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: 0.1988
-- Validation Loss: 0.4680
-- Train Accuracy: 0.8869
-- Epoch: 2
+- Train Loss: 0.1184
+- Validation Loss: 0.4918
+- Train Accuracy: 0.8929
+- Epoch: 3
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 1.0941     | 0.4962          | 0.8631         | 0     |
 | 0.2748     | 0.4719          | 0.8631         | 1     |
 | 0.1988     | 0.4680          | 0.8869         | 2     |
+| 0.1184     | 0.4918          | 0.8929         | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:8318641067d22ebc713c932cbc20dfc738ee4d90c4c8f83085e6f1fa048e092b
 size 267964096