Training in progress epoch 2

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: 0.2335
-- Validation Loss: 0.3034
-- Train Accuracy: 0.8854
-- Train Precision: 0.9037
+- Train Loss: 0.1516
+- Validation Loss: 0.3241
+- Train Accuracy: 0.8872
+- Train Precision: 0.9065
 - Train Recall: 0.8926
-- Train F1: 0.8981
-- Epoch: 1
+- Train F1: 0.8995
+- Epoch: 2
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:---------------:|:------------:|:--------:|:-----:|
 | 0.4231     | 0.3150          | 0.875          | 0.8872          | 0.8926       | 0.8899   | 0     |
 | 0.2335     | 0.3034          | 0.8854         | 0.9037          | 0.8926       | 0.8981   | 1     |
+| 0.1516     | 0.3241          | 0.8872         | 0.9065          | 0.8926       | 0.8995   | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 267951808