Training in progress epoch 2

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: 0.6883
-- Validation Loss: 0.6899
-- Train Accuracy: 0.65
-- Epoch: 1
+- Train Loss: 0.6863
+- Validation Loss: 0.6958
+- Train Accuracy: 0.5167
+- Epoch: 2
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.7003     | 0.6834          | 0.6167         | 0     |
 | 0.6883     | 0.6899          | 0.65           | 1     |
+| 0.6863     | 0.6958          | 0.5167         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:015f5cce32b6b3c6fa4a25efbf798947adf8f62aa4bfd21963b391ac5f86ca79
 size 267955144