Training in progress epoch 2

README.md

@@ -15,12 +15,12 @@ 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: 0.6976
-- Train Binary Accuracy: 0.5642
-- Validation Loss: 0.6981
+- Train Loss: 0.6843
+- Train Binary Accuracy: 0.5640
+- Validation Loss: 0.6990
 - Validation Binary Accuracy: 0.5092
-- Train Accuracy: 0.4908
-- Epoch: 1
+- Train Accuracy: 0.6032
+- Epoch: 2
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------------:|:---------------:|:--------------------------:|:--------------:|:-----:|
 | 0.6987     | 0.5410                | 0.6446          | 0.6835                     | 0.5333         | 0     |
 | 0.6976     | 0.5642                | 0.6981          | 0.5092                     | 0.4908         | 1     |
+| 0.6843     | 0.5640                | 0.6990          | 0.5092                     | 0.6032         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 46781688