Hugging Face's logo

azmina
/
ia-feminista-bert-tema

Text Classification
Transformers
Safetensors
Portuguese
bert
congresso
direito
politica
Inference Endpoints
Model card Files Community
belisards commited on
Commit
6872daa
•
1 Parent(s): a8e4787

ia_feminista_tema

Browse files
Files changed (3) hide show
  1. README.md +7 -16
  2. model.safetensors +1 -1
  3. training_args.bin +2 -2
README.md CHANGED
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
21
 
22
  This model is a fine-tuned version of [belisards/congretimbau3](https://huggingface.co/belisards/congretimbau3) on the None dataset.
23
  It achieves the following results on the evaluation set:
24
- - Loss: 0.6549
25
- - Accuracy: 0.7857
26
- - F1: 0.7762
27
- - Recall: 0.7635
28
- - Precision: 0.8003
29
 
30
  ## Model description
31
 
@@ -50,20 +50,11 @@ The following hyperparameters were used during training:
50
  - seed: 5151
51
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
52
  - lr_scheduler_type: linear
53
- - lr_scheduler_warmup_steps: 100
54
- - num_epochs: 10
55
 
56
  ### Training results
57
 
58
- | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision |
59
- |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
60
- | 1.8909 | 1.4286 | 50 | 1.8932 | 0.3214 | 0.0541 | 0.1111 | 0.0357 |
61
- | 1.2159 | 2.8571 | 100 | 1.1457 | 0.6786 | 0.5282 | 0.5134 | 0.6288 |
62
- | 0.4356 | 4.2857 | 150 | 0.6699 | 0.7857 | 0.7612 | 0.7466 | 0.8026 |
63
- | 0.2795 | 5.7143 | 200 | 0.5790 | 0.7857 | 0.7803 | 0.7777 | 0.7890 |
64
- | 0.1434 | 7.1429 | 250 | 0.6343 | 0.7679 | 0.7257 | 0.7028 | 0.7958 |
65
- | 0.0907 | 8.5714 | 300 | 0.6382 | 0.7946 | 0.7561 | 0.7409 | 0.8181 |
66
- | 0.056 | 10.0 | 350 | 0.6453 | 0.8036 | 0.7874 | 0.7770 | 0.8175 |
67
 
68
 
69
  ### Framework versions
 
21
 
22
  This model is a fine-tuned version of [belisards/congretimbau3](https://huggingface.co/belisards/congretimbau3) on the None dataset.
23
  It achieves the following results on the evaluation set:
24
+ - Loss: 0.5892
25
+ - Accuracy: 0.8155
26
+ - F1: 0.7939
27
+ - Recall: 0.7935
28
+ - Precision: 0.8063
29
 
30
  ## Model description
31
 
 
50
  - seed: 5151
51
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
52
  - lr_scheduler_type: linear
53
+ - lr_scheduler_warmup_steps: 50
54
+ - num_epochs: 8
55
 
56
  ### Training results
57
 
 
 
 
 
 
 
 
 
 
58
 
59
 
60
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5771ea19ecef8b5c60c936209d5117917bb8b6870c4ed223e0f2325597187273
3
  size 1337669572
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:250f79a3ee75c0f1343ac953055377744c68efe038f05dea67eb5276696ec117
3
  size 1337669572
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4797d5bf6b58135626b4722c2d423f9e9724462cd0b4e8f75b6786dbd5a72964
3
- size 5240
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:31320472425aaf4e0033e39491fae39a7988784865d4fd60596fb1d75a3b6b40
3
+ size 5304