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update model card README.md

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  1. README.md +7 -14
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@@ -19,7 +19,7 @@ model-index:
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  metrics:
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  - name: Bleu
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  type: bleu
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- value: 32.5319
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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
@@ -29,8 +29,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en) on the news_commentary dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 10.6041
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- - Bleu: 32.5319
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  - Gen Len: 56.234
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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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- | No log | 1.0 | 32 | 10.6106 | 32.5327 | 56.234 |
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- | No log | 2.0 | 64 | 10.6090 | 32.5319 | 56.234 |
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- | No log | 3.0 | 96 | 10.6076 | 32.5319 | 56.234 |
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- | No log | 4.0 | 128 | 10.6064 | 32.5319 | 56.234 |
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- | No log | 5.0 | 160 | 10.6053 | 32.5319 | 56.234 |
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- | No log | 6.0 | 192 | 10.6048 | 32.5319 | 56.234 |
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- | No log | 7.0 | 224 | 10.6044 | 32.5319 | 56.234 |
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- | No log | 8.0 | 256 | 10.6042 | 32.5319 | 56.234 |
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- | No log | 9.0 | 288 | 10.6041 | 32.5319 | 56.234 |
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- | No log | 10.0 | 320 | 10.6041 | 32.5319 | 56.234 |
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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: 32.5327
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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 [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en) on the news_commentary dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 10.6102
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+ - Bleu: 32.5327
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  - Gen Len: 56.234
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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: 3
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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 | 32 | 10.6112 | 32.5327 | 56.234 |
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+ | No log | 2.0 | 64 | 10.6103 | 32.5327 | 56.234 |
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+ | No log | 3.0 | 96 | 10.6102 | 32.5327 | 56.234 |
 
 
 
 
 
 
 
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  ### Framework versions