lipaoMai commited on
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End of training

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README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  license: apache-2.0
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- base_model: distilbert-base-uncased
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # sentiment-model-portuguese-distilbert-pos-neg
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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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- - Loss: 0.3245
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- - Accuracy: 0.872
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- - F1: 0.8670
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- - Precision: 0.8641
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- - Recall: 0.872
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  ## Model description
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@@ -56,8 +56,8 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | 0.3592 | 1.0 | 375 | 0.3348 | 0.8703 | 0.8561 | 0.8560 | 0.8703 |
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- | 0.296 | 2.0 | 750 | 0.3245 | 0.872 | 0.8670 | 0.8641 | 0.872 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: lipaoMai/sentiment-model-portuguese-distilbert-pos-neg
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # sentiment-model-portuguese-distilbert-pos-neg
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+ This model is a fine-tuned version of [lipaoMai/sentiment-model-portuguese-distilbert-pos-neg](https://huggingface.co/lipaoMai/sentiment-model-portuguese-distilbert-pos-neg) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2906
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+ - Accuracy: 0.895
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+ - F1: 0.8894
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+ - Precision: 0.8887
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+ - Recall: 0.895
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 0.354 | 1.0 | 188 | 0.2773 | 0.8943 | 0.8870 | 0.8876 | 0.8943 |
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+ | 0.1966 | 2.0 | 376 | 0.2906 | 0.895 | 0.8894 | 0.8887 | 0.895 |
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  ### Framework versions
config.json CHANGED
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  "architectures": [
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  "DistilBertForSequenceClassification"
 
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  {
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