File size: 1,695 Bytes
dae05c5 |
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 |
---
license: apache-2.0
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: finetuned_HelsinkiNLP-opus-mt-vi-en_PhoMT
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. -->
# finetuned_HelsinkiNLP-opus-mt-vi-en_PhoMT
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-vi-en](https://huggingface.co/Helsinki-NLP/opus-mt-vi-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1783
- Bleu: 37.7741
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|:-------------:|:-----:|:------:|:---------------:|:-------:|
| 1.3717 | 1.0 | 186125 | 1.2371 | 35.8549 |
| 1.2926 | 2.0 | 372250 | 1.2113 | 36.7328 |
| 1.2505 | 3.0 | 558375 | 1.1954 | 37.0998 |
| 1.2025 | 4.0 | 744500 | 1.1847 | 37.5538 |
| 1.1853 | 5.0 | 930625 | 1.1783 | 37.7761 |
### Framework versions
- Transformers 4.22.1
- Pytorch 1.10.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
|