Training in progress epoch 4

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: 0.5247
-- Validation Loss: 0.6507
-- Train Accuracy: 0.8432
-- Epoch: 2
+- Train Loss: 0.3131
+- Validation Loss: 0.6052
+- Train Accuracy: 0.8499
+- Epoch: 4
 
 ## Model description
 
@@ -47,6 +47,8 @@ The following hyperparameters were used during training:
 | 2.3808     | 1.2434          | 0.7405         | 0     |
 | 0.8940     | 0.7746          | 0.8247         | 1     |
 | 0.5247     | 0.6507          | 0.8432         | 2     |
+| 0.3778     | 0.6127          | 0.8499         | 3     |
+| 0.3131     | 0.6052          | 0.8499         | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:6add8d052bee755a30c5efabee9cff576a8fe5fae9ad0d2506054b590302890c
 size 268129984