Training in progress epoch 1

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: 0.2487
-- Validation Loss: 0.1971
-- Train Accuracy: 0.9237
-- Epoch: 0
+- Train Loss: 0.1342
+- Validation Loss: 0.1884
+- Train Accuracy: 0.9320
+- Epoch: 1
 
 ## Model description
 
@@ -44,6 +44,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.2487     | 0.1971          | 0.9237         | 0     |
+| 0.1342     | 0.1884          | 0.9320         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7bc06e2d7b513f2483a72e393dbe22b06933d1b90b5b2aa5bf609d0e1c7982da
+oid sha256:93faf5e9bb4ff769535ae50d5376dcb0a72cd68760ec5895dc3ba33a66333f5b
 size 267951808