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--- |
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base_model: csebuetnlp/banglat5 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bn_news_article_summarization |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# bn_news_article_summarization |
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This model is a fine-tuned version of [csebuetnlp/banglat5](https://huggingface.co/csebuetnlp/banglat5) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1868 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.001 |
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- train_batch_size: 20 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 160 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine_with_restarts |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 0.99 | 83 | 0.5499 | |
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| No log | 2.0 | 167 | 0.6308 | |
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| 16.0025 | 2.99 | 250 | 0.4921 | |
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| 16.0025 | 3.99 | 334 | 0.4755 | |
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| 0.5191 | 5.0 | 418 | 0.4795 | |
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| 0.5191 | 5.99 | 501 | 0.4719 | |
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| 0.5191 | 7.0 | 585 | 0.4575 | |
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| 0.4756 | 8.0 | 669 | 0.4345 | |
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| 0.4756 | 8.99 | 752 | 0.3438 | |
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| 0.4157 | 10.0 | 836 | 0.2664 | |
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| 0.4157 | 10.99 | 919 | 0.2263 | |
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| 0.2776 | 11.99 | 1003 | 0.2013 | |
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| 0.2776 | 13.0 | 1087 | 0.1899 | |
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| 0.2776 | 13.99 | 1170 | 0.1872 | |
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| 0.2269 | 14.89 | 1245 | 0.1868 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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