Training in progress epoch 3

README.md

@@ -15,10 +15,10 @@ 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: 0.3560
-- Validation Loss: 0.3338
-- Train Accuracy: 0.9465
-- Epoch: 2
+- Train Loss: 0.3565
+- Validation Loss: 0.3275
+- Train Accuracy: 0.9445
+- Epoch: 3
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 0.4909     | 0.3018          | 0.931          | 0     |
 | 0.3588     | 0.3213          | 0.9465         | 1     |
 | 0.3560     | 0.3338          | 0.9465         | 2     |
+| 0.3565     | 0.3275          | 0.9445         | 3     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1715454713.c8027e7391cc.210.0.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7b1eae3a1b3425e8d402b10f053f96dee2cf05b7918aa1e7a714f8d0171aa257
-size 3530328
+oid sha256:5f550efb5a7a90370711abfc0d2985f350899630ea087e4179055dc2889a3d49
+size 3530468

logs/validation/events.out.tfevents.1715454907.c8027e7391cc.210.1.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0ee1475b626c5e61758c580be6b6caf7976745022744776849c7bdeb2007f565
-size 544
+oid sha256:14090cdb0cebe084b241eac637304aa5facbbfce7c99dd6e9a6407927cf603d9
+size 700