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: 0.5592
-- Train Accuracy: 0.7268
-- Validation Loss: 0.3760
-- Validation Accuracy: 0.8554
-- Epoch: 0
+- Train Loss: 0.2979
+- Train Accuracy: 0.8754
+- Validation Loss: 0.3127
+- Validation Accuracy: 0.8578
+- Epoch: 1
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 0.5592     | 0.7268         | 0.3760          | 0.8554              | 0     |
+| 0.2979     | 0.8754         | 0.3127          | 0.8578              | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:cf2c4a192a9c14a9009b6c2645242ed1ea39e1180eda525cbf98c996b328c56d
 size 438223128