Hugging Face's logo

dtorber
/
bert-base-cased

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files
xet
Metrics Community
dtorber commited on
Commit
6f1950a
·
verified ·
1 Parent(s): 3644f67

Model save

Browse files
Files changed (3) hide show
  1. README.md +16 -20
  2. model.safetensors +1 -1
  3. runs/May16_18-59-34_tardis/events.out.tfevents.1715883962.tardis.5553.1 +3 -0
README.md CHANGED
@@ -18,15 +18,14 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
20
  It achieves the following results on the evaluation set:
21
- - Loss: 0.8345
22
- - F1 Macro: 0.9216
23
- - F1: 0.9508
24
- - F1 Neg: 0.8924
25
- - Acc: 0.9325
26
- - Prec: 0.9321
27
- - Recall: 0.9703
28
- - Mcc: 0.8451
29
- - Millor Epoca: 5
30
 
31
  ## Model description
32
 
@@ -49,23 +48,20 @@ The following hyperparameters were used during training:
49
  - train_batch_size: 8
50
  - eval_batch_size: 8
51
  - seed: 42
52
- - distributed_type: multi-GPU
53
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
54
  - lr_scheduler_type: linear
55
- - num_epochs: 7
56
  - mixed_precision_training: Native AMP
57
 
58
  ### Training results
59
 
60
- | Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 | F1 Neg | Acc | Prec | Recall | Mcc | Millor Epoca |
61
- |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|:------------:|
62
- | 0.2657 | 1.0 | 1698 | 0.3480 | 0.9031 | 0.9370 | 0.8692 | 0.915 | 0.9336 | 0.9405 | 0.8063 | 1 |
63
- | 0.0983 | 2.0 | 3396 | 0.5281 | 0.9039 | 0.9366 | 0.8712 | 0.915 | 0.9401 | 0.9331 | 0.8078 | 2 |
64
- | 0.043 | 3.0 | 5094 | 0.5741 | 0.9016 | 0.9343 | 0.8689 | 0.9125 | 0.9432 | 0.9257 | 0.8036 | 2 |
65
- | 0.0239 | 4.0 | 6792 | 0.8465 | 0.9115 | 0.9460 | 0.8770 | 0.925 | 0.9164 | 0.9777 | 0.8282 | 4 |
66
- | 0.0134 | 5.0 | 8490 | 0.8345 | 0.9216 | 0.9508 | 0.8924 | 0.9325 | 0.9321 | 0.9703 | 0.8451 | 5 |
67
- | 0.0104 | 6.0 | 10188 | 0.9451 | 0.9108 | 0.9431 | 0.8784 | 0.9225 | 0.9312 | 0.9554 | 0.8223 | 5 |
68
- | 0.0 | 7.0 | 11886 | 0.9742 | 0.9081 | 0.9412 | 0.875 | 0.92 | 0.9309 | 0.9517 | 0.8167 | 5 |
69
 
70
 
71
  ### Framework versions
 
18
 
19
  This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 0.6750
22
+ - F1 Macro: 0.9031
23
+ - F1: 0.9370
24
+ - F1 Neg: 0.8692
25
+ - Acc: 0.915
26
+ - Prec: 0.9336
27
+ - Recall: 0.9405
28
+ - Mcc: 0.8063
 
29
 
30
  ## Model description
31
 
 
48
  - train_batch_size: 8
49
  - eval_batch_size: 8
50
  - seed: 42
 
51
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
52
  - lr_scheduler_type: linear
53
+ - num_epochs: 5
54
  - mixed_precision_training: Native AMP
55
 
56
  ### Training results
57
 
58
+ | Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 | F1 Neg | Acc | Prec | Recall | Mcc |
59
+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
60
+ | 0.1886 | 1.0 | 2125 | 0.3952 | 0.8938 | 0.9283 | 0.8593 | 0.905 | 0.9425 | 0.9145 | 0.7884 |
61
+ | 0.0578 | 2.0 | 4250 | 0.6750 | 0.9031 | 0.9370 | 0.8692 | 0.915 | 0.9336 | 0.9405 | 0.8063 |
62
+ | 0.0243 | 3.0 | 6375 | 0.7559 | 0.8922 | 0.9294 | 0.8550 | 0.905 | 0.9294 | 0.9294 | 0.7843 |
63
+ | 0.0084 | 4.0 | 8500 | 0.8553 | 0.9001 | 0.9353 | 0.8649 | 0.9125 | 0.9301 | 0.9405 | 0.8003 |
64
+ | 0.0131 | 5.0 | 10625 | 0.8916 | 0.8974 | 0.9333 | 0.8615 | 0.91 | 0.9299 | 0.9368 | 0.7949 |
 
 
65
 
66
 
67
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:138593f58edfd80848abdd423a4c873a89e117431d1f09790445d5fbe9a9b7b3
3
  size 433270768
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1ba8b955272c25b6f87ffa132ed28ff4113891ebcd326be7e25ec42054d8bafe
3
  size 433270768
runs/May16_18-59-34_tardis/events.out.tfevents.1715883962.tardis.5553.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c743ce2cccd5eb95272c79189fdf7289e490bdfd144c07ca6e933cbdcfb43276
3
+ size 699