Training in progress epoch 4

README.md

@@ -14,11 +14,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/MiniLM-L12-H384-uncased](https://huggingface.co/microsoft/MiniLM-L12-H384-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1465
-- Train Accuracy: 0.9364
-- Validation Loss: 0.1838
-- Validation Accuracy: 0.9295
-- Epoch: 3
+- Train Loss: 0.1168
+- Train Accuracy: 0.9446
+- Validation Loss: 0.1709
+- Validation Accuracy: 0.9350
+- Epoch: 4
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | 0.4192     | 0.8347         | 0.3450          | 0.9040              | 1     |
 | 0.2132     | 0.9178         | 0.2288          | 0.9240              | 2     |
 | 0.1465     | 0.9364         | 0.1838          | 0.9295              | 3     |
+| 0.1168     | 0.9446         | 0.1709          | 0.9350              | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b89cfb3c03629b3f8f1ddb8c2fba8fae645d3bbdbfdbbc019be4245291797917
 size 133754512