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: 0.6971
-- Train Accuracy: 0.4979
-- Validation Loss: 0.6933
-- Validation Accuracy: 0.4929
+- Train Loss: 0.6948
+- Train Accuracy: 0.5076
+- Validation Loss: 0.6932
+- Validation Accuracy: 0.5011
 - Epoch: 0
 
 ## Model description
@@ -45,7 +45,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 0.6971     | 0.4979         | 0.6933          | 0.4929              | 0     |
+| 0.6948     | 0.5076         | 0.6932          | 0.5011              | 0     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1704895430.8239485053fa.1370.2.v2

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logs/validation/events.out.tfevents.1704896697.8239485053fa.1370.3.v2

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tf_model.h5

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