End of training
Browse files- all_results.json +12 -0
- eval_results.json +8 -0
- runs/Jul05_13-49-06_u20/events.out.tfevents.1688539432.u20.2776403.1 +3 -0
- train_results.json +7 -0
- trainer_state.json +844 -0
all_results.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"eval_accuracy": 0.8195488721804511,
|
4 |
+
"eval_loss": 0.9759521484375,
|
5 |
+
"eval_runtime": 59.1239,
|
6 |
+
"eval_samples_per_second": 2.25,
|
7 |
+
"eval_steps_per_second": 0.575,
|
8 |
+
"train_loss": 1.017018985011863,
|
9 |
+
"train_runtime": 3198.9902,
|
10 |
+
"train_samples_per_second": 1.616,
|
11 |
+
"train_steps_per_second": 0.405
|
12 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"eval_accuracy": 0.8195488721804511,
|
4 |
+
"eval_loss": 0.9759521484375,
|
5 |
+
"eval_runtime": 59.1239,
|
6 |
+
"eval_samples_per_second": 2.25,
|
7 |
+
"eval_steps_per_second": 0.575
|
8 |
+
}
|
runs/Jul05_13-49-06_u20/events.out.tfevents.1688539432.u20.2776403.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8efbb53e4c9f7ef2f7c9dc8b8459fad11962e1f7c08e624a3bdd3fedd526b572
|
3 |
+
size 363
|
train_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"train_loss": 1.017018985011863,
|
4 |
+
"train_runtime": 3198.9902,
|
5 |
+
"train_samples_per_second": 1.616,
|
6 |
+
"train_steps_per_second": 0.405
|
7 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,844 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9759521484375,
|
3 |
+
"best_model_checkpoint": "./beans_outputs_1/checkpoint-1295",
|
4 |
+
"epoch": 5.0,
|
5 |
+
"global_step": 1295,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.04,
|
12 |
+
"learning_rate": 1.9845559845559848e-05,
|
13 |
+
"loss": 1.106,
|
14 |
+
"step": 10
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.08,
|
18 |
+
"learning_rate": 1.9691119691119695e-05,
|
19 |
+
"loss": 1.1028,
|
20 |
+
"step": 20
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.12,
|
24 |
+
"learning_rate": 1.9536679536679538e-05,
|
25 |
+
"loss": 1.0825,
|
26 |
+
"step": 30
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.15,
|
30 |
+
"learning_rate": 1.938223938223938e-05,
|
31 |
+
"loss": 1.1019,
|
32 |
+
"step": 40
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.19,
|
36 |
+
"learning_rate": 1.9227799227799228e-05,
|
37 |
+
"loss": 1.0847,
|
38 |
+
"step": 50
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.23,
|
42 |
+
"learning_rate": 1.9073359073359075e-05,
|
43 |
+
"loss": 1.0689,
|
44 |
+
"step": 60
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.27,
|
48 |
+
"learning_rate": 1.891891891891892e-05,
|
49 |
+
"loss": 1.0911,
|
50 |
+
"step": 70
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.31,
|
54 |
+
"learning_rate": 1.8764478764478768e-05,
|
55 |
+
"loss": 1.0968,
|
56 |
+
"step": 80
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.35,
|
60 |
+
"learning_rate": 1.861003861003861e-05,
|
61 |
+
"loss": 1.0731,
|
62 |
+
"step": 90
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.39,
|
66 |
+
"learning_rate": 1.8455598455598458e-05,
|
67 |
+
"loss": 1.0753,
|
68 |
+
"step": 100
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.42,
|
72 |
+
"learning_rate": 1.83011583011583e-05,
|
73 |
+
"loss": 1.0795,
|
74 |
+
"step": 110
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.46,
|
78 |
+
"learning_rate": 1.8146718146718147e-05,
|
79 |
+
"loss": 1.0757,
|
80 |
+
"step": 120
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.5,
|
84 |
+
"learning_rate": 1.7992277992277994e-05,
|
85 |
+
"loss": 1.0769,
|
86 |
+
"step": 130
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.54,
|
90 |
+
"learning_rate": 1.783783783783784e-05,
|
91 |
+
"loss": 1.0742,
|
92 |
+
"step": 140
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.58,
|
96 |
+
"learning_rate": 1.7683397683397684e-05,
|
97 |
+
"loss": 1.0649,
|
98 |
+
"step": 150
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.62,
|
102 |
+
"learning_rate": 1.752895752895753e-05,
|
103 |
+
"loss": 1.0669,
|
104 |
+
"step": 160
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.66,
|
108 |
+
"learning_rate": 1.7374517374517377e-05,
|
109 |
+
"loss": 1.0599,
|
110 |
+
"step": 170
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.69,
|
114 |
+
"learning_rate": 1.722007722007722e-05,
|
115 |
+
"loss": 1.057,
|
116 |
+
"step": 180
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.73,
|
120 |
+
"learning_rate": 1.7065637065637067e-05,
|
121 |
+
"loss": 1.0733,
|
122 |
+
"step": 190
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.77,
|
126 |
+
"learning_rate": 1.6911196911196913e-05,
|
127 |
+
"loss": 1.0602,
|
128 |
+
"step": 200
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.81,
|
132 |
+
"learning_rate": 1.6756756756756757e-05,
|
133 |
+
"loss": 1.0651,
|
134 |
+
"step": 210
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.85,
|
138 |
+
"learning_rate": 1.6602316602316603e-05,
|
139 |
+
"loss": 1.0482,
|
140 |
+
"step": 220
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.89,
|
144 |
+
"learning_rate": 1.644787644787645e-05,
|
145 |
+
"loss": 1.0514,
|
146 |
+
"step": 230
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.93,
|
150 |
+
"learning_rate": 1.6293436293436296e-05,
|
151 |
+
"loss": 1.0653,
|
152 |
+
"step": 240
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.97,
|
156 |
+
"learning_rate": 1.613899613899614e-05,
|
157 |
+
"loss": 1.0596,
|
158 |
+
"step": 250
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 1.0,
|
162 |
+
"eval_accuracy": 0.7142857142857143,
|
163 |
+
"eval_loss": 1.0507243871688843,
|
164 |
+
"eval_runtime": 60.3908,
|
165 |
+
"eval_samples_per_second": 2.202,
|
166 |
+
"eval_steps_per_second": 0.563,
|
167 |
+
"step": 259
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"epoch": 1.0,
|
171 |
+
"learning_rate": 1.5984555984555986e-05,
|
172 |
+
"loss": 1.0574,
|
173 |
+
"step": 260
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 1.04,
|
177 |
+
"learning_rate": 1.583011583011583e-05,
|
178 |
+
"loss": 1.0497,
|
179 |
+
"step": 270
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 1.08,
|
183 |
+
"learning_rate": 1.5675675675675676e-05,
|
184 |
+
"loss": 1.0488,
|
185 |
+
"step": 280
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 1.12,
|
189 |
+
"learning_rate": 1.5521235521235523e-05,
|
190 |
+
"loss": 1.0416,
|
191 |
+
"step": 290
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 1.16,
|
195 |
+
"learning_rate": 1.536679536679537e-05,
|
196 |
+
"loss": 1.0478,
|
197 |
+
"step": 300
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 1.2,
|
201 |
+
"learning_rate": 1.5212355212355214e-05,
|
202 |
+
"loss": 1.0349,
|
203 |
+
"step": 310
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 1.24,
|
207 |
+
"learning_rate": 1.5057915057915061e-05,
|
208 |
+
"loss": 1.0518,
|
209 |
+
"step": 320
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 1.27,
|
213 |
+
"learning_rate": 1.4903474903474904e-05,
|
214 |
+
"loss": 1.0354,
|
215 |
+
"step": 330
|
216 |
+
},
|
217 |
+
{
|
218 |
+
"epoch": 1.31,
|
219 |
+
"learning_rate": 1.4749034749034749e-05,
|
220 |
+
"loss": 1.0478,
|
221 |
+
"step": 340
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 1.35,
|
225 |
+
"learning_rate": 1.4594594594594596e-05,
|
226 |
+
"loss": 1.064,
|
227 |
+
"step": 350
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 1.39,
|
231 |
+
"learning_rate": 1.444015444015444e-05,
|
232 |
+
"loss": 1.0362,
|
233 |
+
"step": 360
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 1.43,
|
237 |
+
"learning_rate": 1.4285714285714287e-05,
|
238 |
+
"loss": 1.0351,
|
239 |
+
"step": 370
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 1.47,
|
243 |
+
"learning_rate": 1.4131274131274134e-05,
|
244 |
+
"loss": 1.0423,
|
245 |
+
"step": 380
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 1.51,
|
249 |
+
"learning_rate": 1.3976833976833979e-05,
|
250 |
+
"loss": 1.0345,
|
251 |
+
"step": 390
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 1.54,
|
255 |
+
"learning_rate": 1.3822393822393822e-05,
|
256 |
+
"loss": 1.0271,
|
257 |
+
"step": 400
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 1.58,
|
261 |
+
"learning_rate": 1.3667953667953668e-05,
|
262 |
+
"loss": 1.0337,
|
263 |
+
"step": 410
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 1.62,
|
267 |
+
"learning_rate": 1.3513513513513515e-05,
|
268 |
+
"loss": 1.0158,
|
269 |
+
"step": 420
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 1.66,
|
273 |
+
"learning_rate": 1.335907335907336e-05,
|
274 |
+
"loss": 1.0421,
|
275 |
+
"step": 430
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 1.7,
|
279 |
+
"learning_rate": 1.3204633204633207e-05,
|
280 |
+
"loss": 1.0309,
|
281 |
+
"step": 440
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 1.74,
|
285 |
+
"learning_rate": 1.3050193050193052e-05,
|
286 |
+
"loss": 1.0097,
|
287 |
+
"step": 450
|
288 |
+
},
|
289 |
+
{
|
290 |
+
"epoch": 1.78,
|
291 |
+
"learning_rate": 1.2895752895752898e-05,
|
292 |
+
"loss": 1.0157,
|
293 |
+
"step": 460
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 1.81,
|
297 |
+
"learning_rate": 1.2741312741312741e-05,
|
298 |
+
"loss": 1.0195,
|
299 |
+
"step": 470
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 1.85,
|
303 |
+
"learning_rate": 1.2586872586872588e-05,
|
304 |
+
"loss": 1.0279,
|
305 |
+
"step": 480
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 1.89,
|
309 |
+
"learning_rate": 1.2432432432432433e-05,
|
310 |
+
"loss": 1.0187,
|
311 |
+
"step": 490
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 1.93,
|
315 |
+
"learning_rate": 1.227799227799228e-05,
|
316 |
+
"loss": 1.015,
|
317 |
+
"step": 500
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 1.97,
|
321 |
+
"learning_rate": 1.2123552123552124e-05,
|
322 |
+
"loss": 1.0165,
|
323 |
+
"step": 510
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 2.0,
|
327 |
+
"eval_accuracy": 0.7894736842105263,
|
328 |
+
"eval_loss": 1.0165094137191772,
|
329 |
+
"eval_runtime": 57.5347,
|
330 |
+
"eval_samples_per_second": 2.312,
|
331 |
+
"eval_steps_per_second": 0.591,
|
332 |
+
"step": 518
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 2.01,
|
336 |
+
"learning_rate": 1.1969111969111971e-05,
|
337 |
+
"loss": 1.0331,
|
338 |
+
"step": 520
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 2.05,
|
342 |
+
"learning_rate": 1.1814671814671816e-05,
|
343 |
+
"loss": 1.0241,
|
344 |
+
"step": 530
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 2.08,
|
348 |
+
"learning_rate": 1.166023166023166e-05,
|
349 |
+
"loss": 1.0185,
|
350 |
+
"step": 540
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 2.12,
|
354 |
+
"learning_rate": 1.1505791505791506e-05,
|
355 |
+
"loss": 1.0257,
|
356 |
+
"step": 550
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 2.16,
|
360 |
+
"learning_rate": 1.1351351351351352e-05,
|
361 |
+
"loss": 1.0213,
|
362 |
+
"step": 560
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 2.2,
|
366 |
+
"learning_rate": 1.1196911196911197e-05,
|
367 |
+
"loss": 1.0278,
|
368 |
+
"step": 570
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 2.24,
|
372 |
+
"learning_rate": 1.1042471042471044e-05,
|
373 |
+
"loss": 1.0307,
|
374 |
+
"step": 580
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 2.28,
|
378 |
+
"learning_rate": 1.0888030888030889e-05,
|
379 |
+
"loss": 1.0054,
|
380 |
+
"step": 590
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 2.32,
|
384 |
+
"learning_rate": 1.0733590733590735e-05,
|
385 |
+
"loss": 1.0094,
|
386 |
+
"step": 600
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 2.36,
|
390 |
+
"learning_rate": 1.057915057915058e-05,
|
391 |
+
"loss": 0.9994,
|
392 |
+
"step": 610
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 2.39,
|
396 |
+
"learning_rate": 1.0424710424710425e-05,
|
397 |
+
"loss": 1.0235,
|
398 |
+
"step": 620
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 2.43,
|
402 |
+
"learning_rate": 1.027027027027027e-05,
|
403 |
+
"loss": 1.0063,
|
404 |
+
"step": 630
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 2.47,
|
408 |
+
"learning_rate": 1.0115830115830117e-05,
|
409 |
+
"loss": 0.9763,
|
410 |
+
"step": 640
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 2.51,
|
414 |
+
"learning_rate": 9.961389961389962e-06,
|
415 |
+
"loss": 1.0209,
|
416 |
+
"step": 650
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 2.55,
|
420 |
+
"learning_rate": 9.806949806949808e-06,
|
421 |
+
"loss": 0.998,
|
422 |
+
"step": 660
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 2.59,
|
426 |
+
"learning_rate": 9.652509652509653e-06,
|
427 |
+
"loss": 1.0063,
|
428 |
+
"step": 670
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 2.63,
|
432 |
+
"learning_rate": 9.498069498069498e-06,
|
433 |
+
"loss": 1.0366,
|
434 |
+
"step": 680
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 2.66,
|
438 |
+
"learning_rate": 9.343629343629345e-06,
|
439 |
+
"loss": 1.0004,
|
440 |
+
"step": 690
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 2.7,
|
444 |
+
"learning_rate": 9.189189189189191e-06,
|
445 |
+
"loss": 1.0212,
|
446 |
+
"step": 700
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 2.74,
|
450 |
+
"learning_rate": 9.034749034749034e-06,
|
451 |
+
"loss": 1.002,
|
452 |
+
"step": 710
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 2.78,
|
456 |
+
"learning_rate": 8.880308880308881e-06,
|
457 |
+
"loss": 0.9824,
|
458 |
+
"step": 720
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 2.82,
|
462 |
+
"learning_rate": 8.725868725868728e-06,
|
463 |
+
"loss": 1.0043,
|
464 |
+
"step": 730
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 2.86,
|
468 |
+
"learning_rate": 8.571428571428571e-06,
|
469 |
+
"loss": 0.9829,
|
470 |
+
"step": 740
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 2.9,
|
474 |
+
"learning_rate": 8.416988416988418e-06,
|
475 |
+
"loss": 0.9977,
|
476 |
+
"step": 750
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 2.93,
|
480 |
+
"learning_rate": 8.262548262548264e-06,
|
481 |
+
"loss": 0.9996,
|
482 |
+
"step": 760
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 2.97,
|
486 |
+
"learning_rate": 8.108108108108109e-06,
|
487 |
+
"loss": 1.0113,
|
488 |
+
"step": 770
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 3.0,
|
492 |
+
"eval_accuracy": 0.8045112781954887,
|
493 |
+
"eval_loss": 0.9941034317016602,
|
494 |
+
"eval_runtime": 57.8525,
|
495 |
+
"eval_samples_per_second": 2.299,
|
496 |
+
"eval_steps_per_second": 0.588,
|
497 |
+
"step": 777
|
498 |
+
},
|
499 |
+
{
|
500 |
+
"epoch": 3.01,
|
501 |
+
"learning_rate": 7.953667953667954e-06,
|
502 |
+
"loss": 0.9685,
|
503 |
+
"step": 780
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 3.05,
|
507 |
+
"learning_rate": 7.7992277992278e-06,
|
508 |
+
"loss": 0.998,
|
509 |
+
"step": 790
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 3.09,
|
513 |
+
"learning_rate": 7.644787644787645e-06,
|
514 |
+
"loss": 0.9931,
|
515 |
+
"step": 800
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 3.13,
|
519 |
+
"learning_rate": 7.49034749034749e-06,
|
520 |
+
"loss": 0.9845,
|
521 |
+
"step": 810
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 3.17,
|
525 |
+
"learning_rate": 7.335907335907336e-06,
|
526 |
+
"loss": 0.9952,
|
527 |
+
"step": 820
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 3.2,
|
531 |
+
"learning_rate": 7.181467181467182e-06,
|
532 |
+
"loss": 0.9726,
|
533 |
+
"step": 830
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 3.24,
|
537 |
+
"learning_rate": 7.027027027027028e-06,
|
538 |
+
"loss": 0.9986,
|
539 |
+
"step": 840
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 3.28,
|
543 |
+
"learning_rate": 6.872586872586873e-06,
|
544 |
+
"loss": 0.9956,
|
545 |
+
"step": 850
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 3.32,
|
549 |
+
"learning_rate": 6.718146718146718e-06,
|
550 |
+
"loss": 1.0021,
|
551 |
+
"step": 860
|
552 |
+
},
|
553 |
+
{
|
554 |
+
"epoch": 3.36,
|
555 |
+
"learning_rate": 6.563706563706564e-06,
|
556 |
+
"loss": 0.9785,
|
557 |
+
"step": 870
|
558 |
+
},
|
559 |
+
{
|
560 |
+
"epoch": 3.4,
|
561 |
+
"learning_rate": 6.409266409266411e-06,
|
562 |
+
"loss": 1.0007,
|
563 |
+
"step": 880
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 3.44,
|
567 |
+
"learning_rate": 6.254826254826255e-06,
|
568 |
+
"loss": 0.9712,
|
569 |
+
"step": 890
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 3.47,
|
573 |
+
"learning_rate": 6.1003861003861005e-06,
|
574 |
+
"loss": 0.988,
|
575 |
+
"step": 900
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 3.51,
|
579 |
+
"learning_rate": 5.945945945945947e-06,
|
580 |
+
"loss": 0.9954,
|
581 |
+
"step": 910
|
582 |
+
},
|
583 |
+
{
|
584 |
+
"epoch": 3.55,
|
585 |
+
"learning_rate": 5.791505791505791e-06,
|
586 |
+
"loss": 0.9693,
|
587 |
+
"step": 920
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 3.59,
|
591 |
+
"learning_rate": 5.637065637065637e-06,
|
592 |
+
"loss": 1.0062,
|
593 |
+
"step": 930
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 3.63,
|
597 |
+
"learning_rate": 5.4826254826254836e-06,
|
598 |
+
"loss": 0.9875,
|
599 |
+
"step": 940
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 3.67,
|
603 |
+
"learning_rate": 5.328185328185329e-06,
|
604 |
+
"loss": 1.0029,
|
605 |
+
"step": 950
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 3.71,
|
609 |
+
"learning_rate": 5.173745173745173e-06,
|
610 |
+
"loss": 0.9766,
|
611 |
+
"step": 960
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 3.75,
|
615 |
+
"learning_rate": 5.01930501930502e-06,
|
616 |
+
"loss": 0.9875,
|
617 |
+
"step": 970
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 3.78,
|
621 |
+
"learning_rate": 4.864864864864866e-06,
|
622 |
+
"loss": 0.9631,
|
623 |
+
"step": 980
|
624 |
+
},
|
625 |
+
{
|
626 |
+
"epoch": 3.82,
|
627 |
+
"learning_rate": 4.710424710424711e-06,
|
628 |
+
"loss": 0.9838,
|
629 |
+
"step": 990
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"epoch": 3.86,
|
633 |
+
"learning_rate": 4.5559845559845564e-06,
|
634 |
+
"loss": 0.9694,
|
635 |
+
"step": 1000
|
636 |
+
},
|
637 |
+
{
|
638 |
+
"epoch": 3.9,
|
639 |
+
"learning_rate": 4.401544401544402e-06,
|
640 |
+
"loss": 1.0125,
|
641 |
+
"step": 1010
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 3.94,
|
645 |
+
"learning_rate": 4.247104247104247e-06,
|
646 |
+
"loss": 0.9848,
|
647 |
+
"step": 1020
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 3.98,
|
651 |
+
"learning_rate": 4.092664092664093e-06,
|
652 |
+
"loss": 1.0067,
|
653 |
+
"step": 1030
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 4.0,
|
657 |
+
"eval_accuracy": 0.8195488721804511,
|
658 |
+
"eval_loss": 0.9804362654685974,
|
659 |
+
"eval_runtime": 57.6615,
|
660 |
+
"eval_samples_per_second": 2.307,
|
661 |
+
"eval_steps_per_second": 0.59,
|
662 |
+
"step": 1036
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 4.02,
|
666 |
+
"learning_rate": 3.938223938223939e-06,
|
667 |
+
"loss": 0.9862,
|
668 |
+
"step": 1040
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 4.05,
|
672 |
+
"learning_rate": 3.7837837837837844e-06,
|
673 |
+
"loss": 0.968,
|
674 |
+
"step": 1050
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 4.09,
|
678 |
+
"learning_rate": 3.6293436293436297e-06,
|
679 |
+
"loss": 0.9788,
|
680 |
+
"step": 1060
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 4.13,
|
684 |
+
"learning_rate": 3.4749034749034755e-06,
|
685 |
+
"loss": 0.9988,
|
686 |
+
"step": 1070
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 4.17,
|
690 |
+
"learning_rate": 3.320463320463321e-06,
|
691 |
+
"loss": 0.9927,
|
692 |
+
"step": 1080
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 4.21,
|
696 |
+
"learning_rate": 3.166023166023166e-06,
|
697 |
+
"loss": 0.9883,
|
698 |
+
"step": 1090
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 4.25,
|
702 |
+
"learning_rate": 3.011583011583012e-06,
|
703 |
+
"loss": 0.9859,
|
704 |
+
"step": 1100
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 4.29,
|
708 |
+
"learning_rate": 2.8571428571428573e-06,
|
709 |
+
"loss": 0.9918,
|
710 |
+
"step": 1110
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 4.32,
|
714 |
+
"learning_rate": 2.702702702702703e-06,
|
715 |
+
"loss": 0.9805,
|
716 |
+
"step": 1120
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 4.36,
|
720 |
+
"learning_rate": 2.5482625482625484e-06,
|
721 |
+
"loss": 0.9869,
|
722 |
+
"step": 1130
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 4.4,
|
726 |
+
"learning_rate": 2.393822393822394e-06,
|
727 |
+
"loss": 1.0008,
|
728 |
+
"step": 1140
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 4.44,
|
732 |
+
"learning_rate": 2.2393822393822394e-06,
|
733 |
+
"loss": 0.9577,
|
734 |
+
"step": 1150
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 4.48,
|
738 |
+
"learning_rate": 2.084942084942085e-06,
|
739 |
+
"loss": 0.9531,
|
740 |
+
"step": 1160
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 4.52,
|
744 |
+
"learning_rate": 1.9305019305019305e-06,
|
745 |
+
"loss": 0.9739,
|
746 |
+
"step": 1170
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 4.56,
|
750 |
+
"learning_rate": 1.7760617760617763e-06,
|
751 |
+
"loss": 0.9914,
|
752 |
+
"step": 1180
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 4.59,
|
756 |
+
"learning_rate": 1.6216216216216219e-06,
|
757 |
+
"loss": 0.9602,
|
758 |
+
"step": 1190
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 4.63,
|
762 |
+
"learning_rate": 1.4671814671814674e-06,
|
763 |
+
"loss": 0.9821,
|
764 |
+
"step": 1200
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 4.67,
|
768 |
+
"learning_rate": 1.3127413127413127e-06,
|
769 |
+
"loss": 0.9576,
|
770 |
+
"step": 1210
|
771 |
+
},
|
772 |
+
{
|
773 |
+
"epoch": 4.71,
|
774 |
+
"learning_rate": 1.1583011583011585e-06,
|
775 |
+
"loss": 0.9677,
|
776 |
+
"step": 1220
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"epoch": 4.75,
|
780 |
+
"learning_rate": 1.0038610038610038e-06,
|
781 |
+
"loss": 0.9838,
|
782 |
+
"step": 1230
|
783 |
+
},
|
784 |
+
{
|
785 |
+
"epoch": 4.79,
|
786 |
+
"learning_rate": 8.494208494208495e-07,
|
787 |
+
"loss": 0.9762,
|
788 |
+
"step": 1240
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 4.83,
|
792 |
+
"learning_rate": 6.94980694980695e-07,
|
793 |
+
"loss": 0.9833,
|
794 |
+
"step": 1250
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 4.86,
|
798 |
+
"learning_rate": 5.405405405405406e-07,
|
799 |
+
"loss": 0.9839,
|
800 |
+
"step": 1260
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 4.9,
|
804 |
+
"learning_rate": 3.8610038610038613e-07,
|
805 |
+
"loss": 0.9802,
|
806 |
+
"step": 1270
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 4.94,
|
810 |
+
"learning_rate": 2.3166023166023168e-07,
|
811 |
+
"loss": 0.991,
|
812 |
+
"step": 1280
|
813 |
+
},
|
814 |
+
{
|
815 |
+
"epoch": 4.98,
|
816 |
+
"learning_rate": 7.722007722007723e-08,
|
817 |
+
"loss": 0.9746,
|
818 |
+
"step": 1290
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 5.0,
|
822 |
+
"eval_accuracy": 0.8195488721804511,
|
823 |
+
"eval_loss": 0.9759521484375,
|
824 |
+
"eval_runtime": 60.3048,
|
825 |
+
"eval_samples_per_second": 2.205,
|
826 |
+
"eval_steps_per_second": 0.564,
|
827 |
+
"step": 1295
|
828 |
+
},
|
829 |
+
{
|
830 |
+
"epoch": 5.0,
|
831 |
+
"step": 1295,
|
832 |
+
"total_flos": 2.945297577944494e+18,
|
833 |
+
"train_loss": 1.017018985011863,
|
834 |
+
"train_runtime": 3198.9902,
|
835 |
+
"train_samples_per_second": 1.616,
|
836 |
+
"train_steps_per_second": 0.405
|
837 |
+
}
|
838 |
+
],
|
839 |
+
"max_steps": 1295,
|
840 |
+
"num_train_epochs": 5,
|
841 |
+
"total_flos": 2.945297577944494e+18,
|
842 |
+
"trial_name": null,
|
843 |
+
"trial_params": null
|
844 |
+
}
|