---
library_name: transformers
base_model: ai4bharat/IndicBARTSS
tags:
- generated_from_trainer
model-index:
- name: IndicBARTSS_Kannada_FineTune
  results: []
---

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# IndicBARTSS_Kannada_FineTune

This model is a fine-tuned version of [ai4bharat/IndicBARTSS](https://huggingface.co/ai4bharat/IndicBARTSS) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1158

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1202        | 1.0   | 2674 | 0.1208          |
| 0.1196        | 2.0   | 5348 | 0.1175          |
| 0.1147        | 3.0   | 8022 | 0.1158          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1