Training in progress epoch 1

README.md

@@ -14,10 +14,10 @@ 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: 0.2536
-- Validation Loss: 0.1928
-- Train Accuracy: 0.9291
-- Epoch: 0
+- Train Loss: 0.1332
+- Validation Loss: 0.1916
+- Train Accuracy: 0.9292
+- Epoch: 1
 
 ## Model description
 
@@ -44,6 +44,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.2536     | 0.1928          | 0.9291         | 0     |
+| 0.1332     | 0.1916          | 0.9292         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:47edb771636bccfa390086a9d47042ff3a4a7b7482dc03e694f732922a3874c2
 size 267951808