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reddgr
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tl-test-learn-prompt-classifier

Text Classification
Transformers
TensorFlow
distilbert
generated_from_keras_callback
Inference Endpoints
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Upload TFDistilBertForSequenceClassification

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  1. README.md +12 -12
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -16,10 +16,10 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.1146
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- - Train Accuracy: 0.9871
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- - Validation Loss: 0.3037
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- - Validation Accuracy: 0.8600
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  - Epoch: 7
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  ## Model description
@@ -46,14 +46,14 @@ The following hyperparameters were used during training:
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  | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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- | 0.6898 | 0.5431 | 0.6834 | 0.5300 | 0 |
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- | 0.6735 | 0.5517 | 0.6590 | 0.5800 | 1 |
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- | 0.6284 | 0.7112 | 0.5814 | 0.8700 | 2 |
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- | 0.5261 | 0.8707 | 0.4635 | 0.8400 | 3 |
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- | 0.3826 | 0.9310 | 0.3632 | 0.8400 | 4 |
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- | 0.2473 | 0.9569 | 0.3114 | 0.8500 | 5 |
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- | 0.1700 | 0.9741 | 0.2882 | 0.8700 | 6 |
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- | 0.1146 | 0.9871 | 0.3037 | 0.8600 | 7 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.0934
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+ - Train Accuracy: 0.9923
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+ - Validation Loss: 0.2064
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+ - Validation Accuracy: 0.9196
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  - Epoch: 7
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  ## Model description
 
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  | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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+ | 0.6893 | 0.5367 | 0.6705 | 0.5536 | 0 |
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+ | 0.6573 | 0.6911 | 0.6171 | 0.8125 | 1 |
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+ | 0.5946 | 0.7876 | 0.5066 | 0.9196 | 2 |
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+ | 0.4681 | 0.9035 | 0.3703 | 0.9107 | 3 |
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+ | 0.3276 | 0.9266 | 0.2682 | 0.9286 | 4 |
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+ | 0.2147 | 0.9614 | 0.2311 | 0.9196 | 5 |
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+ | 0.1356 | 0.9768 | 0.2067 | 0.9286 | 6 |
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+ | 0.0934 | 0.9923 | 0.2064 | 0.9196 | 7 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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