djsull commited on
Commit
572390e
1 Parent(s): 2396afd

djsull/aha_class_v1

Browse files
README.md CHANGED
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.0020
21
  - F1: 1.0
22
  - Roc Auc: 1.0
23
  - Accuracy: 1.0
@@ -45,27 +45,20 @@ The following hyperparameters were used during training:
45
  - seed: 42
46
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
  - lr_scheduler_type: linear
48
- - num_epochs: 15
49
 
50
  ### Training results
51
 
52
  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
53
  |:-------------:|:-----:|:----:|:---------------:|:---:|:-------:|:--------:|
54
- | No log | 1.0 | 35 | 0.0594 | 1.0 | 1.0 | 1.0 |
55
- | No log | 2.0 | 70 | 0.0186 | 1.0 | 1.0 | 1.0 |
56
- | No log | 3.0 | 105 | 0.0108 | 1.0 | 1.0 | 1.0 |
57
- | No log | 4.0 | 140 | 0.0075 | 1.0 | 1.0 | 1.0 |
58
- | No log | 5.0 | 175 | 0.0057 | 1.0 | 1.0 | 1.0 |
59
- | No log | 6.0 | 210 | 0.0044 | 1.0 | 1.0 | 1.0 |
60
- | No log | 7.0 | 245 | 0.0036 | 1.0 | 1.0 | 1.0 |
61
- | No log | 8.0 | 280 | 0.0031 | 1.0 | 1.0 | 1.0 |
62
- | No log | 9.0 | 315 | 0.0027 | 1.0 | 1.0 | 1.0 |
63
- | No log | 10.0 | 350 | 0.0025 | 1.0 | 1.0 | 1.0 |
64
- | No log | 11.0 | 385 | 0.0023 | 1.0 | 1.0 | 1.0 |
65
- | No log | 12.0 | 420 | 0.0021 | 1.0 | 1.0 | 1.0 |
66
- | No log | 13.0 | 455 | 0.0020 | 1.0 | 1.0 | 1.0 |
67
- | No log | 14.0 | 490 | 0.0020 | 1.0 | 1.0 | 1.0 |
68
- | 0.0393 | 15.0 | 525 | 0.0020 | 1.0 | 1.0 | 1.0 |
69
 
70
 
71
  ### Framework versions
 
17
 
18
  This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.0040
21
  - F1: 1.0
22
  - Roc Auc: 1.0
23
  - Accuracy: 1.0
 
45
  - seed: 42
46
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
  - lr_scheduler_type: linear
48
+ - num_epochs: 8
49
 
50
  ### Training results
51
 
52
  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
53
  |:-------------:|:-----:|:----:|:---------------:|:---:|:-------:|:--------:|
54
+ | No log | 1.0 | 35 | 0.0529 | 1.0 | 1.0 | 1.0 |
55
+ | No log | 2.0 | 70 | 0.0152 | 1.0 | 1.0 | 1.0 |
56
+ | No log | 3.0 | 105 | 0.0090 | 1.0 | 1.0 | 1.0 |
57
+ | No log | 4.0 | 140 | 0.0065 | 1.0 | 1.0 | 1.0 |
58
+ | No log | 5.0 | 175 | 0.0052 | 1.0 | 1.0 | 1.0 |
59
+ | No log | 6.0 | 210 | 0.0045 | 1.0 | 1.0 | 1.0 |
60
+ | No log | 7.0 | 245 | 0.0041 | 1.0 | 1.0 | 1.0 |
61
+ | No log | 8.0 | 280 | 0.0040 | 1.0 | 1.0 | 1.0 |
 
 
 
 
 
 
 
62
 
63
 
64
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4d77bf4d10f05f806d2b179658705e51a0a5be9ee74b7ee1014617cfd17e8c82
3
  size 442502744
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:50ec09a3cee20bcd1564d30aee0209b21bf3cfb7a31cc9623b6a850d5a8cc2af
3
  size 442502744
runs/Oct01_06-52-39_129-146-79-76/events.out.tfevents.1727765559.129-146-79-76.1534557.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d16ad56d7ffca47afe0f78bf3850901f6515456fb165aecbbbed3ab9da64161d
3
+ size 8762
runs/Oct01_06-52-39_129-146-79-76/events.out.tfevents.1727768375.129-146-79-76.1534557.3 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6230cf5866a3de720b9b01ada68a9ff27f58e6e1909f31556e24438c60575d26
3
+ size 508
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9757a89d0ece1c59df87a72ae3722120a630339878d3532abd88f07cb7378fb9
3
  size 5112
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6ebb4a3732b11051ff4a71de98bf8411484b02851f79cc871b7c314a3760e0c1
3
  size 5112