End of training

README.md

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+---
+base_model: Rajan/NepaliBERT
+tags:
+- generated_from_trainer
+model-index:
+- name: nepali_gov_complaints_classification2
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# nepali_gov_complaints_classification2
+
+This model is a fine-tuned version of [Rajan/NepaliBERT](https://huggingface.co/Rajan/NepaliBERT) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2107
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.5513        | 1.0   | 2244  | 0.4012          |
+| 0.2279        | 2.0   | 4488  | 0.2421          |
+| 0.0729        | 3.0   | 6732  | 0.2050          |
+| 0.197         | 4.0   | 8976  | 0.2118          |
+| 0.029         | 5.0   | 11220 | 0.2107          |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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