ayshi commited on
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Training in progress epoch 0

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Files changed (3) hide show
  1. README.md +5 -14
  2. tf_model.h5 +2 -2
  3. tokenizer.json +1 -6
README.md CHANGED
@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.2530
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- - Validation Loss: 0.7762
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- - Train Accuracy: 0.8
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- - Epoch: 9
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  ## Model description
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@@ -44,16 +44,7 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:--------------:|:-----:|
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- | 0.6101 | 0.8367 | 0.7422 | 0 |
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- | 0.4754 | 0.8086 | 0.76 | 1 |
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- | 0.3786 | 0.8021 | 0.7778 | 2 |
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- | 0.3192 | 0.7830 | 0.7867 | 3 |
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- | 0.2721 | 0.7740 | 0.7911 | 4 |
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- | 0.2527 | 0.7762 | 0.8 | 5 |
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- | 0.2508 | 0.7762 | 0.8 | 6 |
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- | 0.2548 | 0.7762 | 0.8 | 7 |
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- | 0.2512 | 0.7762 | 0.8 | 8 |
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- | 0.2530 | 0.7762 | 0.8 | 9 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 1.3876
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+ - Validation Loss: 1.1603
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+ - Train Accuracy: 0.6667
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+ - Epoch: 0
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  ## Model description
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  | Train Loss | Validation Loss | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:--------------:|:-----:|
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+ | 1.3876 | 1.1603 | 0.6667 | 0 |
 
 
 
 
 
 
 
 
 
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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tokenizer.json CHANGED
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