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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_def_v2 |
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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_def_v2 |
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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: 3.5135 |
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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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| 5.9985 | 1.0 | 2487 | 5.4179 | |
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| 5.1899 | 2.0 | 4974 | 4.8725 | |
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| 4.8308 | 3.0 | 7461 | 4.6051 | |
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| 4.6303 | 4.0 | 9948 | 4.4425 | |
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| 4.4543 | 5.0 | 12435 | 4.3072 | |
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| 4.2875 | 6.0 | 14922 | 4.2110 | |
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| 4.2355 | 7.0 | 17409 | 4.1004 | |
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| 4.1108 | 8.0 | 19896 | 4.0693 | |
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| 4.0311 | 9.0 | 22383 | 3.9807 | |
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| 3.9836 | 10.0 | 24870 | 3.9329 | |
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| 3.9049 | 11.0 | 27357 | 3.9332 | |
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| 3.8663 | 12.0 | 29844 | 3.9027 | |
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| 3.7633 | 13.0 | 32331 | 3.8750 | |
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| 3.7639 | 14.0 | 34818 | 3.7487 | |
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| 3.6831 | 15.0 | 37305 | 3.7775 | |
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| 3.6808 | 16.0 | 39792 | 3.7372 | |
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| 3.6136 | 17.0 | 42279 | 3.7313 | |
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| 3.5998 | 18.0 | 44766 | 3.6778 | |
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| 3.531 | 19.0 | 47253 | 3.6912 | |
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| 3.5361 | 20.0 | 49740 | 3.6869 | |
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| 3.509 | 21.0 | 52227 | 3.6790 | |
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| 3.4625 | 22.0 | 54714 | 3.6425 | |
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| 3.418 | 23.0 | 57201 | 3.6572 | |
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| 3.369 | 24.0 | 59688 | 3.6407 | |
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| 3.3832 | 25.0 | 62175 | 3.6278 | |
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| 3.3728 | 26.0 | 64662 | 3.5715 | |
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| 3.3304 | 27.0 | 67149 | 3.6413 | |
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| 3.2864 | 28.0 | 69636 | 3.5743 | |
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| 3.3057 | 29.0 | 72123 | 3.5227 | |
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| 3.2916 | 30.0 | 74610 | 3.5448 | |
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| 3.2541 | 31.0 | 77097 | 3.5422 | |
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| 3.2293 | 32.0 | 79584 | 3.5775 | |
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| 3.1839 | 33.0 | 82071 | 3.5705 | |
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| 3.2106 | 34.0 | 84558 | 3.5680 | |
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| 3.185 | 35.0 | 87045 | 3.5225 | |
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| 3.1845 | 36.0 | 89532 | 3.5237 | |
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| 3.1581 | 37.0 | 92019 | 3.5300 | |
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| 3.1569 | 38.0 | 94506 | 3.5081 | |
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| 3.1222 | 39.0 | 96993 | 3.5217 | |
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| 3.1007 | 40.0 | 99480 | 3.4810 | |
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| 3.1094 | 41.0 | 101967 | 3.5475 | |
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| 3.1289 | 42.0 | 104454 | 3.5126 | |
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| 3.0841 | 43.0 | 106941 | 3.5076 | |
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| 3.0834 | 44.0 | 109428 | 3.5101 | |
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| 3.0862 | 45.0 | 111915 | 3.4777 | |
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| 3.0843 | 46.0 | 114402 | 3.5116 | |
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| 3.042 | 47.0 | 116889 | 3.5031 | |
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| 3.0424 | 48.0 | 119376 | 3.4991 | |
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| 3.0855 | 49.0 | 121863 | 3.5203 | |
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| 3.0325 | 50.0 | 124350 | 3.5110 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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