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--- |
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license: mit |
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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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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: indic-bert-finetuned-code-mixed-DS |
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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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# indic-bert-finetuned-code-mixed-DS |
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This model is a fine-tuned version of [ai4bharat/indic-bert](https://huggingface.co./ai4bharat/indic-bert) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8981 |
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- Accuracy: 0.5594 |
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- Precision: 0.3838 |
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- Recall: 0.5263 |
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- F1: 0.4118 |
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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: 1e-06 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 43 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| 1.0941 | 2.0 | 497 | 1.0845 | 0.3441 | 0.3615 | 0.4180 | 0.2706 | |
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| 1.0379 | 3.99 | 994 | 0.9775 | 0.5412 | 0.3779 | 0.5128 | 0.4003 | |
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| 0.9509 | 5.99 | 1491 | 0.9271 | 0.5513 | 0.3752 | 0.5144 | 0.4043 | |
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| 0.9152 | 7.98 | 1988 | 0.9047 | 0.5614 | 0.3852 | 0.5275 | 0.4131 | |
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| 0.8953 | 9.98 | 2485 | 0.8981 | 0.5594 | 0.3838 | 0.5263 | 0.4118 | |
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### Framework versions |
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- Transformers 4.20.1 |
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- Pytorch 1.10.1+cu111 |
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- Datasets 2.3.2 |
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- Tokenizers 0.12.1 |
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