Hugging Face's logo

fgaim
/
tiroberta-pos

Token Classification
Transformers
PyTorch
Safetensors
Tigrinya
roberta
Eval Results
Inference Endpoints
Model card Files Community
1
tiroberta-pos
File size: 3,675 Bytes 
e94878a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
 
{
    "predict_ADJ_f1": 0.9277000892591492,
    "predict_ADJ_number": 1670,
    "predict_ADJ_precision": 0.92193968066233,
    "predict_ADJ_recall": 0.9335329341317365,
    "predict_ADV_f1": 0.8423194303153613,
    "predict_ADV_number": 484,
    "predict_ADV_precision": 0.8296593186372746,
    "predict_ADV_recall": 0.8553719008264463,
    "predict_CON_f1": 0.9803719008264462,
    "predict_CON_number": 972,
    "predict_CON_precision": 0.9844398340248963,
    "predict_CON_recall": 0.9763374485596708,
    "predict_FW_f1": 0.6382978723404255,
    "predict_FW_number": 28,
    "predict_FW_precision": 0.7894736842105263,
    "predict_FW_recall": 0.5357142857142857,
    "predict_INT_f1": 0.6909090909090909,
    "predict_INT_number": 26,
    "predict_INT_precision": 0.6551724137931034,
    "predict_INT_recall": 0.7307692307692307,
    "predict_NUM_f1": 0.9705882352941178,
    "predict_NUM_number": 239,
    "predict_NUM_precision": 0.9746835443037974,
    "predict_NUM_recall": 0.9665271966527197,
    "predict_N_PRP_f1": 0.9376979936642028,
    "predict_N_PRP_number": 470,
    "predict_N_PRP_precision": 0.9308176100628931,
    "predict_N_PRP_recall": 0.9446808510638298,
    "predict_N_V_f1": 0.9794437726723096,
    "predict_N_V_number": 416,
    "predict_N_V_precision": 0.9854014598540146,
    "predict_N_V_recall": 0.9735576923076923,
    "predict_N_f1": 0.965577669295281,
    "predict_N_number": 3992,
    "predict_N_precision": 0.9649737302977233,
    "predict_N_recall": 0.966182364729459,
    "predict_PRE_f1": 0.9673130193905818,
    "predict_PRE_number": 907,
    "predict_PRE_precision": 0.9721603563474388,
    "predict_PRE_recall": 0.9625137816979051,
    "predict_PRO_f1": 0.9340909090909091,
    "predict_PRO_number": 445,
    "predict_PRO_precision": 0.9448275862068966,
    "predict_PRO_recall": 0.9235955056179775,
    "predict_PUN_f1": 0.9996887643946467,
    "predict_PUN_number": 1607,
    "predict_PUN_precision": 1.0,
    "predict_PUN_recall": 0.9993777224642191,
    "predict_UNC_f1": 0.9333333333333333,
    "predict_UNC_number": 16,
    "predict_UNC_precision": 1.0,
    "predict_UNC_recall": 0.875,
    "predict_V_AUX_f1": 0.9780469341408025,
    "predict_V_AUX_number": 654,
    "predict_V_AUX_precision": 0.9685157421289355,
    "predict_V_AUX_recall": 0.9877675840978594,
    "predict_V_GER_f1": 0.9478764478764479,
    "predict_V_GER_number": 513,
    "predict_V_GER_precision": 0.9388145315487572,
    "predict_V_GER_recall": 0.9571150097465887,
    "predict_V_IMF_f1": 0.9564738292011019,
    "predict_V_IMF_number": 914,
    "predict_V_IMF_precision": 0.9633740288568258,
    "predict_V_IMF_recall": 0.949671772428884,
    "predict_V_IMV_f1": 0.796875,
    "predict_V_IMV_number": 70,
    "predict_V_IMV_precision": 0.8793103448275862,
    "predict_V_IMV_recall": 0.7285714285714285,
    "predict_V_PRF_f1": 0.902027027027027,
    "predict_V_PRF_number": 294,
    "predict_V_PRF_precision": 0.8959731543624161,
    "predict_V_PRF_recall": 0.9081632653061225,
    "predict_V_REL_f1": 0.9607451763140386,
    "predict_V_REL_number": 757,
    "predict_V_REL_precision": 0.967828418230563,
    "predict_V_REL_recall": 0.9537648612945839,
    "predict_V_f1": 0.9,
    "predict_V_number": 78,
    "predict_V_precision": 0.8780487804878049,
    "predict_V_recall": 0.9230769230769231,
    "predict_loss": 0.3193676769733429,
    "predict_overall_accuracy": 0.9561572292468389,
    "predict_overall_f1": 0.9561572292468388,
    "predict_overall_precision": 0.9561572292468389,
    "predict_overall_recall": 0.9561572292468389,
    "predict_runtime": 14.2811,
    "predict_samples_per_second": 65.051,
    "predict_steps_per_second": 2.101
}