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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: google/muril-base-cased
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: nepali_complaints_classification_muril3
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+ results: []
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+ ---
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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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+
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+ # nepali_complaints_classification_muril3
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+
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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: 0.2575
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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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_steps: 50
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+ - num_epochs: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.3973 | 0.25 | 500 | 2.0247 |
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+ | 1.7073 | 0.5 | 1000 | 1.3814 |
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+ | 1.1586 | 0.75 | 1500 | 0.9054 |
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+ | 0.8099 | 1.0 | 2000 | 0.6431 |
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+ | 0.5456 | 1.25 | 2500 | 0.4845 |
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+ | 0.434 | 1.5 | 3000 | 0.4157 |
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+ | 0.3643 | 1.75 | 3500 | 0.3814 |
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+ | 0.3144 | 2.01 | 4000 | 0.3432 |
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+ | 0.2616 | 2.26 | 4500 | 0.3156 |
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+ | 0.2418 | 2.51 | 5000 | 0.2952 |
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+ | 0.2256 | 2.76 | 5500 | 0.2805 |
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+ | 0.2157 | 3.01 | 6000 | 0.2908 |
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+ | 0.1749 | 3.26 | 6500 | 0.2847 |
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+ | 0.1626 | 3.51 | 7000 | 0.2734 |
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+ | 0.1522 | 3.76 | 7500 | 0.2658 |
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+ | 0.1443 | 4.01 | 8000 | 0.2560 |
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+ | 0.1196 | 4.26 | 8500 | 0.2580 |
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+ | 0.1138 | 4.51 | 9000 | 0.2618 |
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+ | 0.1119 | 4.76 | 9500 | 0.2575 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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