Training in progress epoch 0

README.md

@@ -16,10 +16,10 @@ 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: 1.1283
-- Validation Loss: 1.2934
-- Train Accuracy: 0.6171
-- Epoch: 1
+- Train Loss: 1.5472
+- Validation Loss: 1.2766
+- Train Accuracy: 0.6257
+- Epoch: 0
 
 ## Model description
 
@@ -45,8 +45,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 1.5325     | 1.3195          | 0.5979         | 0     |
-| 1.1283     | 1.2934          | 0.6171         | 1     |
+| 1.5472     | 1.2766          | 0.6257         | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:79eee3ccc3bae18c336af0801bb340487abbe799a4723104937043e0e0633656
+oid sha256:63fe600abf75a31eaf27a859c8544c66711b82bbeff67117070622089c8f5be9
 size 268031680