Training in progress epoch 4

README.md

@@ -14,9 +14,9 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [deepset/gelectra-large](https://huggingface.co/deepset/gelectra-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0280
-- Validation Loss: 0.1137
-- Epoch: 3
+- Train Loss: 0.0194
+- Validation Loss: 0.1153
+- Epoch: 4
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 | 0.0753     | 0.1003          | 1     |
 | 0.0448     | 0.1035          | 2     |
 | 0.0280     | 0.1137          | 3     |
+| 0.0194     | 0.1153          | 4     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1651755288.bb3a84e6bfa0.600.0.v2

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logs/validation/events.out.tfevents.1651755959.bb3a84e6bfa0.600.1.v2

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tf_model.h5

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