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: 0.1619
-- Validation Loss: 0.2789
-- Train Precision: 0.5210
-- Train Recall: 0.3110
-- Train F1: 0.3895
-- Train Accuracy: 0.9390
-- Epoch: 1
+- Train Loss: 0.1247
+- Validation Loss: 0.2703
+- Train Precision: 0.5781
+- Train Recall: 0.3983
+- Train F1: 0.4717
+- Train Accuracy: 0.9441
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.3233     | 0.3269          | 0.4469          | 0.1711       | 0.2474   | 0.9320         | 0     |
 | 0.1619     | 0.2789          | 0.5210          | 0.3110       | 0.3895   | 0.9390         | 1     |
+| 0.1247     | 0.2703          | 0.5781          | 0.3983       | 0.4717   | 0.9441         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:6c56f68bb840149f3658543008baa6be5c1ecc6847380037e49707f33213bad8
 size 265618704