ali2066
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sentence_bert-base-uncased-finetuned-SENTENCE

Text Classification

generated_from_trainer

Inference Endpoints

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ali2066 commited on Jun 16, 2022

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update model card README.md

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@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5512
-- Precision: 0.8868
-- Recall: 0.9048
-- F1: 0.8957
-- Accuracy: 0.8321
 ## Model description
@@ -54,11 +54,11 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 130  | 0.4901          | 0.875     | 0.8422 | 0.8583 | 0.7744   |
-| No log        | 2.0   | 260  | 0.4580          | 0.8877    | 0.8663 | 0.8769 | 0.8026   |
-| No log        | 3.0   | 390  | 0.4147          | 0.8725    | 0.9519 | 0.9105 | 0.8482   |
-| 0.3926        | 4.0   | 520  | 0.4996          | 0.8776    | 0.9198 | 0.8982 | 0.8308   |
-| 0.3926        | 5.0   | 650  | 0.6170          | 0.8777    | 0.8824 | 0.88   | 0.8048   |
 ### Framework versions

 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.4834
+- Precision: 0.8079
+- Recall: 1.0
+- F1: 0.8938
+- Accuracy: 0.8079
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 13   | 0.3520          | 0.8889    | 1.0    | 0.9412 | 0.8889   |
+| No log        | 2.0   | 26   | 0.3761          | 0.8889    | 1.0    | 0.9412 | 0.8889   |
+| No log        | 3.0   | 39   | 0.3683          | 0.8889    | 1.0    | 0.9412 | 0.8889   |
+| No log        | 4.0   | 52   | 0.3767          | 0.8889    | 1.0    | 0.9412 | 0.8889   |
+| No log        | 5.0   | 65   | 0.3834          | 0.8889    | 1.0    | 0.9412 | 0.8889   |
 ### Framework versions