Training in progress epoch 1

README.md

@@ -15,17 +15,17 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.6885
-- Train Accuracy: 0.5696
-- Train F1 M: 0.4983
-- Train Precision M: 0.3705
-- Train Recall M: 0.9997
-- Validation Loss: 0.6757
+- Train Loss: 0.6835
+- Train Accuracy: 0.5807
+- Train F1 M: 0.6227
+- Train Precision M: 0.4066
+- Train Recall M: 1.5628
+- Validation Loss: 0.6756
 - Validation Accuracy: 0.5937
 - Validation F1 M: 0.6390
 - Validation Precision M: 0.4063
 - Validation Recall M: 1.7203
-- Epoch: 0
+- Epoch: 1
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Train F1 M | Train Precision M | Train Recall M | Validation Loss | Validation Accuracy | Validation F1 M | Validation Precision M | Validation Recall M | Epoch |
 |:----------:|:--------------:|:----------:|:-----------------:|:--------------:|:---------------:|:-------------------:|:---------------:|:----------------------:|:-------------------:|:-----:|
 | 0.6885     | 0.5696         | 0.4983     | 0.3705            | 0.9997         | 0.6757          | 0.5937              | 0.6390          | 0.4063                 | 1.7203              | 0     |
+| 0.6835     | 0.5807         | 0.6227     | 0.4066            | 1.5628         | 0.6756          | 0.5937              | 0.6390          | 0.4063                 | 1.7203              | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3a555c0cd694a1dc7b189e3dfee7d19a8124cd2f6f000ef566591b84b971169d
+oid sha256:988b1c3611e3ebca3d69e89355a9d4ebef49eb3b2e29e4af32fc332104964c35
 size 1341127728