End of training
Browse files- all_results.json +17 -0
- eval_results.json +12 -0
- train_results.json +8 -0
- trainer_state.json +661 -0
all_results.json
ADDED
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"eval_accuracy": 0.9862154900510105,
|
4 |
+
"eval_f1": 0.9181643400484828,
|
5 |
+
"eval_loss": 0.0572221502661705,
|
6 |
+
"eval_precision": 0.9121408403919614,
|
7 |
+
"eval_recall": 0.9242679232581622,
|
8 |
+
"eval_runtime": 20.7303,
|
9 |
+
"eval_samples": 3250,
|
10 |
+
"eval_samples_per_second": 156.775,
|
11 |
+
"eval_steps_per_second": 4.92,
|
12 |
+
"train_loss": 0.07309725869308391,
|
13 |
+
"train_runtime": 1743.2547,
|
14 |
+
"train_samples": 14041,
|
15 |
+
"train_samples_per_second": 24.163,
|
16 |
+
"train_steps_per_second": 0.755
|
17 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"eval_accuracy": 0.9862154900510105,
|
4 |
+
"eval_f1": 0.9181643400484828,
|
5 |
+
"eval_loss": 0.0572221502661705,
|
6 |
+
"eval_precision": 0.9121408403919614,
|
7 |
+
"eval_recall": 0.9242679232581622,
|
8 |
+
"eval_runtime": 20.7303,
|
9 |
+
"eval_samples": 3250,
|
10 |
+
"eval_samples_per_second": 156.775,
|
11 |
+
"eval_steps_per_second": 4.92
|
12 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"train_loss": 0.07309725869308391,
|
4 |
+
"train_runtime": 1743.2547,
|
5 |
+
"train_samples": 14041,
|
6 |
+
"train_samples_per_second": 24.163,
|
7 |
+
"train_steps_per_second": 0.755
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,661 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9181643400484828,
|
3 |
+
"best_model_checkpoint": "hmBERT-CoNLL-cp3/checkpoint-1000",
|
4 |
+
"epoch": 3.0,
|
5 |
+
"global_step": 1317,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.06,
|
12 |
+
"eval_accuracy": 0.9007242708617266,
|
13 |
+
"eval_f1": 0.3684910996506405,
|
14 |
+
"eval_loss": 0.4115295708179474,
|
15 |
+
"eval_precision": 0.36430921052631576,
|
16 |
+
"eval_recall": 0.37277011107371255,
|
17 |
+
"eval_runtime": 21.3063,
|
18 |
+
"eval_samples_per_second": 152.537,
|
19 |
+
"eval_steps_per_second": 4.787,
|
20 |
+
"step": 25
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.11,
|
24 |
+
"eval_accuracy": 0.9460301390132783,
|
25 |
+
"eval_f1": 0.6640782981476988,
|
26 |
+
"eval_loss": 0.22425369918346405,
|
27 |
+
"eval_precision": 0.6393085189222862,
|
28 |
+
"eval_recall": 0.6908448333894311,
|
29 |
+
"eval_runtime": 21.4481,
|
30 |
+
"eval_samples_per_second": 151.529,
|
31 |
+
"eval_steps_per_second": 4.756,
|
32 |
+
"step": 50
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.17,
|
36 |
+
"eval_accuracy": 0.958023441454772,
|
37 |
+
"eval_f1": 0.7474880579805633,
|
38 |
+
"eval_loss": 0.16170601546764374,
|
39 |
+
"eval_precision": 0.7319354838709677,
|
40 |
+
"eval_recall": 0.7637159205654662,
|
41 |
+
"eval_runtime": 21.6197,
|
42 |
+
"eval_samples_per_second": 150.326,
|
43 |
+
"eval_steps_per_second": 4.718,
|
44 |
+
"step": 75
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.23,
|
48 |
+
"eval_accuracy": 0.9585101826252872,
|
49 |
+
"eval_f1": 0.7455232462625266,
|
50 |
+
"eval_loss": 0.15437664091587067,
|
51 |
+
"eval_precision": 0.7281771501925546,
|
52 |
+
"eval_recall": 0.7637159205654662,
|
53 |
+
"eval_runtime": 21.768,
|
54 |
+
"eval_samples_per_second": 149.302,
|
55 |
+
"eval_steps_per_second": 4.686,
|
56 |
+
"step": 100
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.28,
|
60 |
+
"eval_accuracy": 0.964409485611931,
|
61 |
+
"eval_f1": 0.784738041002278,
|
62 |
+
"eval_loss": 0.13407838344573975,
|
63 |
+
"eval_precision": 0.7595275590551182,
|
64 |
+
"eval_recall": 0.81167956916863,
|
65 |
+
"eval_runtime": 21.8222,
|
66 |
+
"eval_samples_per_second": 148.931,
|
67 |
+
"eval_steps_per_second": 4.674,
|
68 |
+
"step": 125
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.34,
|
72 |
+
"eval_accuracy": 0.9692963669639033,
|
73 |
+
"eval_f1": 0.811351977494622,
|
74 |
+
"eval_loss": 0.12208627909421921,
|
75 |
+
"eval_precision": 0.7980143229166666,
|
76 |
+
"eval_recall": 0.8251430494782901,
|
77 |
+
"eval_runtime": 21.2673,
|
78 |
+
"eval_samples_per_second": 152.817,
|
79 |
+
"eval_steps_per_second": 4.796,
|
80 |
+
"step": 150
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.4,
|
84 |
+
"eval_accuracy": 0.9718663603442234,
|
85 |
+
"eval_f1": 0.8151923709306149,
|
86 |
+
"eval_loss": 0.10127394646406174,
|
87 |
+
"eval_precision": 0.796849887495982,
|
88 |
+
"eval_recall": 0.8343991921911814,
|
89 |
+
"eval_runtime": 21.1083,
|
90 |
+
"eval_samples_per_second": 153.968,
|
91 |
+
"eval_steps_per_second": 4.832,
|
92 |
+
"step": 175
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.46,
|
96 |
+
"eval_accuracy": 0.9731513570343834,
|
97 |
+
"eval_f1": 0.8333472419260619,
|
98 |
+
"eval_loss": 0.10758877545595169,
|
99 |
+
"eval_precision": 0.8265187882800861,
|
100 |
+
"eval_recall": 0.8402894648266577,
|
101 |
+
"eval_runtime": 20.8538,
|
102 |
+
"eval_samples_per_second": 155.847,
|
103 |
+
"eval_steps_per_second": 4.891,
|
104 |
+
"step": 200
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.51,
|
108 |
+
"eval_accuracy": 0.9762859701725011,
|
109 |
+
"eval_f1": 0.8543123543123543,
|
110 |
+
"eval_loss": 0.08832722157239914,
|
111 |
+
"eval_precision": 0.8453047775947282,
|
112 |
+
"eval_recall": 0.8635139683608213,
|
113 |
+
"eval_runtime": 21.5789,
|
114 |
+
"eval_samples_per_second": 150.61,
|
115 |
+
"eval_steps_per_second": 4.727,
|
116 |
+
"step": 225
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.57,
|
120 |
+
"eval_accuracy": 0.9762665005256804,
|
121 |
+
"eval_f1": 0.8535063638632394,
|
122 |
+
"eval_loss": 0.0972680076956749,
|
123 |
+
"eval_precision": 0.8438887974995888,
|
124 |
+
"eval_recall": 0.8633456748569506,
|
125 |
+
"eval_runtime": 21.3825,
|
126 |
+
"eval_samples_per_second": 151.993,
|
127 |
+
"eval_steps_per_second": 4.77,
|
128 |
+
"step": 250
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.63,
|
132 |
+
"eval_accuracy": 0.9765390755811689,
|
133 |
+
"eval_f1": 0.8575239683201333,
|
134 |
+
"eval_loss": 0.0882844626903534,
|
135 |
+
"eval_precision": 0.8496613249628283,
|
136 |
+
"eval_recall": 0.8655334904072702,
|
137 |
+
"eval_runtime": 21.4561,
|
138 |
+
"eval_samples_per_second": 151.472,
|
139 |
+
"eval_steps_per_second": 4.754,
|
140 |
+
"step": 275
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.68,
|
144 |
+
"eval_accuracy": 0.9766364238152719,
|
145 |
+
"eval_f1": 0.8551207327227309,
|
146 |
+
"eval_loss": 0.08785738795995712,
|
147 |
+
"eval_precision": 0.8462425840474621,
|
148 |
+
"eval_recall": 0.8641871423763042,
|
149 |
+
"eval_runtime": 21.5171,
|
150 |
+
"eval_samples_per_second": 151.043,
|
151 |
+
"eval_steps_per_second": 4.74,
|
152 |
+
"step": 300
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.74,
|
156 |
+
"eval_accuracy": 0.9786612670846151,
|
157 |
+
"eval_f1": 0.8711310264708322,
|
158 |
+
"eval_loss": 0.07805178314447403,
|
159 |
+
"eval_precision": 0.8592240955966607,
|
160 |
+
"eval_recall": 0.8833726018175698,
|
161 |
+
"eval_runtime": 21.5676,
|
162 |
+
"eval_samples_per_second": 150.689,
|
163 |
+
"eval_steps_per_second": 4.729,
|
164 |
+
"step": 325
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.8,
|
168 |
+
"eval_accuracy": 0.9803161870643666,
|
169 |
+
"eval_f1": 0.8810828765985717,
|
170 |
+
"eval_loss": 0.07252655178308487,
|
171 |
+
"eval_precision": 0.8696721311475409,
|
172 |
+
"eval_recall": 0.8927970380343319,
|
173 |
+
"eval_runtime": 21.8654,
|
174 |
+
"eval_samples_per_second": 148.637,
|
175 |
+
"eval_steps_per_second": 4.665,
|
176 |
+
"step": 350
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.85,
|
180 |
+
"eval_accuracy": 0.9807250496475994,
|
181 |
+
"eval_f1": 0.881333443900821,
|
182 |
+
"eval_loss": 0.07547631114721298,
|
183 |
+
"eval_precision": 0.8687264999182606,
|
184 |
+
"eval_recall": 0.8943116795691687,
|
185 |
+
"eval_runtime": 21.5439,
|
186 |
+
"eval_samples_per_second": 150.855,
|
187 |
+
"eval_steps_per_second": 4.735,
|
188 |
+
"step": 375
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.91,
|
192 |
+
"eval_accuracy": 0.9822242124527861,
|
193 |
+
"eval_f1": 0.8890735355213959,
|
194 |
+
"eval_loss": 0.06660941988229752,
|
195 |
+
"eval_precision": 0.8780567864762843,
|
196 |
+
"eval_recall": 0.9003702457085156,
|
197 |
+
"eval_runtime": 21.2792,
|
198 |
+
"eval_samples_per_second": 152.731,
|
199 |
+
"eval_steps_per_second": 4.793,
|
200 |
+
"step": 400
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.97,
|
204 |
+
"eval_accuracy": 0.982282621393248,
|
205 |
+
"eval_f1": 0.8935885647412856,
|
206 |
+
"eval_loss": 0.06582659482955933,
|
207 |
+
"eval_precision": 0.8877262913137353,
|
208 |
+
"eval_recall": 0.8995287781891619,
|
209 |
+
"eval_runtime": 21.0258,
|
210 |
+
"eval_samples_per_second": 154.572,
|
211 |
+
"eval_steps_per_second": 4.851,
|
212 |
+
"step": 425
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 1.03,
|
216 |
+
"eval_accuracy": 0.983664966317511,
|
217 |
+
"eval_f1": 0.8993299832495812,
|
218 |
+
"eval_loss": 0.0645442008972168,
|
219 |
+
"eval_precision": 0.89513171057019,
|
220 |
+
"eval_recall": 0.9035678222820599,
|
221 |
+
"eval_runtime": 21.8717,
|
222 |
+
"eval_samples_per_second": 148.594,
|
223 |
+
"eval_steps_per_second": 4.664,
|
224 |
+
"step": 450
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 1.08,
|
228 |
+
"eval_accuracy": 0.9831003465597135,
|
229 |
+
"eval_f1": 0.8950920756603616,
|
230 |
+
"eval_loss": 0.06972972303628922,
|
231 |
+
"eval_precision": 0.8864499092259449,
|
232 |
+
"eval_recall": 0.9039044092898014,
|
233 |
+
"eval_runtime": 22.0283,
|
234 |
+
"eval_samples_per_second": 147.537,
|
235 |
+
"eval_steps_per_second": 4.63,
|
236 |
+
"step": 475
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 1.14,
|
240 |
+
"learning_rate": 3.1017463933181475e-05,
|
241 |
+
"loss": 0.1392,
|
242 |
+
"step": 500
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 1.14,
|
246 |
+
"eval_accuracy": 0.9824189089209922,
|
247 |
+
"eval_f1": 0.8908151358559759,
|
248 |
+
"eval_loss": 0.06883182376623154,
|
249 |
+
"eval_precision": 0.8824306472919419,
|
250 |
+
"eval_recall": 0.8993604846852912,
|
251 |
+
"eval_runtime": 21.1436,
|
252 |
+
"eval_samples_per_second": 153.711,
|
253 |
+
"eval_steps_per_second": 4.824,
|
254 |
+
"step": 500
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 1.2,
|
258 |
+
"eval_accuracy": 0.9827498929169425,
|
259 |
+
"eval_f1": 0.8999163179916319,
|
260 |
+
"eval_loss": 0.06805375963449478,
|
261 |
+
"eval_precision": 0.8949733688415447,
|
262 |
+
"eval_recall": 0.9049141703130259,
|
263 |
+
"eval_runtime": 21.618,
|
264 |
+
"eval_samples_per_second": 150.337,
|
265 |
+
"eval_steps_per_second": 4.718,
|
266 |
+
"step": 525
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 1.25,
|
270 |
+
"eval_accuracy": 0.9823215606868891,
|
271 |
+
"eval_f1": 0.8915259903058667,
|
272 |
+
"eval_loss": 0.06759364902973175,
|
273 |
+
"eval_precision": 0.8854581673306773,
|
274 |
+
"eval_recall": 0.8976775496465836,
|
275 |
+
"eval_runtime": 21.6174,
|
276 |
+
"eval_samples_per_second": 150.342,
|
277 |
+
"eval_steps_per_second": 4.718,
|
278 |
+
"step": 550
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 1.31,
|
282 |
+
"eval_accuracy": 0.9841906467816673,
|
283 |
+
"eval_f1": 0.9013520280420632,
|
284 |
+
"eval_loss": 0.06176742911338806,
|
285 |
+
"eval_precision": 0.8940397350993378,
|
286 |
+
"eval_recall": 0.9087849209020532,
|
287 |
+
"eval_runtime": 21.5727,
|
288 |
+
"eval_samples_per_second": 150.653,
|
289 |
+
"eval_steps_per_second": 4.728,
|
290 |
+
"step": 575
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 1.37,
|
294 |
+
"eval_accuracy": 0.984015419960282,
|
295 |
+
"eval_f1": 0.9010107760421018,
|
296 |
+
"eval_loss": 0.0644294023513794,
|
297 |
+
"eval_precision": 0.8945098689666612,
|
298 |
+
"eval_recall": 0.9076068663749579,
|
299 |
+
"eval_runtime": 22.0692,
|
300 |
+
"eval_samples_per_second": 147.264,
|
301 |
+
"eval_steps_per_second": 4.622,
|
302 |
+
"step": 600
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 1.42,
|
306 |
+
"eval_accuracy": 0.9837233752579728,
|
307 |
+
"eval_f1": 0.9010347129506008,
|
308 |
+
"eval_loss": 0.0641368106007576,
|
309 |
+
"eval_precision": 0.8935782853359815,
|
310 |
+
"eval_recall": 0.9086166273981824,
|
311 |
+
"eval_runtime": 21.6306,
|
312 |
+
"eval_samples_per_second": 150.25,
|
313 |
+
"eval_steps_per_second": 4.716,
|
314 |
+
"step": 625
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 1.48,
|
318 |
+
"eval_accuracy": 0.9845800397180795,
|
319 |
+
"eval_f1": 0.9043724966622163,
|
320 |
+
"eval_loss": 0.06189671903848648,
|
321 |
+
"eval_precision": 0.8968884475339292,
|
322 |
+
"eval_recall": 0.9119824974755975,
|
323 |
+
"eval_runtime": 20.932,
|
324 |
+
"eval_samples_per_second": 155.265,
|
325 |
+
"eval_steps_per_second": 4.873,
|
326 |
+
"step": 650
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 1.54,
|
330 |
+
"eval_accuracy": 0.9848136754799268,
|
331 |
+
"eval_f1": 0.9074897257401661,
|
332 |
+
"eval_loss": 0.06076198071241379,
|
333 |
+
"eval_precision": 0.9045310148804547,
|
334 |
+
"eval_recall": 0.9104678559407607,
|
335 |
+
"eval_runtime": 21.5144,
|
336 |
+
"eval_samples_per_second": 151.062,
|
337 |
+
"eval_steps_per_second": 4.741,
|
338 |
+
"step": 675
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 1.59,
|
342 |
+
"eval_accuracy": 0.9851057201822359,
|
343 |
+
"eval_f1": 0.9090604869070525,
|
344 |
+
"eval_loss": 0.06238234415650368,
|
345 |
+
"eval_precision": 0.903842954583264,
|
346 |
+
"eval_recall": 0.9143386065297879,
|
347 |
+
"eval_runtime": 21.3845,
|
348 |
+
"eval_samples_per_second": 151.979,
|
349 |
+
"eval_steps_per_second": 4.77,
|
350 |
+
"step": 700
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 1.65,
|
354 |
+
"eval_accuracy": 0.9852420077099802,
|
355 |
+
"eval_f1": 0.9115851108322878,
|
356 |
+
"eval_loss": 0.05955210700631142,
|
357 |
+
"eval_precision": 0.9062032263429237,
|
358 |
+
"eval_recall": 0.9170313025917199,
|
359 |
+
"eval_runtime": 21.1164,
|
360 |
+
"eval_samples_per_second": 153.909,
|
361 |
+
"eval_steps_per_second": 4.83,
|
362 |
+
"step": 725
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 1.71,
|
366 |
+
"eval_accuracy": 0.9848331451267474,
|
367 |
+
"eval_f1": 0.9068602904356534,
|
368 |
+
"eval_loss": 0.0579909048974514,
|
369 |
+
"eval_precision": 0.8995033112582781,
|
370 |
+
"eval_recall": 0.9143386065297879,
|
371 |
+
"eval_runtime": 21.1108,
|
372 |
+
"eval_samples_per_second": 153.95,
|
373 |
+
"eval_steps_per_second": 4.832,
|
374 |
+
"step": 750
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 1.77,
|
378 |
+
"eval_accuracy": 0.9857676881741365,
|
379 |
+
"eval_f1": 0.9126685087498954,
|
380 |
+
"eval_loss": 0.05822019651532173,
|
381 |
+
"eval_precision": 0.9081819696717214,
|
382 |
+
"eval_recall": 0.9171995960955908,
|
383 |
+
"eval_runtime": 22.2525,
|
384 |
+
"eval_samples_per_second": 146.051,
|
385 |
+
"eval_steps_per_second": 4.584,
|
386 |
+
"step": 775
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 1.82,
|
390 |
+
"eval_accuracy": 0.9852420077099802,
|
391 |
+
"eval_f1": 0.9100617386951443,
|
392 |
+
"eval_loss": 0.0588374100625515,
|
393 |
+
"eval_precision": 0.9023825281270682,
|
394 |
+
"eval_recall": 0.9178727701110737,
|
395 |
+
"eval_runtime": 21.7438,
|
396 |
+
"eval_samples_per_second": 149.468,
|
397 |
+
"eval_steps_per_second": 4.691,
|
398 |
+
"step": 800
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 1.88,
|
402 |
+
"eval_accuracy": 0.9855535220591098,
|
403 |
+
"eval_f1": 0.911860174781523,
|
404 |
+
"eval_loss": 0.0592406764626503,
|
405 |
+
"eval_precision": 0.9020253581425984,
|
406 |
+
"eval_recall": 0.9219118142039717,
|
407 |
+
"eval_runtime": 21.1485,
|
408 |
+
"eval_samples_per_second": 153.675,
|
409 |
+
"eval_steps_per_second": 4.823,
|
410 |
+
"step": 825
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 1.94,
|
414 |
+
"eval_accuracy": 0.9852225380631595,
|
415 |
+
"eval_f1": 0.911764705882353,
|
416 |
+
"eval_loss": 0.06002892181277275,
|
417 |
+
"eval_precision": 0.9054098904746101,
|
418 |
+
"eval_recall": 0.9182093571188152,
|
419 |
+
"eval_runtime": 22.0668,
|
420 |
+
"eval_samples_per_second": 147.28,
|
421 |
+
"eval_steps_per_second": 4.622,
|
422 |
+
"step": 850
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 1.99,
|
426 |
+
"eval_accuracy": 0.9860792025232662,
|
427 |
+
"eval_f1": 0.913464751085867,
|
428 |
+
"eval_loss": 0.05682874843478203,
|
429 |
+
"eval_precision": 0.9067993366500829,
|
430 |
+
"eval_recall": 0.9202288791652642,
|
431 |
+
"eval_runtime": 20.9827,
|
432 |
+
"eval_samples_per_second": 154.89,
|
433 |
+
"eval_steps_per_second": 4.861,
|
434 |
+
"step": 875
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 2.05,
|
438 |
+
"eval_accuracy": 0.9860792025232662,
|
439 |
+
"eval_f1": 0.9171483622350675,
|
440 |
+
"eval_loss": 0.0570731945335865,
|
441 |
+
"eval_precision": 0.9130942452043369,
|
442 |
+
"eval_recall": 0.9212386401884888,
|
443 |
+
"eval_runtime": 21.3364,
|
444 |
+
"eval_samples_per_second": 152.322,
|
445 |
+
"eval_steps_per_second": 4.781,
|
446 |
+
"step": 900
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 2.11,
|
450 |
+
"eval_accuracy": 0.9857676881741365,
|
451 |
+
"eval_f1": 0.9156969443281708,
|
452 |
+
"eval_loss": 0.0577477402985096,
|
453 |
+
"eval_precision": 0.9110444777611194,
|
454 |
+
"eval_recall": 0.920397172669135,
|
455 |
+
"eval_runtime": 21.9855,
|
456 |
+
"eval_samples_per_second": 147.825,
|
457 |
+
"eval_steps_per_second": 4.639,
|
458 |
+
"step": 925
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 2.16,
|
462 |
+
"eval_accuracy": 0.986040263229625,
|
463 |
+
"eval_f1": 0.9184714441006773,
|
464 |
+
"eval_loss": 0.06048833578824997,
|
465 |
+
"eval_precision": 0.912747216220708,
|
466 |
+
"eval_recall": 0.9242679232581622,
|
467 |
+
"eval_runtime": 21.8831,
|
468 |
+
"eval_samples_per_second": 148.516,
|
469 |
+
"eval_steps_per_second": 4.661,
|
470 |
+
"step": 950
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 2.22,
|
474 |
+
"eval_accuracy": 0.986682761574705,
|
475 |
+
"eval_f1": 0.9166318254034618,
|
476 |
+
"eval_loss": 0.05745207890868187,
|
477 |
+
"eval_precision": 0.9109190626558086,
|
478 |
+
"eval_recall": 0.922416694715584,
|
479 |
+
"eval_runtime": 21.8724,
|
480 |
+
"eval_samples_per_second": 148.589,
|
481 |
+
"eval_steps_per_second": 4.663,
|
482 |
+
"step": 975
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 2.28,
|
486 |
+
"learning_rate": 1.2034927866362947e-05,
|
487 |
+
"loss": 0.0392,
|
488 |
+
"step": 1000
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 2.28,
|
492 |
+
"eval_accuracy": 0.9862154900510105,
|
493 |
+
"eval_f1": 0.9181643400484828,
|
494 |
+
"eval_loss": 0.0572221502661705,
|
495 |
+
"eval_precision": 0.9121408403919614,
|
496 |
+
"eval_recall": 0.9242679232581622,
|
497 |
+
"eval_runtime": 21.5878,
|
498 |
+
"eval_samples_per_second": 150.548,
|
499 |
+
"eval_steps_per_second": 4.725,
|
500 |
+
"step": 1000
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 2.33,
|
504 |
+
"eval_accuracy": 0.9869748062770142,
|
505 |
+
"eval_f1": 0.9211694730669348,
|
506 |
+
"eval_loss": 0.056650131940841675,
|
507 |
+
"eval_precision": 0.9170975813177648,
|
508 |
+
"eval_recall": 0.9252776842813868,
|
509 |
+
"eval_runtime": 21.5295,
|
510 |
+
"eval_samples_per_second": 150.956,
|
511 |
+
"eval_steps_per_second": 4.738,
|
512 |
+
"step": 1025
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 2.39,
|
516 |
+
"eval_accuracy": 0.9870916241579378,
|
517 |
+
"eval_f1": 0.9243514644351465,
|
518 |
+
"eval_loss": 0.0570232979953289,
|
519 |
+
"eval_precision": 0.9192743009320905,
|
520 |
+
"eval_recall": 0.9294850218781555,
|
521 |
+
"eval_runtime": 21.5481,
|
522 |
+
"eval_samples_per_second": 150.825,
|
523 |
+
"eval_steps_per_second": 4.734,
|
524 |
+
"step": 1050
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 2.45,
|
528 |
+
"eval_accuracy": 0.986682761574705,
|
529 |
+
"eval_f1": 0.9215079829474212,
|
530 |
+
"eval_loss": 0.05837239325046539,
|
531 |
+
"eval_precision": 0.9154625477495433,
|
532 |
+
"eval_recall": 0.9276337933355773,
|
533 |
+
"eval_runtime": 21.2288,
|
534 |
+
"eval_samples_per_second": 153.094,
|
535 |
+
"eval_steps_per_second": 4.805,
|
536 |
+
"step": 1075
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 2.51,
|
540 |
+
"eval_accuracy": 0.9867022312215257,
|
541 |
+
"eval_f1": 0.9226653289858708,
|
542 |
+
"eval_loss": 0.059072330594062805,
|
543 |
+
"eval_precision": 0.9167635819903639,
|
544 |
+
"eval_recall": 0.9286435543588017,
|
545 |
+
"eval_runtime": 22.3224,
|
546 |
+
"eval_samples_per_second": 145.594,
|
547 |
+
"eval_steps_per_second": 4.569,
|
548 |
+
"step": 1100
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 2.56,
|
552 |
+
"eval_accuracy": 0.9874031385070675,
|
553 |
+
"eval_f1": 0.9246323529411764,
|
554 |
+
"eval_loss": 0.057747144252061844,
|
555 |
+
"eval_precision": 0.9181878526385662,
|
556 |
+
"eval_recall": 0.931167956916863,
|
557 |
+
"eval_runtime": 21.9739,
|
558 |
+
"eval_samples_per_second": 147.903,
|
559 |
+
"eval_steps_per_second": 4.642,
|
560 |
+
"step": 1125
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 2.62,
|
564 |
+
"eval_accuracy": 0.987033215217476,
|
565 |
+
"eval_f1": 0.9233344492802142,
|
566 |
+
"eval_loss": 0.057037804275751114,
|
567 |
+
"eval_precision": 0.9184149184149184,
|
568 |
+
"eval_recall": 0.9283069673510602,
|
569 |
+
"eval_runtime": 21.3838,
|
570 |
+
"eval_samples_per_second": 151.984,
|
571 |
+
"eval_steps_per_second": 4.77,
|
572 |
+
"step": 1150
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 2.68,
|
576 |
+
"eval_accuracy": 0.987227911685682,
|
577 |
+
"eval_f1": 0.9244541119384256,
|
578 |
+
"eval_loss": 0.05629764869809151,
|
579 |
+
"eval_precision": 0.9191482282482116,
|
580 |
+
"eval_recall": 0.929821608885897,
|
581 |
+
"eval_runtime": 21.8946,
|
582 |
+
"eval_samples_per_second": 148.438,
|
583 |
+
"eval_steps_per_second": 4.659,
|
584 |
+
"step": 1175
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 2.73,
|
588 |
+
"eval_accuracy": 0.9871500330983995,
|
589 |
+
"eval_f1": 0.9246449456975774,
|
590 |
+
"eval_loss": 0.05648628994822502,
|
591 |
+
"eval_precision": 0.918049104180491,
|
592 |
+
"eval_recall": 0.9313362504207338,
|
593 |
+
"eval_runtime": 21.2748,
|
594 |
+
"eval_samples_per_second": 152.763,
|
595 |
+
"eval_steps_per_second": 4.794,
|
596 |
+
"step": 1200
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 2.79,
|
600 |
+
"eval_accuracy": 0.9873447295666057,
|
601 |
+
"eval_f1": 0.9243767776476494,
|
602 |
+
"eval_loss": 0.055928729474544525,
|
603 |
+
"eval_precision": 0.9189953426480373,
|
604 |
+
"eval_recall": 0.929821608885897,
|
605 |
+
"eval_runtime": 21.5883,
|
606 |
+
"eval_samples_per_second": 150.545,
|
607 |
+
"eval_steps_per_second": 4.725,
|
608 |
+
"step": 1225
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 2.85,
|
612 |
+
"eval_accuracy": 0.9873057902729645,
|
613 |
+
"eval_f1": 0.9238748536054878,
|
614 |
+
"eval_loss": 0.05620228126645088,
|
615 |
+
"eval_precision": 0.9184963406520292,
|
616 |
+
"eval_recall": 0.9293167283742848,
|
617 |
+
"eval_runtime": 21.3558,
|
618 |
+
"eval_samples_per_second": 152.184,
|
619 |
+
"eval_steps_per_second": 4.776,
|
620 |
+
"step": 1250
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 2.9,
|
624 |
+
"eval_accuracy": 0.9871500330983995,
|
625 |
+
"eval_f1": 0.922961104140527,
|
626 |
+
"eval_loss": 0.05639491230249405,
|
627 |
+
"eval_precision": 0.9175120572093797,
|
628 |
+
"eval_recall": 0.928475260854931,
|
629 |
+
"eval_runtime": 21.3856,
|
630 |
+
"eval_samples_per_second": 151.972,
|
631 |
+
"eval_steps_per_second": 4.77,
|
632 |
+
"step": 1275
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 2.96,
|
636 |
+
"eval_accuracy": 0.9873057902729645,
|
637 |
+
"eval_f1": 0.9237330657300552,
|
638 |
+
"eval_loss": 0.05629625543951988,
|
639 |
+
"eval_precision": 0.9180518617021277,
|
640 |
+
"eval_recall": 0.9294850218781555,
|
641 |
+
"eval_runtime": 21.6582,
|
642 |
+
"eval_samples_per_second": 150.059,
|
643 |
+
"eval_steps_per_second": 4.71,
|
644 |
+
"step": 1300
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 3.0,
|
648 |
+
"step": 1317,
|
649 |
+
"total_flos": 1368370122693444.0,
|
650 |
+
"train_loss": 0.07309725869308391,
|
651 |
+
"train_runtime": 1743.2547,
|
652 |
+
"train_samples_per_second": 24.163,
|
653 |
+
"train_steps_per_second": 0.755
|
654 |
+
}
|
655 |
+
],
|
656 |
+
"max_steps": 1317,
|
657 |
+
"num_train_epochs": 3,
|
658 |
+
"total_flos": 1368370122693444.0,
|
659 |
+
"trial_name": null,
|
660 |
+
"trial_params": null
|
661 |
+
}
|