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--- |
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base_model: csebuetnlp/banglabert |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Banglabert_nwp_finetuning_test1 |
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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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# Banglabert_nwp_finetuning_test1 |
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This model is a fine-tuned version of [csebuetnlp/banglabert](https://huggingface.co./csebuetnlp/banglabert) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.1145 |
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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: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 50 |
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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 | 1.0 | 403 | 7.4663 | |
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| 7.9712 | 2.0 | 806 | 6.5917 | |
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| 6.8071 | 3.0 | 1209 | 6.0256 | |
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| 6.0374 | 4.0 | 1612 | 5.6658 | |
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| 5.6471 | 5.0 | 2015 | 5.4585 | |
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| 5.6471 | 6.0 | 2418 | 5.2872 | |
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| 5.3912 | 7.0 | 2821 | 5.2068 | |
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| 5.1951 | 8.0 | 3224 | 4.9943 | |
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| 4.9863 | 9.0 | 3627 | 4.9361 | |
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| 4.8637 | 10.0 | 4030 | 5.0372 | |
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| 4.8637 | 11.0 | 4433 | 4.8487 | |
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| 4.7391 | 12.0 | 4836 | 4.7716 | |
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| 4.6406 | 13.0 | 5239 | 4.6486 | |
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| 4.5531 | 14.0 | 5642 | 4.6206 | |
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| 4.438 | 15.0 | 6045 | 4.5695 | |
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| 4.438 | 16.0 | 6448 | 4.5419 | |
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| 4.349 | 17.0 | 6851 | 4.5311 | |
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| 4.2898 | 18.0 | 7254 | 4.5808 | |
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| 4.215 | 19.0 | 7657 | 4.4420 | |
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| 4.1477 | 20.0 | 8060 | 4.4000 | |
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| 4.1477 | 21.0 | 8463 | 4.4062 | |
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| 4.0975 | 22.0 | 8866 | 4.4725 | |
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| 4.0181 | 23.0 | 9269 | 4.3565 | |
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| 3.9865 | 24.0 | 9672 | 4.2207 | |
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| 3.9196 | 25.0 | 10075 | 4.2460 | |
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| 3.9196 | 26.0 | 10478 | 4.2876 | |
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| 3.9069 | 27.0 | 10881 | 4.2645 | |
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| 3.8349 | 28.0 | 11284 | 4.2974 | |
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| 3.7824 | 29.0 | 11687 | 4.3730 | |
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| 3.736 | 30.0 | 12090 | 4.2604 | |
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| 3.736 | 31.0 | 12493 | 4.3195 | |
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| 3.7202 | 32.0 | 12896 | 4.1342 | |
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| 3.6897 | 33.0 | 13299 | 4.3159 | |
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| 3.6388 | 34.0 | 13702 | 4.1019 | |
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| 3.6448 | 35.0 | 14105 | 4.1839 | |
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| 3.6099 | 36.0 | 14508 | 4.1900 | |
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| 3.6099 | 37.0 | 14911 | 4.0979 | |
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| 3.5708 | 38.0 | 15314 | 4.1737 | |
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| 3.5502 | 39.0 | 15717 | 4.1915 | |
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| 3.5159 | 40.0 | 16120 | 4.1158 | |
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| 3.5086 | 41.0 | 16523 | 4.0181 | |
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| 3.5086 | 42.0 | 16926 | 4.1328 | |
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| 3.4808 | 43.0 | 17329 | 4.0247 | |
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| 3.4733 | 44.0 | 17732 | 4.1688 | |
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| 3.4681 | 45.0 | 18135 | 4.1177 | |
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| 3.4689 | 46.0 | 18538 | 4.1093 | |
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| 3.4689 | 47.0 | 18941 | 4.1418 | |
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| 3.434 | 48.0 | 19344 | 4.0152 | |
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| 3.4513 | 49.0 | 19747 | 4.1412 | |
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| 3.4158 | 50.0 | 20150 | 4.1036 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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