End of training

README.md

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+---
+library_name: transformers
+language:
+- np
+base_model: dexhrestha/Nepali-DistilBERT
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: Nepali-BERT-devangari-sentiment
+  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-BERT-devangari-sentiment
+
+This model is a fine-tuned version of [dexhrestha/Nepali-DistilBERT](https://huggingface.co/dexhrestha/Nepali-DistilBERT) on the Custom Devangari Datasets dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5347
+- Accuracy: 0.8403
+- F1: 0.4837
+- Precision: 0.3875
+- Recall: 0.6435
+
+## 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: 1e-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: 500
+- num_epochs: 8
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.5776        | 1.0   | 1189 | 0.5874          | 0.8373   | 0.4543 | 0.3725    | 0.5823 |
+| 0.4707        | 2.0   | 2378 | 0.5347          | 0.8403   | 0.4837 | 0.3875    | 0.6435 |
+| 0.3921        | 3.0   | 3567 | 0.6306          | 0.8530   | 0.4732 | 0.4057    | 0.5675 |
+| 0.3146        | 4.0   | 4756 | 0.8935          | 0.8719   | 0.4673 | 0.4526    | 0.4831 |
+| 0.248         | 5.0   | 5945 | 1.1782          | 0.8776   | 0.4582 | 0.4720    | 0.4451 |
+| 0.1978        | 6.0   | 7134 | 1.2942          | 0.8648   | 0.4687 | 0.4316    | 0.5127 |
+| 0.1504        | 7.0   | 8323 | 1.5298          | 0.8663   | 0.4609 | 0.4339    | 0.4916 |
+| 0.1259        | 8.0   | 9512 | 1.6731          | 0.8761   | 0.4432 | 0.4642    | 0.4241 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.2
+- Tokenizers 0.19.1

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