---
library_name: transformers
license: mit
base_model: ai4bharat/IndicBERTv2-MLM-only
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: Paraphrase_IndicBERTv2-MLMonly_onfull_FT2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Paraphrase_IndicBERTv2-MLMonly_onfull_FT2

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: 0.4658
- Accuracy: 0.86
- F1: 0.8597

## 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: 2.138609221548472e-05
- train_batch_size: 32
- eval_batch_size: 64
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.3855        | 1.0   | 157  | 0.3977          | 0.814    | 0.8118 |
| 0.2228        | 2.0   | 314  | 0.3560          | 0.857    | 0.8566 |
| 0.1749        | 3.0   | 471  | 0.3993          | 0.8555   | 0.8548 |
| 0.0935        | 4.0   | 628  | 0.4567          | 0.8575   | 0.8563 |
| 0.0649        | 5.0   | 785  | 0.4658          | 0.86     | 0.8597 |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0