File size: 1,785 Bytes
2faf728 |
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 |
---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: VN_ja_to_en
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. -->
# VN_ja_to_en
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ja-en](https://huggingface.co/Helsinki-NLP/opus-mt-ja-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0411
## 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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 2.0489 | 1.0 | 10276 | 2.0716 |
| 1.9028 | 2.0 | 20552 | 2.0646 |
| 1.812 | 3.0 | 30828 | 2.0525 |
| 1.7531 | 4.0 | 41104 | 2.0487 |
| 1.7083 | 5.0 | 51380 | 2.0375 |
| 1.6717 | 6.0 | 61656 | 2.0415 |
| 1.6354 | 7.0 | 71932 | 2.0398 |
| 1.6146 | 8.0 | 82208 | 2.0390 |
| 1.5972 | 9.0 | 92484 | 2.0391 |
| 1.582 | 10.0 | 102760 | 2.0411 |
### Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
|