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: 0.4434
-- Train Accuracy: 0.8014
-- Train F1 M: 0.4236
-- Train Precision M: 0.3661
-- Train Recall M: 0.5865
-- Validation Loss: 0.2743
-- Validation Accuracy: 0.8872
-- Validation F1 M: 0.4964
-- Validation Precision M: 0.3787
-- Validation Recall M: 0.7644
-- Epoch: 0
+- Train Loss: 0.2804
+- Train Accuracy: 0.8901
+- Train F1 M: 0.4898
+- Train Precision M: 0.3778
+- Train Recall M: 0.7488
+- Validation Loss: 0.2824
+- Validation Accuracy: 0.8879
+- Validation F1 M: 0.5567
+- Validation Precision M: 0.4181
+- Validation Recall M: 0.8782
+- 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 |
 |:----------:|:--------------:|:----------:|:-----------------:|:--------------:|:---------------:|:-------------------:|:---------------:|:----------------------:|:-------------------:|:-----:|
 | 0.4434     | 0.8014         | 0.4236     | 0.3661            | 0.5865         | 0.2743          | 0.8872              | 0.4964          | 0.3787                 | 0.7644              | 0     |
+| 0.2804     | 0.8901         | 0.4898     | 0.3778            | 0.7488         | 0.2824          | 0.8879              | 0.5567          | 0.4181                 | 0.8782              | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5fbe550aab35482d463ad82752539503291fe8b64d328407d06c1e7f0daa90d8
+oid sha256:5d4ad9d7383521962aa9ae671dbf957ec572693488843c48e003e4693b4d01b5
 size 1341127728