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--- |
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library_name: transformers |
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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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- rouge |
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- bleu |
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model-index: |
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- name: meta-nllb-600m-mt-en-twi-v4 |
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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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# meta-nllb-600m-mt-en-twi-v4 |
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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: 0.5793 |
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- Rouge1: 0.6092 |
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- Bleu: 22.4778 |
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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: 1e-05 |
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- train_batch_size: 8 |
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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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- num_epochs: 20 |
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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 | Rouge1 | Bleu | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| |
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| No log | 1.0 | 480 | 4.1464 | 0.5420 | 15.3433 | |
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| 5.9598 | 2.0 | 960 | 1.8878 | 0.5603 | 16.8733 | |
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| 2.993 | 3.0 | 1440 | 0.7451 | 0.5753 | 18.6067 | |
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| 1.3619 | 4.0 | 1920 | 0.6291 | 0.5880 | 19.9709 | |
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| 0.888 | 5.0 | 2400 | 0.6059 | 0.5953 | 20.4567 | |
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| 0.7774 | 6.0 | 2880 | 0.5961 | 0.6000 | 21.1082 | |
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| 0.7358 | 7.0 | 3360 | 0.5907 | 0.6049 | 21.4798 | |
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| 0.6934 | 8.0 | 3840 | 0.5866 | 0.6068 | 21.6956 | |
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| 0.666 | 9.0 | 4320 | 0.5816 | 0.6058 | 21.8561 | |
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| 0.6533 | 10.0 | 4800 | 0.5799 | 0.6063 | 21.8737 | |
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| 0.6266 | 11.0 | 5280 | 0.5791 | 0.6078 | 22.1400 | |
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| 0.6063 | 12.0 | 5760 | 0.5792 | 0.6106 | 22.3387 | |
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| 0.6058 | 13.0 | 6240 | 0.5790 | 0.6072 | 22.2070 | |
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| 0.5786 | 14.0 | 6720 | 0.5777 | 0.6084 | 22.2723 | |
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| 0.5754 | 15.0 | 7200 | 0.5800 | 0.6079 | 22.2117 | |
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| 0.5707 | 16.0 | 7680 | 0.5784 | 0.6084 | 22.2791 | |
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| 0.557 | 17.0 | 8160 | 0.5790 | 0.6081 | 22.4436 | |
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| 0.5531 | 18.0 | 8640 | 0.5796 | 0.6097 | 22.5290 | |
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| 0.5464 | 19.0 | 9120 | 0.5797 | 0.6085 | 22.3927 | |
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| 0.5499 | 20.0 | 9600 | 0.5793 | 0.6092 | 22.4778 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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