Training in progress epoch 0

README.md

@@ -15,10 +15,12 @@ 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: 0.6559
-- Validation Loss: 0.5935
-- Train Accuracy: 0.5556
-- Epoch: 1
+- Train Loss: 0.6636
+- Validation Loss: 0.5905
+- Train Precision: 0.0
+- Train Recall: 0.0
+- Train F1: 0.0
+- Epoch: 0
 
 ## Model description
 
@@ -42,10 +44,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Train Loss | Validation Loss | Train Accuracy | Epoch |
-|:----------:|:---------------:|:--------------:|:-----:|
-| 0.7230     | 0.6753          | 0.5556         | 0     |
-| 0.6559     | 0.5935          | 0.5556         | 1     |
+| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Epoch |
+|:----------:|:---------------:|:---------------:|:------------:|:--------:|:-----:|
+| 0.6636     | 0.5905          | 0.0             | 0.0          | 0.0      | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d690e55c7198774c3d2a8645999094d4e66b809e286b4c736edf36bf1f3cef45
 size 737986856