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Tirendaz
/
emotion-analysis-with-distilbert

Text Classification
Transformers
TensorFlow
distilbert
generated_from_keras_callback
Model card Files Community
Tirendaz commited on
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1a29dae
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1 Parent(s): f1daacf

Training in progress epoch 0

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  1. README.md +6 -7
  2. tf_model.h5 +1 -1
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-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: 0.1310
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- - Validation Loss: 0.1362
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- - Train Accuracy: 0.932
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- - Epoch: 1
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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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- | 0.3754 | 0.1718 | 0.9255 | 0 |
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- | 0.1310 | 0.1362 | 0.932 | 1 |
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  ### Framework versions
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  - Transformers 4.33.0
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  - TensorFlow 2.12.0
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- - Datasets 2.1.0
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  - Tokenizers 0.13.3
 
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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: 0.3781
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+ - Validation Loss: 0.1645
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+ - Train Accuracy: 0.927
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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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+ | 0.3781 | 0.1645 | 0.927 | 0 |
 
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  ### Framework versions
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  - Transformers 4.33.0
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  - TensorFlow 2.12.0
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+ - Datasets 2.15.0
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  - Tokenizers 0.13.3
tf_model.h5 CHANGED
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