Training in progress epoch 0

README.md

@@ -15,12 +15,9 @@ 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: 0.1819
-- Validation Loss: 0.1267
-- Train Accuracy: {'accuracy': 1.0}
-- Train Precision: 1.0
-- Train Recall: 1.0
-- Train F1: 1.0
+- Train Loss: 0.7230
+- Validation Loss: 0.6753
+- Train Accuracy: 0.5556
 - Epoch: 0
 
 ## Model description
@@ -45,9 +42,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Train Loss | Validation Loss | Train Accuracy    | Train Precision | Train Recall | Train F1 | Epoch |
-|:----------:|:---------------:|:-----------------:|:---------------:|:------------:|:--------:|:-----:|
-| 0.1819     | 0.1267          | {'accuracy': 1.0} | 1.0             | 1.0          | 1.0      | 0     |
+| Train Loss | Validation Loss | Train Accuracy | Epoch |
+|:----------:|:---------------:|:--------------:|:-----:|
+| 0.7230     | 0.6753          | 0.5556         | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:ca76aa6500bae099d505dfd9e688c852bb1fae9b6489a2525d31063aff0fa4ea
 size 737986856