debbiesoon
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prot_bert_bfd

Token Classification

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debbiesoon commited on Sep 14, 2022

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update model card README.md

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@@ -17,10 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
 This model was trained from scratch on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4955
-- Precision: 0.7674
-- Recall: 0.7769
-- F1: 0.7666
 ## Model description
@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 61   | 0.4786          | 0.7709    | 0.7746 | 0.7724 |
-| No log        | 2.0   | 122  | 0.4696          | 0.7810    | 0.7799 | 0.7804 |
-| No log        | 3.0   | 183  | 0.4955          | 0.7674    | 0.7769 | 0.7666 |
 ### Framework versions

 This model was trained from scratch on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.5732
+- Precision: 0.7645
+- Recall: 0.7720
+- F1: 0.7665
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 61   | 0.4863          | 0.7687    | 0.7644 | 0.7663 |
+| No log        | 2.0   | 122  | 0.5434          | 0.7709    | 0.7691 | 0.7699 |
+| No log        | 3.0   | 183  | 0.5732          | 0.7645    | 0.7720 | 0.7665 |
 ### Framework versions