Training in progress epoch 0

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: 0.0924
-- Validation Loss: 0.1100
-- Train Accuracy: 0.9603
-- Train Precision: 0.9604
-- Train Recall: 0.9603
-- Train F1: 0.9603
-- Epoch: 1
+- Train Loss: 0.1805
+- Validation Loss: 0.0996
+- Train Accuracy: 0.9650
+- Train Precision: 0.9650
+- Train Recall: 0.9650
+- Train F1: 0.9650
+- Epoch: 0
 
 ## Model description
 
@@ -47,8 +47,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Train Precision | Train Recall | Train F1 | Epoch |
 |:----------:|:---------------:|:--------------:|:---------------:|:------------:|:--------:|:-----:|
-| 0.1718     | 0.1277          | 0.9535         | 0.9536          | 0.9535       | 0.9535   | 0     |
-| 0.0924     | 0.1100          | 0.9603         | 0.9604          | 0.9603       | 0.9603   | 1     |
+| 0.1805     | 0.0996          | 0.9650         | 0.9650          | 0.9650       | 0.9650   | 0     |
 
 
 ### Framework versions

tf_model.h5

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