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update model card README.md

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@@ -4,9 +4,22 @@ tags:
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  - generated_from_trainer
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  datasets:
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  - turkic_xwmt
 
 
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  model-index:
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  - name: opus-mt-tr-en-finetuned-az-to-en
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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
@@ -15,6 +28,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # opus-mt-tr-en-finetuned-az-to-en
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  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tr-en](https://huggingface.co/Helsinki-NLP/opus-mt-tr-en) on the turkic_xwmt dataset.
 
 
 
 
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  ## Model description
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@@ -39,14 +56,23 @@ The following hyperparameters were used during training:
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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: 1
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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 | 4 | 103.6861 | 0.0 | 511.0 |
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  - generated_from_trainer
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  datasets:
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  - turkic_xwmt
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+ metrics:
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+ - bleu
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  model-index:
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  - name: opus-mt-tr-en-finetuned-az-to-en
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+ results:
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+ - task:
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+ name: Sequence-to-sequence Language Modeling
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+ type: text2text-generation
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+ dataset:
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+ name: turkic_xwmt
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+ type: turkic_xwmt
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+ args: az-en
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+ metrics:
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+ - name: Bleu
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+ type: bleu
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+ value: 0.0002
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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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  # opus-mt-tr-en-finetuned-az-to-en
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  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tr-en](https://huggingface.co/Helsinki-NLP/opus-mt-tr-en) on the turkic_xwmt dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: nan
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+ - Bleu: 0.0002
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+ - Gen Len: 511.0
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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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  - 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 | 38 | nan | 0.0002 | 511.0 |
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+ | No log | 2.0 | 76 | nan | 0.0002 | 511.0 |
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+ | No log | 3.0 | 114 | nan | 0.0002 | 511.0 |
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+ | No log | 4.0 | 152 | nan | 0.0002 | 511.0 |
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+ | No log | 5.0 | 190 | nan | 0.0002 | 511.0 |
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+ | No log | 6.0 | 228 | nan | 0.0002 | 511.0 |
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+ | No log | 7.0 | 266 | nan | 0.0002 | 511.0 |
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+ | No log | 8.0 | 304 | nan | 0.0002 | 511.0 |
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+ | No log | 9.0 | 342 | nan | 0.0002 | 511.0 |
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+ | No log | 10.0 | 380 | nan | 0.0002 | 511.0 |
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  ### Framework versions