Training in progress epoch 2

README.md

@@ -15,14 +15,14 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/deberta-v3-xsmall](https://huggingface.co/microsoft/deberta-v3-xsmall) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.3015
-- Train Accuracy: 0.9115
-- Validation Loss: 0.2843
-- Validation Accuracy: 0.9115
-- Train Precision: 0.9169
-- Train Recall: 0.9115
-- Train F1: 0.9111
-- Epoch: 1
+- Train Loss: 0.2094
+- Train Accuracy: 0.934
+- Validation Loss: 0.2149
+- Validation Accuracy: 0.9340
+- Train Precision: 0.9362
+- Train Recall: 0.934
+- Train F1: 0.9336
+- Epoch: 2
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 |:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
 | 0.9979     | 0.88           | 0.3892          | 0.8800              | 0.8846          | 0.88         | 0.8791   | 0     |
 | 0.3015     | 0.9115         | 0.2843          | 0.9115              | 0.9169          | 0.9115       | 0.9111   | 1     |
+| 0.2094     | 0.934          | 0.2149          | 0.9340              | 0.9362          | 0.934        | 0.9336   | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f8c6be546e439359cb7da5cbd790d5aae73390fd43b4cd1b5b81fb21858fb0d2
+oid sha256:a277ac09a985ea9d53517eeebc40dd594e65ea16976bea14ec739a086c1474d3
 size 283635496