End of training

README.md

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+---
+license: afl-3.0
+base_model: Hate-speech-CNERG/hindi-abusive-MuRIL
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: hb_2
+  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. -->
+
+# hb_2
+
+This model is a fine-tuned version of [Hate-speech-CNERG/hindi-abusive-MuRIL](https://huggingface.co/Hate-speech-CNERG/hindi-abusive-MuRIL) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0667
+- Accuracy: 0.9914
+
+## 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
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 44   | 0.1317          | 0.9698   |
+| No log        | 2.0   | 88   | 0.0761          | 0.9914   |
+| No log        | 3.0   | 132  | 0.0667          | 0.9914   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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