Training in progress epoch 3

README.md

@@ -15,11 +15,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.6786
-- Train Accuracy: 0.7826
-- Validation Loss: 0.7871
-- Validation Accuracy: 0.7587
-- Epoch: 2
+- Train Loss: 0.5718
+- Train Accuracy: 0.8100
+- Validation Loss: 0.7981
+- Validation Accuracy: 0.7571
+- Epoch: 3
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | 1.4168     | 0.6536         | 0.9242          | 0.7294              | 0     |
 | 0.8272     | 0.7506         | 0.8106          | 0.7534              | 1     |
 | 0.6786     | 0.7826         | 0.7871          | 0.7587              | 2     |
+| 0.5718     | 0.8100         | 0.7981          | 0.7571              | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:1218a414ab835cc3b2e4663115435b6879bde5fd3443c2fdabbc536b26cb46fd
 size 264025792