tona3738/model1-1

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Blue7Bird/chungli_ao_bert_model](https://huggingface.co/Blue7Bird/chungli_ao_bert_model) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1548
-- Accuracy: 0.9612
-- F1: 0.9611
-- Precision: 0.9636
-- Recall: 0.9605
+- Loss: 0.1354
+- Accuracy: 0.9541
+- F1: 0.9540
+- Precision: 0.9549
+- Recall: 0.9537
 
 ## Model description
 
@@ -43,13 +43,13 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1.3643047390643243e-06
-- train_batch_size: 64
-- eval_batch_size: 64
+- learning_rate: 2.1676153630159755e-05
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 4
 
 ### Training results
 

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5e86774edf1795626c38fb0254b930fc36775266e5203d39e0892fa60680fb7e
+oid sha256:c93bcc6b8337316845b36cce139e335dd7d42afabd87dc3b5b7410981403aa53
 size 410104792

runs/Nov25_19-55-52_9369a326af02/events.out.tfevents.1732564553.9369a326af02.1492.35

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7db0ad5ca22d992c3604928d16ebb83459c14768a1aa304c861c332e9c602363
+size 6257

runs/Nov25_19-55-52_9369a326af02/events.out.tfevents.1732564647.9369a326af02.1492.36

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e5e6cc63230322d394c463e1b4dea57d297eb49b4a8c184b284237b708890ea
+size 1032

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f2c99b76a965d2444783514a012ebabc0d83513c1c7e1e8b9d239a85ab250e1f
+oid sha256:6a187423ef779458b2fa4b6e055d5633c2e54c70dcc60c901ec84c9dd7b75ed0
 size 5240