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: 0.1456
-- Validation Loss: 0.2498
-- Train Precision: 0.6686
-- Train Recall: 0.4055
-- Train F1: 0.5048
-- Train Accuracy: 0.9452
-- Epoch: 1
+- Train Loss: 0.1094
+- Validation Loss: 0.2448
+- Train Precision: 0.6503
+- Train Recall: 0.4426
+- Train F1: 0.5267
+- Train Accuracy: 0.9485
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.3421     | 0.2973          | 0.4769          | 0.1974       | 0.2792   | 0.9335         | 0     |
 | 0.1456     | 0.2498          | 0.6686          | 0.4055       | 0.5048   | 0.9452         | 1     |
+| 0.1094     | 0.2448          | 0.6503          | 0.4426       | 0.5267   | 0.9485         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 265618704