metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: EN-VI-Machine-Translation-Transformer
results: []
EN-VI-Machine-Translation-Transformer
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5433
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: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0705 | 1.0 | 521 | 0.5980 |
| 0.6527 | 2.0 | 1042 | 0.5660 |
| 0.6288 | 3.0 | 1563 | 0.5530 |
| 0.6174 | 4.0 | 2084 | 0.5460 |
| 0.6117 | 5.0 | 2605 | 0.5433 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0