Upload TFEsmForSequenceClassification

README.md

@@ -1,8 +1,8 @@
 ---
 license: mit
+base_model: facebook/esm2_t12_35M_UR50D
 tags:
 - generated_from_keras_callback
-base_model: facebook/esm2_t12_35M_UR50D
 model-index:
 - name: esm2_t12_35M_UR50D-finetuned-cytosol-membrane-classification
   results: []
@@ -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: 0.0918
-- Train Accuracy: 0.9694
-- Validation Loss: 0.1640
-- Validation Accuracy: 0.9495
+- Train Loss: 0.0897
+- Train Accuracy: 0.9689
+- Validation Loss: 0.1530
+- Validation Accuracy: 0.9534
 - Epoch: 2
 
 ## Model description
@@ -45,9 +45,9 @@ The following hyperparameters were used during training:
 
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 0.2427     | 0.9271         | 0.1663          | 0.9464              | 0     |
-| 0.1468     | 0.9538         | 0.1505          | 0.9495              | 1     |
-| 0.0918     | 0.9694         | 0.1640          | 0.9495              | 2     |
+| 0.2437     | 0.9201         | 0.1786          | 0.9457              | 0     |
+| 0.1366     | 0.9525         | 0.1600          | 0.9457              | 1     |
+| 0.0897     | 0.9689         | 0.1530          | 0.9534              | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fd6cbe11cb9858c0136202511e1aa6afe98262386f82a9e1f84c3dc6b13a3d78
+oid sha256:bcd05872bfe23a09a696302c574755e0a26006cf3f4821e4040d2b78f3f60584
 size 136284336