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

# results

This model is a fine-tuned version of [ai4bharat/IndicBERTv2-MLM-only](https://huggingface.co/ai4bharat/IndicBERTv2-MLM-only) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7229

## 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: 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.6857        | 1.0   | 12   | 1.3238          |
| 2.4386        | 2.0   | 24   | 3.6036          |
| 2.8204        | 3.0   | 36   | 4.2081          |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Tokenizers 0.21.0