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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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base_model: google/muril-base-cased |
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widget: |
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- text: >- |
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मेयरले उपभोक्ता समितिसँग ३० प्रतिशत कमिसन लिएपछि विकासको काम गुणस्तरहीन, |
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दबाब झेल्न नसकेर प्रशासकीय अधिकृतको भागाभाग। बाह्रबिसेका मेयरको मनोमानी- |
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दोहोरीमा रमाइलो गरेको बिलसमेत नगरपालिकाबाटै भुक्तानी गर्न दबाब मेयरले |
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उपभोक्ता समितिसँग ३० प्रतिशत कमिसन लिएपछि विकासको काम गुणस्तरहीन, दबाब |
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झेल्न नसकेर प्रशासकीय अधिकृतको भागाभाग। |
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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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<!-- 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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# nepali_complaints_classification_muril3 |
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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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## 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: 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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### Training results |
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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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### Framework versions |
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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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