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FS_27_06_normal

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roberta
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End of training

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  1. README.md +12 -12
  2. model.safetensors +1 -1
README.md CHANGED
@@ -9,22 +9,22 @@ metrics:
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  - recall
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  - f1
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  model-index:
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- - name: FS_27_06
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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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- # FS_27_06
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  This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2](https://huggingface.co/projecte-aina/roberta-base-ca-v2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1744
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- - Accuracy: 0.966
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- - Precision: 0.9668
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- - Recall: 0.966
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- - F1: 0.9660
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  ## Model description
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@@ -56,11 +56,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | 1.6727 | 1.0 | 375 | 1.5301 | 0.93 | 0.9351 | 0.9300 | 0.9300 |
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- | 0.2375 | 2.0 | 750 | 0.2548 | 0.958 | 0.9622 | 0.958 | 0.9583 |
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- | 0.1424 | 3.0 | 1125 | 0.1922 | 0.96 | 0.9612 | 0.9600 | 0.9599 |
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- | 0.0197 | 4.0 | 1500 | 0.1789 | 0.966 | 0.9670 | 0.966 | 0.9660 |
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- | 0.0171 | 5.0 | 1875 | 0.1744 | 0.966 | 0.9668 | 0.966 | 0.9660 |
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  ### Framework versions
 
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  - recall
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  - f1
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  model-index:
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+ - name: FS_27_06_normal
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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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+ # FS_27_06_normal
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  This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2](https://huggingface.co/projecte-aina/roberta-base-ca-v2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1484
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+ - Accuracy: 0.97
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+ - Precision: 0.9713
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+ - Recall: 0.97
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+ - F1: 0.9701
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 1.7048 | 1.0 | 375 | 1.5380 | 0.948 | 0.9492 | 0.9480 | 0.9480 |
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+ | 0.1844 | 2.0 | 750 | 0.2731 | 0.954 | 0.9597 | 0.9540 | 0.9550 |
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+ | 0.1253 | 3.0 | 1125 | 0.1484 | 0.97 | 0.9713 | 0.97 | 0.9701 |
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+ | 0.0213 | 4.0 | 1500 | 0.1617 | 0.97 | 0.9715 | 0.9700 | 0.9701 |
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+ | 0.0175 | 5.0 | 1875 | 0.1521 | 0.974 | 0.9749 | 0.974 | 0.9740 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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