Training in progress epoch 1

README.md

@@ -15,11 +15,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.7487
-- Train Accuracy: 0.2210
-- Validation Loss: 1.1266
-- Validation Accuracy: 0.3799
-- Epoch: 0
+- Train Loss: 1.0173
+- Train Accuracy: 0.4225
+- Validation Loss: 0.8678
+- Validation Accuracy: 0.4285
+- Epoch: 1
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 1.7487     | 0.2210         | 1.1266          | 0.3799              | 0     |
+| 1.0173     | 0.4225         | 0.8678          | 0.4285              | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4e92df3bd2c4b20bad831b8acc3b79c11cac74e2b1968b2d133e00a61b628816
+oid sha256:0685c35d760a43254389efc4397e006b2936c3514c5e2654f54ee030ae2fe7e1
 size 1113185960