Training in progress epoch 3

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: 0.3904
-- Validation Loss: 0.5303
-- Train Precision: 0.6384
-- Train Recall: 0.6191
-- Train F1: 0.6239
-- Train Accuracy: 0.8523
-- Epoch: 2
+- Train Loss: 0.3005
+- Validation Loss: 0.5042
+- Train Precision: 0.6594
+- Train Recall: 0.6486
+- Train F1: 0.6531
+- Train Accuracy: 0.8610
+- Epoch: 3
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | 1.2437     | 0.6349          | 0.5675          | 0.5420       | 0.5499   | 0.8343         | 0     |
 | 0.5456     | 0.5544          | 0.6316          | 0.6172       | 0.6214   | 0.8435         | 1     |
 | 0.3904     | 0.5303          | 0.6384          | 0.6191       | 0.6239   | 0.8523         | 2     |
+| 0.3005     | 0.5042          | 0.6594          | 0.6486       | 0.6531   | 0.8610         | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 268010440