Training in progress epoch 0

README.md

@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.2971
-- Validation Loss: 1.3936
-- Train F1: {'f1': 0.4410685401391092}
-- Train Accuracy: {'accuracy': 0.5758245807997052}
+- Train Loss: 1.7183
+- Validation Loss: 1.4170
+- Train F1: 0.4193
+- Train Accuracy: 0.5821
 - Epoch: 0
 
 ## Model description
@@ -42,9 +42,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Train Loss | Validation Loss | Train F1                   | Train Accuracy                   | Epoch |
-|:----------:|:---------------:|:--------------------------:|:--------------------------------:|:-----:|
-| 1.2971     | 1.3936          | {'f1': 0.4410685401391092} | {'accuracy': 0.5758245807997052} | 0     |
+| Train Loss | Validation Loss | Train F1 | Train Accuracy | Epoch |
+|:----------:|:---------------:|:--------:|:--------------:|:-----:|
+| 1.7183     | 1.4170          | 0.4193   | 0.5821         | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 268031680