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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-non-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-non-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: 0.9997 |
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- Accuracy: 0.5620 |
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- Precision: 0.5591 |
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- Recall: 0.5203 |
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- F1: 0.5078 |
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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: 32 |
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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: 20 |
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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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| 1.0673 | 3.99 | 926 | 1.0361 | 0.4142 | 0.4092 | 0.3851 | 0.2750 | |
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| 1.0144 | 7.98 | 1852 | 1.0147 | 0.5146 | 0.5851 | 0.4714 | 0.4184 | |
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| 0.9882 | 11.97 | 2778 | 1.0045 | 0.5599 | 0.5728 | 0.5191 | 0.5047 | |
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| 0.9699 | 15.97 | 3704 | 1.0004 | 0.5642 | 0.5620 | 0.5264 | 0.5193 | |
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| 0.9591 | 19.96 | 4630 | 0.9997 | 0.5620 | 0.5591 | 0.5203 | 0.5078 | |
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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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