Hugging Face's logo

mamiksik
/
CommitPredictor

Fill-Mask
Transformers
PyTorch
roberta
Generated from Trainer
Inference Endpoints
Model card Files Community
mamiksik commited on
Commit
b64e56b
·
1 Parent(s): b01190e

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +13 -13
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 [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on the None dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: 0.5343
19
- - Accuracy: 0.8907
20
 
21
  ## Model description
22
 
@@ -35,7 +35,7 @@ More information needed
35
  ### Training hyperparameters
36
 
37
  The following hyperparameters were used during training:
38
- - learning_rate: 1.4577896002135506e-05
39
  - train_batch_size: 8
40
  - eval_batch_size: 8
41
  - seed: 42
@@ -47,16 +47,16 @@ The following hyperparameters were used during training:
47
 
48
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
49
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
50
- | 0.7923 | 1.0 | 2440 | 0.6680 | 0.8628 |
51
- | 0.6992 | 2.0 | 4880 | 0.6148 | 0.8749 |
52
- | 0.6624 | 3.0 | 7320 | 0.5993 | 0.8781 |
53
- | 0.63 | 4.0 | 9760 | 0.5683 | 0.8831 |
54
- | 0.5944 | 5.0 | 12200 | 0.5525 | 0.8868 |
55
- | 0.5886 | 6.0 | 14640 | 0.5470 | 0.8879 |
56
- | 0.5888 | 7.0 | 17080 | 0.5478 | 0.8879 |
57
- | 0.5668 | 8.0 | 19520 | 0.5385 | 0.8889 |
58
- | 0.5714 | 9.0 | 21960 | 0.5390 | 0.8892 |
59
- | 0.5702 | 10.0 | 24400 | 0.5343 | 0.8907 |
60
 
61
 
62
  ### Framework versions
 
15
 
16
  This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on the None dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 0.5037
19
+ - Accuracy: 0.8963
20
 
21
  ## Model description
22
 
 
35
  ### Training hyperparameters
36
 
37
  The following hyperparameters were used during training:
38
+ - learning_rate: 2.722963804424848e-05
39
  - train_batch_size: 8
40
  - eval_batch_size: 8
41
  - seed: 42
 
47
 
48
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
49
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
50
+ | 0.7479 | 1.0 | 2440 | 0.6350 | 0.8715 |
51
+ | 0.6629 | 2.0 | 4880 | 0.5891 | 0.8793 |
52
+ | 0.6252 | 3.0 | 7320 | 0.5720 | 0.8829 |
53
+ | 0.5904 | 4.0 | 9760 | 0.5426 | 0.8883 |
54
+ | 0.5549 | 5.0 | 12200 | 0.5284 | 0.8918 |
55
+ | 0.5456 | 6.0 | 14640 | 0.5212 | 0.8927 |
56
+ | 0.5452 | 7.0 | 17080 | 0.5206 | 0.8933 |
57
+ | 0.5196 | 8.0 | 19520 | 0.5094 | 0.8948 |
58
+ | 0.5193 | 9.0 | 21960 | 0.5078 | 0.8950 |
59
+ | 0.5193 | 10.0 | 24400 | 0.5037 | 0.8963 |
60
 
61
 
62
  ### Framework versions