Training in progress epoch 2

README.md

@@ -14,9 +14,9 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [deepset/gbert-large](https://huggingface.co/deepset/gbert-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0650
-- Validation Loss: 0.0781
-- Epoch: 1
+- Train Loss: 0.0420
+- Validation Loss: 0.0770
+- Epoch: 2
 
 ## Model description
 
@@ -44,6 +44,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:-----:|
 | 0.1236     | 0.0807          | 0     |
 | 0.0650     | 0.0781          | 1     |
+| 0.0420     | 0.0770          | 2     |
 
 
 ### Framework versions

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logs/validation/events.out.tfevents.1651760993.bb3a84e6bfa0.11312.1.v2

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tf_model.h5

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