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update model card README.md
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README.md
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---
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license: apache-2.0
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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: muril-base-cased-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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# muril-base-cased-finetuned-non-code-mixed-DS
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This model is a fine-tuned version of [google/muril-base-cased](https://huggingface.co/google/muril-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2867
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- Accuracy: 0.6214
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- Precision: 0.6081
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- Recall: 0.6009
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- F1: 0.6034
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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-05
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- train_batch_size: 32
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- eval_batch_size: 32
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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: 25
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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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| 1.0861 | 2.0 | 463 | 1.0531 | 0.3506 | 0.1169 | 0.3333 | 0.1731 |
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| 0.99 | 3.99 | 926 | 0.9271 | 0.5836 | 0.4310 | 0.5200 | 0.4502 |
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| 0.8759 | 5.99 | 1389 | 0.9142 | 0.5965 | 0.5788 | 0.5907 | 0.5802 |
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| 0.7726 | 7.98 | 1852 | 0.8726 | 0.6095 | 0.6079 | 0.6078 | 0.6027 |
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| 0.6659 | 9.98 | 2315 | 0.9145 | 0.6246 | 0.6139 | 0.6174 | 0.6140 |
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| 0.5727 | 11.97 | 2778 | 0.9606 | 0.6311 | 0.6180 | 0.6109 | 0.6133 |
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| 0.4889 | 13.97 | 3241 | 1.0342 | 0.6170 | 0.6059 | 0.6054 | 0.6045 |
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| 0.4267 | 15.97 | 3704 | 1.0539 | 0.6170 | 0.6089 | 0.6081 | 0.6066 |
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| 0.3751 | 17.96 | 4167 | 1.1740 | 0.6343 | 0.6255 | 0.6074 | 0.6112 |
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| 0.3402 | 19.96 | 4630 | 1.2021 | 0.6192 | 0.6078 | 0.6013 | 0.6031 |
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| 0.318 | 21.95 | 5093 | 1.2875 | 0.6181 | 0.6007 | 0.5946 | 0.5965 |
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| 0.2977 | 23.95 | 5556 | 1.2867 | 0.6214 | 0.6081 | 0.6009 | 0.6034 |
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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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