Ola172 commited on
Commit
98266e4
·
verified ·
1 Parent(s): bf6592d

End of training

Browse files
Files changed (2) hide show
  1. README.md +73 -0
  2. model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,73 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: aubmindlab/bert-base-arabertv2
3
+ tags:
4
+ - generated_from_trainer
5
+ metrics:
6
+ - accuracy
7
+ model-index:
8
+ - name: article_classification_modelv12
9
+ results: []
10
+ ---
11
+
12
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
+ should probably proofread and complete it, then remove this comment. -->
14
+
15
+ # article_classification_modelv12
16
+
17
+ This model is a fine-tuned version of [aubmindlab/bert-base-arabertv2](https://huggingface.co/aubmindlab/bert-base-arabertv2) on the None dataset.
18
+ It achieves the following results on the evaluation set:
19
+ - Loss: 0.0733
20
+ - Accuracy: 0.9884
21
+
22
+ ## Model description
23
+
24
+ More information needed
25
+
26
+ ## Intended uses & limitations
27
+
28
+ More information needed
29
+
30
+ ## Training and evaluation data
31
+
32
+ More information needed
33
+
34
+ ## Training procedure
35
+
36
+ ### Training hyperparameters
37
+
38
+ The following hyperparameters were used during training:
39
+ - learning_rate: 2e-05
40
+ - train_batch_size: 16
41
+ - eval_batch_size: 16
42
+ - seed: 42
43
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
44
+ - lr_scheduler_type: linear
45
+ - num_epochs: 15
46
+
47
+ ### Training results
48
+
49
+ | Training Loss | Epoch | Step | Accuracy | Validation Loss |
50
+ |:-------------:|:-----:|:-----:|:--------:|:---------------:|
51
+ | 0.2914 | 1.0 | 5554 | 0.9158 | 0.2781 |
52
+ | 0.2064 | 2.0 | 11108 | 0.9223 | 0.2741 |
53
+ | 0.1649 | 3.0 | 16662 | 0.9248 | 0.2919 |
54
+ | 0.1396 | 4.0 | 22216 | 0.9296 | 0.3014 |
55
+ | 0.1008 | 5.0 | 27770 | 0.9291 | 0.3584 |
56
+ | 0.0806 | 6.0 | 33324 | 0.9290 | 0.4003 |
57
+ | 0.0872 | 7.0 | 38878 | 0.9239 | 0.4435 |
58
+ | 0.0399 | 8.0 | 44432 | 0.9262 | 0.4933 |
59
+ | 0.0302 | 9.0 | 49986 | 0.9269 | 0.5392 |
60
+ | 0.0678 | 10.0 | 55540 | 0.9889 | 0.0564 |
61
+ | 0.0332 | 11.0 | 61094 | 0.9886 | 0.0650 |
62
+ | 0.0315 | 12.0 | 66648 | 0.9886 | 0.0666 |
63
+ | 0.0174 | 13.0 | 72202 | 0.9885 | 0.0701 |
64
+ | 0.0158 | 14.0 | 77756 | 0.9881 | 0.0742 |
65
+ | 0.0054 | 15.0 | 83310 | 0.0733 | 0.9884 |
66
+
67
+
68
+ ### Framework versions
69
+
70
+ - Transformers 4.40.2
71
+ - Pytorch 2.2.1+cu121
72
+ - Datasets 2.19.1
73
+ - Tokenizers 0.19.1
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:12037312d8b00f5eba56b44001bd1a0821eac8380f148a18a6a6066c3908874d
3
  size 540852288
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5c38cf34600eb0102dfe792af53bdc771076962a418fe617118748d2c088580d
3
  size 540852288