Hugging Face's logo

dewifaj
/
text-classification-indobert

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Model card Files Community
dewifaj commited on
Commit
0d91ed7
·
verified ·
1 Parent(s): fcde016

End of training

Browse files
Files changed (2) hide show
  1. README.md +15 -10
  2. model.safetensors +1 -1
README.md CHANGED
@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on the None dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: 0.9180
19
- - Balanced Accuracy: 0.7377
20
 
21
  ## Model description
22
 
@@ -36,22 +36,27 @@ More information needed
36
 
37
  The following hyperparameters were used during training:
38
  - learning_rate: 2e-05
39
- - train_batch_size: 8
40
- - eval_batch_size: 8
41
  - seed: 42
42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
43
  - lr_scheduler_type: linear
44
- - num_epochs: 5
45
 
46
  ### Training results
47
 
48
  | Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy |
49
  |:-------------:|:-----:|:----:|:---------------:|:-----------------:|
50
- | 1.4823 | 1.0 | 332 | 1.3360 | 0.4541 |
51
- | 0.96 | 2.0 | 664 | 0.9846 | 0.6874 |
52
- | 0.7089 | 3.0 | 996 | 0.9180 | 0.7377 |
53
- | 0.4465 | 4.0 | 1328 | 0.9194 | 0.7525 |
54
- | 0.3857 | 5.0 | 1660 | 0.9345 | 0.7588 |
 
 
 
 
 
55
 
56
 
57
  ### Framework versions
 
15
 
16
  This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on the None dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 0.9707
19
+ - Balanced Accuracy: 0.7916
20
 
21
  ## Model description
22
 
 
36
 
37
  The following hyperparameters were used during training:
38
  - learning_rate: 2e-05
39
+ - train_batch_size: 16
40
+ - eval_batch_size: 16
41
  - seed: 42
42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
43
  - lr_scheduler_type: linear
44
+ - num_epochs: 10
45
 
46
  ### Training results
47
 
48
  | Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy |
49
  |:-------------:|:-----:|:----:|:---------------:|:-----------------:|
50
+ | 1.7367 | 1.0 | 166 | 1.4765 | 0.4090 |
51
+ | 1.2086 | 2.0 | 332 | 1.0634 | 0.6459 |
52
+ | 0.8858 | 3.0 | 498 | 0.7958 | 0.7412 |
53
+ | 0.715 | 4.0 | 664 | 0.8339 | 0.7167 |
54
+ | 0.358 | 5.0 | 830 | 0.7969 | 0.7732 |
55
+ | 0.4572 | 6.0 | 996 | 0.8822 | 0.7848 |
56
+ | 0.2681 | 7.0 | 1162 | 0.8832 | 0.7730 |
57
+ | 0.1724 | 8.0 | 1328 | 0.9523 | 0.7876 |
58
+ | 0.1618 | 9.0 | 1494 | 0.9707 | 0.7916 |
59
+ | 0.2215 | 10.0 | 1660 | 0.9926 | 0.7887 |
60
 
61
 
62
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:067f941c2b2919f54d3cfab1ba128d45a28771675ab88d597182bb42ba5441be
3
  size 442280976
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4dde67bd285a143e24e9070d6afa98dc8624777777597d4ed33a283b6b5c5fa9
3
  size 442280976