Training in progress epoch 4

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: 0.7841
-- Validation Loss: 0.8889
-- Train Accuracy: 0.5862
-- Epoch: 3
+- Train Loss: 0.6513
+- Validation Loss: 0.9577
+- Train Accuracy: 0.5517
+- Epoch: 4
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 0.9837     | 1.0893          | 0.3448         | 1     |
 | 0.8903     | 0.9640          | 0.4483         | 2     |
 | 0.7841     | 0.8889          | 0.5862         | 3     |
+| 0.6513     | 0.9577          | 0.5517         | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:18e84d90073f8489970a029228b7f52f2dd48a18f7218328085bc6cc2c42ef62
 size 267954880