921 |
| 16.0025 | 3.99 | 334 | 0.4755 |
| 0.5191 | 5.0 | 418 | 0.4795 |
| 0.5191 | 5.99 | 501 | 0.4719 |
| 0.5191 | 7.0 | 585 | 0.4575 |
| 0.4756 | 8.0 | 669 | 0.4345 |
| 0.4756 | 8.99 | 752 | 0.3438 |
| 0.4157 | 10.0 | 836 | 0.2664 |
| 0.4157 | 10.99 | 919 | 0.2263 |
| 0.2776 | 11.99 | 1003 | 0.2013 |
| 0.2776 | 13.0 | 1087 | 0.1899 |
| 0.2776 | 13.99 | 1170 | 0.1872 |
| 0.2269 | 14.89 | 1245 | 0.1868 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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