Hugging Face's logo

ryantaw
/
bert-small-finetuned

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
ryantaw commited on
Commit
bb73c8a
•
1 Parent(s): 66697ff

End of training

Browse files
Files changed (4) hide show
  1. README.md +37 -17
  2. model.safetensors +1 -1
  3. runs/Nov09_08-51-26_6665d88e9b9d/events.out.tfevents.1699519891.6665d88e9b9d.586.0 +2 -2
  4. runs/Nov09_08-51-26_6665d88e9b9d/events.out.tfevents.1699520956.6665d88e9b9d.586.1 +3 -0
README.md CHANGED
@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [prajjwal1/bert-small](https://huggingface.co/prajjwal1/bert-small) on the None dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.9943
21
- - Accuracy: 0.5822
22
- - F1 Score: 0.5820
23
 
24
  ## Model description
25
 
@@ -38,28 +38,48 @@ More information needed
38
  ### Training hyperparameters
39
 
40
  The following hyperparameters were used during training:
41
- - learning_rate: 1.0136026165598675e-05
42
- - train_batch_size: 8
43
- - eval_batch_size: 8
44
  - seed: 42
45
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
46
  - lr_scheduler_type: linear
47
- - num_epochs: 10
48
 
49
  ### Training results
50
 
51
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score |
52
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
53
- | No log | 1.0 | 186 | 1.1631 | 0.4636 | 0.4346 |
54
- | No log | 2.0 | 372 | 1.0563 | 0.5553 | 0.5558 |
55
- | 1.1271 | 3.0 | 558 | 1.0238 | 0.5633 | 0.5629 |
56
- | 1.1271 | 4.0 | 744 | 0.9990 | 0.5795 | 0.5786 |
57
- | 1.1271 | 5.0 | 930 | 0.9943 | 0.5822 | 0.5820 |
58
- | 0.8392 | 6.0 | 1116 | 1.0389 | 0.5741 | 0.5692 |
59
- | 0.8392 | 7.0 | 1302 | 1.0114 | 0.5768 | 0.5759 |
60
- | 0.8392 | 8.0 | 1488 | 1.0277 | 0.5741 | 0.5702 |
61
- | 0.692 | 9.0 | 1674 | 1.0246 | 0.5822 | 0.5799 |
62
- | 0.692 | 10.0 | 1860 | 1.0241 | 0.5822 | 0.5797 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
63
 
64
 
65
  ### Framework versions
 
17
 
18
  This model is a fine-tuned version of [prajjwal1/bert-small](https://huggingface.co/prajjwal1/bert-small) on the None dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.9941
21
+ - Accuracy: 0.5903
22
+ - F1 Score: 0.5865
23
 
24
  ## Model description
25
 
 
38
  ### Training hyperparameters
39
 
40
  The following hyperparameters were used during training:
41
+ - learning_rate: 2e-05
42
+ - train_batch_size: 64
43
+ - eval_batch_size: 64
44
  - seed: 42
45
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
46
  - lr_scheduler_type: linear
47
+ - num_epochs: 30
48
 
49
  ### Training results
50
 
51
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score |
52
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
53
+ | No log | 1.0 | 24 | 1.2145 | 0.4933 | 0.4701 |
54
+ | No log | 2.0 | 48 | 1.0960 | 0.5391 | 0.5365 |
55
+ | No log | 3.0 | 72 | 1.0569 | 0.5768 | 0.5791 |
56
+ | No log | 4.0 | 96 | 1.0052 | 0.5714 | 0.5698 |
57
+ | No log | 5.0 | 120 | 0.9889 | 0.5714 | 0.5702 |
58
+ | No log | 6.0 | 144 | 0.9932 | 0.5795 | 0.5772 |
59
+ | No log | 7.0 | 168 | 0.9841 | 0.5714 | 0.5680 |
60
+ | No log | 8.0 | 192 | 0.9941 | 0.5903 | 0.5865 |
61
+ | No log | 9.0 | 216 | 0.9788 | 0.5903 | 0.5891 |
62
+ | No log | 10.0 | 240 | 1.0105 | 0.5660 | 0.5617 |
63
+ | No log | 11.0 | 264 | 1.0473 | 0.5526 | 0.5464 |
64
+ | No log | 12.0 | 288 | 1.0272 | 0.5714 | 0.5685 |
65
+ | No log | 13.0 | 312 | 1.0627 | 0.5499 | 0.5492 |
66
+ | No log | 14.0 | 336 | 1.0428 | 0.5795 | 0.5782 |
67
+ | No log | 15.0 | 360 | 1.0644 | 0.5633 | 0.5625 |
68
+ | No log | 16.0 | 384 | 1.1463 | 0.5364 | 0.5261 |
69
+ | No log | 17.0 | 408 | 1.1109 | 0.5714 | 0.5689 |
70
+ | No log | 18.0 | 432 | 1.1260 | 0.5741 | 0.5739 |
71
+ | No log | 19.0 | 456 | 1.1793 | 0.5580 | 0.5533 |
72
+ | No log | 20.0 | 480 | 1.1968 | 0.5580 | 0.5535 |
73
+ | 0.6103 | 21.0 | 504 | 1.1961 | 0.5741 | 0.5722 |
74
+ | 0.6103 | 22.0 | 528 | 1.2399 | 0.5553 | 0.5504 |
75
+ | 0.6103 | 23.0 | 552 | 1.2642 | 0.5526 | 0.5473 |
76
+ | 0.6103 | 24.0 | 576 | 1.2530 | 0.5660 | 0.5625 |
77
+ | 0.6103 | 25.0 | 600 | 1.2637 | 0.5714 | 0.5687 |
78
+ | 0.6103 | 26.0 | 624 | 1.3012 | 0.5526 | 0.5468 |
79
+ | 0.6103 | 27.0 | 648 | 1.2932 | 0.5606 | 0.5579 |
80
+ | 0.6103 | 28.0 | 672 | 1.2888 | 0.5687 | 0.5664 |
81
+ | 0.6103 | 29.0 | 696 | 1.3087 | 0.5660 | 0.5634 |
82
+ | 0.6103 | 30.0 | 720 | 1.3073 | 0.5714 | 0.5687 |
83
 
84
 
85
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:dc8cf347d3d9123a0e164ba3f3c1a26834fc8300b29986ed5183e7e03dead86d
3
  size 115071152
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ad734bab375087fd03c678a63cd68d97084742b3a465827f0cd63fb5dab9946c
3
  size 115071152
runs/Nov09_08-51-26_6665d88e9b9d/events.out.tfevents.1699519891.6665d88e9b9d.586.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:776498fb57a759312b18d8721ca884984d5fc7d107b720e501b0f7e0d9dce198
3
- size 15328
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8b3fbd76b70180d1ceb52c7ee7c68ea384727c2ba554b5ef0a74be0ad5819ea8
3
+ size 16057
runs/Nov09_08-51-26_6665d88e9b9d/events.out.tfevents.1699520956.6665d88e9b9d.586.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:45a2eb75aa1f0b1f7a28d1b1d1f92913ed29371e1c1b3bd93a8ac439ef5ff718
3
+ size 463