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 [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0925
-- Validation Loss: 0.1168
-- Train Accuracy: 0.9551
-- Train Precision: 0.9569
-- Train Recall: 0.9551
-- Train F1: 0.9551
-- Epoch: 1
+- Train Loss: 0.0528
+- Validation Loss: 0.1076
+- Train Accuracy: 0.9646
+- Train Precision: 0.9649
+- Train Recall: 0.9646
+- Train F1: 0.9646
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:---------------:|:------------:|:--------:|:-----:|
 | 0.1805     | 0.0996          | 0.9650         | 0.9650          | 0.9650       | 0.9650   | 0     |
 | 0.0925     | 0.1168          | 0.9551         | 0.9569          | 0.9551       | 0.9551   | 1     |
+| 0.0528     | 0.1076          | 0.9646         | 0.9649          | 0.9646       | 0.9646   | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 328629336