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--- |
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license: cc-by-4.0 |
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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: hing-mbert-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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# hing-mbert-finetuned-code-mixed-DS |
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This model is a fine-tuned version of [l3cube-pune/hing-mbert](https://huggingface.co/l3cube-pune/hing-mbert) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0518 |
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- Accuracy: 0.7545 |
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- Precision: 0.7041 |
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- Recall: 0.7076 |
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- F1: 0.7053 |
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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: 2.7277800745684633e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 3 |
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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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| 0.8338 | 1.0 | 497 | 0.6922 | 0.7163 | 0.6697 | 0.6930 | 0.6686 | |
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| 0.5744 | 2.0 | 994 | 0.7872 | 0.7324 | 0.6786 | 0.6967 | 0.6845 | |
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| 0.36 | 3.0 | 1491 | 1.0518 | 0.7545 | 0.7041 | 0.7076 | 0.7053 | |
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### Framework versions |
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- Transformers 4.21.3 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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