Training in progress epoch 6

README.md

@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0932
-- Validation Loss: 0.5839
-- Train Accuracy: 0.8555
-- Epoch: 5
+- Train Loss: 0.0672
+- Validation Loss: 0.6134
+- Train Accuracy: 0.8604
+- Epoch: 6
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | 0.1807     | 0.4561          | 0.8596         | 3     |
 | 0.1303     | 0.5280          | 0.8598         | 4     |
 | 0.0932     | 0.5839          | 0.8555         | 5     |
+| 0.0672     | 0.6134          | 0.8604         | 6     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1705551087.104-171-203-254.2445487.0.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ee89514952fb689dafe23de901bcc2a7e57c2374e3b3e23d79c7625ab0298702
-size 2838700
+oid sha256:7b6f951ebbb36a2c8e59b34cf8cd6fe8de01af6254f11a86c729efc15f2e4108
+size 2838917

logs/validation/events.out.tfevents.1705553327.104-171-203-254.2445487.1.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:51096c55c3ac34b700ed4cb80661c5264f28575cbdf2da7f56cbb080e7444482
-size 980
+oid sha256:e40ffc830886b25261bc2c0b793933c4c923cc3471378264b01284e173e50668
+size 1137

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e0c55adfd3d455dbf647c328dd68fa6d3fcbaf673f8b140474eecea11412e826
+oid sha256:ce29c1daa1a12e807137a31e58fa7900fa5722db74ec78bac92db44b25ec5c46
 size 498865280