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: 0.3584
-- Validation Loss: 0.4823
-- Train Precision: 0.6518
-- Train Recall: 0.6619
-- Train F1: 0.6558
-- Train Accuracy: 0.8620
-- Epoch: 2
+- Train Loss: 0.2612
+- Validation Loss: 0.4890
+- Train Precision: 0.7183
+- Train Recall: 0.6777
+- Train F1: 0.6902
+- Train Accuracy: 0.8654
+- Epoch: 3
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | 1.1440     | 0.6108          | 0.5739          | 0.5788       | 0.5727   | 0.8367         | 0     |
 | 0.5050     | 0.5447          | 0.6506          | 0.6243       | 0.6325   | 0.8489         | 1     |
 | 0.3584     | 0.4823          | 0.6518          | 0.6619       | 0.6558   | 0.8620         | 2     |
+| 0.2612     | 0.4890          | 0.7183          | 0.6777       | 0.6902   | 0.8654         | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
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 size 268010440