Hugging Face's logo

Akashpaul123
/
modernbert-crisis-detection

Text Classification
Transformers
Safetensors
PyTorch
English
modernbert
mental-health
crisis-detection
healthcare
nlp
Eval Results
Model card Files
xet
Community
modernbert-crisis-detection
File size: 6,912 Bytes 
d7ddb6d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
 
[
  {
    "step": 50,
    "timestamp": 1755793394.419832,
    "elapsed_time": 24.139035940170288,
    "cpu_percent": 0.8,
    "memory_used_gb": 8.898090362548828,
    "memory_available_gb": 114.84161758422852,
    "gpu_utilization": 25.0,
    "gpu_memory_used": 3659.0,
    "gpu_memory_total": 24564.0,
    "gpu_temperature": 46.0,
    "gpu_memory_pct": 14.895782445855724,
    "loss": 0.8565,
    "grad_norm": 0.00101470947265625,
    "learning_rate": 7.257383966244726e-05,
    "epoch": 0.38095238095238093
  },
  {
    "step": 100,
    "timestamp": 1755793407.0248764,
    "elapsed_time": 36.74408030509949,
    "cpu_percent": 3.9,
    "memory_used_gb": 8.888164520263672,
    "memory_available_gb": 114.85160827636719,
    "gpu_utilization": 25.0,
    "gpu_memory_used": 3659.0,
    "gpu_memory_total": 24564.0,
    "gpu_temperature": 47.0,
    "gpu_memory_pct": 14.895782445855724,
    "loss": 0.0,
    "grad_norm": 0.00191497802734375,
    "learning_rate": 5.569620253164558e-05,
    "epoch": 0.7619047619047619
  },
  {
    "step": 132,
    "timestamp": 1755793417.0392945,
    "elapsed_time": 46.758498430252075,
    "cpu_percent": 3.6,
    "memory_used_gb": 8.84976577758789,
    "memory_available_gb": 114.88998413085938,
    "gpu_utilization": 28.000000000000004,
    "gpu_memory_used": 3659.0,
    "gpu_memory_total": 24564.0,
    "gpu_temperature": 47.0,
    "gpu_memory_pct": 14.895782445855724,
    "eval_loss": 2.0335116914793616e-06,
    "eval_accuracy": 1.0,
    "eval_precision": 1.0,
    "eval_recall": 1.0,
    "eval_f1": 1.0,
    "eval_crisis_detection_rate": 1.0,
    "eval_false_positive_rate": 0.0,
    "eval_specificity": 1.0,
    "eval_positive_predictive_value": 1.0,
    "eval_negative_predictive_value": 1.0,
    "eval_meets_fp_target": true,
    "eval_meets_sensitivity_target": true,
    "eval_both_targets_met": true,
    "eval_runtime": 2.0454,
    "eval_samples_per_second": 293.347,
    "eval_steps_per_second": 24.446,
    "epoch": 1.0
  },
  {
    "step": 150,
    "timestamp": 1755793422.326415,
    "elapsed_time": 52.04561901092529,
    "cpu_percent": 3.5,
    "memory_used_gb": 9.224533081054688,
    "memory_available_gb": 114.51517486572266,
    "gpu_utilization": 26.0,
    "gpu_memory_used": 3659.0,
    "gpu_memory_total": 24564.0,
    "gpu_temperature": 47.0,
    "gpu_memory_pct": 14.895782445855724,
    "loss": 0.0,
    "grad_norm": 0.0004787445068359375,
    "learning_rate": 3.881856540084389e-05,
    "epoch": 1.1371428571428572
  },
  {
    "step": 200,
    "timestamp": 1755793434.9832902,
    "elapsed_time": 64.7024941444397,
    "cpu_percent": 3.5,
    "memory_used_gb": 9.128910064697266,
    "memory_available_gb": 114.61084747314453,
    "gpu_utilization": 25.0,
    "gpu_memory_used": 3659.0,
    "gpu_memory_total": 24564.0,
    "gpu_temperature": 48.0,
    "gpu_memory_pct": 14.895782445855724,
    "loss": 0.0,
    "grad_norm": 0.0014495849609375,
    "learning_rate": 2.1940928270042193e-05,
    "epoch": 1.518095238095238
  },
  {
    "step": 250,
    "timestamp": 1755793447.3579981,
    "elapsed_time": 77.0772020816803,
    "cpu_percent": 3.7,
    "memory_used_gb": 9.063133239746094,
    "memory_available_gb": 114.67667007446289,
    "gpu_utilization": 31.0,
    "gpu_memory_used": 3659.0,
    "gpu_memory_total": 24564.0,
    "gpu_temperature": 48.0,
    "gpu_memory_pct": 14.895782445855724,
    "loss": 0.0,
    "grad_norm": 0.00119781494140625,
    "learning_rate": 5.063291139240507e-06,
    "epoch": 1.899047619047619
  },
  {
    "step": 264,
    "timestamp": 1755793451.8623168,
    "elapsed_time": 81.58152079582214,
    "cpu_percent": 4.0,
    "memory_used_gb": 8.95315933227539,
    "memory_available_gb": 114.78659057617188,
    "gpu_utilization": 7.000000000000001,
    "gpu_memory_used": 3659.0,
    "gpu_memory_total": 24564.0,
    "gpu_temperature": 49.0,
    "gpu_memory_pct": 14.895782445855724,
    "eval_loss": 1.921653847603011e-06,
    "eval_accuracy": 1.0,
    "eval_precision": 1.0,
    "eval_recall": 1.0,
    "eval_f1": 1.0,
    "eval_crisis_detection_rate": 1.0,
    "eval_false_positive_rate": 0.0,
    "eval_specificity": 1.0,
    "eval_positive_predictive_value": 1.0,
    "eval_negative_predictive_value": 1.0,
    "eval_meets_fp_target": true,
    "eval_meets_sensitivity_target": true,
    "eval_both_targets_met": true,
    "eval_runtime": 1.0423,
    "eval_samples_per_second": 575.643,
    "eval_steps_per_second": 47.97,
    "epoch": 2.0
  },
  {
    "step": 264,
    "timestamp": 1755793452.5912595,
    "elapsed_time": 82.31046342849731,
    "cpu_percent": 4.3,
    "memory_used_gb": 9.286178588867188,
    "memory_available_gb": 114.4536247253418,
    "gpu_utilization": 21.0,
    "gpu_memory_used": 3659.0,
    "gpu_memory_total": 24564.0,
    "gpu_temperature": 47.0,
    "gpu_memory_pct": 14.895782445855724,
    "train_runtime": 71.3118,
    "train_samples_per_second": 117.793,
    "train_steps_per_second": 3.702,
    "total_flos": 118796704067328.0,
    "train_loss": 0.16222823320916205,
    "epoch": 2.0
  },
  {
    "step": 264,
    "timestamp": 1755793516.6421485,
    "elapsed_time": 146.36135244369507,
    "cpu_percent": 0.6,
    "memory_used_gb": 8.904945373535156,
    "memory_available_gb": 114.83450317382812,
    "gpu_utilization": 10.0,
    "gpu_memory_used": 3659.0,
    "gpu_memory_total": 24564.0,
    "gpu_temperature": 44.0,
    "gpu_memory_pct": 14.895782445855724,
    "eval_loss": 2.0335116914793616e-06,
    "eval_accuracy": 1.0,
    "eval_precision": 1.0,
    "eval_recall": 1.0,
    "eval_f1": 1.0,
    "eval_crisis_detection_rate": 1.0,
    "eval_false_positive_rate": 0.0,
    "eval_specificity": 1.0,
    "eval_positive_predictive_value": 1.0,
    "eval_negative_predictive_value": 1.0,
    "eval_meets_fp_target": true,
    "eval_meets_sensitivity_target": true,
    "eval_both_targets_met": true,
    "eval_runtime": 1.0218,
    "eval_samples_per_second": 587.19,
    "eval_steps_per_second": 48.933,
    "epoch": 2.0
  },
  {
    "step": 264,
    "timestamp": 1755793518.6412907,
    "elapsed_time": 148.36049461364746,
    "cpu_percent": 4.3,
    "memory_used_gb": 8.896961212158203,
    "memory_available_gb": 114.84284210205078,
    "gpu_utilization": 8.0,
    "gpu_memory_used": 3659.0,
    "gpu_memory_total": 24564.0,
    "gpu_temperature": 46.0,
    "gpu_memory_pct": 14.895782445855724,
    "eval_loss": 2.036889327428071e-06,
    "eval_accuracy": 1.0,
    "eval_precision": 1.0,
    "eval_recall": 1.0,
    "eval_f1": 1.0,
    "eval_crisis_detection_rate": 1.0,
    "eval_false_positive_rate": 0.0,
    "eval_specificity": 1.0,
    "eval_positive_predictive_value": 1.0,
    "eval_negative_predictive_value": 1.0,
    "eval_meets_fp_target": true,
    "eval_meets_sensitivity_target": true,
    "eval_both_targets_met": true,
    "eval_runtime": 1.9744,
    "eval_samples_per_second": 607.788,
    "eval_steps_per_second": 50.649,
    "epoch": 2.0
  }
]