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lBober/my-model-Bertin-Sentimento

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README.md CHANGED
@@ -5,6 +5,9 @@ tags:
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  - generated_from_trainer
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  metrics:
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  - accuracy
 
 
 
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  model-index:
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  - name: my-model-Bertin-Sentimento
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  results: []
@@ -17,8 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bertin-project/bertin-roberta-base-spanish](https://huggingface.co/bertin-project/bertin-roberta-base-spanish) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1559
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- - Accuracy: 0.9613
 
 
 
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  ## Model description
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@@ -47,13 +53,13 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.4958 | 1.0 | 37 | 0.3093 | 0.8839 |
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- | 0.3079 | 2.0 | 74 | 0.3121 | 0.9161 |
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- | 0.1519 | 3.0 | 111 | 0.1945 | 0.9097 |
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- | 0.0661 | 4.0 | 148 | 0.1555 | 0.9613 |
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- | 0.0214 | 5.0 | 185 | 0.1559 | 0.9613 |
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  ### Framework versions
 
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  - generated_from_trainer
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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-Bertin-Sentimento
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  results: []
 
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  This model is a fine-tuned version of [bertin-project/bertin-roberta-base-spanish](https://huggingface.co/bertin-project/bertin-roberta-base-spanish) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2367
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+ - Accuracy: 0.9355
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+ - F1: 0.9386
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+ - Precision: 0.9439
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+ - Recall: 0.9355
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  ## Model description
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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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+ | 0.4974 | 1.0 | 37 | 0.2835 | 0.8968 | 0.8480 | 0.8042 | 0.8968 |
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+ | 0.288 | 2.0 | 74 | 0.2301 | 0.9161 | 0.9193 | 0.9236 | 0.9161 |
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+ | 0.1452 | 3.0 | 111 | 0.2097 | 0.9290 | 0.9280 | 0.9272 | 0.9290 |
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+ | 0.0708 | 4.0 | 148 | 0.1820 | 0.9419 | 0.9392 | 0.9383 | 0.9419 |
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+ | 0.0249 | 5.0 | 185 | 0.2367 | 0.9355 | 0.9386 | 0.9439 | 0.9355 |
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  ### Framework versions
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