Training in progress epoch 3

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: 0.4365
-- Validation Loss: 0.5078
-- Train Accuracy: 0.7470
-- Epoch: 2
+- Train Loss: 0.3345
+- Validation Loss: 0.5176
+- Train Accuracy: 0.7711
+- Epoch: 3
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 | 0.6578     | 0.5969          | 0.7229         | 0     |
 | 0.5501     | 0.6139          | 0.6867         | 1     |
 | 0.4365     | 0.5078          | 0.7470         | 2     |
+| 0.3345     | 0.5176          | 0.7711         | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:150329b69f5af7e1e096a6a7d0c6436d352cbf28b4cbba3fdb5a504339870f43
 size 267951808