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: 0.6867
-- Validation Loss: 0.6996
+- Train Loss: 0.6879
+- Validation Loss: 0.6976
 - Train Accuracy: 0.4908
-- Epoch: 1
+- Epoch: 0
 
 ## Model description
 
@@ -43,8 +43,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 0.6865     | 0.6975          | 0.4908         | 0     |
-| 0.6867     | 0.6996          | 0.4908         | 1     |
+| 0.6879     | 0.6976          | 0.4908         | 0     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1643519687.f62b60c9ebeb.102.0.v2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:72b012b78abc8d5353f7f293f4afba9ee5820de9a9df6e7587f83a425ef8f4c8
+size 1493342

logs/validation/events.out.tfevents.1643519852.f62b60c9ebeb.102.1.v2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e2b775618cfe550f799f04a665c0ffaa1ca94acd6f6e5071bf21fb7327927849
+size 194

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:55c26c90b6c45231b8b2ec837fe92b70650607d089a14b6140ad7a92bc5719c4
+oid sha256:c50d49debcb1d95a08baeebf76b14579edd77e7edadc27b16cd4dbeff0e2e903
 size 267951896