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: 0.6717
-- Validation Loss: 0.8617
-- Train Accuracy: 0.5862
-- Epoch: 2
+- Train Loss: 0.4366
+- Validation Loss: 0.8978
+- Train Accuracy: 0.6897
+- Epoch: 3
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 | 0.9871     | 1.0630          | 0.3448         | 0     |
 | 0.8663     | 1.0509          | 0.4138         | 1     |
 | 0.6717     | 0.8617          | 0.5862         | 2     |
+| 0.4366     | 0.8978          | 0.6897         | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 267954880