Hugging Face's logo

praneethvasarla
/
med-bert

Token Classification
Transformers
Safetensors
bert
Generated from Trainer
Model card Files
xet
 Community
praneethvasarla commited on
Commit
a60865f
·
1 Parent(s): d6869d6

End of training

Browse files
Files changed (2) hide show
  1. README.md +29 -29
  2. model.safetensors +1 -1
README.md CHANGED
@@ -20,12 +20,12 @@ should probably proofread and complete it, then remove this comment. -->
20
 
21
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 0.7354
24
- - Precision: 0.0
25
- - Recall: 0.0
26
- - F1: 0.0
27
- - Accuracy: 0.7842
28
- - All Metrics: {'MedicalCondition': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 16}, 'overall_precision': 0.0, 'overall_recall': 0.0, 'overall_f1': 0.0, 'overall_accuracy': 0.7842031029619182}
29
 
30
  ## Model description
31
 
@@ -44,7 +44,7 @@ More information needed
44
  ### Training hyperparameters
45
 
46
  The following hyperparameters were used during training:
47
- - learning_rate: 1e-05
48
  - train_batch_size: 8
49
  - eval_batch_size: 8
50
  - seed: 42
@@ -54,28 +54,28 @@ The following hyperparameters were used during training:
54
 
55
  ### Training results
56
 
57
- | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | All Metrics |
58
- |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
59
- | No log | 1.0 | 3 | 1.7511 | 0.0043 | 0.0159 | 0.0067 | 0.3893 | {'MedicalCondition': {'precision': 0.007194244604316547, 'recall': 0.02857142857142857, 'f1': 0.011494252873563218, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 16}, 'overall_precision': 0.004273504273504274, 'overall_recall': 0.015873015873015872, 'overall_f1': 0.006734006734006735, 'overall_accuracy': 0.38928067700987307} |
60
- | No log | 2.0 | 6 | 1.4646 | 0.0 | 0.0 | 0.0 | 0.7236 | {'MedicalCondition': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 16}, 'overall_precision': 0.0, 'overall_recall': 0.0, 'overall_f1': 0.0, 'overall_accuracy': 0.7235543018335684} |
61
- | No log | 3.0 | 9 | 1.2387 | 0.0 | 0.0 | 0.0 | 0.7757 | {'MedicalCondition': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 16}, 'overall_precision': 0.0, 'overall_recall': 0.0, 'overall_f1': 0.0, 'overall_accuracy': 0.7757404795486601} |
62
- | No log | 4.0 | 12 | 1.0803 | 0.0 | 0.0 | 0.0 | 0.7772 | {'MedicalCondition': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 16}, 'overall_precision': 0.0, 'overall_recall': 0.0, 'overall_f1': 0.0, 'overall_accuracy': 0.7771509167842031} |
63
- | No log | 5.0 | 15 | 0.9773 | 0.0 | 0.0 | 0.0 | 0.7772 | {'MedicalCondition': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 16}, 'overall_precision': 0.0, 'overall_recall': 0.0, 'overall_f1': 0.0, 'overall_accuracy': 0.7771509167842031} |
64
- | No log | 6.0 | 18 | 0.9213 | 0.0 | 0.0 | 0.0 | 0.7772 | {'MedicalCondition': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 16}, 'overall_precision': 0.0, 'overall_recall': 0.0, 'overall_f1': 0.0, 'overall_accuracy': 0.7771509167842031} |
65
- | No log | 7.0 | 21 | 0.8886 | 0.0 | 0.0 | 0.0 | 0.7772 | {'MedicalCondition': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 16}, 'overall_precision': 0.0, 'overall_recall': 0.0, 'overall_f1': 0.0, 'overall_accuracy': 0.7771509167842031} |
66
- | No log | 8.0 | 24 | 0.8647 | 0.0 | 0.0 | 0.0 | 0.7772 | {'MedicalCondition': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 16}, 'overall_precision': 0.0, 'overall_recall': 0.0, 'overall_f1': 0.0, 'overall_accuracy': 0.7771509167842031} |
67
- | No log | 9.0 | 27 | 0.8448 | 0.0 | 0.0 | 0.0 | 0.7772 | {'MedicalCondition': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 16}, 'overall_precision': 0.0, 'overall_recall': 0.0, 'overall_f1': 0.0, 'overall_accuracy': 0.7771509167842031} |
68
- | No log | 10.0 | 30 | 0.8251 | 0.0 | 0.0 | 0.0 | 0.7772 | {'MedicalCondition': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 16}, 'overall_precision': 0.0, 'overall_recall': 0.0, 'overall_f1': 0.0, 'overall_accuracy': 0.7771509167842031} |
69
- | No log | 11.0 | 33 | 0.8065 | 0.0 | 0.0 | 0.0 | 0.7772 | {'MedicalCondition': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 16}, 'overall_precision': 0.0, 'overall_recall': 0.0, 'overall_f1': 0.0, 'overall_accuracy': 0.7771509167842031} |
70
- | No log | 12.0 | 36 | 0.7892 | 0.0 | 0.0 | 0.0 | 0.7786 | {'MedicalCondition': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 16}, 'overall_precision': 0.0, 'overall_recall': 0.0, 'overall_f1': 0.0, 'overall_accuracy': 0.7785613540197461} |
71
- | No log | 13.0 | 39 | 0.7753 | 0.0 | 0.0 | 0.0 | 0.7800 | {'MedicalCondition': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 16}, 'overall_precision': 0.0, 'overall_recall': 0.0, 'overall_f1': 0.0, 'overall_accuracy': 0.7799717912552891} |
72
- | No log | 14.0 | 42 | 0.7640 | 0.0 | 0.0 | 0.0 | 0.7828 | {'MedicalCondition': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 16}, 'overall_precision': 0.0, 'overall_recall': 0.0, 'overall_f1': 0.0, 'overall_accuracy': 0.7827926657263752} |
73
- | No log | 15.0 | 45 | 0.7549 | 0.0 | 0.0 | 0.0 | 0.7842 | {'MedicalCondition': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 16}, 'overall_precision': 0.0, 'overall_recall': 0.0, 'overall_f1': 0.0, 'overall_accuracy': 0.7842031029619182} |
74
- | No log | 16.0 | 48 | 0.7475 | 0.0 | 0.0 | 0.0 | 0.7842 | {'MedicalCondition': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 16}, 'overall_precision': 0.0, 'overall_recall': 0.0, 'overall_f1': 0.0, 'overall_accuracy': 0.7842031029619182} |
75
- | No log | 17.0 | 51 | 0.7420 | 0.0 | 0.0 | 0.0 | 0.7842 | {'MedicalCondition': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 16}, 'overall_precision': 0.0, 'overall_recall': 0.0, 'overall_f1': 0.0, 'overall_accuracy': 0.7842031029619182} |
76
- | No log | 18.0 | 54 | 0.7382 | 0.0 | 0.0 | 0.0 | 0.7842 | {'MedicalCondition': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 16}, 'overall_precision': 0.0, 'overall_recall': 0.0, 'overall_f1': 0.0, 'overall_accuracy': 0.7842031029619182} |
77
- | No log | 19.0 | 57 | 0.7362 | 0.0 | 0.0 | 0.0 | 0.7842 | {'MedicalCondition': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 16}, 'overall_precision': 0.0, 'overall_recall': 0.0, 'overall_f1': 0.0, 'overall_accuracy': 0.7842031029619182} |
78
- | No log | 20.0 | 60 | 0.7354 | 0.0 | 0.0 | 0.0 | 0.7842 | {'MedicalCondition': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 16}, 'overall_precision': 0.0, 'overall_recall': 0.0, 'overall_f1': 0.0, 'overall_accuracy': 0.7842031029619182} |
79
 
80
 
81
  ### Framework versions
 
20
 
21
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 1.9379
24
+ - Precision: 0.0128
25
+ - Recall: 0.0794
26
+ - F1: 0.0221
27
+ - Accuracy: 0.1707
28
+ - All Metrics: {'MedicalCondition': {'precision': 0.011428571428571429, 'recall': 0.05714285714285714, 'f1': 0.019047619047619046, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.03125, 'recall': 0.1875, 'f1': 0.05357142857142857, 'number': 16}, 'overall_precision': 0.01282051282051282, 'overall_recall': 0.07936507936507936, 'overall_f1': 0.02207505518763797, 'overall_accuracy': 0.17066290550070523}
29
 
30
  ## Model description
31
 
 
44
  ### Training hyperparameters
45
 
46
  The following hyperparameters were used during training:
47
+ - learning_rate: 1e-08
48
  - train_batch_size: 8
49
  - eval_batch_size: 8
50
  - seed: 42
 
54
 
55
  ### Training results
56
 
57
+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | All Metrics |
58
+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
59
+ | No log | 1.0 | 3 | 1.9408 | 0.0128 | 0.0794 | 0.0220 | 0.1693 | {'MedicalCondition': {'precision': 0.011428571428571429, 'recall': 0.05714285714285714, 'f1': 0.019047619047619046, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.030927835051546393, 'recall': 0.1875, 'f1': 0.05309734513274336, 'number': 16}, 'overall_precision': 0.01278772378516624, 'overall_recall': 0.07936507936507936, 'overall_f1': 0.02202643171806167, 'overall_accuracy': 0.1692524682651622} |
60
+ | No log | 2.0 | 6 | 1.9405 | 0.0128 | 0.0794 | 0.0220 | 0.1693 | {'MedicalCondition': {'precision': 0.011428571428571429, 'recall': 0.05714285714285714, 'f1': 0.019047619047619046, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.030927835051546393, 'recall': 0.1875, 'f1': 0.05309734513274336, 'number': 16}, 'overall_precision': 0.01278772378516624, 'overall_recall': 0.07936507936507936, 'overall_f1': 0.02202643171806167, 'overall_accuracy': 0.1692524682651622} |
61
+ | No log | 3.0 | 9 | 1.9402 | 0.0128 | 0.0794 | 0.0220 | 0.1693 | {'MedicalCondition': {'precision': 0.011428571428571429, 'recall': 0.05714285714285714, 'f1': 0.019047619047619046, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.030927835051546393, 'recall': 0.1875, 'f1': 0.05309734513274336, 'number': 16}, 'overall_precision': 0.01278772378516624, 'overall_recall': 0.07936507936507936, 'overall_f1': 0.02202643171806167, 'overall_accuracy': 0.1692524682651622} |
62
+ | No log | 4.0 | 12 | 1.9400 | 0.0128 | 0.0794 | 0.0220 | 0.1693 | {'MedicalCondition': {'precision': 0.011428571428571429, 'recall': 0.05714285714285714, 'f1': 0.019047619047619046, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.030927835051546393, 'recall': 0.1875, 'f1': 0.05309734513274336, 'number': 16}, 'overall_precision': 0.01278772378516624, 'overall_recall': 0.07936507936507936, 'overall_f1': 0.02202643171806167, 'overall_accuracy': 0.1692524682651622} |
63
+ | No log | 5.0 | 15 | 1.9397 | 0.0128 | 0.0794 | 0.0220 | 0.1693 | {'MedicalCondition': {'precision': 0.011428571428571429, 'recall': 0.05714285714285714, 'f1': 0.019047619047619046, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.030927835051546393, 'recall': 0.1875, 'f1': 0.05309734513274336, 'number': 16}, 'overall_precision': 0.01278772378516624, 'overall_recall': 0.07936507936507936, 'overall_f1': 0.02202643171806167, 'overall_accuracy': 0.1692524682651622} |
64
+ | No log | 6.0 | 18 | 1.9395 | 0.0128 | 0.0794 | 0.0220 | 0.1693 | {'MedicalCondition': {'precision': 0.011428571428571429, 'recall': 0.05714285714285714, 'f1': 0.019047619047619046, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.030927835051546393, 'recall': 0.1875, 'f1': 0.05309734513274336, 'number': 16}, 'overall_precision': 0.01278772378516624, 'overall_recall': 0.07936507936507936, 'overall_f1': 0.02202643171806167, 'overall_accuracy': 0.1692524682651622} |
65
+ | No log | 7.0 | 21 | 1.9392 | 0.0128 | 0.0794 | 0.0220 | 0.1693 | {'MedicalCondition': {'precision': 0.011428571428571429, 'recall': 0.05714285714285714, 'f1': 0.019047619047619046, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.030927835051546393, 'recall': 0.1875, 'f1': 0.05309734513274336, 'number': 16}, 'overall_precision': 0.01278772378516624, 'overall_recall': 0.07936507936507936, 'overall_f1': 0.02202643171806167, 'overall_accuracy': 0.1692524682651622} |
66
+ | No log | 8.0 | 24 | 1.9390 | 0.0128 | 0.0794 | 0.0221 | 0.1707 | {'MedicalCondition': {'precision': 0.011428571428571429, 'recall': 0.05714285714285714, 'f1': 0.019047619047619046, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.03125, 'recall': 0.1875, 'f1': 0.05357142857142857, 'number': 16}, 'overall_precision': 0.01282051282051282, 'overall_recall': 0.07936507936507936, 'overall_f1': 0.02207505518763797, 'overall_accuracy': 0.17066290550070523} |
67
+ | No log | 9.0 | 27 | 1.9388 | 0.0128 | 0.0794 | 0.0221 | 0.1707 | {'MedicalCondition': {'precision': 0.011428571428571429, 'recall': 0.05714285714285714, 'f1': 0.019047619047619046, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.03125, 'recall': 0.1875, 'f1': 0.05357142857142857, 'number': 16}, 'overall_precision': 0.01282051282051282, 'overall_recall': 0.07936507936507936, 'overall_f1': 0.02207505518763797, 'overall_accuracy': 0.17066290550070523} |
68
+ | No log | 10.0 | 30 | 1.9387 | 0.0128 | 0.0794 | 0.0221 | 0.1707 | {'MedicalCondition': {'precision': 0.011428571428571429, 'recall': 0.05714285714285714, 'f1': 0.019047619047619046, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.03125, 'recall': 0.1875, 'f1': 0.05357142857142857, 'number': 16}, 'overall_precision': 0.01282051282051282, 'overall_recall': 0.07936507936507936, 'overall_f1': 0.02207505518763797, 'overall_accuracy': 0.17066290550070523} |
69
+ | No log | 11.0 | 33 | 1.9385 | 0.0128 | 0.0794 | 0.0221 | 0.1707 | {'MedicalCondition': {'precision': 0.011428571428571429, 'recall': 0.05714285714285714, 'f1': 0.019047619047619046, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.03125, 'recall': 0.1875, 'f1': 0.05357142857142857, 'number': 16}, 'overall_precision': 0.01282051282051282, 'overall_recall': 0.07936507936507936, 'overall_f1': 0.02207505518763797, 'overall_accuracy': 0.17066290550070523} |
70
+ | No log | 12.0 | 36 | 1.9384 | 0.0128 | 0.0794 | 0.0221 | 0.1707 | {'MedicalCondition': {'precision': 0.011428571428571429, 'recall': 0.05714285714285714, 'f1': 0.019047619047619046, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.03125, 'recall': 0.1875, 'f1': 0.05357142857142857, 'number': 16}, 'overall_precision': 0.01282051282051282, 'overall_recall': 0.07936507936507936, 'overall_f1': 0.02207505518763797, 'overall_accuracy': 0.17066290550070523} |
71
+ | No log | 13.0 | 39 | 1.9383 | 0.0128 | 0.0794 | 0.0221 | 0.1707 | {'MedicalCondition': {'precision': 0.011428571428571429, 'recall': 0.05714285714285714, 'f1': 0.019047619047619046, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.03125, 'recall': 0.1875, 'f1': 0.05357142857142857, 'number': 16}, 'overall_precision': 0.01282051282051282, 'overall_recall': 0.07936507936507936, 'overall_f1': 0.02207505518763797, 'overall_accuracy': 0.17066290550070523} |
72
+ | No log | 14.0 | 42 | 1.9382 | 0.0128 | 0.0794 | 0.0221 | 0.1707 | {'MedicalCondition': {'precision': 0.011428571428571429, 'recall': 0.05714285714285714, 'f1': 0.019047619047619046, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.03125, 'recall': 0.1875, 'f1': 0.05357142857142857, 'number': 16}, 'overall_precision': 0.01282051282051282, 'overall_recall': 0.07936507936507936, 'overall_f1': 0.02207505518763797, 'overall_accuracy': 0.17066290550070523} |
73
+ | No log | 15.0 | 45 | 1.9381 | 0.0128 | 0.0794 | 0.0221 | 0.1707 | {'MedicalCondition': {'precision': 0.011428571428571429, 'recall': 0.05714285714285714, 'f1': 0.019047619047619046, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.03125, 'recall': 0.1875, 'f1': 0.05357142857142857, 'number': 16}, 'overall_precision': 0.01282051282051282, 'overall_recall': 0.07936507936507936, 'overall_f1': 0.02207505518763797, 'overall_accuracy': 0.17066290550070523} |
74
+ | No log | 16.0 | 48 | 1.9380 | 0.0128 | 0.0794 | 0.0221 | 0.1707 | {'MedicalCondition': {'precision': 0.011428571428571429, 'recall': 0.05714285714285714, 'f1': 0.019047619047619046, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.03125, 'recall': 0.1875, 'f1': 0.05357142857142857, 'number': 16}, 'overall_precision': 0.01282051282051282, 'overall_recall': 0.07936507936507936, 'overall_f1': 0.02207505518763797, 'overall_accuracy': 0.17066290550070523} |
75
+ | No log | 17.0 | 51 | 1.9380 | 0.0128 | 0.0794 | 0.0221 | 0.1707 | {'MedicalCondition': {'precision': 0.011428571428571429, 'recall': 0.05714285714285714, 'f1': 0.019047619047619046, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.03125, 'recall': 0.1875, 'f1': 0.05357142857142857, 'number': 16}, 'overall_precision': 0.01282051282051282, 'overall_recall': 0.07936507936507936, 'overall_f1': 0.02207505518763797, 'overall_accuracy': 0.17066290550070523} |
76
+ | No log | 18.0 | 54 | 1.9379 | 0.0128 | 0.0794 | 0.0221 | 0.1707 | {'MedicalCondition': {'precision': 0.011428571428571429, 'recall': 0.05714285714285714, 'f1': 0.019047619047619046, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.03125, 'recall': 0.1875, 'f1': 0.05357142857142857, 'number': 16}, 'overall_precision': 0.01282051282051282, 'overall_recall': 0.07936507936507936, 'overall_f1': 0.02207505518763797, 'overall_accuracy': 0.17066290550070523} |
77
+ | No log | 19.0 | 57 | 1.9379 | 0.0128 | 0.0794 | 0.0221 | 0.1707 | {'MedicalCondition': {'precision': 0.011428571428571429, 'recall': 0.05714285714285714, 'f1': 0.019047619047619046, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.03125, 'recall': 0.1875, 'f1': 0.05357142857142857, 'number': 16}, 'overall_precision': 0.01282051282051282, 'overall_recall': 0.07936507936507936, 'overall_f1': 0.02207505518763797, 'overall_accuracy': 0.17066290550070523} |
78
+ | No log | 20.0 | 60 | 1.9379 | 0.0128 | 0.0794 | 0.0221 | 0.1707 | {'MedicalCondition': {'precision': 0.011428571428571429, 'recall': 0.05714285714285714, 'f1': 0.019047619047619046, 'number': 35}, 'Medicine': {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 12}, 'Pathogen': {'precision': 0.03125, 'recall': 0.1875, 'f1': 0.05357142857142857, 'number': 16}, 'overall_precision': 0.01282051282051282, 'overall_recall': 0.07936507936507936, 'overall_f1': 0.02207505518763797, 'overall_accuracy': 0.17066290550070523} |
79
 
80
 
81
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:8f9138302157de5909b7c639d3b455e1d04c182cb2beb7fadb6142e6dc4d56e3
3
  size 435611468
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6668093bae0c840e05611b750f912460dfae7a1ae3baca808d839c1a795c0b4a
3
  size 435611468