Training in progress epoch 2

README.md

@@ -15,13 +15,13 @@ 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: 0.0545
-- Validation Loss: 0.0628
-- Train Precision: 0.9229
-- Train Recall: 0.9280
-- Train F1: 0.9254
-- Train Accuracy: 0.9826
-- Epoch: 1
+- Train Loss: 0.0353
+- Validation Loss: 0.0616
+- Train Precision: 0.9206
+- Train Recall: 0.9342
+- Train F1: 0.9274
+- Train Accuracy: 0.9831
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.1986     | 0.0718          | 0.8969          | 0.9174       | 0.9070   | 0.9789         | 0     |
 | 0.0545     | 0.0628          | 0.9229          | 0.9280       | 0.9254   | 0.9826         | 1     |
+| 0.0353     | 0.0616          | 0.9206          | 0.9342       | 0.9274   | 0.9831         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6043fd5b7a94e63b125b92321615da25641c9049f02434348b6213d6c38d4730
+oid sha256:1dd84e9e9b84b6f6f61d260994a6ab83b458fbceeec2b67acb9a58b6959274c2
 size 265606416