End of training

README.md

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+---
+library_name: transformers
+language:
+- np
+base_model: RoBERTa
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: RoBERTa-devangari-script-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. -->
+
+# RoBERTa-devangari-script-classification
+
+This model is a fine-tuned version of [RoBERTa](https://huggingface.co/RoBERTa) on the Custom Devangari Datasets dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0329
+- Accuracy: 0.9935
+- F1: 0.9935
+- Precision: 0.9935
+- Recall: 0.9935
+
+## 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: 3e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.2337        | 0.9997 | 1638 | 0.0603          | 0.9874   | 0.9874 | 0.9875    | 0.9874 |
+| 0.0513        | 2.0    | 3277 | 0.0387          | 0.9919   | 0.9919 | 0.9919    | 0.9919 |
+| 0.0252        | 2.9991 | 4914 | 0.0329          | 0.9935   | 0.9935 | 0.9935    | 0.9935 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.2
+- Tokenizers 0.19.1

runs/Oct23_11-48-24_bdafbc58a223/events.out.tfevents.1729684150.bdafbc58a223.4796.0

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