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: 0.0166
-- Validation Loss: 0.2396
-- Train Accuracy: 0.9
-- Epoch: 15
+- Train Loss: 0.0019
+- Validation Loss: 0.4504
+- Train Accuracy: 0.85
+- Epoch: 0
 
 ## Model description
 
@@ -43,22 +43,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 0.6613     | 0.6221          | 0.725          | 0     |
-| 0.5397     | 0.4643          | 0.825          | 1     |
-| 0.3708     | 0.3080          | 0.9            | 2     |
-| 0.3035     | 0.3790          | 0.85           | 3     |
-| 0.2910     | 0.5127          | 0.75           | 4     |
-| 0.2633     | 0.2782          | 0.9            | 5     |
-| 0.1950     | 0.2423          | 0.925          | 6     |
-| 0.1502     | 0.2385          | 0.85           | 7     |
-| 0.1145     | 0.3076          | 0.875          | 8     |
-| 0.0686     | 0.2499          | 0.9            | 9     |
-| 0.0511     | 0.2454          | 0.875          | 10    |
-| 0.0360     | 0.2422          | 0.875          | 11    |
-| 0.0316     | 0.2374          | 0.925          | 12    |
-| 0.0265     | 0.2426          | 0.925          | 13    |
-| 0.0202     | 0.2376          | 0.925          | 14    |
-| 0.0166     | 0.2396          | 0.9            | 15    |
+| 0.0019     | 0.4504          | 0.85           | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e6b32f0c070b0300fae9b13d3813f4db7b986bbaf83223e144fcdcad3ca4aced
 size 267955144