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--- |
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license: mit |
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base_model: VietAI/envit5-base |
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tags: |
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- translation |
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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: envit5-base-iwslt15 |
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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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# envit5-base-iwslt15 |
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This model is a fine-tuned version of [VietAI/envit5-base](https://huggingface.co/VietAI/envit5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2687 |
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- Bleu: 21.8184 |
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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: 3e-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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- lr_scheduler_warmup_steps: 100 |
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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 | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:| |
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| 2.0209 | 1.0 | 1250 | 1.7844 | 20.7717 | |
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| 1.5711 | 2.0 | 2500 | 1.7072 | 22.0149 | |
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| 1.2667 | 3.0 | 3750 | 1.7304 | 22.3730 | |
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| 1.0436 | 4.0 | 5000 | 1.7903 | 22.0901 | |
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| 0.8655 | 5.0 | 6250 | 1.8831 | 22.0823 | |
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| 0.7478 | 6.0 | 7500 | 1.9738 | 22.0309 | |
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| 0.6292 | 7.0 | 8750 | 2.0935 | 21.9696 | |
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| 0.5586 | 8.0 | 10000 | 2.1611 | 22.1045 | |
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| 0.5046 | 9.0 | 11250 | 2.2271 | 21.7866 | |
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| 0.4626 | 10.0 | 12500 | 2.2687 | 21.8184 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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