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--- |
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license: cc-by-nc-4.0 |
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base_model: facebook/nllb-200-distilled-600M |
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tags: |
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- generated_from_trainer |
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datasets: |
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- nusatranslation_mt |
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metrics: |
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- sacrebleu |
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model-index: |
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- name: bbc-to-ind-nmt-v7 |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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dataset: |
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name: nusatranslation_mt |
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type: nusatranslation_mt |
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config: nusatranslation_mt_btk_ind_source |
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split: test |
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args: nusatranslation_mt_btk_ind_source |
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metrics: |
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- name: Sacrebleu |
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type: sacrebleu |
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value: 38.1839 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# bbc-to-ind-nmt-v7 |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1540 |
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- Sacrebleu: 38.1839 |
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- Gen Len: 37.279 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Sacrebleu | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:| |
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| 5.0915 | 1.0 | 413 | 2.2849 | 27.9598 | 38.462 | |
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| 1.483 | 2.0 | 826 | 1.2052 | 35.2398 | 37.6305 | |
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| 1.0733 | 3.0 | 1239 | 1.1450 | 36.4283 | 37.133 | |
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| 0.9415 | 4.0 | 1652 | 1.1232 | 37.7264 | 37.198 | |
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| 0.8558 | 5.0 | 2065 | 1.1231 | 37.9682 | 37.399 | |
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| 0.7867 | 6.0 | 2478 | 1.1286 | 38.272 | 37.4305 | |
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| 0.736 | 7.0 | 2891 | 1.1343 | 38.0986 | 37.31 | |
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| 0.696 | 8.0 | 3304 | 1.1416 | 38.2159 | 37.219 | |
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| 0.6674 | 9.0 | 3717 | 1.1494 | 38.2257 | 37.307 | |
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| 0.6488 | 10.0 | 4130 | 1.1540 | 38.1839 | 37.279 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.19.1 |
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