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: 0.1060
-- Validation Loss: 0.2728
-- Train Accuracy: 0.8922
-- Epoch: 1
+- Train Loss: 0.2119
+- Validation Loss: 0.2385
+- Train Accuracy: 0.9037
+- Epoch: 0
 
 ## Model description
 
@@ -43,8 +43,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 0.2137     | 0.2427          | 0.9014         | 0     |
-| 0.1060     | 0.2728          | 0.8922         | 1     |
+| 0.2119     | 0.2385          | 0.9037         | 0     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1660001299.default.147.0.v2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e632606fcad72517ace9d2c0de92805096948d246118f63ffd539aae682b2d54
+size 1590491

logs/validation/events.out.tfevents.1660006580.default.147.1.v2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:be3956850a5605133be9dddb0704d1a2bd6400b59aca207d4abd55046f658769
+size 194

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4c499bafc4405f12fca386b00002836e8183e3ffe790344579b667f6d157a608
+oid sha256:809525b4888993db8f2bb7220261f67062358e5152218b8ece7ce4ba9764f4e1
 size 267951808