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-AMP_Antibacteria-classification
  results: []
@@ -15,11 +15,11 @@ 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: 0.1176
-- Train Accuracy: 0.9553
-- Validation Loss: 0.5906
-- Validation Accuracy: 0.8286
-- Epoch: 0
+- Train Loss: 0.1606
+- Train Accuracy: 0.9325
+- Validation Loss: 0.6329
+- Validation Accuracy: 0.7896
+- Epoch: 4
 
 ## Model description
 
@@ -45,7 +45,11 @@ The following hyperparameters were used during training:
 
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 0.1176 | 0.9553 | 0.5906 | 0.8286 | 0 |
+| 0.3565 | 0.8359 | 0.5393 | 0.7601 | 0 |
+| 0.2744 | 0.8789 | 0.5657 | 0.7697 | 1 |
+| 0.2267 | 0.9016 | 0.5296 | 0.7885 | 2 |
+| 0.1844 | 0.9247 | 0.6085 | 0.7825 | 3 |
+| 0.1606 | 0.9325 | 0.6329 | 0.7896 | 4 |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b8c30e54c9e78ad6ff72712c23b3f0c1d1a34e52894b8c877e5ad36f207e8730
+oid sha256:86bbb5b2c0f65ba0c5178838df8c11d44e779ec2ff431064bc0902cd5f9eceb6
 size 136284336