Training in progress epoch 3

README.md

@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0331
-- Validation Loss: 0.5226
-- Train F1: 0.8966
-- Epoch: 2
+- Train Loss: 0.0258
+- Validation Loss: 0.6466
+- Train F1: 0.8887
+- Epoch: 3
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 | 0.3525     | 0.5093          | 0.8457   | 0     |
 | 0.0893     | 0.5320          | 0.8649   | 1     |
 | 0.0331     | 0.5226          | 0.8966   | 2     |
+| 0.0258     | 0.6466          | 0.8887   | 3     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1686257804.bf249ee763c5.1479.10.v2

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logs/validation/events.out.tfevents.1686257913.bf249ee763c5.1479.11.v2

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tf_model.h5

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