metadata
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: []
208k-MarianMT-Nepali-to-English
This model is a fine-tuned version of 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