End of training

README.md

@@ -14,13 +14,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.7000
-- Validation Loss: 0.7872
-- Train Precision: 0.5281
-- Train Recall: 0.5842
-- Train F1: 0.5547
-- Train Accuracy: 0.7975
-- Epoch: 8
+- Train Loss: 0.6767
+- Validation Loss: 0.7802
+- Train Precision: 0.5256
+- Train Recall: 0.5824
+- Train F1: 0.5525
+- Train Accuracy: 0.8017
+- Epoch: 9
 
 ## Model description
 
@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
 | 0.7904     | 0.8449          | 0.5085          | 0.5626       | 0.5342   | 0.7776         | 6     |
 | 0.7327     | 0.8097          | 0.5211          | 0.5779       | 0.5480   | 0.7917         | 7     |
 | 0.7000     | 0.7872          | 0.5281          | 0.5842       | 0.5547   | 0.7975         | 8     |
+| 0.6767     | 0.7802          | 0.5256          | 0.5824       | 0.5525   | 0.8017         | 9     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1661683261.ba7ce45e5513.17.0.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dd9e6baef0833353b6c3904a123327628cc67568e9b17881bcb69e776b2cae78
-size 1870416
+oid sha256:178a722d1ab8992979e5d0afce335d2bfcc43015f99b5fd05f89c1f0ee497188
+size 1870842

logs/validation/events.out.tfevents.1661683280.ba7ce45e5513.17.1.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8052b359563ee6c9e930ee7ae0611c7a31044c698892cc6d3a5b97d87a4eea92
-size 1439
+oid sha256:17d8bb1e25e2abe4ce8f45ecc513699065f61cfb607b3d4ac9a95d741e733d46
+size 1595

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:916875efad554ac8a136a2d19f32c7d9aa3431033eebdb498d74dedd3573df64
+oid sha256:1e73e61346e1720ff1cf617fb7bd02bf2a9d0abbcf0ec9782d59c46ef959e803
 size 265660768