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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- wmt16 |
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- autoevaluate/wmt16-sample |
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metrics: |
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- bleu |
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duplicated_from: autoevaluate/translation |
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model-index: |
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- name: autoevaluate/translation-not-evaluated |
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results: |
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- task: |
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type: translation |
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name: Translation |
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dataset: |
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name: autoevaluate/wmt16-ro-en-sample |
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type: autoevaluate/wmt16-ro-en-sample |
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config: autoevaluate--wmt16-ro-en-sample |
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split: test |
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metrics: |
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- type: bleu |
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value: 2.7663 |
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name: BLEU |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjliZDkxYzhhNDNkYTZkN2Q1MjA5ZmNjYWE2ZjViZDc3ODhmYTZhZDY4N2ViNWZmZTMzZjUwZTQ3YWIwOWNkMSIsInZlcnNpb24iOjF9.D9Y87BbOzY4GpXSTN0OuSiE92DlZR7Go_aJXoPJPgZ5erlPBtRM4dM64VpOET2fOoOWBP2mqyXryovjIQca8Bg |
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- type: loss |
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value: 4.943170070648193 |
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name: loss |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMWFkNGIxMjJiMTUyMjM5NWFkYjMyODM4N2IwNTZhMjBiMTQ3YmU0ZWY5YjY5ZWU5NmRhOTYyZTIxZjE2ODBjNiIsInZlcnNpb24iOjF9.mQGJnrn2U5tJ5B2LcoCTZQFdJtbsTvu3q0U-Vlcx1unwhKF2q9aNtusz3xJanANreHs19uNcXvto3gRYKUswDw |
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- type: gen_len |
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value: 40.35 |
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name: gen_len |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMGJjODc5YTI2NzYxZTE2YzFlZTAzMTYzMTI5OWE4ZjU2MzdhNTZiOTUzOGRlZmMwNzI4ZjVhZTcwNGE0ODQyZCIsInZlcnNpb24iOjF9.gDcAyE1NYrHlz1zw4zNMGkL0vobpNhZpx2DYvMIJQmkydcv5mdKMzujuDy4xFmHtP4bQTkvH96m7tLxCv3SgCw |
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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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# translation |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ro](https://huggingface.co/Helsinki-NLP/opus-mt-en-ro) on the wmt16 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3170 |
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- Bleu: 28.5866 |
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- Gen Len: 33.9575 |
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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: 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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- training_steps: 1000 |
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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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| 0.8302 | 0.03 | 1000 | 1.3170 | 28.5866 | 33.9575 | |
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### Framework versions |
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- Transformers 4.19.2 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.2.2 |
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- Tokenizers 0.12.1 |
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