Hugging Face's logo

jpherrerap
/
ner-roberta-es-clinical-trials-ner

Token Classification
Transformers
TensorBoard
Safetensors
Spanish
roberta
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
1
ner-roberta-es-clinical-trials-ner
File size: 2,498 Bytes 
6d55221
 
2cacc82
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6d55221
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2cacc82
6d55221
2cacc82
 
6d55221
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
 
{
    "epoch": 2.0,
    "eval_Body_Part_f1": 0.7612293144208038,
    "eval_Body_Part_number": 197,
    "eval_Body_Part_precision": 0.7123893805309734,
    "eval_Body_Part_recall": 0.817258883248731,
    "eval_Disease_f1": 0.7704130643611912,
    "eval_Disease_number": 521,
    "eval_Disease_precision": 0.7711538461538462,
    "eval_Disease_recall": 0.7696737044145874,
    "eval_Family_Member_f1": 0.8461538461538461,
    "eval_Family_Member_number": 13,
    "eval_Family_Member_precision": 0.8461538461538461,
    "eval_Family_Member_recall": 0.8461538461538461,
    "eval_Medication_f1": 0.8378378378378378,
    "eval_Medication_number": 37,
    "eval_Medication_precision": 0.8378378378378378,
    "eval_Medication_recall": 0.8378378378378378,
    "eval_Procedure_f1": 0.685512367491166,
    "eval_Procedure_number": 134,
    "eval_Procedure_precision": 0.6510067114093959,
    "eval_Procedure_recall": 0.7238805970149254,
    "eval_loss": 0.2660825252532959,
    "eval_overall_accuracy": 0.923838261919131,
    "eval_overall_f1": 0.7590687601515972,
    "eval_overall_precision": 0.7417989417989418,
    "eval_overall_recall": 0.7771618625277162,
    "eval_runtime": 5.697,
    "eval_samples": 446,
    "eval_samples_per_second": 78.286,
    "eval_steps_per_second": 4.915,
    "predict_Body_Part_f1": 0.0,
    "predict_Body_Part_number": 0,
    "predict_Body_Part_precision": 0.0,
    "predict_Body_Part_recall": 0.0,
    "predict_Disease_f1": 0.0,
    "predict_Disease_number": 0,
    "predict_Disease_precision": 0.0,
    "predict_Disease_recall": 0.0,
    "predict_Family_Member_f1": 0.0,
    "predict_Family_Member_number": 0,
    "predict_Family_Member_precision": 0.0,
    "predict_Family_Member_recall": 0.0,
    "predict_Medication_f1": 0.0,
    "predict_Medication_number": 0,
    "predict_Medication_precision": 0.0,
    "predict_Medication_recall": 0.0,
    "predict_Procedure_f1": 0.0,
    "predict_Procedure_number": 0,
    "predict_Procedure_precision": 0.0,
    "predict_Procedure_recall": 0.0,
    "predict_loss": 1.2850638628005981,
    "predict_overall_accuracy": 0.6758413073863025,
    "predict_overall_f1": 0.0,
    "predict_overall_precision": 0.0,
    "predict_overall_recall": 0.0,
    "predict_runtime": 6.3025,
    "predict_samples_per_second": 78.699,
    "predict_steps_per_second": 4.919,
    "train_loss": 0.2513850238693663,
    "train_runtime": 607.1265,
    "train_samples": 8025,
    "train_samples_per_second": 26.436,
    "train_steps_per_second": 1.654
}