---
library_name: transformers
license: mit
base_model: ai4bharat/IndicBERTv2-MLM-only
tags:
- generated_from_trainer
model-index:
- name: alankar-classifier-v1
  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. -->

# alankar-classifier-v1

This model is a fine-tuned version of [ai4bharat/IndicBERTv2-MLM-only](https://huggingface.co/ai4bharat/IndicBERTv2-MLM-only) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2309
- F1 Micro: 0.3
- Roc Auc Micro: 0.8965

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1 Micro | Roc Auc Micro |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|
| No log        | 1.0   | 9    | 0.5472          | 0.0      | 0.4839        |
| No log        | 2.0   | 18   | 0.3904          | 0.0      | 0.4565        |
| No log        | 3.0   | 27   | 0.3580          | 0.0      | 0.4888        |
| No log        | 4.0   | 36   | 0.3461          | 0.0      | 0.5664        |
| No log        | 5.0   | 45   | 0.3480          | 0.0      | 0.5303        |
| No log        | 6.0   | 54   | 0.3479          | 0.0      | 0.5542        |
| No log        | 7.0   | 63   | 0.3390          | 0.0      | 0.6699        |
| No log        | 8.0   | 72   | 0.3341          | 0.0      | 0.7271        |
| No log        | 9.0   | 81   | 0.3236          | 0.0      | 0.7471        |
| No log        | 10.0  | 90   | 0.3166          | 0.0      | 0.7808        |
| No log        | 11.0  | 99   | 0.3066          | 0.0      | 0.8193        |
| No log        | 12.0  | 108  | 0.2969          | 0.0      | 0.8252        |
| No log        | 13.0  | 117  | 0.2921          | 0.0      | 0.8428        |
| No log        | 14.0  | 126  | 0.2883          | 0.0      | 0.8462        |
| No log        | 15.0  | 135  | 0.2798          | 0.0      | 0.8521        |
| No log        | 16.0  | 144  | 0.2732          | 0.1111   | 0.8555        |
| No log        | 17.0  | 153  | 0.2732          | 0.1111   | 0.8647        |
| No log        | 18.0  | 162  | 0.2678          | 0.1111   | 0.8662        |
| No log        | 19.0  | 171  | 0.2697          | 0.1111   | 0.8691        |
| No log        | 20.0  | 180  | 0.2629          | 0.1111   | 0.8818        |
| No log        | 21.0  | 189  | 0.2560          | 0.2105   | 0.8833        |
| No log        | 22.0  | 198  | 0.2478          | 0.2105   | 0.8848        |
| No log        | 23.0  | 207  | 0.2515          | 0.2105   | 0.8843        |
| No log        | 24.0  | 216  | 0.2458          | 0.3      | 0.8867        |
| No log        | 25.0  | 225  | 0.2423          | 0.2105   | 0.8857        |
| No log        | 26.0  | 234  | 0.2418          | 0.3      | 0.8853        |
| No log        | 27.0  | 243  | 0.2402          | 0.3      | 0.8955        |
| No log        | 28.0  | 252  | 0.2410          | 0.3      | 0.8916        |
| No log        | 29.0  | 261  | 0.2352          | 0.3      | 0.8940        |
| No log        | 30.0  | 270  | 0.2331          | 0.3      | 0.8940        |
| No log        | 31.0  | 279  | 0.2312          | 0.3      | 0.8970        |
| No log        | 32.0  | 288  | 0.2338          | 0.3      | 0.8979        |
| No log        | 33.0  | 297  | 0.2338          | 0.3      | 0.8975        |
| No log        | 34.0  | 306  | 0.2327          | 0.3      | 0.8945        |
| No log        | 35.0  | 315  | 0.2309          | 0.3      | 0.8950        |
| No log        | 36.0  | 324  | 0.2309          | 0.3      | 0.8970        |
| No log        | 37.0  | 333  | 0.2304          | 0.3      | 0.8975        |
| No log        | 38.0  | 342  | 0.2308          | 0.3      | 0.8965        |
| No log        | 39.0  | 351  | 0.2309          | 0.3      | 0.8965        |
| No log        | 40.0  | 360  | 0.2309          | 0.3      | 0.8965        |


### Framework versions

- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1