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/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.7579
-- Validation Loss: 0.7443
-- Train Precision: 0.4422
-- Train Recall: 0.5516
-- Train F1: 0.4909
-- Train Accuracy: 0.6847
-- Epoch: 1
+- Train Loss: 0.7078
+- Validation Loss: 0.7114
+- Train Precision: 0.4712
+- Train Recall: 0.4993
+- Train F1: 0.4848
+- Train Accuracy: 0.6975
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.9042     | 0.8202          | 0.5397          | 0.2181       | 0.3107   | 0.6243         | 0     |
 | 0.7579     | 0.7443          | 0.4422          | 0.5516       | 0.4909   | 0.6847         | 1     |
+| 0.7078     | 0.7114          | 0.4712          | 0.4993       | 0.4848   | 0.6975         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 265587984