Training in progress epoch 1

README.md

@@ -15,10 +15,10 @@ 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: 0.2947
-- Validation Loss: 0.2096
-- Train Accuracy: 0.918
-- Epoch: 0
+- Train Loss: 0.1413
+- Validation Loss: 0.2091
+- Train Accuracy: 0.9185
+- Epoch: 1
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.2947     | 0.2096          | 0.918          | 0     |
+| 0.1413     | 0.2091          | 0.9185         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:498d8b473ded371def6ab2de6ed04c479e58222312863bb07490202817900aa4
+oid sha256:43529d7d919c3cac501cd895f962ad81adf9ce337539759c3ee26100d3d2703e
 size 267951808