Training in progress epoch 4

README.md

@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [nlpaueb/legal-bert-base-uncased](https://huggingface.co/nlpaueb/legal-bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0597
-- Validation Loss: 0.0881
-- Train Precision: 0.8840
-- Train Recall: 0.9112
-- Train F1: 0.8974
-- Train Accuracy: 0.9751
-- Epoch: 3
+- Train Loss: 0.0501
+- Validation Loss: 0.0883
+- Train Precision: 0.8848
+- Train Recall: 0.9160
+- Train F1: 0.9001
+- Train Accuracy: 0.9757
+- Epoch: 4
 
 ## Model description
 
@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
 | 0.1172     | 0.0962          | 0.8715          | 0.9001       | 0.8856   | 0.9725         | 1     |
 | 0.0801     | 0.0895          | 0.8805          | 0.9112       | 0.8956   | 0.9745         | 2     |
 | 0.0597     | 0.0881          | 0.8840          | 0.9112       | 0.8974   | 0.9751         | 3     |
+| 0.0501     | 0.0883          | 0.8848          | 0.9160       | 0.9001   | 0.9757         | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 435935284