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: 0.7207
-- Validation Loss: 0.5929
-- Train Accuracy: 0.7559
-- Train Precision: 0.7512
-- Train Recall: 0.7559
-- Train F1: 0.7520
-- Epoch: 0
+- Train Loss: 0.4594
+- Validation Loss: 0.4977
+- Train Accuracy: 0.8052
+- Train Precision: 0.8043
+- Train Recall: 0.8052
+- Train F1: 0.8046
+- 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 |
 |:----------:|:---------------:|:--------------:|:---------------:|:------------:|:--------:|:-----:|
 | 0.7207     | 0.5929          | 0.7559         | 0.7512          | 0.7559       | 0.7520   | 0     |
+| 0.4594     | 0.4977          | 0.8052         | 0.8043          | 0.8052       | 0.8046   | 1     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1716107924.ad51a5f53876.217.0.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3429dcd24f6097d3de5fdeb46bba1ec935f78b23e2e76c75dd08f31e83e36746
-size 3530252
+oid sha256:fa240094d2327108041a0c179b6aa459ba4f56847cffc19c0a2da55c0ca95285
+size 3530601

logs/validation/events.out.tfevents.1716108118.ad51a5f53876.217.1.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:93ad111547bea46e4e06ab0b142ef386ffa0b82df847c13d8c10acf35ed4c065
-size 232
+oid sha256:bcde54117ae7c43fa2b7b2ec6f283da02b374b76b686c03b75454083f67c5119
+size 388

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7f31c7dd97870a797483dce543f2519cd49fabb08e7f26262377fd6ebe1a19bb
+oid sha256:e9331e087361c3fd76653bd6e34b39b03201a381bb9b1a275ddd40ffb7fc71f1
 size 438226204