Training in progress epoch 0

README.md

@@ -15,10 +15,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.3757
-- Validation Loss: 0.2846
-- Train Accuracy: 1.0
-- Epoch: 2
+- Train Loss: 0.2630
+- Validation Loss: 0.2305
+- Train Accuracy: {'accuracy': 1.0}
+- Train Precision: 1.0
+- Train Recall: 1.0
+- Train F1: 1.0
+- Epoch: 0
 
 ## Model description
 
@@ -42,11 +45,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Train Loss | Validation Loss | Train Accuracy | Epoch |
-|:----------:|:---------------:|:--------------:|:-----:|
-| 0.6908     | 0.6074          | 0.5833         | 0     |
-| 0.5563     | 0.4171          | 0.9722         | 1     |
-| 0.3757     | 0.2846          | 1.0            | 2     |
+| Train Loss | Validation Loss | Train Accuracy    | Train Precision | Train Recall | Train F1 | Epoch |
+|:----------:|:---------------:|:-----------------:|:---------------:|:------------:|:--------:|:-----:|
+| 0.2630     | 0.2305          | {'accuracy': 1.0} | 1.0             | 1.0          | 1.0      | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:dbd7ca1437d0ca59b285690781b9ced15a9fe69738e7f7707b76fe44273b5d89
 size 737986856