|
--- |
|
license: apache-2.0 |
|
base_model: Helsinki-NLP/opus-mt-zh-vi |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: names-opus |
|
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. --> |
|
|
|
# names-opus |
|
|
|
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-zh-vi](https://huggingface.co/Helsinki-NLP/opus-mt-zh-vi) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4301 |
|
|
|
## 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: 0.0002 |
|
- train_batch_size: 512 |
|
- eval_batch_size: 512 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 10 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:-----:|:---------------:| |
|
| 0.6077 | 1.0 | 2039 | 0.5472 | |
|
| 0.5074 | 2.0 | 4078 | 0.4870 | |
|
| 0.4599 | 3.0 | 6117 | 0.4597 | |
|
| 0.4249 | 4.0 | 8156 | 0.4453 | |
|
| 0.3974 | 5.0 | 10195 | 0.4370 | |
|
| 0.3704 | 6.0 | 12234 | 0.4328 | |
|
| 0.3477 | 7.0 | 14273 | 0.4287 | |
|
| 0.325 | 8.0 | 16312 | 0.4278 | |
|
| 0.3096 | 9.0 | 18351 | 0.4296 | |
|
| 0.2934 | 10.0 | 20390 | 0.4301 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.36.2 |
|
- Pytorch 2.0.0 |
|
- Datasets 2.1.0 |
|
- Tokenizers 0.15.0 |
|
|
