lovegemini63
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esm2_t12_35M_UR50D-finetuned-glycosylation-classification

Token Classification

generated_from_keras_callback

Inference Endpoints

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lovegemini63 commited on Sep 23, 2023

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Upload TFEsmForTokenClassification

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README.md +7 -7
tf_model.h5 +1 -1

README.md CHANGED Viewed

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [facebook/esm2_t12_35M_UR50D](https://huggingface.co/facebook/esm2_t12_35M_UR50D) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0024
-- Train Masked Accuracy: 0.9994
-- Validation Loss: 0.0024
-- Validation Masked Accuracy: 0.9994
 - Epoch: 2
 ## Model description
@@ -45,9 +45,9 @@ The following hyperparameters were used during training:
 | Train Loss | Train Masked Accuracy | Validation Loss | Validation Masked Accuracy | Epoch |
 |:----------:|:---------------------:|:---------------:|:--------------------------:|:-----:|
-| 0.0504     | 0.9889                | 0.0069          | 0.9982                     | 0     |
-| 0.0031     | 0.9992                | 0.0028          | 0.9993                     | 1     |
-| 0.0024     | 0.9994                | 0.0024          | 0.9994                     | 2     |
 ### Framework versions

 This model is a fine-tuned version of [facebook/esm2_t12_35M_UR50D](https://huggingface.co/facebook/esm2_t12_35M_UR50D) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Train Loss: 0.0031
+- Train Masked Accuracy: 0.9993
+- Validation Loss: 0.0036
+- Validation Masked Accuracy: 0.9991
 - Epoch: 2
 ## Model description
 | Train Loss | Train Masked Accuracy | Validation Loss | Validation Masked Accuracy | Epoch |
 |:----------:|:---------------------:|:---------------:|:--------------------------:|:-----:|
+| 0.0665     | 0.9819                | 0.0121          | 0.9981                     | 0     |
+| 0.0055     | 0.9988                | 0.0034          | 0.9993                     | 1     |
+| 0.0031     | 0.9993                | 0.0036          | 0.9991                     | 2     |
 ### Framework versions

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@@ -1,3 +1,3 @@
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