drewcurran commited on
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End of training

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README.md CHANGED
@@ -5,14 +5,14 @@ tags:
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  metrics:
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  - bleu
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  model-index:
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- - name: spanglish
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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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- # spanglish
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  This model is a fine-tuned version of [drewcurran/translation_model](https://huggingface.co/drewcurran/translation_model) on an unknown dataset.
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  It achieves the following results on the evaluation set:
@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
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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 | 10 | 1.8794 | 1.372 | 18.4 |
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- | No log | 2.0 | 20 | 1.7643 | 1.8888 | 18.125 |
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- | No log | 3.0 | 30 | 1.6884 | 2.1152 | 18.125 |
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- | No log | 4.0 | 40 | 1.6408 | 2.0966 | 17.925 |
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- | No log | 5.0 | 50 | 1.6089 | 2.286 | 17.925 |
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- | No log | 6.0 | 60 | 1.5881 | 2.3929 | 17.95 |
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- | No log | 7.0 | 70 | 1.5756 | 2.4497 | 17.95 |
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- | No log | 8.0 | 80 | 1.5669 | 4.2201 | 18.025 |
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- | No log | 9.0 | 90 | 1.5613 | 5.861 | 17.8 |
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- | No log | 10.0 | 100 | 1.5595 | 5.861 | 17.8 |
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  ### Framework versions
 
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  metrics:
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  - bleu
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  model-index:
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+ - name: model-spanglish
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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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+ # model-spanglish
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  This model is a fine-tuned version of [drewcurran/translation_model](https://huggingface.co/drewcurran/translation_model) on an unknown dataset.
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  It achieves the following results on the evaluation set:
 
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
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+ | 2.3242 | 1.0 | 10 | 1.8794 | 1.372 | 18.4 |
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+ | 2.2034 | 2.0 | 20 | 1.7643 | 1.8888 | 18.125 |
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+ | 2.0818 | 3.0 | 30 | 1.6884 | 2.1152 | 18.125 |
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+ | 2.0447 | 4.0 | 40 | 1.6408 | 2.0966 | 17.925 |
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+ | 1.9457 | 5.0 | 50 | 1.6089 | 2.286 | 17.925 |
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+ | 1.9454 | 6.0 | 60 | 1.5881 | 2.3929 | 17.95 |
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+ | 1.8906 | 7.0 | 70 | 1.5756 | 2.4497 | 17.95 |
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+ | 1.8829 | 8.0 | 80 | 1.5669 | 4.2201 | 18.025 |
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+ | 1.8483 | 9.0 | 90 | 1.5613 | 5.861 | 17.8 |
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+ | 1.8454 | 10.0 | 100 | 1.5595 | 5.861 | 17.8 |
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  ### Framework versions
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