Training in progress epoch 2

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: 0.4192
-- Train Accuracy: 0.8347
-- Validation Loss: 0.3450
-- Validation Accuracy: 0.9040
-- Epoch: 1
+- Train Loss: 0.2132
+- Train Accuracy: 0.9178
+- Validation Loss: 0.2288
+- Validation Accuracy: 0.9240
+- Epoch: 2
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 0.9485     | 0.5543         | 0.8404          | 0.6870              | 0     |
 | 0.4192     | 0.8347         | 0.3450          | 0.9040              | 1     |
+| 0.2132     | 0.9178         | 0.2288          | 0.9240              | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b93c2f51663be5d57721af09ae919424fa4ada1f3212c6a39e55f6eac3386d03
 size 133754512