Training in progress epoch 16

README.md

@@ -15,11 +15,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0403
-- Train Accuracy: 0.9987
-- Validation Loss: 1.4927
+- Train Loss: 0.0341
+- Train Accuracy: 1.0
+- Validation Loss: 1.5032
 - Validation Accuracy: 0.6667
-- Epoch: 15
+- Epoch: 16
 
 ## Model description
 
@@ -61,6 +61,7 @@ The following hyperparameters were used during training:
 | 0.0560     | 0.9960         | 1.4613          | 0.6561              | 13    |
 | 0.0468     | 0.9973         | 1.4622          | 0.6720              | 14    |
 | 0.0403     | 0.9987         | 1.4927          | 0.6667              | 15    |
+| 0.0341     | 1.0            | 1.5032          | 0.6667              | 16    |
 
 
 ### Framework versions

logsa/train/events.out.tfevents.1697913532.5521192874ed.32.3.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4b54be609de0a8fd621c21775c578215932be8c0735410feb86f900b4ae76263
-size 4194206
+oid sha256:ce32640bcdc1ca1b213999e883274e689145f052e796e5924b102d7426eaa693
+size 4194346

logsa/validation/events.out.tfevents.1697913598.5521192874ed.32.4.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:868b98c00cc7c39c85422ef05d999b3866822e4e01b20bf5d9a7017017138ec2
-size 5184
+oid sha256:3c82d495102b37cc2196a278a2d64af9aa14a70dc126de7021c10729181888e7
+size 5504

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:30e58cd04c1e3b18a328caf24ef0bd5c4e167789a36a0d566ac928e8e56004b8
+oid sha256:7007d34741bc47220a7098b063a5cd7714ddfbef461302aa256c893d26b7faf8
 size 438260040