Hugging Face's logo

dnttestmee
/
starclass_bert

TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files
xet
Metrics Community
dnttestmee commited on
Commit
c1f98e0
·
verified ·
1 Parent(s): ea470ee

End of training

Browse files
Files changed (3) hide show
  1. README.md +12 -10
  2. logs/events.out.tfevents.1737435754.PC +2 -2
  3. model.safetensors +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
20
 
21
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 0.3155
24
- - Accuracy: 0.9524
25
- - Precision: 0.9542
26
- - Recall: 0.9524
27
- - F1: 0.9529
28
 
29
  ## Model description
30
 
@@ -43,21 +43,23 @@ More information needed
43
  ### Training hyperparameters
44
 
45
  The following hyperparameters were used during training:
46
- - learning_rate: 5e-05
47
  - train_batch_size: 16
48
  - eval_batch_size: 16
49
  - seed: 42
50
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
51
  - lr_scheduler_type: linear
52
- - num_epochs: 3
53
 
54
  ### Training results
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
57
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
58
- | 1.2284 | 1.0 | 16 | 0.7756 | 0.7619 | 0.7900 | 0.7619 | 0.7351 |
59
- | 0.5657 | 2.0 | 32 | 0.4658 | 0.9206 | 0.9235 | 0.9206 | 0.9207 |
60
- | 0.4123 | 3.0 | 48 | 0.3155 | 0.9524 | 0.9542 | 0.9524 | 0.9529 |
 
 
61
 
62
 
63
  ### Framework versions
 
20
 
21
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 0.3450
24
+ - Accuracy: 0.9206
25
+ - Precision: 0.9242
26
+ - Recall: 0.9206
27
+ - F1: 0.9202
28
 
29
  ## Model description
30
 
 
43
  ### Training hyperparameters
44
 
45
  The following hyperparameters were used during training:
46
+ - learning_rate: 3e-05
47
  - train_batch_size: 16
48
  - eval_batch_size: 16
49
  - seed: 42
50
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
51
  - lr_scheduler_type: linear
52
+ - num_epochs: 5
53
 
54
  ### Training results
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
57
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
58
+ | 1.2965 | 1.0 | 16 | 1.0060 | 0.6190 | 0.7989 | 0.6190 | 0.5413 |
59
+ | 0.8967 | 2.0 | 32 | 0.7731 | 0.8571 | 0.9005 | 0.8571 | 0.8556 |
60
+ | 0.6978 | 3.0 | 48 | 0.5247 | 0.9365 | 0.9382 | 0.9365 | 0.9364 |
61
+ | 0.4319 | 4.0 | 64 | 0.3859 | 0.9365 | 0.9382 | 0.9365 | 0.9364 |
62
+ | 0.3069 | 5.0 | 80 | 0.3450 | 0.9206 | 0.9242 | 0.9206 | 0.9202 |
63
 
64
 
65
  ### Framework versions
logs/events.out.tfevents.1737435754.PC CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e38a67e52295489e90443808344af8e5a8c551073c67cab2adc51a13d1703b0e
3
- size 4618
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d71a4dc06d13bf855ffe09014c4dd18caf9785fa02a0f936102833cab9586325
3
+ size 8359
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a41f0d0ad0893d2d7f4a103a2f187941780a06f76de7e1a08e32b26179c7c2dd
3
  size 437964800
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5ef2738a9c4577fcb4195e3d05bd17d6944c6185a546c71d8dad6348df485c8c
3
  size 437964800