Training in progress epoch 3

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: 0.1092
-- Train Accuracy: 0.9599
-- Train F1 M: 0.5601
-- Train Precision M: 0.4046
-- Train Recall M: 0.9746
-- Validation Loss: 0.2161
-- Validation Accuracy: 0.9202
-- Validation F1 M: 0.5650
-- Validation Precision M: 0.4054
-- Validation Recall M: 0.9763
-- Epoch: 2
+- Train Loss: 0.0650
+- Train Accuracy: 0.9781
+- Train F1 M: 0.5639
+- Train Precision M: 0.4054
+- Train Recall M: 0.9861
+- Validation Loss: 0.2272
+- Validation Accuracy: 0.9268
+- Validation F1 M: 0.5645
+- Validation Precision M: 0.4042
+- Validation Recall M: 0.9815
+- Epoch: 3
 
 ## Model description
 
@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
 | 0.3612     | 0.8415         | 0.5169     | 0.3925            | 0.8303         | 0.2233          | 0.9169              | 0.5623          | 0.4054                 | 0.9621              | 0     |
 | 0.1787     | 0.9354         | 0.5550     | 0.4025            | 0.9562         | 0.2166          | 0.9182              | 0.5720          | 0.4110                 | 0.9869              | 1     |
 | 0.1092     | 0.9599         | 0.5601     | 0.4046            | 0.9746         | 0.2161          | 0.9202              | 0.5650          | 0.4054                 | 0.9763              | 2     |
+| 0.0650     | 0.9781         | 0.5639     | 0.4054            | 0.9861         | 0.2272          | 0.9268              | 0.5645          | 0.4042                 | 0.9815              | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:da89d29dfc4cefc05d639469b85c33580a40221f4ecbdb9332157c2d5724623c
 size 1341127728