End of training

README.md

@@ -0,0 +1,61 @@
+---
+base_model: Rajan/NepaliBERT
+tags:
+- generated_from_trainer
+model-index:
+- name: nepali_gov_complaints_classification
+  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_classification
+
+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: 0.2503
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.5465        | 1.0   | 2244  | 0.4318          |
+| 0.2461        | 2.0   | 4488  | 0.2543          |
+| 0.16          | 3.0   | 6732  | 0.2385          |
+| 0.0621        | 4.0   | 8976  | 0.2388          |
+| 0.1181        | 5.0   | 11220 | 0.2503          |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c18210671d2c1025c8519975680a77e4d5f633bc17d28026b879837c75d896ce
+oid sha256:05ca3e3d07b8358bbaba3478503163aa83bc462ddebf440ca1d746dbcce14925
 size 327711728