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README.md
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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-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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# hing-mbert-finetuned-non-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: 1.6572
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- Accuracy: 0.6429
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- Precision: 0.6334
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- Recall: 0.6231
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- F1: 0.6262
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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: 4.932923543227153e-05
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- train_batch_size: 4
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 4
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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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| 1.005 | 0.5 | 926 | 0.9346 | 0.5707 | 0.5844 | 0.5274 | 0.5108 |
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| 0.969 | 1.0 | 1852 | 1.0295 | 0.5858 | 0.5893 | 0.5685 | 0.5455 |
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| 0.8976 | 1.5 | 2778 | 1.0491 | 0.5739 | 0.5712 | 0.5295 | 0.5152 |
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| 0.8578 | 2.0 | 3704 | 0.8577 | 0.6343 | 0.6443 | 0.6379 | 0.6318 |
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| 0.7164 | 2.5 | 4630 | 1.3325 | 0.6300 | 0.6219 | 0.5932 | 0.5939 |
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| 0.7391 | 3.0 | 5556 | 1.0329 | 0.6537 | 0.6489 | 0.6519 | 0.6467 |
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| 0.5454 | 3.5 | 6482 | 1.6031 | 0.6375 | 0.6525 | 0.6188 | 0.6218 |
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| 0.4927 | 4.0 | 7408 | 1.6572 | 0.6429 | 0.6334 | 0.6231 | 0.6262 |
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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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