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opus-mt-finetuned-en-to-fr

Text2Text Generation
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PyTorch
marian
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Eval Results
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End of training

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  1. README.md +15 -13
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Bleu
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  type: bleu
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- value: 66.5055
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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
@@ -32,9 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [DevAibest/opus-mt-finetuned-en-to-fr](https://huggingface.co/DevAibest/opus-mt-finetuned-en-to-fr) on the opus_books dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3047
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- - Bleu: 66.5055
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- - Gen Len: 33.2652
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  ## Model description
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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: 8
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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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- | 0.5109 | 1.0 | 6355 | 0.2620 | 71.2246 | 33.2335 |
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- | 0.4675 | 2.0 | 12710 | 0.2782 | 69.4236 | 33.2497 |
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- | 0.4352 | 3.0 | 19065 | 0.2898 | 68.2739 | 33.2898 |
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- | 0.405 | 4.0 | 25420 | 0.2984 | 67.0378 | 33.3903 |
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- | 0.3804 | 5.0 | 31775 | 0.3037 | 66.6051 | 33.2017 |
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- | 0.3597 | 6.0 | 38130 | 0.3054 | 66.5465 | 33.1819 |
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- | 0.3378 | 7.0 | 44485 | 0.3045 | 66.6307 | 33.274 |
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- | 0.3269 | 8.0 | 50840 | 0.3047 | 66.5055 | 33.2652 |
 
 
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  ### Framework versions
 
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  metrics:
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  - name: Bleu
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  type: bleu
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+ value: 69.4791
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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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  This model is a fine-tuned version of [DevAibest/opus-mt-finetuned-en-to-fr](https://huggingface.co/DevAibest/opus-mt-finetuned-en-to-fr) on the opus_books dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2610
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+ - Bleu: 69.4791
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+ - Gen Len: 32.7639
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  ## Model description
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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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+ | 0.4587 | 1.0 | 6355 | 0.2063 | 76.6735 | 32.6691 |
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+ | 0.426 | 2.0 | 12710 | 0.2238 | 74.291 | 32.7606 |
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+ | 0.3935 | 3.0 | 19065 | 0.2385 | 72.4894 | 32.8613 |
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+ | 0.3723 | 4.0 | 25420 | 0.2480 | 71.2701 | 32.635 |
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+ | 0.3492 | 5.0 | 31775 | 0.2532 | 70.6417 | 32.7086 |
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+ | 0.3315 | 6.0 | 38130 | 0.2588 | 69.8185 | 32.7439 |
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+ | 0.3057 | 7.0 | 44485 | 0.2598 | 69.7941 | 32.7479 |
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+ | 0.2906 | 8.0 | 50840 | 0.2621 | 69.5144 | 32.7624 |
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+ | 0.283 | 9.0 | 57195 | 0.2619 | 69.27 | 32.7373 |
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+ | 0.2675 | 10.0 | 63550 | 0.2610 | 69.4791 | 32.7639 |
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  ### Framework versions
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