---
library_name: transformers
base_model: iamTangsang/MarianMT-Nepali-to-English-Synthetic-Pretrain-Continued
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: 208k-MarianMT-Nepali-to-English
  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. -->

# 208k-MarianMT-Nepali-to-English

This model is a fine-tuned version of [iamTangsang/MarianMT-Nepali-to-English-Synthetic-Pretrain-Continued](https://huggingface.co/iamTangsang/MarianMT-Nepali-to-English-Synthetic-Pretrain-Continued) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7458
- Bleu: 23.0471
- Gen Len: 26.8454

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:------:|:-----:|:---------------:|:-------:|:-------:|
| 2.108         | 0.2500 | 3230  | 1.9853          | 15.2869 | 30.3236 |
| 1.9731        | 0.4999 | 6460  | 1.8364          | 21.4787 | 27.7903 |
| 1.8547        | 0.7499 | 9690  | 1.7712          | 27.1901 | 25.855  |
| 1.8446        | 0.9998 | 12920 | 1.7458          | 23.0471 | 26.8454 |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3