Training in progress epoch 9

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: 0.8707
-- Validation Loss: 1.0402
-- Train Accuracy: 0.68
-- Epoch: 8
+- Train Loss: 0.7858
+- Validation Loss: 0.9904
+- Train Accuracy: 0.7111
+- Epoch: 9
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 1.0415     | 1.0482          | 0.68           | 6     |
 | 0.9646     | 1.0260          | 0.6756         | 7     |
 | 0.8707     | 1.0402          | 0.68           | 8     |
+| 0.7858     | 0.9904          | 0.7111         | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:c41be580484abe739514281e10473ef605db6c435fb2b373bf129814de3a0a7a
 size 46793992