Hugging Face's logo

xshubhamx
/
bart-large-lora

TensorBoard
Safetensors
Generated from Trainer
Model card Files Metrics Community
bart-large-lora
File size: 6,761 Bytes 
9a15f3c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.5608894910772386,
  "best_model_checkpoint": "bart-base-lora/checkpoint-1125",
  "epoch": 6.998444790046657,
  "eval_steps": 500,
  "global_step": 1125,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.611154144074361,
      "eval_f1_macro": 0.28705545756004525,
      "eval_f1_micro": 0.611154144074361,
      "eval_f1_weighted": 0.5574695078229231,
      "eval_loss": 1.3204560279846191,
      "eval_macro_fpr": 0.046390243375546196,
      "eval_macro_sensitivity": 0.302378554842108,
      "eval_macro_specificity": 0.9691815961629444,
      "eval_precision": 0.5321554731456403,
      "eval_precision_macro": 0.2887439395071009,
      "eval_recall": 0.611154144074361,
      "eval_recall_macro": 0.302378554842108,
      "eval_runtime": 45.1674,
      "eval_samples_per_second": 28.583,
      "eval_steps_per_second": 3.587,
      "eval_weighted_fpr": 0.04347073086248701,
      "eval_weighted_sensitivity": 0.611154144074361,
      "eval_weighted_specificity": 0.9265697983698051,
      "step": 160
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.6994577846630519,
      "eval_f1_macro": 0.3947617401663212,
      "eval_f1_micro": 0.6994577846630519,
      "eval_f1_weighted": 0.6807748226338182,
      "eval_loss": 0.887535810470581,
      "eval_macro_fpr": 0.03062685085400977,
      "eval_macro_sensitivity": 0.4253981018601158,
      "eval_macro_specificity": 0.977359054380045,
      "eval_precision": 0.6728416067370143,
      "eval_precision_macro": 0.3822291983692299,
      "eval_recall": 0.6994577846630519,
      "eval_recall_macro": 0.4253981018601158,
      "eval_runtime": 44.0045,
      "eval_samples_per_second": 29.338,
      "eval_steps_per_second": 3.681,
      "eval_weighted_fpr": 0.02977743668457406,
      "eval_weighted_sensitivity": 0.6994577846630519,
      "eval_weighted_specificity": 0.9609280310376243,
      "step": 321
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.7064291247095275,
      "eval_f1_macro": 0.39687975393644837,
      "eval_f1_micro": 0.7064291247095275,
      "eval_f1_weighted": 0.6751887743731854,
      "eval_loss": 0.842707633972168,
      "eval_macro_fpr": 0.029525759570689643,
      "eval_macro_sensitivity": 0.44418263304043937,
      "eval_macro_specificity": 0.9780349023882488,
      "eval_precision": 0.6951917464608133,
      "eval_precision_macro": 0.4131313886422618,
      "eval_recall": 0.7064291247095275,
      "eval_recall_macro": 0.44418263304043937,
      "eval_runtime": 44.2756,
      "eval_samples_per_second": 29.158,
      "eval_steps_per_second": 3.659,
      "eval_weighted_fpr": 0.02882786947592607,
      "eval_weighted_sensitivity": 0.7064291247095275,
      "eval_weighted_specificity": 0.9640944111142056,
      "step": 482
    },
    {
      "epoch": 3.11,
      "learning_rate": 3.958333333333333e-05,
      "loss": 1.2895,
      "step": 500
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.7273431448489543,
      "eval_f1_macro": 0.42839565617146974,
      "eval_f1_micro": 0.7273431448489543,
      "eval_f1_weighted": 0.7166656051521775,
      "eval_loss": 0.7718679904937744,
      "eval_macro_fpr": 0.026373610346420835,
      "eval_macro_sensitivity": 0.4597947061276887,
      "eval_macro_specificity": 0.9797578098165848,
      "eval_precision": 0.7132141916978711,
      "eval_precision_macro": 0.41981312370683244,
      "eval_recall": 0.7273431448489543,
      "eval_recall_macro": 0.4597947061276887,
      "eval_runtime": 44.0471,
      "eval_samples_per_second": 29.31,
      "eval_steps_per_second": 3.678,
      "eval_weighted_fpr": 0.026077937472218107,
      "eval_weighted_sensitivity": 0.7273431448489543,
      "eval_weighted_specificity": 0.9690240023998159,
      "step": 643
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.750580945003873,
      "eval_f1_macro": 0.5071625387211971,
      "eval_f1_micro": 0.750580945003873,
      "eval_f1_weighted": 0.7368350875727435,
      "eval_loss": 0.7387559413909912,
      "eval_macro_fpr": 0.02390193870216418,
      "eval_macro_sensitivity": 0.5165232292614671,
      "eval_macro_specificity": 0.9813510652812688,
      "eval_precision": 0.739991301984922,
      "eval_precision_macro": 0.5733174750951799,
      "eval_recall": 0.750580945003873,
      "eval_recall_macro": 0.5165232292614671,
      "eval_runtime": 43.5191,
      "eval_samples_per_second": 29.665,
      "eval_steps_per_second": 3.723,
      "eval_weighted_fpr": 0.023185483870967742,
      "eval_weighted_sensitivity": 0.750580945003873,
      "eval_weighted_specificity": 0.9696850342151593,
      "step": 803
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.7443841982958946,
      "eval_f1_macro": 0.508766573370445,
      "eval_f1_micro": 0.7443841982958946,
      "eval_f1_weighted": 0.726841801268282,
      "eval_loss": 0.7526118755340576,
      "eval_macro_fpr": 0.024741953499129225,
      "eval_macro_sensitivity": 0.5229557335240369,
      "eval_macro_specificity": 0.980899976318631,
      "eval_precision": 0.7337183019873953,
      "eval_precision_macro": 0.5703412270657953,
      "eval_recall": 0.7443841982958946,
      "eval_recall_macro": 0.5229557335240369,
      "eval_runtime": 43.7116,
      "eval_samples_per_second": 29.534,
      "eval_steps_per_second": 3.706,
      "eval_weighted_fpr": 0.023940800928612886,
      "eval_weighted_sensitivity": 0.7443841982958946,
      "eval_weighted_specificity": 0.9691154464835722,
      "step": 964
    },
    {
      "epoch": 6.22,
      "learning_rate": 2.916666666666667e-05,
      "loss": 0.7332,
      "step": 1000
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.7552285050348567,
      "eval_f1_macro": 0.5608894910772386,
      "eval_f1_micro": 0.7552285050348567,
      "eval_f1_weighted": 0.7460771491633669,
      "eval_loss": 0.7082085609436035,
      "eval_macro_fpr": 0.02329269548734161,
      "eval_macro_sensitivity": 0.5727565701904757,
      "eval_macro_specificity": 0.9817624646436656,
      "eval_precision": 0.7436383222975608,
      "eval_precision_macro": 0.5665418243254761,
      "eval_recall": 0.7552285050348567,
      "eval_recall_macro": 0.5727565701904757,
      "eval_runtime": 43.8592,
      "eval_samples_per_second": 29.435,
      "eval_steps_per_second": 3.694,
      "eval_weighted_fpr": 0.02262637834741515,
      "eval_weighted_sensitivity": 0.7552285050348567,
      "eval_weighted_specificity": 0.9712084646201266,
      "step": 1125
    }
  ],
  "logging_steps": 500,
  "max_steps": 2400,
  "num_train_epochs": 15,
  "save_steps": 500,
  "total_flos": 1.1393942951172096e+16,
  "trial_name": null,
  "trial_params": null
}