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: 0.1737
-- Validation Loss: 0.0799
-- Train Precision: 0.7422
-- Train Recall: 0.8296
-- Train F1: 0.7835
-- Train Accuracy: 0.9746
-- Epoch: 0
+- Train Loss: 0.0588
+- Validation Loss: 0.0735
+- Train Precision: 0.7787
+- Train Recall: 0.8428
+- Train F1: 0.8095
+- Train Accuracy: 0.9780
+- Epoch: 1
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.1737     | 0.0799          | 0.7422          | 0.8296       | 0.7835   | 0.9746         | 0     |
+| 0.0588     | 0.0735          | 0.7787          | 0.8428       | 0.8095   | 0.9780         | 1     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1659347501.9d626a554d06.58.0.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:56aa82404c97d2b0fd61e9669ab50b7bface842c566bc84deae54b53ed3a1897
-size 1625882
+oid sha256:d4d038fe00c08923d8ffeedc77a4c7cac4104f0479147e58b228fb0553b14b5a
+size 1626308

logs/validation/events.out.tfevents.1659349719.9d626a554d06.58.1.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6ef7702d78cd4cdb87fd29d1da791eec75f4f5065bf341c12617d7dae994c9d3
-size 194
+oid sha256:a425e1f7f71aee53225fc769d9d30779f496048a2f13b97148305ebc5302a78f
+size 350

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:391b153356d793c1dc0a04972c990ef363ae64179be0e7bc3382f697f361bb6d
+oid sha256:bdb352f72bd839f14b958cdcbeb04e99bfec2ca2541ee729650f6d7aaecff250
 size 265588072