Hugging Face's logo

theCuiCoders
/
bert-base-uncased-FinedTuned

Text Classification
Transformers
TensorBoard
Safetensors
Dutch
bert
abc
Generated from Trainer
Model card Files
xet
 Metrics Community
theCuiCoders commited on
Commit
54b8d8f
·
verified ·
1 Parent(s): 357902e

End of training

Browse files
Files changed (3) hide show
  1. README.md +13 -18
  2. events.out.tfevents.1718104401.0a87a89624da.2515.0 +2 -2
  3. model.safetensors +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ should probably proofread and complete it, then remove this comment. -->
22
 
23
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the stsb_multi_mt dataset.
24
  It achieves the following results on the evaluation set:
25
- - Loss: 2.6888
26
  - Accuracy: 0.1762
27
 
28
  ## Model description
@@ -42,7 +42,7 @@ More information needed
42
  ### Training hyperparameters
43
 
44
  The following hyperparameters were used during training:
45
- - learning_rate: 1e-05
46
  - train_batch_size: 16
47
  - eval_batch_size: 16
48
  - seed: 42
@@ -51,28 +51,23 @@ The following hyperparameters were used during training:
51
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
52
  - lr_scheduler_type: linear
53
  - lr_scheduler_warmup_steps: 1000
54
- - training_steps: 15000
55
  - mixed_precision_training: Native AMP
56
 
57
  ### Training results
58
 
59
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
60
  |:-------------:|:-------:|:-----:|:---------------:|:--------:|
61
- | 0.1203 | 5.5556 | 1000 | 2.7894 | 0.1762 |
62
- | 0.089 | 11.1111 | 2000 | 2.7816 | 0.1762 |
63
- | 0.095 | 16.6667 | 3000 | 2.7732 | 0.1762 |
64
- | 0.0818 | 22.2222 | 4000 | 2.7201 | 0.1762 |
65
- | 0.0786 | 27.7778 | 5000 | 2.6378 | 0.1762 |
66
- | 0.0816 | 33.3333 | 6000 | 2.7167 | 0.1762 |
67
- | 0.0795 | 38.8889 | 7000 | 2.6429 | 0.1762 |
68
- | 0.0978 | 44.4444 | 8000 | 2.6964 | 0.1762 |
69
- | 0.1006 | 50.0 | 9000 | 2.7168 | 0.1762 |
70
- | 0.171 | 55.5556 | 10000 | 2.7183 | 0.1762 |
71
- | 0.1185 | 61.1111 | 11000 | 2.6737 | 0.1762 |
72
- | 0.1648 | 66.6667 | 12000 | 2.6573 | 0.1762 |
73
- | 0.1365 | 72.2222 | 13000 | 2.6944 | 0.1762 |
74
- | 0.1298 | 77.7778 | 14000 | 2.6950 | 0.1762 |
75
- | 0.1832 | 83.3333 | 15000 | 2.6888 | 0.1762 |
76
 
77
 
78
  ### Framework versions
 
22
 
23
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the stsb_multi_mt dataset.
24
  It achieves the following results on the evaluation set:
25
+ - Loss: 2.7821
26
  - Accuracy: 0.1762
27
 
28
  ## Model description
 
42
  ### Training hyperparameters
43
 
44
  The following hyperparameters were used during training:
45
+ - learning_rate: 5e-05
46
  - train_batch_size: 16
47
  - eval_batch_size: 16
48
  - seed: 42
 
51
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
52
  - lr_scheduler_type: linear
53
  - lr_scheduler_warmup_steps: 1000
54
+ - training_steps: 10000
55
  - mixed_precision_training: Native AMP
56
 
57
  ### Training results
58
 
59
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
60
  |:-------------:|:-------:|:-----:|:---------------:|:--------:|
61
+ | 0.2457 | 5.5556 | 1000 | 2.4913 | 0.1762 |
62
+ | 0.1759 | 11.1111 | 2000 | 2.8424 | 0.1762 |
63
+ | 0.1458 | 16.6667 | 3000 | 2.9765 | 0.1762 |
64
+ | 0.1132 | 22.2222 | 4000 | 2.7163 | 0.1762 |
65
+ | 0.1118 | 27.7778 | 5000 | 2.7272 | 0.1762 |
66
+ | 0.1272 | 33.3333 | 6000 | 2.8354 | 0.1762 |
67
+ | 0.1233 | 38.8889 | 7000 | 2.6948 | 0.1762 |
68
+ | 0.1161 | 44.4444 | 8000 | 2.7358 | 0.1762 |
69
+ | 0.0736 | 50.0 | 9000 | 2.7748 | 0.1762 |
70
+ | 0.0924 | 55.5556 | 10000 | 2.7821 | 0.1762 |
 
 
 
 
 
71
 
72
 
73
  ### Framework versions
events.out.tfevents.1718104401.0a87a89624da.2515.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:040da921e2ca2260db51358d1ec43a6c79237919b9066943ad922e3234b7353b
3
- size 92617
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:23856aed84dcb208cdcac1fccee8bd458bae55bdeb6793d8d225716e1db93d96
3
+ size 92971
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6c963a77d94b148090ee34cb2f024f770d3ff0d0f22267b9bd09bd6c79963e97
3
  size 437955572
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a3f253a019837f44ba24ab10ac80ec76f2c7a67ef97f0a4d09399b1402c4965f
3
  size 437955572