Training in progress epoch 15

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: 0.0560
-- Train Accuracy: 0.9960
-- Validation Loss: 1.4613
-- Validation Accuracy: 0.6561
-- Epoch: 13
+- Train Loss: 0.0403
+- Train Accuracy: 0.9987
+- Validation Loss: 1.4927
+- Validation Accuracy: 0.6667
+- Epoch: 15
 
 ## Model description
 
@@ -59,6 +59,8 @@ The following hyperparameters were used during training:
 | 0.0812     | 0.9920         | 1.4135          | 0.6667              | 11    |
 | 0.0655     | 0.9934         | 1.4341          | 0.6720              | 12    |
 | 0.0560     | 0.9960         | 1.4613          | 0.6561              | 13    |
+| 0.0468     | 0.9973         | 1.4622          | 0.6720              | 14    |
+| 0.0403     | 0.9987         | 1.4927          | 0.6667              | 15    |
 
 
 ### 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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