Training in progress epoch 1

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: 1.9295
-- Train Accuracy: 0.4297
-- Validation Loss: 1.7895
-- Validation Accuracy: 0.4656
-- Epoch: 0
+- Train Loss: 1.5562
+- Train Accuracy: 0.5650
+- Validation Loss: 1.6742
+- Validation Accuracy: 0.4762
+- Epoch: 1
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 1.9295     | 0.4297         | 1.7895          | 0.4656              | 0     |
+| 1.5562     | 0.5650         | 1.6742          | 0.4762              | 1     |
 
 
 ### 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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