Training in progress epoch 2

README.md

@@ -14,13 +14,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1940
-- Validation Loss: 0.1394
-- Train Precision: 0.4620
-- Train Recall: 0.4907
-- Train F1: 0.4759
-- Train Accuracy: 0.9572
-- Epoch: 1
+- Train Loss: 0.1445
+- Validation Loss: 0.1298
+- Train Precision: 0.4545
+- Train Recall: 0.4969
+- Train F1: 0.4748
+- Train Accuracy: 0.9589
+- Epoch: 2
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.3886     | 0.2033          | 0.2760          | 0.3292       | 0.3003   | 0.9494         | 0     |
 | 0.1940     | 0.1394          | 0.4620          | 0.4907       | 0.4759   | 0.9572         | 1     |
+| 0.1445     | 0.1298          | 0.4545          | 0.4969       | 0.4748   | 0.9589         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b31a9b1cf789dd20a5e0fc0a33e2d6bfc2b7270b14a5e81419aad5c68a26fda5
 size 265643280