transformers safetensors marian text2text-generation generated_from_trainer autotrain_compatible endpoints_compatible region:us
---
library_name: transformers
metrics:
- bleu
tags:
- generated_from_trainer
model-index:
- name: Nepali-English Translation
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Final-Nepali-to-English

This model is a fine-tuned version of [Nepali-to-English) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0186
- Bleu: 30.3843
- Gen Len: 73.8617

## 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: 5e-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   | Bleu    | Gen Len | Validation Loss |
|:-------------:|:------:|:------:|:-------:|:-------:|:---------------:|
| 1.1924        | 0.0561 | 12000  | 26.1232 | 74.765  | 1.3707          |
| 1.0978        | 0.1122 | 24000  | 26.0469 | 78.0433 | 1.2622          |
| 1.0316        | 0.1684 | 36000  | 28.0954 | 73.6692 | 1.2075          |
| 0.9993        | 0.2245 | 48000  | 28.1497 | 75.1633 | 1.1745          |
| 0.9651        | 0.2806 | 60000  | 29.1482 | 75.9908 | 1.1428          |
| 0.9415        | 0.3367 | 72000  | 27.0537 | 82.6383 | 1.1183          |
| 0.9251        | 0.3928 | 84000  | 27.637  | 79.2592 | 1.0864          |
| 0.9008        | 0.4489 | 96000  | 29.0405 | 76.6583 | 1.0683          |
| 0.8726        | 0.5051 | 108000 | 29.923  | 75.4483 | 1.0494          |
| 0.8701        | 0.5612 | 120000 | 29.2328 | 77.2858 | 1.0316          |
| 0.8546        | 0.6173 | 132000 | 29.6585 | 76.1308 | 1.0185          |
| 0.8392        | 0.6734 | 144000 | 30.5079 | 78.0417 | 1.0072          |

### Framework versions

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