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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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metrics: |
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- bleu |
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model-index: |
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- name: nllb-200-distilled-600M-finetuned_augmented_MTbak_cleaned_ar-to-en |
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results: [] |
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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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# nllb-200-distilled-600M-finetuned_augmented_MTbak_cleaned_ar-to-en |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9003 |
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- Bleu: 54.3021 |
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- Gen Len: 39.3817 |
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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: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:| |
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| 1.1718 | 1.0 | 2071 | 1.0140 | 46.727 | 39.6324 | |
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| 1.0097 | 2.0 | 4142 | 0.9450 | 50.6721 | 39.8258 | |
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| 0.8944 | 3.0 | 6213 | 0.9171 | 51.0894 | 39.9446 | |
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| 0.8192 | 4.0 | 8284 | 0.9010 | 52.8059 | 39.3494 | |
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| 0.7689 | 5.0 | 10355 | 0.8980 | 53.1204 | 39.5579 | |
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| 0.7511 | 6.0 | 12426 | 0.8946 | 53.5769 | 39.4814 | |
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| 0.685 | 7.0 | 14497 | 0.8968 | 53.8032 | 39.6365 | |
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| 0.6849 | 8.0 | 16568 | 0.8987 | 54.3402 | 39.5227 | |
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| 0.6548 | 9.0 | 18639 | 0.8992 | 54.4944 | 39.5619 | |
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| 0.6429 | 10.0 | 20710 | 0.9003 | 54.3021 | 39.3817 | |
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### Framework versions |
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- Transformers 4.33.0 |
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- Pytorch 1.13.1 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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