Training in progress epoch 0

README.md

@@ -15,10 +15,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [ayshi/basic_distil](https://huggingface.co/ayshi/basic_distil) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.6951
-- Validation Loss: 0.7997
+- Train Loss: 0.6522
+- Validation Loss: 0.8024
 - Train Acc: {'accuracy': 0.7466666666666667}
-- Train F1: {'f1': 0.6052389245138363}
+- Train F1: {'f1': array([0.5       , 0.52941176, 0.37037037, 0.83828383, 0.51612903,
+       0.88888889])}
 - Epoch: 0
 
 ## Model description
@@ -43,9 +44,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Train Loss | Validation Loss | Train Acc                        | Train F1                   | Epoch |
-|:----------:|:---------------:|:--------------------------------:|:--------------------------:|:-----:|
-| 0.6951     | 0.7997          | {'accuracy': 0.7466666666666667} | {'f1': 0.6052389245138363} | 0     |
+| Train Loss | Validation Loss | Train Acc                        | Train F1                                                                                       | Epoch |
+|:----------:|:---------------:|:--------------------------------:|:----------------------------------------------------------------------------------------------:|:-----:|
+| 0.6522     | 0.8024          | {'accuracy': 0.7466666666666667} | {'f1': array([0.5       , 0.52941176, 0.37037037, 0.83828383, 0.51612903,
+       0.88888889])} | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:54286edd79a21b82e8edeb60df09aa570701d68e98b7223bcc8731c3f6d13556
+oid sha256:c08fc4201e923875982229c00ab1d09a044a14c9fbe6e125f2d9831344413b12
 size 541448896