Training in progress epoch 3

README.md

@@ -15,13 +15,13 @@ 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: 1.0797
-- Validation Loss: 1.0782
+- Train Loss: 1.0800
+- Validation Loss: 1.0702
 - Train Accuracy: 0.3979
 - Train Precision: 0.1583
 - Train Recall: 0.3979
 - Train F1: 0.2265
-- Epoch: 2
+- Epoch: 3
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 1.2667     | 1.0750          | 0.3979         | 0.1583          | 0.3979       | 0.2265   | 0     |
 | 1.0803     | 1.0717          | 0.3979         | 0.1583          | 0.3979       | 0.2265   | 1     |
 | 1.0797     | 1.0782          | 0.3979         | 0.1583          | 0.3979       | 0.2265   | 2     |
+| 1.0800     | 1.0702          | 0.3979         | 0.1583          | 0.3979       | 0.2265   | 3     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1716097344.6264913a9602.740.9.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ee3c11f5dd82a9db9927760da8f9bf1376ccba80676eaaaea7530d2b2cae1e00
-size 1926531
+oid sha256:810f7e10671bfa366d868458be2d34047879f1bb17622ab1501e7a061f47626f
+size 1926880

logs/validation/events.out.tfevents.1716097428.6264913a9602.740.10.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:15dc44cca4c638f62048222d0034fef13dbdc19f19da9ee9dc011a04e4b92b6d
-size 544
+oid sha256:84fd6f7165b4311152fa7f79adf736cf1910d629ee76f5b87ddef92dd0c859d6
+size 700

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:acf4c3915cf91376103aca737c5d035a96da39457436282cf77306874252bd4f
+oid sha256:5f4f87eb641c1666e4f6bf78873f7f6e82470b093f275bc962f82fcbe2ac9da9
 size 267958216