Hugging Face's logo

AAMartinez
/
hate_BERTimbau_v1

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
AAMartinez commited on
Commit
1ccf3d2
•
1 Parent(s): bf93679

End of training

Browse files
Files changed (2) hide show
  1. README.md +10 -11
  2. model.safetensors +1 -1
README.md CHANGED
@@ -1,8 +1,8 @@
1
  ---
2
  license: mit
 
3
  tags:
4
  - generated_from_trainer
5
- base_model: neuralmind/bert-base-portuguese-cased
6
  metrics:
7
  - precision
8
  - recall
@@ -20,10 +20,10 @@ should probably proofread and complete it, then remove this comment. -->
20
 
21
  This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 1.0345
24
- - Precision: 0.7690
25
  - Recall: 0.7690
26
- - F1: 0.7690
27
  - Accuracy: 0.7690
28
 
29
  ## Model description
@@ -49,18 +49,17 @@ The following hyperparameters were used during training:
49
  - seed: 42
50
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
51
  - lr_scheduler_type: linear
52
- - num_epochs: 6
53
 
54
  ### Training results
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
57
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
58
- | 0.5301 | 1.0 | 284 | 0.5012 | 0.7443 | 0.7443 | 0.7443 | 0.7443 |
59
- | 0.4174 | 2.0 | 568 | 0.4574 | 0.7725 | 0.7725 | 0.7725 | 0.7725 |
60
- | 0.2942 | 3.0 | 852 | 0.5691 | 0.7760 | 0.7760 | 0.7760 | 0.7760 |
61
- | 0.1929 | 4.0 | 1136 | 0.7652 | 0.7672 | 0.7672 | 0.7672 | 0.7672 |
62
- | 0.1283 | 5.0 | 1420 | 0.9161 | 0.7601 | 0.7601 | 0.7601 | 0.7601 |
63
- | 0.0966 | 6.0 | 1704 | 1.0345 | 0.7690 | 0.7690 | 0.7690 | 0.7690 |
64
 
65
 
66
  ### Framework versions
 
1
  ---
2
  license: mit
3
+ base_model: neuralmind/bert-base-portuguese-cased
4
  tags:
5
  - generated_from_trainer
 
6
  metrics:
7
  - precision
8
  - recall
 
20
 
21
  This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 1.1389
24
+ - Precision: 0.7715
25
  - Recall: 0.7690
26
+ - F1: 0.7700
27
  - Accuracy: 0.7690
28
 
29
  ## Model description
 
49
  - seed: 42
50
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
51
  - lr_scheduler_type: linear
52
+ - num_epochs: 10
53
 
54
  ### Training results
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
57
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
58
+ | 0.5196 | 1.0 | 284 | 0.4981 | 0.7509 | 0.7566 | 0.7482 | 0.7566 |
59
+ | 0.4019 | 2.0 | 568 | 0.4680 | 0.7923 | 0.7813 | 0.7843 | 0.7813 |
60
+ | 0.2706 | 3.0 | 852 | 0.6745 | 0.7525 | 0.7531 | 0.7355 | 0.7531 |
61
+ | 0.1601 | 4.0 | 1136 | 0.9990 | 0.7632 | 0.7672 | 0.7573 | 0.7672 |
62
+ | 0.0975 | 5.0 | 1420 | 1.1389 | 0.7715 | 0.7690 | 0.7700 | 0.7690 |
 
63
 
64
 
65
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5fe4e60c891380d1dbb04d03edd463c510ff13f2de95d75721782a62fb93a29f
3
  size 435722224
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ebde3ec01839b70be6dedfbe319cab4e63a679997837e59dc5604f3979cb7130
3
  size 435722224