---
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-mr
tags:
- generated_from_trainer
model-index:
- name: english-marathi-colloquial-translator1
  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. -->

# english-marathi-colloquial-translator1

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-mr](https://huggingface.co/Helsinki-NLP/opus-mt-en-mr) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5252

## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 15.4233       | 0.3636 | 2    | 7.9121          |
| 13.0588       | 0.7273 | 4    | 7.9121          |
| 8.4646        | 1.0    | 6    | 7.9121          |
| 4.474         | 1.3636 | 8    | 3.3942          |
| 1.7662        | 1.7273 | 10   | 0.6550          |
| 0.7863        | 2.0    | 12   | 0.5941          |
| 1.1458        | 2.3636 | 14   | 0.5240          |
| 0.8619        | 2.7273 | 16   | 0.4977          |
| 0.7108        | 3.0    | 18   | 0.4929          |
| 0.8382        | 3.3636 | 20   | 0.4984          |
| 0.5416        | 3.7273 | 22   | 0.4854          |
| 0.2726        | 4.0    | 24   | 0.4787          |
| 0.4561        | 4.3636 | 26   | 0.4806          |
| 0.5203        | 4.7273 | 28   | 0.4890          |
| 0.233         | 5.0    | 30   | 0.4989          |
| 0.4509        | 5.3636 | 32   | 0.4978          |
| 0.3384        | 5.7273 | 34   | 0.4999          |
| 0.1781        | 6.0    | 36   | 0.5054          |
| 0.3225        | 6.3636 | 38   | 0.5101          |
| 0.2737        | 6.7273 | 40   | 0.5159          |
| 0.0695        | 7.0    | 42   | 0.5239          |
| 0.2417        | 7.3636 | 44   | 0.5263          |
| 0.3237        | 7.7273 | 46   | 0.5253          |
| 0.1458        | 8.0    | 48   | 0.5249          |
| 0.2153        | 8.3636 | 50   | 0.5252          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.6.0+cu124
- Datasets 3.3.1
- Tokenizers 0.21.0