Upload TFDebertaForSequenceClassification

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0087
-- Train Accuracy: 0.9986
-- Validation Loss: 0.0014
-- Validation Accuracy: 1.0
+- Train Loss: 0.0084
+- Train Accuracy: 0.9987
+- Validation Loss: 0.0019
+- Validation Accuracy: 0.9995
 - Epoch: 1
 
 ## Model description
@@ -45,8 +45,8 @@ The following hyperparameters were used during training:
 
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 0.2358     | 0.9483         | 0.0092          | 0.9981              | 0     |
-| 0.0087     | 0.9986         | 0.0014          | 1.0                 | 1     |
+| 0.2113     | 0.9544         | 0.0056          | 0.9995              | 0     |
+| 0.0084     | 0.9987         | 0.0019          | 0.9995              | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:a55f390e6bbcf381604599ba79f622145e104f7d9ed06e2bde3e6f6ed772f0ad
 size 557144072