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/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2990
-- Validation Loss: 0.2771
+- Train Loss: 0.2463
+- Validation Loss: 0.2575
 - Train Accuracy: 0.9217
-- Epoch: 0
+- Epoch: 1
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.2990     | 0.2771          | 0.9217         | 0     |
+| 0.2463     | 0.2575          | 0.9217         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:59b8615f8738caba94cce4ee0443ebdf381e9b42725be384bf9341d6332e194f
+oid sha256:ee0391c4f16ae9a42805f3ef0dc240a63a2fc7b6ff6778f79f9fe894d6b34d6c
 size 267955144