Training in progress epoch 0

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: 0.0545
-- Validation Loss: 0.0520
+- Train Loss: 0.0460
+- Validation Loss: 0.0432
 - Train Accuracy: 1.0
-- Epoch: 8
+- Epoch: 0
 
 ## Model description
 
@@ -43,15 +43,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 1.4008     | 1.0242          | 0.7949         | 0     |
-| 0.6857     | 0.5761          | 1.0            | 1     |
-| 0.3659     | 0.3438          | 1.0            | 2     |
-| 0.2247     | 0.2128          | 1.0            | 3     |
-| 0.1540     | 0.1474          | 1.0            | 4     |
-| 0.1104     | 0.1050          | 1.0            | 5     |
-| 0.0845     | 0.0806          | 1.0            | 6     |
-| 0.0659     | 0.0634          | 1.0            | 7     |
-| 0.0545     | 0.0520          | 1.0            | 8     |
+| 0.0460     | 0.0432          | 1.0            | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:272bdf61186b24e03f2d91654eff7210a742934a4ece74eeaef940b9f2fbbb83
+oid sha256:67a882aad07910bb4a2f6e18a74b997a036d0e078715db32475ddd29eefa6d90
 size 267964096