File size: 1,804 Bytes
5e5ac52 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 |
---
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
|