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lBober/my-model-Sabert-Sentimento

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README.md CHANGED
@@ -6,8 +6,6 @@ tags:
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  metrics:
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  - accuracy
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  - f1
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- - precision
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- - recall
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  model-index:
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  - name: my-model-Sabert-Sentimento
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  results: []
@@ -20,11 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis](https://huggingface.co/VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3684
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- - Accuracy: 0.8839
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- - F1: 0.8294
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- - Precision: 0.7812
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- - Recall: 0.8839
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  ## Model description
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@@ -53,13 +49,13 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | 1.0041 | 1.0 | 37 | 0.4475 | 0.8839 | 0.8294 | 0.7812 | 0.8839 |
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- | 0.4618 | 2.0 | 74 | 0.4023 | 0.8839 | 0.8294 | 0.7812 | 0.8839 |
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- | 0.4878 | 3.0 | 111 | 0.3611 | 0.8839 | 0.8294 | 0.7812 | 0.8839 |
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- | 0.4053 | 4.0 | 148 | 0.3654 | 0.8839 | 0.8294 | 0.7812 | 0.8839 |
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- | 0.4072 | 5.0 | 185 | 0.3684 | 0.8839 | 0.8294 | 0.7812 | 0.8839 |
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  ### Framework versions
 
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  metrics:
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  - accuracy
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  - f1
 
 
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  model-index:
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  - name: my-model-Sabert-Sentimento
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  results: []
 
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  This model is a fine-tuned version of [VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis](https://huggingface.co/VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4116
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+ - Accuracy: 0.8581
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+ - F1: 0.0
 
 
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|
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+ | 1.1894 | 1.0 | 37 | 0.4127 | 0.8581 | 0.0 |
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+ | 0.4271 | 2.0 | 74 | 0.5765 | 0.8581 | 0.0 |
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+ | 0.445 | 3.0 | 111 | 0.4119 | 0.8581 | 0.0 |
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+ | 0.4166 | 4.0 | 148 | 0.4336 | 0.8581 | 0.0 |
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+ | 0.4212 | 5.0 | 185 | 0.4116 | 0.8581 | 0.0 |
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  ### Framework versions
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