metadata
library_name: transformers
license: openrail
base_model: VietAI/envit5-translation
tags:
- generated_from_trainer
model-index:
- name: envit5-translation-finetuned
results: []
datasets:
- talmp/en-vi-translation
pipeline_tag: translation
envit5-translation-finetuned
This model is a fine-tuned version of VietAI/envit5-translation on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1445
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: 4
- eval_batch_size: 4
- 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1691 | 1.0 | 2000 | 0.1406 |
| 0.1175 | 2.0 | 4000 | 0.1400 |
| 0.0917 | 3.0 | 6000 | 0.1445 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0