Training in progress epoch 1

README.md

@@ -14,11 +14,11 @@ 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: 0.0264
+- Train Loss: 0.0001
 - Train Accuracy: 1.0
-- Validation Loss: 0.0002
+- Validation Loss: 0.0000
 - Validation Accuracy: 1.0
-- Epoch: 0
+- Epoch: 1
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 0.0264     | 1.0            | 0.0002          | 1.0                 | 0     |
+| 0.0001     | 1.0            | 0.0000          | 1.0                 | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:34fcdf4a8ef9c01f1846bc1fc3358f19d6518e9ee4e8caf909a0b9b02dc80475
+oid sha256:999a91ea9fac6add5c1bd488f02930166bbcb2d120aa63c9f91cc9414330bb35
 size 267951808