End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: ai4bharat/indic-bert
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: indic-bert-profanity-mr
+  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. -->
+
+# indic-bert-profanity-mr
+
+This model is a fine-tuned version of [ai4bharat/indic-bert](https://huggingface.co/ai4bharat/indic-bert) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3187
+- Accuracy: 0.9035
+- Precision: 0.4517
+- Recall: 0.5
+- F1: 0.4746
+
+## 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: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 128
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.3272        | 0.9836 | 30   | 0.3721          | 0.8819   | 0.4410    | 0.5    | 0.4686 |
+| 0.3332        | 2.0    | 61   | 0.3677          | 0.8819   | 0.4410    | 0.5    | 0.4686 |
+| 0.3293        | 2.9836 | 91   | 0.3768          | 0.8819   | 0.4410    | 0.5    | 0.4686 |
+| 0.3275        | 4.0    | 122  | 0.3612          | 0.8819   | 0.4410    | 0.5    | 0.4686 |
+| 0.2919        | 4.9836 | 152  | 0.3752          | 0.8819   | 0.4410    | 0.5    | 0.4686 |
+| 0.291         | 6.0    | 183  | 0.3618          | 0.8819   | 0.4410    | 0.5    | 0.4686 |
+| 0.281         | 6.9836 | 213  | 0.3793          | 0.8819   | 0.4410    | 0.5    | 0.4686 |
+| 0.2399        | 8.0    | 244  | 0.3854          | 0.8819   | 0.4410    | 0.5    | 0.4686 |
+| 0.1822        | 8.9836 | 274  | 0.4216          | 0.8819   | 0.4410    | 0.5    | 0.4686 |
+| 0.1354        | 9.8361 | 300  | 0.4200          | 0.8819   | 0.6938    | 0.5265 | 0.5229 |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

model.safetensors

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