Training in progress epoch 7

README.md

@@ -15,10 +15,10 @@ 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: 0.5168
-- Validation Loss: 0.4771
-- Train Accuracy: 0.925
-- Epoch: 3
+- Train Loss: 0.4659
+- Validation Loss: 0.4554
+- Train Accuracy: 0.9333
+- Epoch: 7
 
 ## Model description
 
@@ -48,6 +48,10 @@ The following hyperparameters were used during training:
 | 0.6380     | 0.5999          | 0.8833         | 1     |
 | 0.5750     | 0.5293          | 0.9            | 2     |
 | 0.5168     | 0.4771          | 0.925          | 3     |
+| 0.4718     | 0.4554          | 0.9333         | 4     |
+| 0.4703     | 0.4554          | 0.9333         | 5     |
+| 0.4732     | 0.4554          | 0.9333         | 6     |
+| 0.4659     | 0.4554          | 0.9333         | 7     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:52b2576bd157c30b3428753d5386a8c1629fe0152c7a77e8a57d275cd8410403
 size 267951808