Training in progress epoch 1

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.2151
-- Validation Loss: 1.1505
+- Train Loss: 1.1415
+- Validation Loss: 1.1152
 - Train Accuracy: 0.6667
-- Epoch: 0
+- Epoch: 1
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 1.2151     | 1.1505          | 0.6667         | 0     |
+| 1.1415     | 1.1152          | 0.6667         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:20eb516c61b4268ef84ceef8767d815c1cd6ce3977436083b3e35be4a85ef947
 size 46793992