Training in progress epoch 4

README.md

@@ -15,13 +15,13 @@ 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: 0.6500
-- Validation Loss: 0.5786
+- Train Loss: 0.5944
+- Validation Loss: 0.5410
 - Train Precision: 0.0
 - Train Recall: 0.0
 - Train F1: 0.0
 - Train Accuracy: 0.9082
-- Epoch: 3
+- Epoch: 4
 
 ## Model description
 
@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
 | 0.8416     | 0.7234          | 0.0             | 0.0          | 0.0      | 0.9051         | 1     |
 | 0.7323     | 0.6383          | 0.0             | 0.0          | 0.0      | 0.9082         | 2     |
 | 0.6500     | 0.5786          | 0.0             | 0.0          | 0.0      | 0.9082         | 3     |
+| 0.5944     | 0.5410          | 0.0             | 0.0          | 0.0      | 0.9082         | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cad3523e56a303270bb916e99b68b29cd3c7baf29d766ee7089f82d8cbe28613
+oid sha256:302b4c8e116466a5a401f7765c0809574604d9ad78334e0e96bf1c6b9b509294
 size 265587984