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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-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-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: 1.0780 |
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- Accuracy: 0.5030 |
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- Precision: 0.3506 |
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- Recall: 0.4661 |
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- F1: 0.3695 |
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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: 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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- 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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| 1.0982 | 1.98 | 248 | 1.0974 | 0.1952 | 0.3968 | 0.3371 | 0.1140 | |
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| 1.0951 | 3.97 | 496 | 1.0909 | 0.4366 | 0.3352 | 0.4386 | 0.3319 | |
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| 1.0877 | 5.95 | 744 | 1.0837 | 0.4950 | 0.3491 | 0.4680 | 0.3664 | |
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| 1.0826 | 7.94 | 992 | 1.0798 | 0.5050 | 0.3503 | 0.4673 | 0.3705 | |
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| 1.0793 | 9.92 | 1240 | 1.0780 | 0.5030 | 0.3506 | 0.4661 | 0.3695 | |
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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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