Training in progress epoch 3

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: 0.0546
-- Validation Loss: 0.1814
-- Train Accuracy: 0.9406
-- Epoch: 2
+- Train Loss: 0.0235
+- Validation Loss: 0.2376
+- Train Accuracy: 0.9438
+- Epoch: 3
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 0.1622     | 0.1307          | 0.9458         | 0     |
 | 0.0986     | 0.1398          | 0.9462         | 1     |
 | 0.0546     | 0.1814          | 0.9406         | 2     |
+| 0.0235     | 0.2376          | 0.9438         | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:1f7fcdb1dc4f971e52f8fc5b714f9e17aa7068dbf2f7caedc95a09dc480ccaca
 size 267951808