---
library_name: transformers
base_model: ai4bharat/IndicBART
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: IndicBART-mr-test
  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. -->

# IndicBART-mr-test

This model is a fine-tuned version of [ai4bharat/IndicBART](https://huggingface.co/ai4bharat/IndicBART) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7345
- Rouge1: 47.0576
- Rouge2: 4.7014
- Rougel: 47.0474
- Rougelsum: 47.0396

## 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: 5.6e-05
- train_batch_size: 12
- eval_batch_size: 12
- 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 3.6435        | 1.0   | 909  | 2.8758          | 45.165  | 1.1394 | 45.168  | 45.1586   |
| 3.1753        | 2.0   | 1818 | 2.7719          | 46.5321 | 3.3062 | 46.5286 | 46.5338   |
| 3.0756        | 3.0   | 2727 | 2.7413          | 46.7024 | 4.0972 | 46.696  | 46.6929   |
| 3.0307        | 4.0   | 3636 | 2.7345          | 47.0576 | 4.7014 | 47.0474 | 47.0396   |


### Framework versions

- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1