Training in progress epoch 1

README.md

@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.5459
-- Validation Loss: 0.7333
-- Train Accuracy: 0.6880
-- Train Precision: 0.7015
-- Train Recall: 0.6880
-- Train F1: 0.6863
-- Epoch: 0
+- Train Loss: 0.3459
+- Validation Loss: 0.8538
+- Train Accuracy: 0.6847
+- Train Precision: 0.7043
+- Train Recall: 0.6847
+- Train F1: 0.6855
+- Epoch: 1
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Train Precision | Train Recall | Train F1 | Epoch |
 |:----------:|:---------------:|:--------------:|:---------------:|:------------:|:--------:|:-----:|
 | 0.5459     | 0.7333          | 0.6880         | 0.7015          | 0.6880       | 0.6863   | 0     |
+| 0.3459     | 0.8538          | 0.6847         | 0.7043          | 0.6847       | 0.6855   | 1     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1716351588.935214a22de4.5785.0.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d7c18da95085660382eee0160a45b730c19005b862275d6bc12cdb1cd4666ad5
-size 3745779
+oid sha256:7074dbfc46bdac3fa9288f17d06c8baae7f3a29e9b5925ff694505f4c9f729f0
+size 3924262

logs/validation/events.out.tfevents.1716352186.935214a22de4.5785.1.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7cbb7a7308b4296966a6a73a6ed7401541181b7100689c3ab604500f320c0a9c
-size 232
+oid sha256:d99f6f3d315230e01725e6ebacc25a53b3da4e23e4d7849a0003929f9436e601
+size 389