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--- |
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library_name: transformers |
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base_model: csebuetnlp/banglabert |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: results |
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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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# results |
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This model is a fine-tuned version of [csebuetnlp/banglabert](https://huggingface.co/csebuetnlp/banglabert) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7260 |
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- Accuracy: 0.7417 |
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- F1: 0.7267 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 0.9409 | 1.0 | 35 | 0.9145 | 0.6583 | 0.6004 | |
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| 0.7658 | 2.0 | 70 | 0.7490 | 0.725 | 0.6680 | |
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| 0.6112 | 3.0 | 105 | 0.6922 | 0.7333 | 0.6772 | |
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| 0.4237 | 4.0 | 140 | 0.6434 | 0.7583 | 0.7283 | |
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| 0.327 | 5.0 | 175 | 0.6385 | 0.7667 | 0.7513 | |
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| 0.2258 | 6.0 | 210 | 0.6861 | 0.7333 | 0.7266 | |
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| 0.1018 | 7.0 | 245 | 0.7522 | 0.7583 | 0.7327 | |
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| 0.0794 | 8.0 | 280 | 0.8856 | 0.7667 | 0.7506 | |
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| 0.0543 | 9.0 | 315 | 0.9427 | 0.7417 | 0.7368 | |
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| 0.03 | 10.0 | 350 | 0.9346 | 0.75 | 0.7339 | |
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| 0.0252 | 11.0 | 385 | 1.0011 | 0.7333 | 0.7274 | |
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| 0.0324 | 12.0 | 420 | 1.0499 | 0.75 | 0.7366 | |
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| 0.0139 | 13.0 | 455 | 1.0554 | 0.7333 | 0.7173 | |
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| 0.014 | 14.0 | 490 | 1.0881 | 0.7583 | 0.7492 | |
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| 0.0131 | 15.0 | 525 | 1.0949 | 0.7583 | 0.7492 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
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