Training in progress epoch 1

README.md

@@ -15,11 +15,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.4168
-- Train Accuracy: 0.6536
-- Validation Loss: 0.9242
-- Validation Accuracy: 0.7294
-- Epoch: 0
+- Train Loss: 0.8272
+- Train Accuracy: 0.7506
+- Validation Loss: 0.8106
+- Validation Accuracy: 0.7534
+- Epoch: 1
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 1.4168     | 0.6536         | 0.9242          | 0.7294              | 0     |
+| 0.8272     | 0.7506         | 0.8106          | 0.7534              | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:9ce6feca303ec32bed85c408e57be15ed9f6e02b44c2135716c73b756b8e5a9d
 size 264025792