Training in progress epoch 0

README.md

@@ -14,10 +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: 0.1509
-- Validation Loss: 0.3704
-- Train Accuracy: 0.8655
-- Epoch: 2
+- Train Loss: 0.0753
+- Validation Loss: 0.3810
+- Train Accuracy: 0.8828
+- Train Precision: 0.9071
+- Train Recall: 0.8834
+- Train F1: 0.8951
+- Epoch: 0
 
 ## Model description
 
@@ -41,11 +44,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Train Loss | Validation Loss | Train Accuracy | Epoch |
-|:----------:|:---------------:|:--------------:|:-----:|
-| 0.4141     | 0.3181          | 0.8759         | 0     |
-| 0.2267     | 0.3542          | 0.8611         | 1     |
-| 0.1509     | 0.3704          | 0.8655         | 2     |
+| Train Loss | Validation Loss | Train Accuracy | Train Precision | Train Recall | Train F1 | Epoch |
+|:----------:|:---------------:|:--------------:|:---------------:|:------------:|:--------:|:-----:|
+| 0.0753     | 0.3810          | 0.8828         | 0.9071          | 0.8834       | 0.8951   | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:bd98a670e3354c6103308674d82644313ccbf17f2520554c33a49a2dfc94a09e
 size 267955144