Training in progress epoch 0

README.md

@@ -15,10 +15,10 @@ 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: 0.6560
-- Validation Loss: 0.6254
-- Train Accuracy: {'accuracy': 0.675}
-- Train F1: {'f1': 0.7410358565737053}
+- Train Loss: 0.6353
+- Validation Loss: 0.5513
+- Train Accuracy: 0.735
+- Train F1: 0.7686
 - Epoch: 0
 
 ## Model description
@@ -43,9 +43,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Train Loss | Validation Loss | Train Accuracy      | Train F1                   | Epoch |
-|:----------:|:---------------:|:-------------------:|:--------------------------:|:-----:|
-| 0.6560     | 0.6254          | {'accuracy': 0.675} | {'f1': 0.7410358565737053} | 0     |
+| Train Loss | Validation Loss | Train Accuracy | Train F1 | Epoch |
+|:----------:|:---------------:|:--------------:|:--------:|:-----:|
+| 0.6353     | 0.5513          | 0.735          | 0.7686   | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d2da96a03ed8799da1ebb8a31c75ec5ea5087de4912d8908d4105743d8bb5aa2
 size 267955144