Training in progress epoch 5

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: 0.3647
-- Validation Loss: 0.5168
-- Train Accuracy: 0.7692
-- Epoch: 3
+- Train Loss: 0.2184
+- Validation Loss: 0.4834
+- Train Accuracy: 0.8205
+- Epoch: 5
 
 ## Model description
 
@@ -47,6 +47,8 @@ The following hyperparameters were used during training:
 | 0.6287     | 0.6204          | 0.7436         | 1     |
 | 0.4746     | 0.4927          | 0.7949         | 2     |
 | 0.3647     | 0.5168          | 0.7692         | 3     |
+| 0.2682     | 0.5776          | 0.7436         | 4     |
+| 0.2184     | 0.4834          | 0.8205         | 5     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:21a3b787ef81d4602e4cd55d889e36943110d6185dff4aa152da63b9a8313b3d
 size 267955144