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update model card README.md

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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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  model-index:
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- - name: TestHelsinkimulEnJpTh0
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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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- # TestHelsinkimulEnJpTh0
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- This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-mul](https://huggingface.co/Helsinki-NLP/opus-mt-en-mul) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6882
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  ## Model description
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- This model use Marian Helsinki Model to translate English to Japanese or Thai, it is to test that the model can test 2 languages simentously.
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- To use this translation use ">>jpn<<{english sentence}" or ">>tha<<{english sentence}" the model is very poor because of using very few sample.
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  ## Intended uses & limitations
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- I hope you will not too trust this model to works, for now.
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  ## Training and evaluation data
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- Generated data from Chat GPT by some medical concepts
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  ## Training procedure
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@@ -40,17 +38,15 @@ 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: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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- | 1.4665 | 1.0 | 4846 | 0.8669 |
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- | 0.1461 | 2.0 | 9692 | 0.7631 |
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- | 0.419 | 3.0 | 14538 | 0.7144 |
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- | 0.1456 | 4.0 | 19384 | 0.6867 |
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- | 0.2308 | 5.0 | 24230 | 0.6882 |
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  ### Framework versions
 
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  ---
 
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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: Helsinki_en-mul_test
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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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+ # Helsinki_en-mul_test
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+ This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4573
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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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  - 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 |
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  |:-------------:|:-----:|:-----:|:---------------:|
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+ | 1.4474 | 1.0 | 22199 | 1.6242 |
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+ | 1.8308 | 2.0 | 44398 | 1.4888 |
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+ | 1.3957 | 3.0 | 66597 | 1.4573 |
 
 
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  ### Framework versions