---
library_name: transformers
license: mit
base_model: ai4bharat/indictrans2-indic-indic-dist-320M
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: indictrans2-indic-indic-dist-320M-finetuned-eng_Ltn-to-mar_Deva
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# indictrans2-indic-indic-dist-320M-finetuned-eng_Ltn-to-mar_Deva

This model is a fine-tuned version of [ai4bharat/indictrans2-indic-indic-dist-320M](https://huggingface.co/ai4bharat/indictrans2-indic-indic-dist-320M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4547
- Bleu: 10.3309
- Gen Len: 20.9925

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use 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: 1

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:------:|:-----:|:---------------:|:-------:|:-------:|
| 0.5955        | 0.1703 | 2000  | 0.5251          | 9.1406  | 20.9926 |
| 0.5318        | 0.3407 | 4000  | 0.4925          | 9.7358  | 20.9923 |
| 0.5113        | 0.5110 | 6000  | 0.4738          | 10.0388 | 20.9925 |
| 0.5145        | 0.6814 | 8000  | 0.4618          | 10.2453 | 20.9925 |
| 0.5084        | 0.8517 | 10000 | 0.4547          | 10.3309 | 20.9925 |


### Framework versions

- Transformers 4.53.2
- Pytorch 2.9.0+cu128
- Datasets 2.21.0
- Tokenizers 0.21.4