Training in progress epoch 1

README.md

@@ -14,10 +14,10 @@ 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: 0.8229
-- Validation Loss: 0.5700
-- Train Accuracy: 0.7783
-- Epoch: 0
+- Train Loss: 0.3487
+- Validation Loss: 0.5654
+- Train Accuracy: 0.7954
+- Epoch: 1
 
 ## Model description
 
@@ -44,6 +44,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.8229     | 0.5700          | 0.7783         | 0     |
+| 0.3487     | 0.5654          | 0.7954         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e7d83f9c10c56004d8fc4f16aed51177275e2792c31e6c7ec38b4a25660df516
 size 438203668