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LVI_albertina-900m-portuguese-ptpt-encoder

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deberta-v2
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  1. README.md +16 -18
  2. model.safetensors +1 -1
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  license: mit
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- base_model: PORTULAN/albertina-100m-portuguese-ptpt-encoder
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -9,22 +9,22 @@ metrics:
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  - precision
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  - recall
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  model-index:
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- - name: LVI_albertina-100m-portuguese-ptpt-encoder
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # LVI_albertina-100m-portuguese-ptpt-encoder
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- This model is a fine-tuned version of [PORTULAN/albertina-100m-portuguese-ptpt-encoder](https://huggingface.co/PORTULAN/albertina-100m-portuguese-ptpt-encoder) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1867
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- - Accuracy: 0.9802
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- - F1: 0.9800
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- - Precision: 0.9905
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- - Recall: 0.9696
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  ## Model description
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@@ -55,15 +55,13 @@ 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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- | 0.1284 | 1.0 | 3217 | 0.1454 | 0.9581 | 0.9567 | 0.9882 | 0.9272 |
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- | 0.0946 | 2.0 | 6434 | 0.1211 | 0.9737 | 0.9734 | 0.9864 | 0.9607 |
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- | 0.0575 | 3.0 | 9651 | 0.1087 | 0.9776 | 0.9774 | 0.9892 | 0.9659 |
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- | 0.0374 | 4.0 | 12868 | 0.1033 | 0.981 | 0.9809 | 0.9854 | 0.9765 |
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- | 0.0311 | 5.0 | 16085 | 0.1154 | 0.981 | 0.9808 | 0.9896 | 0.9722 |
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- | 0.0125 | 6.0 | 19302 | 0.1143 | 0.9830 | 0.9830 | 0.9833 | 0.9826 |
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- | 0.0107 | 7.0 | 22519 | 0.1562 | 0.9807 | 0.9805 | 0.9910 | 0.9702 |
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- | 0.0032 | 8.0 | 25736 | 0.1711 | 0.9808 | 0.9806 | 0.9892 | 0.9721 |
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- | 0.0036 | 9.0 | 28953 | 0.1867 | 0.9802 | 0.9800 | 0.9905 | 0.9696 |
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  ### Framework versions
 
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  ---
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  license: mit
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+ base_model: PORTULAN/albertina-900m-portuguese-ptpt-encoder
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  - precision
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  - recall
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  model-index:
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+ - name: LVI_albertina-900m-portuguese-ptpt-encoder
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # LVI_albertina-900m-portuguese-ptpt-encoder
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+ This model is a fine-tuned version of [PORTULAN/albertina-900m-portuguese-ptpt-encoder](https://huggingface.co/PORTULAN/albertina-900m-portuguese-ptpt-encoder) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1651
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+ - Accuracy: 0.9832
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+ - F1: 0.9833
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+ - Precision: 0.9779
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+ - Recall: 0.9889
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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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+ | 0.1273 | 1.0 | 12866 | 0.1718 | 0.9676 | 0.9668 | 0.9914 | 0.9434 |
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+ | 0.1034 | 2.0 | 25732 | 0.1283 | 0.9814 | 0.9813 | 0.9844 | 0.9782 |
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+ | 0.0292 | 3.0 | 38598 | 0.1219 | 0.9850 | 0.9850 | 0.9828 | 0.9872 |
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+ | 0.0251 | 4.0 | 51464 | 0.1203 | 0.9857 | 0.9856 | 0.9901 | 0.9812 |
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+ | 0.013 | 5.0 | 64330 | 0.1240 | 0.9837 | 0.9836 | 0.9896 | 0.9777 |
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+ | 0.0237 | 6.0 | 77196 | 0.1294 | 0.9848 | 0.9849 | 0.9809 | 0.9889 |
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+ | 0.0153 | 7.0 | 90062 | 0.1651 | 0.9832 | 0.9833 | 0.9779 | 0.9889 |
 
 
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  ### Framework versions
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