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: 0.4176
-- Train Accuracy: 0.8080
-- Train F1 M: 0.4543
-- Train Precision M: 0.3667
-- Train Recall M: 0.6857
-- Validation Loss: 0.2600
-- Validation Accuracy: 0.8991
-- Validation F1 M: 0.5567
-- Validation Precision M: 0.4108
-- Validation Recall M: 0.9084
-- Epoch: 0
+- Train Loss: 0.2122
+- Train Accuracy: 0.9203
+- Train F1 M: 0.5400
+- Train Precision M: 0.3991
+- Train Recall M: 0.8908
+- Validation Loss: 0.2049
+- Validation Accuracy: 0.9215
+- Validation F1 M: 0.5529
+- Validation Precision M: 0.4068
+- Validation Recall M: 0.9089
+- 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 |
 |:----------:|:--------------:|:----------:|:-----------------:|:--------------:|:---------------:|:-------------------:|:---------------:|:----------------------:|:-------------------:|:-----:|
 | 0.4176     | 0.8080         | 0.4543     | 0.3667            | 0.6857         | 0.2600          | 0.8991              | 0.5567          | 0.4108                 | 0.9084              | 0     |
+| 0.2122     | 0.9203         | 0.5400     | 0.3991            | 0.8908         | 0.2049          | 0.9215              | 0.5529          | 0.4068                 | 0.9089              | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:2dad0e997948696294838f249f6701af9dbac93e18da88aa49596d8c9df8a4fd
 size 1341127728