|
--- |
|
license: cc-by-nc-4.0 |
|
base_model: facebook/nllb-200-distilled-600M |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- nusatranslation_mt |
|
metrics: |
|
- sacrebleu |
|
model-index: |
|
- name: bbc-to-ind-nmt-v3 |
|
results: |
|
- task: |
|
name: Sequence-to-sequence Language Modeling |
|
type: text2text-generation |
|
dataset: |
|
name: nusatranslation_mt |
|
type: nusatranslation_mt |
|
config: nusatranslation_mt_btk_ind_source |
|
split: test |
|
args: nusatranslation_mt_btk_ind_source |
|
metrics: |
|
- name: Sacrebleu |
|
type: sacrebleu |
|
value: 37.0979 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# bbc-to-ind-nmt-v3 |
|
|
|
This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on the nusatranslation_mt dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.1424 |
|
- Sacrebleu: 37.0979 |
|
- Gen Len: 37.248 |
|
|
|
## 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: 5e-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 |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 5 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Sacrebleu | Gen Len | |
|
|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:| |
|
| 4.2762 | 1.0 | 413 | 1.5344 | 30.2931 | 37.92 | |
|
| 1.3119 | 2.0 | 826 | 1.1962 | 35.3764 | 37.3035 | |
|
| 1.0696 | 3.0 | 1239 | 1.1529 | 36.5225 | 37.204 | |
|
| 0.9763 | 4.0 | 1652 | 1.1420 | 36.8954 | 37.0565 | |
|
| 0.9298 | 5.0 | 2065 | 1.1424 | 37.0979 | 37.248 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.2 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.19.1 |
|
|
