---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-hi
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: Transformer_MT
  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. -->

# Transformer_MT

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-hi](https://huggingface.co/Helsinki-NLP/opus-mt-en-hi) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2471
- Bleu: 0.4736

## 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 2000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 2.53  | 200  | 2.4508          | 0.1996 |
| No log        | 5.06  | 400  | 2.3803          | 0.3002 |
| 2.49          | 7.59  | 600  | 2.3398          | 0.4351 |
| 2.49          | 10.13 | 800  | 2.3148          | 0.3753 |
| 2.3247        | 12.66 | 1000 | 2.2919          | 0.4252 |
| 2.3247        | 15.19 | 1200 | 2.2747          | 0.4268 |
| 2.3247        | 17.72 | 1400 | 2.2633          | 0.4506 |
| 2.2349        | 20.25 | 1600 | 2.2563          | 0.4861 |
| 2.2349        | 22.78 | 1800 | 2.2486          | 0.4783 |
| 2.1924        | 25.32 | 2000 | 2.2471          | 0.4736 |


### Framework versions

- Transformers 4.39.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0