Training in progress epoch 0

README.md

@@ -15,11 +15,9 @@ 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: 0.6522
-- Validation Loss: 0.8024
-- Train Acc: {'accuracy': 0.7466666666666667}
-- Train F1: {'f1': array([0.5       , 0.52941176, 0.37037037, 0.83828383, 0.51612903,
-       0.88888889])}
+- Train Loss: 0.4886
+- Validation Loss: 0.8037
+- Train F1: [0.5        0.51428571 0.4        0.84210526 0.51612903 0.88888889]
 - Epoch: 0
 
 ## Model description
@@ -44,10 +42,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| 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     |
+| Train Loss | Validation Loss | Train F1                                                            | Epoch |
+|:----------:|:---------------:|:-------------------------------------------------------------------:|:-----:|
+| 0.4886     | 0.8037          | [0.5        0.51428571 0.4        0.84210526 0.51612903 0.88888889] | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:21638dc5e8a2a4d0a02da84cf3cb7d5abdedcd45bd9abcb57c6ae307880d4ca2
 size 541448896