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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: LMPT_project |
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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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# LMPT_project |
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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: 1.7558 |
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- Bleu: 12.2835 |
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- Gen Len: 44.0 |
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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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- mixed_precision_training: Native AMP |
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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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| No log | 1.0 | 13 | 1.9988 | 0.6722 | 37.35 | |
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| No log | 2.0 | 26 | 1.8930 | 0.7123 | 37.55 | |
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| No log | 3.0 | 39 | 1.8316 | 12.8352 | 36.55 | |
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| No log | 4.0 | 52 | 1.7920 | 17.2952 | 36.3 | |
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| No log | 5.0 | 65 | 1.7743 | 16.9058 | 36.8 | |
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| No log | 6.0 | 78 | 1.7652 | 17.4576 | 36.15 | |
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| No log | 7.0 | 91 | 1.7601 | 11.2528 | 44.4 | |
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| No log | 8.0 | 104 | 1.7578 | 12.2835 | 44.0 | |
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| No log | 9.0 | 117 | 1.7556 | 12.2835 | 44.0 | |
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| No log | 10.0 | 130 | 1.7558 | 12.2835 | 44.0 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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