---
library_name: transformers
license: mit
base_model: ai4bharat/indictrans2-indic-indic-dist-320M
tags:
- generated_from_trainer
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:
- eval_loss: nan
- eval_bleu: 0.0
- eval_gen_len: 21.0
- eval_runtime: 744.5384
- eval_samples_per_second: 31.536
- eval_steps_per_second: 1.972
- epoch: 0.1703
- step: 2000

## 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

### Framework versions

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