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prog_integridade_model

Text Classification
Transformers
Safetensors
PyTorch
Portuguese
modernbert
binary-classification
Eval Results (legacy)
text-embeddings-inference
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 Community
vic35get commited on
Commit
5666836
·
verified ·
1 Parent(s): 004662f

Add training curves and assets

Browse files
Files changed (4) hide show
  1. assets/best_epoch_table.md +1 -1
  2. assets/full_metrics_table.md +10 -10
  3. assets/loss_curve.png +0 -0
  4. assets/metrics_curve.png +0 -0
assets/best_epoch_table.md CHANGED
@@ -1,3 +1,3 @@
1
  | epoch | eval_loss | eval_accuracy | eval_precision | eval_recall | eval_f1 | eval_roc_auc | eval_specificity |
2
  |--------:|------------:|----------------:|-----------------:|--------------:|----------:|---------------:|-------------------:|
3
- | 9 | 0.043584 | 0.990654 | 0.990693 | 0.990654 | 0.990652 | 0.999486 | 0.985294 |
 
1
  | epoch | eval_loss | eval_accuracy | eval_precision | eval_recall | eval_f1 | eval_roc_auc | eval_specificity |
2
  |--------:|------------:|----------------:|-----------------:|--------------:|----------:|---------------:|-------------------:|
3
+ | 6 | 0.0275761 | 0.997664 | 0.997675 | 0.997664 | 0.997664 | 0.999956 | 1 |
assets/full_metrics_table.md CHANGED
@@ -1,12 +1,12 @@
1
  | epoch | eval_loss | eval_accuracy | eval_f1 | eval_roc_auc | eval_specificity |
2
  |--------:|------------:|----------------:|----------:|---------------:|-------------------:|
3
- | 1 | 0.151197 | 0.957944 | 0.957959 | 0.994956 | 0.965686 |
4
- | 2 | 0.0504656 | 0.985981 | 0.985969 | 0.998654 | 0.970588 |
5
- | 3 | 0.0681938 | 0.985981 | 0.985969 | 0.998588 | 0.970588 |
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- | 4 | 0.0468312 | 0.990654 | 0.990649 | 0.998961 | 0.980392 |
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- | 5 | 0.0373923 | 0.990654 | 0.990649 | 0.99907 | 0.980392 |
8
- | 6 | 0.0413175 | 0.990654 | 0.990649 | 0.999179 | 0.980392 |
9
- | 7 | 0.0415714 | 0.990654 | 0.990649 | 0.999311 | 0.980392 |
10
- | 8 | 0.0415429 | 0.988318 | 0.988316 | 0.999442 | 0.985294 |
11
- | 9 | 0.043584 | 0.990654 | 0.990652 | 0.999486 | 0.985294 |
12
- | 10 | 0.0377868 | 0.990654 | 0.990652 | 0.999551 | 0.985294 |
 
1
  | epoch | eval_loss | eval_accuracy | eval_f1 | eval_roc_auc | eval_specificity |
2
  |--------:|------------:|----------------:|----------:|---------------:|-------------------:|
3
+ | 1 | 0.188758 | 0.946262 | 0.946277 | 0.997855 | 0.985294 |
4
+ | 2 | 0.0218751 | 0.990654 | 0.990654 | 0.999912 | 0.990196 |
5
+ | 3 | 0.0222455 | 0.992991 | 0.992993 | 0.999869 | 1 |
6
+ | 4 | 0.0971301 | 0.983645 | 0.983653 | 0.999934 | 1 |
7
+ | 5 | 0.0337453 | 0.990654 | 0.990649 | 1 | 0.980392 |
8
+ | 6 | 0.0275761 | 0.997664 | 0.997664 | 0.999956 | 1 |
9
+ | 7 | 0.0167756 | 0.997664 | 0.997664 | 1 | 1 |
10
+ | 8 | 0.0292979 | 0.997664 | 0.997664 | 0.999912 | 1 |
11
+ | 9 | 0.0309485 | 0.997664 | 0.997664 | 0.999912 | 1 |
12
+ | 10 | 0.0248101 | 0.997664 | 0.997664 | 0.999956 | 1 |
assets/loss_curve.png CHANGED
assets/metrics_curve.png CHANGED