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: 0.5989
-- Validation Loss: 0.5309
-- Train Accuracy: 0.8942
-- Epoch: 2
+- Train Loss: 0.3855
+- Validation Loss: 0.4329
+- Train Accuracy: 0.9084
+- Epoch: 3
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 3.0968     | 1.8396          | 0.7075         | 0     |
 | 1.2128     | 0.8099          | 0.8649         | 1     |
 | 0.5989     | 0.5309          | 0.8942         | 2     |
+| 0.3855     | 0.4329          | 0.9084         | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:7a05e955cd391e4d9ef61a660f70f986894e0318a352b477800f60345576bef3
 size 268182208