Hugging Face's logo

bhaswata08
/
sutra-classifier-adv

Transformers
Safetensors
Generated from Trainer
Model card Files
xet
Community
bhaswata08 commited on
Commit
e0f87ed
·
verified ·
1 Parent(s): 33f1dc0

Model save

Browse files
Files changed (2) hide show
  1. README.md +84 -0
  2. model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,84 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: mit
4
+ base_model: ai4bharat/IndicBERTv2-MLM-Sam-TLM
5
+ tags:
6
+ - generated_from_trainer
7
+ metrics:
8
+ - accuracy
9
+ - f1
10
+ model-index:
11
+ - name: sutra-classifier-adv
12
+ results: []
13
+ ---
14
+
15
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
16
+ should probably proofread and complete it, then remove this comment. -->
17
+
18
+ # sutra-classifier-adv
19
+
20
+ This model is a fine-tuned version of [ai4bharat/IndicBERTv2-MLM-Sam-TLM](https://huggingface.co/ai4bharat/IndicBERTv2-MLM-Sam-TLM) on the None dataset.
21
+ It achieves the following results on the evaluation set:
22
+ - Loss: 3.9104
23
+ - Accuracy: 0.9020
24
+ - F1: 0.9020
25
+ - Adv Acc: 0.0
26
+
27
+ ## Model description
28
+
29
+ More information needed
30
+
31
+ ## Intended uses & limitations
32
+
33
+ More information needed
34
+
35
+ ## Training and evaluation data
36
+
37
+ More information needed
38
+
39
+ ## Training procedure
40
+
41
+ ### Training hyperparameters
42
+
43
+ The following hyperparameters were used during training:
44
+ - learning_rate: 8.8e-05
45
+ - train_batch_size: 32
46
+ - eval_batch_size: 64
47
+ - seed: 42
48
+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
49
+ - lr_scheduler_type: linear
50
+ - lr_scheduler_warmup_ratio: 0.079905
51
+ - num_epochs: 20
52
+
53
+ ### Training results
54
+
55
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Adv Acc |
56
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:-------:|
57
+ | 0.8968 | 1.0 | 72 | 1.9034 | 0.8078 | 0.8048 | 0.0902 |
58
+ | 2.4258 | 2.0 | 144 | 5.0244 | 0.8510 | 0.8503 | 0.1333 |
59
+ | 6.9155 | 3.0 | 216 | 8.0457 | 0.8549 | 0.8542 | 0.0 |
60
+ | 7.4505 | 4.0 | 288 | 12.3074 | 0.8706 | 0.8706 | 0.0 |
61
+ | 10.0671 | 5.0 | 360 | 9.0296 | 0.8353 | 0.8334 | 0.0 |
62
+ | 8.9089 | 6.0 | 432 | 10.0976 | 0.8275 | 0.8274 | 0.0353 |
63
+ | 6.8576 | 7.0 | 504 | 6.8378 | 0.8824 | 0.8824 | 0.0118 |
64
+ | 5.9407 | 8.0 | 576 | 5.4805 | 0.8588 | 0.8583 | 0.0314 |
65
+ | 5.1865 | 9.0 | 648 | 4.0087 | 0.8745 | 0.8745 | 0.1412 |
66
+ | 3.5606 | 10.0 | 720 | 4.4264 | 0.8549 | 0.8546 | 0.0078 |
67
+ | 3.4944 | 11.0 | 792 | 3.9312 | 0.9098 | 0.9098 | 0.0 |
68
+ | 3.4093 | 12.0 | 864 | 4.0868 | 0.8902 | 0.8902 | 0.0 |
69
+ | 3.3966 | 13.0 | 936 | 3.9650 | 0.8980 | 0.8979 | 0.0 |
70
+ | 3.3191 | 14.0 | 1008 | 4.0058 | 0.8824 | 0.8821 | 0.0 |
71
+ | 3.3156 | 15.0 | 1080 | 4.0279 | 0.8784 | 0.8784 | 0.0 |
72
+ | 3.26 | 16.0 | 1152 | 4.0243 | 0.8902 | 0.8902 | 0.0 |
73
+ | 3.264 | 17.0 | 1224 | 3.9404 | 0.8941 | 0.8941 | 0.0 |
74
+ | 3.2533 | 18.0 | 1296 | 3.8867 | 0.8941 | 0.8941 | 0.0 |
75
+ | 3.2137 | 19.0 | 1368 | 3.8939 | 0.9020 | 0.9020 | 0.0 |
76
+ | 3.2148 | 20.0 | 1440 | 3.9104 | 0.9020 | 0.9020 | 0.0 |
77
+
78
+
79
+ ### Framework versions
80
+
81
+ - Transformers 4.49.0
82
+ - Pytorch 2.7.1+cu126
83
+ - Datasets 4.0.0
84
+ - Tokenizers 0.21.4
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3995b884e50ab01702248759768211341b7abb5bf4063933913df6cf47a6f55a
3
  size 1112220776
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b52d4b25175b8501f8b28204da16798dc4f8cd8ab38ad43eca624616037e9cae
3
  size 1112220776