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: 1.1865
-- Train Accuracy: 0.4781
-- Validation Loss: 0.9186
-- Validation Accuracy: 0.5364
-- Epoch: 0
+- Train Loss: 0.8841
+- Train Accuracy: 0.5450
+- Validation Loss: 0.8210
+- Validation Accuracy: 0.5555
+- Epoch: 1
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 1.1865     | 0.4781         | 0.9186          | 0.5364              | 0     |
+| 0.8841     | 0.5450         | 0.8210          | 0.5555              | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:f0f73bcff81e9f91ca3823d49faa43b22813c99942f801c827859d70db37afd3
 size 1113185960