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xlm-tn-20epochs

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xlm-roberta
generated_from_keras_callback
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Training in progress epoch 14

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  1. README.md +6 -5
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,11 +15,11 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Davlan/xlm-roberta-base-finetuned-arabic](https://huggingface.co/Davlan/xlm-roberta-base-finetuned-arabic) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 6.7267
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- - Train Accuracy: 0.0293
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- - Validation Loss: 6.6804
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- - Validation Accuracy: 0.0291
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- - Epoch: 13
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  ## Model description
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@@ -59,6 +59,7 @@ The following hyperparameters were used during training:
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  | 6.7978 | 0.0292 | 6.7450 | 0.0286 | 11 |
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  | 6.7555 | 0.0291 | 6.7420 | 0.0281 | 12 |
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  | 6.7267 | 0.0293 | 6.6804 | 0.0291 | 13 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [Davlan/xlm-roberta-base-finetuned-arabic](https://huggingface.co/Davlan/xlm-roberta-base-finetuned-arabic) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 6.7068
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+ - Train Accuracy: 0.0290
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+ - Validation Loss: 6.6661
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+ - Validation Accuracy: 0.0290
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+ - Epoch: 14
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  ## Model description
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  | 6.7978 | 0.0292 | 6.7450 | 0.0286 | 11 |
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  | 6.7555 | 0.0291 | 6.7420 | 0.0281 | 12 |
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  | 6.7267 | 0.0293 | 6.6804 | 0.0291 | 13 |
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+ | 6.7068 | 0.0290 | 6.6661 | 0.0290 | 14 |
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  ### Framework versions
tf_model.h5 CHANGED
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