Training in progress epoch 1

README.md

@@ -15,14 +15,14 @@ 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: 1.5173
-- Train Accuracy: 0.691
-- Validation Loss: 0.8650
-- Validation Accuracy: 0.6910
-- Train Precision: 0.6989
-- Train Recall: 0.691
-- Train F1: 0.6859
-- Epoch: 0
+- Train Loss: 0.5919
+- Train Accuracy: 0.8635
+- Validation Loss: 0.3998
+- Validation Accuracy: 0.8635
+- Train Precision: 0.8635
+- Train Recall: 0.8635
+- Train F1: 0.8618
+- Epoch: 1
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Train Precision | Train Recall | Train F1 | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
 | 1.5173     | 0.691          | 0.8650          | 0.6910              | 0.6989          | 0.691        | 0.6859   | 0     |
+| 0.5919     | 0.8635         | 0.3998          | 0.8635              | 0.8635          | 0.8635       | 0.8618   | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 328641624