Training in progress epoch 3

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: 0.5587
-- Validation Loss: 0.7697
-- Train Accuracy: 0.7136
-- Epoch: 2
+- Train Loss: 0.4383
+- Validation Loss: 0.8380
+- Train Accuracy: 0.7013
+- Epoch: 3
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 | 0.8845     | 0.7600          | 0.7045         | 0     |
 | 0.6736     | 0.7481          | 0.7183         | 1     |
 | 0.5587     | 0.7697          | 0.7136         | 2     |
+| 0.4383     | 0.8380          | 0.7013         | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:7312638882d4db1e76aedb4b6340a65a1dd4ac0113973dc8562ff5371aabf38b
 size 267961112