SiddharthaM
commited on
Commit
•
6047fac
1
Parent(s):
1c0d312
End of training
Browse files
all_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"total_flos":
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 29.73,
|
3 |
+
"total_flos": 7.813276079484396e+17,
|
4 |
+
"train_loss": 0.042075487226247786,
|
5 |
+
"train_runtime": 801.9686,
|
6 |
+
"train_samples_per_second": 12.681,
|
7 |
+
"train_steps_per_second": 0.075
|
8 |
}
|
runs/Jul06_10-45-23_512daece0cbe/events.out.tfevents.1657104335.512daece0cbe.74.2
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:93052b3fd5b54caf4537ef8d09df42e8c0927af4608878f6a4bf41bf184442ea
|
3 |
+
size 15095
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"total_flos":
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 29.73,
|
3 |
+
"total_flos": 7.813276079484396e+17,
|
4 |
+
"train_loss": 0.042075487226247786,
|
5 |
+
"train_runtime": 801.9686,
|
6 |
+
"train_samples_per_second": 12.681,
|
7 |
+
"train_steps_per_second": 0.075
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,229 +1,331 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "beit-base-patch16-224-pt22k-ft22k-rim_one-new/checkpoint-
|
4 |
-
"epoch":
|
5 |
-
"global_step":
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
"epoch": 0.73,
|
12 |
-
"eval_accuracy": 0.
|
13 |
-
"eval_loss": 0.
|
14 |
-
"eval_runtime":
|
15 |
-
"eval_samples_per_second":
|
16 |
-
"eval_steps_per_second":
|
17 |
"step": 2
|
18 |
},
|
19 |
{
|
20 |
"epoch": 1.73,
|
21 |
-
"eval_accuracy": 0.
|
22 |
-
"eval_loss": 0.
|
23 |
-
"eval_runtime": 4.
|
24 |
-
"eval_samples_per_second":
|
25 |
-
"eval_steps_per_second": 1.
|
26 |
"step": 4
|
27 |
},
|
28 |
{
|
29 |
"epoch": 2.73,
|
30 |
-
"eval_accuracy": 0.
|
31 |
-
"eval_loss": 0.
|
32 |
-
"eval_runtime": 4.
|
33 |
-
"eval_samples_per_second":
|
34 |
-
"eval_steps_per_second": 1.
|
35 |
"step": 6
|
36 |
},
|
37 |
{
|
38 |
"epoch": 3.73,
|
39 |
-
"eval_accuracy": 0.
|
40 |
-
"eval_loss": 0.
|
41 |
-
"eval_runtime": 4.
|
42 |
-
"eval_samples_per_second":
|
43 |
-
"eval_steps_per_second": 1.
|
44 |
"step": 8
|
45 |
},
|
46 |
{
|
47 |
"epoch": 4.73,
|
48 |
-
"learning_rate":
|
49 |
-
"loss": 0.
|
50 |
"step": 10
|
51 |
},
|
52 |
{
|
53 |
"epoch": 4.73,
|
54 |
-
"eval_accuracy": 0.
|
55 |
-
"eval_loss": 0.
|
56 |
-
"eval_runtime": 4.
|
57 |
-
"eval_samples_per_second":
|
58 |
-
"eval_steps_per_second": 1.
|
59 |
"step": 10
|
60 |
},
|
61 |
{
|
62 |
"epoch": 5.73,
|
63 |
-
"eval_accuracy": 0.
|
64 |
-
"eval_loss": 0.
|
65 |
-
"eval_runtime": 4.
|
66 |
-
"eval_samples_per_second": 33.
|
67 |
"eval_steps_per_second": 1.156,
|
68 |
"step": 12
|
69 |
},
|
70 |
{
|
71 |
"epoch": 6.73,
|
72 |
-
"eval_accuracy": 0.
|
73 |
-
"eval_loss": 0.
|
74 |
-
"eval_runtime": 4.
|
75 |
-
"eval_samples_per_second": 33.
|
76 |
-
"eval_steps_per_second": 1.
|
77 |
"step": 14
|
78 |
},
|
79 |
{
|
80 |
"epoch": 7.73,
|
81 |
-
"eval_accuracy": 0.
|
82 |
-
"eval_loss": 0.
|
83 |
-
"eval_runtime": 4.
|
84 |
-
"eval_samples_per_second": 33.
|
85 |
-
"eval_steps_per_second": 1.
|
86 |
"step": 16
|
87 |
},
|
88 |
{
|
89 |
"epoch": 8.73,
|
90 |
-
"eval_accuracy": 0.
|
91 |
-
"eval_loss": 0.
|
92 |
-
"eval_runtime": 4.
|
93 |
-
"eval_samples_per_second": 33.
|
94 |
-
"eval_steps_per_second": 1.
|
95 |
"step": 18
|
96 |
},
|
97 |
{
|
98 |
"epoch": 9.73,
|
99 |
-
"learning_rate":
|
100 |
-
"loss": 0.
|
101 |
"step": 20
|
102 |
},
|
103 |
{
|
104 |
"epoch": 9.73,
|
105 |
-
"eval_accuracy": 0.
|
106 |
-
"eval_loss": 0.
|
107 |
-
"eval_runtime": 4.
|
108 |
-
"eval_samples_per_second": 33.
|
109 |
-
"eval_steps_per_second": 1.
|
110 |
"step": 20
|
111 |
},
|
112 |
{
|
113 |
"epoch": 10.73,
|
114 |
-
"eval_accuracy": 0.
|
115 |
-
"eval_loss": 0.
|
116 |
-
"eval_runtime": 4.
|
117 |
-
"eval_samples_per_second":
|
118 |
-
"eval_steps_per_second": 1.
|
119 |
"step": 22
|
120 |
},
|
121 |
{
|
122 |
"epoch": 11.73,
|
123 |
-
"eval_accuracy": 0.
|
124 |
-
"eval_loss": 0.
|
125 |
-
"eval_runtime": 4.
|
126 |
-
"eval_samples_per_second": 33.
|
127 |
-
"eval_steps_per_second": 1.
|
128 |
"step": 24
|
129 |
},
|
130 |
{
|
131 |
"epoch": 12.73,
|
132 |
-
"eval_accuracy": 0.
|
133 |
-
"eval_loss": 0.
|
134 |
-
"eval_runtime": 4.
|
135 |
-
"eval_samples_per_second": 35.
|
136 |
-
"eval_steps_per_second": 1.
|
137 |
"step": 26
|
138 |
},
|
139 |
{
|
140 |
"epoch": 13.73,
|
141 |
-
"eval_accuracy": 0.
|
142 |
-
"eval_loss": 0.
|
143 |
-
"eval_runtime": 4.
|
144 |
-
"eval_samples_per_second": 35.
|
145 |
-
"eval_steps_per_second": 1.
|
146 |
"step": 28
|
147 |
},
|
148 |
{
|
149 |
"epoch": 14.73,
|
150 |
"learning_rate": 2.777777777777778e-05,
|
151 |
-
"loss": 0.
|
152 |
"step": 30
|
153 |
},
|
154 |
{
|
155 |
"epoch": 14.73,
|
156 |
"eval_accuracy": 0.910958904109589,
|
157 |
-
"eval_loss": 0.
|
158 |
-
"eval_runtime": 4.
|
159 |
-
"eval_samples_per_second":
|
160 |
-
"eval_steps_per_second": 1.
|
161 |
"step": 30
|
162 |
},
|
163 |
{
|
164 |
"epoch": 15.73,
|
165 |
-
"eval_accuracy": 0.
|
166 |
-
"eval_loss": 0.
|
167 |
-
"eval_runtime": 4.
|
168 |
-
"eval_samples_per_second":
|
169 |
-
"eval_steps_per_second": 1.
|
170 |
"step": 32
|
171 |
},
|
172 |
{
|
173 |
"epoch": 16.73,
|
174 |
"eval_accuracy": 0.9041095890410958,
|
175 |
-
"eval_loss": 0.
|
176 |
-
"eval_runtime": 4.
|
177 |
-
"eval_samples_per_second": 35.
|
178 |
-
"eval_steps_per_second": 1.
|
179 |
"step": 34
|
180 |
},
|
181 |
{
|
182 |
"epoch": 17.73,
|
183 |
-
"eval_accuracy": 0.
|
184 |
-
"eval_loss": 0.
|
185 |
-
"eval_runtime": 4.
|
186 |
-
"eval_samples_per_second": 35.
|
187 |
-
"eval_steps_per_second": 1.
|
188 |
"step": 36
|
189 |
},
|
190 |
{
|
191 |
"epoch": 18.73,
|
192 |
-
"eval_accuracy": 0.
|
193 |
-
"eval_loss": 0.
|
194 |
-
"eval_runtime": 4.
|
195 |
-
"eval_samples_per_second":
|
196 |
-
"eval_steps_per_second": 1.
|
197 |
"step": 38
|
198 |
},
|
199 |
{
|
200 |
"epoch": 19.73,
|
201 |
-
"learning_rate":
|
202 |
-
"loss": 0.
|
203 |
"step": 40
|
204 |
},
|
205 |
{
|
206 |
"epoch": 19.73,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
207 |
"eval_accuracy": 0.8972602739726028,
|
208 |
-
"eval_loss": 0.
|
209 |
-
"eval_runtime": 4.
|
210 |
-
"eval_samples_per_second": 35.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
211 |
"eval_steps_per_second": 1.213,
|
212 |
-
"step":
|
213 |
},
|
214 |
{
|
215 |
-
"epoch":
|
216 |
-
"
|
217 |
-
"
|
218 |
-
"
|
219 |
-
|
220 |
-
|
221 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
222 |
}
|
223 |
],
|
224 |
-
"max_steps":
|
225 |
-
"num_train_epochs":
|
226 |
-
"total_flos":
|
227 |
"trial_name": null,
|
228 |
"trial_params": null
|
229 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.9178082191780822,
|
3 |
+
"best_model_checkpoint": "beit-base-patch16-224-pt22k-ft22k-rim_one-new/checkpoint-2",
|
4 |
+
"epoch": 29.727272727272727,
|
5 |
+
"global_step": 60,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
"epoch": 0.73,
|
12 |
+
"eval_accuracy": 0.9178082191780822,
|
13 |
+
"eval_loss": 0.24113720655441284,
|
14 |
+
"eval_runtime": 4.0491,
|
15 |
+
"eval_samples_per_second": 36.057,
|
16 |
+
"eval_steps_per_second": 1.235,
|
17 |
"step": 2
|
18 |
},
|
19 |
{
|
20 |
"epoch": 1.73,
|
21 |
+
"eval_accuracy": 0.8972602739726028,
|
22 |
+
"eval_loss": 0.21820734441280365,
|
23 |
+
"eval_runtime": 4.3715,
|
24 |
+
"eval_samples_per_second": 33.398,
|
25 |
+
"eval_steps_per_second": 1.144,
|
26 |
"step": 4
|
27 |
},
|
28 |
{
|
29 |
"epoch": 2.73,
|
30 |
+
"eval_accuracy": 0.8972602739726028,
|
31 |
+
"eval_loss": 0.3085276186466217,
|
32 |
+
"eval_runtime": 4.3762,
|
33 |
+
"eval_samples_per_second": 33.362,
|
34 |
+
"eval_steps_per_second": 1.143,
|
35 |
"step": 6
|
36 |
},
|
37 |
{
|
38 |
"epoch": 3.73,
|
39 |
+
"eval_accuracy": 0.8972602739726028,
|
40 |
+
"eval_loss": 0.27944016456604004,
|
41 |
+
"eval_runtime": 4.3106,
|
42 |
+
"eval_samples_per_second": 33.87,
|
43 |
+
"eval_steps_per_second": 1.16,
|
44 |
"step": 8
|
45 |
},
|
46 |
{
|
47 |
"epoch": 4.73,
|
48 |
+
"learning_rate": 4.62962962962963e-05,
|
49 |
+
"loss": 0.1392,
|
50 |
"step": 10
|
51 |
},
|
52 |
{
|
53 |
"epoch": 4.73,
|
54 |
+
"eval_accuracy": 0.910958904109589,
|
55 |
+
"eval_loss": 0.23977190256118774,
|
56 |
+
"eval_runtime": 4.3753,
|
57 |
+
"eval_samples_per_second": 33.369,
|
58 |
+
"eval_steps_per_second": 1.143,
|
59 |
"step": 10
|
60 |
},
|
61 |
{
|
62 |
"epoch": 5.73,
|
63 |
+
"eval_accuracy": 0.8972602739726028,
|
64 |
+
"eval_loss": 0.29249313473701477,
|
65 |
+
"eval_runtime": 4.3239,
|
66 |
+
"eval_samples_per_second": 33.766,
|
67 |
"eval_steps_per_second": 1.156,
|
68 |
"step": 12
|
69 |
},
|
70 |
{
|
71 |
"epoch": 6.73,
|
72 |
+
"eval_accuracy": 0.910958904109589,
|
73 |
+
"eval_loss": 0.2797797918319702,
|
74 |
+
"eval_runtime": 4.3315,
|
75 |
+
"eval_samples_per_second": 33.707,
|
76 |
+
"eval_steps_per_second": 1.154,
|
77 |
"step": 14
|
78 |
},
|
79 |
{
|
80 |
"epoch": 7.73,
|
81 |
+
"eval_accuracy": 0.9178082191780822,
|
82 |
+
"eval_loss": 0.21835216879844666,
|
83 |
+
"eval_runtime": 4.3475,
|
84 |
+
"eval_samples_per_second": 33.582,
|
85 |
+
"eval_steps_per_second": 1.15,
|
86 |
"step": 16
|
87 |
},
|
88 |
{
|
89 |
"epoch": 8.73,
|
90 |
+
"eval_accuracy": 0.910958904109589,
|
91 |
+
"eval_loss": 0.30065301060676575,
|
92 |
+
"eval_runtime": 4.3333,
|
93 |
+
"eval_samples_per_second": 33.693,
|
94 |
+
"eval_steps_per_second": 1.154,
|
95 |
"step": 18
|
96 |
},
|
97 |
{
|
98 |
"epoch": 9.73,
|
99 |
+
"learning_rate": 3.7037037037037037e-05,
|
100 |
+
"loss": 0.0416,
|
101 |
"step": 20
|
102 |
},
|
103 |
{
|
104 |
"epoch": 9.73,
|
105 |
+
"eval_accuracy": 0.9041095890410958,
|
106 |
+
"eval_loss": 0.3344126045703888,
|
107 |
+
"eval_runtime": 4.366,
|
108 |
+
"eval_samples_per_second": 33.44,
|
109 |
+
"eval_steps_per_second": 1.145,
|
110 |
"step": 20
|
111 |
},
|
112 |
{
|
113 |
"epoch": 10.73,
|
114 |
+
"eval_accuracy": 0.910958904109589,
|
115 |
+
"eval_loss": 0.36264100670814514,
|
116 |
+
"eval_runtime": 4.3578,
|
117 |
+
"eval_samples_per_second": 33.503,
|
118 |
+
"eval_steps_per_second": 1.147,
|
119 |
"step": 22
|
120 |
},
|
121 |
{
|
122 |
"epoch": 11.73,
|
123 |
+
"eval_accuracy": 0.8904109589041096,
|
124 |
+
"eval_loss": 0.48421263694763184,
|
125 |
+
"eval_runtime": 4.3873,
|
126 |
+
"eval_samples_per_second": 33.278,
|
127 |
+
"eval_steps_per_second": 1.14,
|
128 |
"step": 24
|
129 |
},
|
130 |
{
|
131 |
"epoch": 12.73,
|
132 |
+
"eval_accuracy": 0.8972602739726028,
|
133 |
+
"eval_loss": 0.36641207337379456,
|
134 |
+
"eval_runtime": 4.1126,
|
135 |
+
"eval_samples_per_second": 35.5,
|
136 |
+
"eval_steps_per_second": 1.216,
|
137 |
"step": 26
|
138 |
},
|
139 |
{
|
140 |
"epoch": 13.73,
|
141 |
+
"eval_accuracy": 0.910958904109589,
|
142 |
+
"eval_loss": 0.3457633852958679,
|
143 |
+
"eval_runtime": 4.131,
|
144 |
+
"eval_samples_per_second": 35.342,
|
145 |
+
"eval_steps_per_second": 1.21,
|
146 |
"step": 28
|
147 |
},
|
148 |
{
|
149 |
"epoch": 14.73,
|
150 |
"learning_rate": 2.777777777777778e-05,
|
151 |
+
"loss": 0.0263,
|
152 |
"step": 30
|
153 |
},
|
154 |
{
|
155 |
"epoch": 14.73,
|
156 |
"eval_accuracy": 0.910958904109589,
|
157 |
+
"eval_loss": 0.28100982308387756,
|
158 |
+
"eval_runtime": 4.0812,
|
159 |
+
"eval_samples_per_second": 35.773,
|
160 |
+
"eval_steps_per_second": 1.225,
|
161 |
"step": 30
|
162 |
},
|
163 |
{
|
164 |
"epoch": 15.73,
|
165 |
+
"eval_accuracy": 0.8698630136986302,
|
166 |
+
"eval_loss": 0.4695476293563843,
|
167 |
+
"eval_runtime": 4.0905,
|
168 |
+
"eval_samples_per_second": 35.692,
|
169 |
+
"eval_steps_per_second": 1.222,
|
170 |
"step": 32
|
171 |
},
|
172 |
{
|
173 |
"epoch": 16.73,
|
174 |
"eval_accuracy": 0.9041095890410958,
|
175 |
+
"eval_loss": 0.3723364770412445,
|
176 |
+
"eval_runtime": 4.1081,
|
177 |
+
"eval_samples_per_second": 35.539,
|
178 |
+
"eval_steps_per_second": 1.217,
|
179 |
"step": 34
|
180 |
},
|
181 |
{
|
182 |
"epoch": 17.73,
|
183 |
+
"eval_accuracy": 0.9041095890410958,
|
184 |
+
"eval_loss": 0.34467366337776184,
|
185 |
+
"eval_runtime": 4.1554,
|
186 |
+
"eval_samples_per_second": 35.135,
|
187 |
+
"eval_steps_per_second": 1.203,
|
188 |
"step": 36
|
189 |
},
|
190 |
{
|
191 |
"epoch": 18.73,
|
192 |
+
"eval_accuracy": 0.8904109589041096,
|
193 |
+
"eval_loss": 0.37077629566192627,
|
194 |
+
"eval_runtime": 4.0887,
|
195 |
+
"eval_samples_per_second": 35.708,
|
196 |
+
"eval_steps_per_second": 1.223,
|
197 |
"step": 38
|
198 |
},
|
199 |
{
|
200 |
"epoch": 19.73,
|
201 |
+
"learning_rate": 1.8518518518518518e-05,
|
202 |
+
"loss": 0.0264,
|
203 |
"step": 40
|
204 |
},
|
205 |
{
|
206 |
"epoch": 19.73,
|
207 |
+
"eval_accuracy": 0.910958904109589,
|
208 |
+
"eval_loss": 0.4051611125469208,
|
209 |
+
"eval_runtime": 4.1078,
|
210 |
+
"eval_samples_per_second": 35.542,
|
211 |
+
"eval_steps_per_second": 1.217,
|
212 |
+
"step": 40
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 20.73,
|
216 |
+
"eval_accuracy": 0.9041095890410958,
|
217 |
+
"eval_loss": 0.44917088747024536,
|
218 |
+
"eval_runtime": 4.0898,
|
219 |
+
"eval_samples_per_second": 35.699,
|
220 |
+
"eval_steps_per_second": 1.223,
|
221 |
+
"step": 42
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 21.73,
|
225 |
+
"eval_accuracy": 0.8904109589041096,
|
226 |
+
"eval_loss": 0.4648548662662506,
|
227 |
+
"eval_runtime": 4.151,
|
228 |
+
"eval_samples_per_second": 35.173,
|
229 |
+
"eval_steps_per_second": 1.205,
|
230 |
+
"step": 44
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 22.73,
|
234 |
+
"eval_accuracy": 0.9178082191780822,
|
235 |
+
"eval_loss": 0.4061222970485687,
|
236 |
+
"eval_runtime": 4.1096,
|
237 |
+
"eval_samples_per_second": 35.527,
|
238 |
+
"eval_steps_per_second": 1.217,
|
239 |
+
"step": 46
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 23.73,
|
243 |
+
"eval_accuracy": 0.910958904109589,
|
244 |
+
"eval_loss": 0.4136480391025543,
|
245 |
+
"eval_runtime": 4.0895,
|
246 |
+
"eval_samples_per_second": 35.701,
|
247 |
+
"eval_steps_per_second": 1.223,
|
248 |
+
"step": 48
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 24.73,
|
252 |
+
"learning_rate": 9.259259259259259e-06,
|
253 |
+
"loss": 0.0139,
|
254 |
+
"step": 50
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 24.73,
|
258 |
"eval_accuracy": 0.8972602739726028,
|
259 |
+
"eval_loss": 0.41833144426345825,
|
260 |
+
"eval_runtime": 4.0666,
|
261 |
+
"eval_samples_per_second": 35.903,
|
262 |
+
"eval_steps_per_second": 1.23,
|
263 |
+
"step": 50
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 25.73,
|
267 |
+
"eval_accuracy": 0.8904109589041096,
|
268 |
+
"eval_loss": 0.4503590762615204,
|
269 |
+
"eval_runtime": 4.105,
|
270 |
+
"eval_samples_per_second": 35.567,
|
271 |
+
"eval_steps_per_second": 1.218,
|
272 |
+
"step": 52
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 26.73,
|
276 |
+
"eval_accuracy": 0.8972602739726028,
|
277 |
+
"eval_loss": 0.43678611516952515,
|
278 |
+
"eval_runtime": 4.1124,
|
279 |
+
"eval_samples_per_second": 35.503,
|
280 |
+
"eval_steps_per_second": 1.216,
|
281 |
+
"step": 54
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 27.73,
|
285 |
+
"eval_accuracy": 0.910958904109589,
|
286 |
+
"eval_loss": 0.4710823893547058,
|
287 |
+
"eval_runtime": 4.126,
|
288 |
+
"eval_samples_per_second": 35.385,
|
289 |
+
"eval_steps_per_second": 1.212,
|
290 |
+
"step": 56
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 28.73,
|
294 |
+
"eval_accuracy": 0.910958904109589,
|
295 |
+
"eval_loss": 0.39282917976379395,
|
296 |
+
"eval_runtime": 4.1214,
|
297 |
+
"eval_samples_per_second": 35.425,
|
298 |
"eval_steps_per_second": 1.213,
|
299 |
+
"step": 58
|
300 |
},
|
301 |
{
|
302 |
+
"epoch": 29.73,
|
303 |
+
"learning_rate": 0.0,
|
304 |
+
"loss": 0.005,
|
305 |
+
"step": 60
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 29.73,
|
309 |
+
"eval_accuracy": 0.8767123287671232,
|
310 |
+
"eval_loss": 0.45500674843788147,
|
311 |
+
"eval_runtime": 4.1417,
|
312 |
+
"eval_samples_per_second": 35.251,
|
313 |
+
"eval_steps_per_second": 1.207,
|
314 |
+
"step": 60
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 29.73,
|
318 |
+
"step": 60,
|
319 |
+
"total_flos": 7.813276079484396e+17,
|
320 |
+
"train_loss": 0.042075487226247786,
|
321 |
+
"train_runtime": 801.9686,
|
322 |
+
"train_samples_per_second": 12.681,
|
323 |
+
"train_steps_per_second": 0.075
|
324 |
}
|
325 |
],
|
326 |
+
"max_steps": 60,
|
327 |
+
"num_train_epochs": 30,
|
328 |
+
"total_flos": 7.813276079484396e+17,
|
329 |
"trial_name": null,
|
330 |
"trial_params": null
|
331 |
}
|