Training in progress epoch 4

README.md

@@ -15,11 +15,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.8859
-- Train Accuracy: 0.7825
-- Validation Loss: 1.3883
-- Validation Accuracy: 0.6138
-- Epoch: 3
+- Train Loss: 0.6078
+- Train Accuracy: 0.8753
+- Validation Loss: 1.3384
+- Validation Accuracy: 0.5926
+- Epoch: 4
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | 1.5562     | 0.5650         | 1.6742          | 0.4762              | 1     |
 | 1.2099     | 0.6552         | 1.5047          | 0.5450              | 2     |
 | 0.8859     | 0.7825         | 1.3883          | 0.6138              | 3     |
+| 0.6078     | 0.8753         | 1.3384          | 0.5926              | 4     |
 
 
 ### Framework versions

logsa/train/events.out.tfevents.1697913532.5521192874ed.32.3.v2

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logsa/validation/events.out.tfevents.1697913598.5521192874ed.32.4.v2

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tf_model.h5

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