Training in progress epoch 1

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: 0.3771
-- Validation Loss: 0.1228
-- Train Precision: 0.8400
-- Train Recall: 0.8644
-- Train F1: 0.8520
-- Train Accuracy: 0.9655
-- Epoch: 0
+- Train Loss: 0.1172
+- Validation Loss: 0.0962
+- Train Precision: 0.8715
+- Train Recall: 0.9001
+- Train F1: 0.8856
+- Train Accuracy: 0.9725
+- Epoch: 1
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.3771     | 0.1228          | 0.8400          | 0.8644       | 0.8520   | 0.9655         | 0     |
+| 0.1172     | 0.0962          | 0.8715          | 0.9001       | 0.8856   | 0.9725         | 1     |
 
 
 ### Framework versions

tf_model.h5

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