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mshenoda
/
roberta-spam

Text Classification
Transformers
PyTorch
Safetensors
English
roberta
Inference Endpoints
Model card Files Community
2
mshenoda commited on
Commit
6986f04
•
1 Parent(s): 0c28a58

Added plots

Browse files
Files changed (14) hide show
  1. plots/confusion_matrix.png +0 -0
  2. plots/evaluate_metrics.txt +4 -0
  3. plots/test_set_distribution.jpg +0 -0
  4. plots/train_losses.txt +10 -0
  5. plots/train_set_distribution.jpg +0 -0
  6. plots/train_validation_loss.jpg +0 -0
  7. plots/val_accuracies.txt +10 -0
  8. plots/val_f1_scores.txt +10 -0
  9. plots/val_losses.txt +10 -0
  10. plots/val_precisions.txt +10 -0
  11. plots/val_recalls.txt +10 -0
  12. plots/val_set_distribution.jpg +0 -0
  13. plots/validation_accuracy.jpg +0 -0
  14. plots/validation_precision_recall.jpg +0 -0
plots/confusion_matrix.png ADDED
plots/evaluate_metrics.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
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+ Accuracy: 0.9906
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+ Precision: 0.9971
3
+ Recall: 0.9934
4
+ F1 Score: 0.9953
plots/test_set_distribution.jpg ADDED
plots/train_losses.txt ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
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+ 0.11079490562241555
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+ 0.03817119520373899
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+ 0.012463655557059031
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+ 0.007619202447094255
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+ 0.005367153772241598
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+ 0.004059059033329212
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+ 0.002393396928800571
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+ 0.0013649824395344915
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+ 0.00037574244409310114
plots/train_set_distribution.jpg ADDED
plots/train_validation_loss.jpg ADDED
plots/val_accuracies.txt ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
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+ 0.9907790344361918
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+ 0.9958642808912896
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+ 0.9983963538149899
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+ 0.99957798784605
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+ 0.9995568872383525
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+ 0.999873396353815
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+ 0.99974679270763
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+ 0.9995146860229575
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+ 0.9999366981769074
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+ 0.999957798784605
plots/val_f1_scores.txt ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
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+ 0.9953681622097152
2
+ 0.9979278555419291
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+ 0.9991975334713012
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+ 0.9997889493900638
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+ 0.9997783945210683
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+ 0.999936694169533
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+ 0.9998733803233022
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+ 0.9997572841147729
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+ 0.9999683480866419
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+ 0.9999788989470575
plots/val_losses.txt ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
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+ 0.03377506204298776
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+ 0.015607017114440963
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+ 0.005994615025463167
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+ 0.0013713277104528685
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+ 0.0014678094177459848
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+ 0.0005342433599496928
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+ 0.0011275661014885257
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+ 0.0027363823080638686
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+ 0.0001856036334957234
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+ 0.00012277685194798154
plots/val_precisions.txt ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
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+ 0.9982779147886726
2
+ 0.9991320363274552
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+ 0.9996408425411446
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+ 0.9998311523849726
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+ 0.9997467446130469
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+ 0.9998944947352872
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+ 0.9999366861532617
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+ 0.9999577800764181
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+ 0.9999577978941149
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+ 0.999957798784605
plots/val_recalls.txt ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ 0.9924753228636046
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+ 0.9967265738843952
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+ 0.998754617414248
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+ 0.9997467499577917
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+ 0.9998100464330941
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+ 0.9999788971658894
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+ 0.999810082508599
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+ 0.9995568685376661
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+ 0.9999788985017937
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+ 1.0
plots/val_set_distribution.jpg ADDED
plots/validation_accuracy.jpg ADDED
plots/validation_precision_recall.jpg ADDED