aalonso-developer
commited on
Commit
•
3c52601
1
Parent(s):
36f2f81
🍻 cheers
Browse files
all_results.json
CHANGED
@@ -1,12 +1,12 @@
|
|
1 |
{
|
2 |
"epoch": 5.0,
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss":
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second":
|
8 |
-
"train_loss":
|
9 |
-
"train_runtime":
|
10 |
-
"train_samples_per_second":
|
11 |
-
"train_steps_per_second":
|
12 |
}
|
|
|
1 |
{
|
2 |
"epoch": 5.0,
|
3 |
+
"eval_accuracy": 0.044844754857893646,
|
4 |
+
"eval_loss": 6.141994476318359,
|
5 |
+
"eval_runtime": 145.3561,
|
6 |
+
"eval_samples_per_second": 198.973,
|
7 |
+
"eval_steps_per_second": 24.877,
|
8 |
+
"train_loss": 6.8843976465667565,
|
9 |
+
"train_runtime": 17474.7904,
|
10 |
+
"train_samples_per_second": 66.203,
|
11 |
+
"train_steps_per_second": 2.069
|
12 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 5.0,
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss":
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second":
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 5.0,
|
3 |
+
"eval_accuracy": 0.044844754857893646,
|
4 |
+
"eval_loss": 6.141994476318359,
|
5 |
+
"eval_runtime": 145.3561,
|
6 |
+
"eval_samples_per_second": 198.973,
|
7 |
+
"eval_steps_per_second": 24.877
|
8 |
}
|
runs/May26_21-32-23_adrian-development/events.out.tfevents.1685147186.adrian-development.12758.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f296a6505dabbb69cdab57e4e6290bb23ab27b4ebb18b8eba00b1fd83c5de107
|
3 |
+
size 369
|
train_results.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
"epoch": 5.0,
|
3 |
-
"train_loss":
|
4 |
-
"train_runtime":
|
5 |
-
"train_samples_per_second":
|
6 |
-
"train_steps_per_second":
|
7 |
}
|
|
|
1 |
{
|
2 |
"epoch": 5.0,
|
3 |
+
"train_loss": 6.8843976465667565,
|
4 |
+
"train_runtime": 17474.7904,
|
5 |
+
"train_samples_per_second": 66.203,
|
6 |
+
"train_steps_per_second": 2.069
|
7 |
}
|
trainer_state.json
CHANGED
@@ -1,70 +1,565 @@
|
|
1 |
{
|
2 |
-
"best_metric":
|
3 |
-
"best_model_checkpoint": "Transformers/vit-base-clothing-leafs-example/checkpoint-
|
4 |
"epoch": 5.0,
|
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":
|
12 |
-
"learning_rate": 0.
|
13 |
-
"loss":
|
14 |
"step": 1000
|
15 |
},
|
16 |
{
|
17 |
-
"epoch":
|
18 |
-
"eval_accuracy": 0.
|
19 |
-
"eval_loss":
|
20 |
-
"eval_runtime":
|
21 |
-
"eval_samples_per_second":
|
22 |
-
"eval_steps_per_second":
|
23 |
"step": 1000
|
24 |
},
|
25 |
{
|
26 |
-
"epoch":
|
27 |
-
"learning_rate":
|
28 |
-
"loss":
|
29 |
"step": 2000
|
30 |
},
|
31 |
{
|
32 |
-
"epoch":
|
33 |
-
"eval_accuracy": 0.
|
34 |
-
"eval_loss":
|
35 |
-
"eval_runtime":
|
36 |
-
"eval_samples_per_second":
|
37 |
-
"eval_steps_per_second":
|
38 |
"step": 2000
|
39 |
},
|
40 |
{
|
41 |
-
"epoch":
|
42 |
-
"learning_rate":
|
43 |
-
"loss":
|
44 |
"step": 3000
|
45 |
},
|
46 |
{
|
47 |
-
"epoch":
|
48 |
-
"eval_accuracy": 0.
|
49 |
-
"eval_loss":
|
50 |
-
"eval_runtime":
|
51 |
-
"eval_samples_per_second":
|
52 |
-
"eval_steps_per_second":
|
53 |
"step": 3000
|
54 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
55 |
{
|
56 |
"epoch": 5.0,
|
57 |
-
"step":
|
58 |
-
"total_flos": 9.
|
59 |
-
"train_loss":
|
60 |
-
"train_runtime":
|
61 |
-
"train_samples_per_second":
|
62 |
-
"train_steps_per_second":
|
63 |
}
|
64 |
],
|
65 |
-
"max_steps":
|
66 |
"num_train_epochs": 5,
|
67 |
-
"total_flos": 9.
|
68 |
"trial_name": null,
|
69 |
"trial_params": null
|
70 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 6.141994476318359,
|
3 |
+
"best_model_checkpoint": "Transformers/vit-base-clothing-leafs-example/checkpoint-36000",
|
4 |
"epoch": 5.0,
|
5 |
+
"global_step": 36155,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
+
"epoch": 0.14,
|
12 |
+
"learning_rate": 0.0001944682616512239,
|
13 |
+
"loss": 8.6059,
|
14 |
"step": 1000
|
15 |
},
|
16 |
{
|
17 |
+
"epoch": 0.14,
|
18 |
+
"eval_accuracy": 0.0002420302883618007,
|
19 |
+
"eval_loss": 8.584440231323242,
|
20 |
+
"eval_runtime": 155.6325,
|
21 |
+
"eval_samples_per_second": 185.835,
|
22 |
+
"eval_steps_per_second": 23.234,
|
23 |
"step": 1000
|
24 |
},
|
25 |
{
|
26 |
+
"epoch": 0.28,
|
27 |
+
"learning_rate": 0.0001889365233024478,
|
28 |
+
"loss": 8.5506,
|
29 |
"step": 2000
|
30 |
},
|
31 |
{
|
32 |
+
"epoch": 0.28,
|
33 |
+
"eval_accuracy": 0.00100269690892746,
|
34 |
+
"eval_loss": 8.518888473510742,
|
35 |
+
"eval_runtime": 153.9354,
|
36 |
+
"eval_samples_per_second": 187.884,
|
37 |
+
"eval_steps_per_second": 23.49,
|
38 |
"step": 2000
|
39 |
},
|
40 |
{
|
41 |
+
"epoch": 0.41,
|
42 |
+
"learning_rate": 0.00018341584843036926,
|
43 |
+
"loss": 8.4931,
|
44 |
"step": 3000
|
45 |
},
|
46 |
{
|
47 |
+
"epoch": 0.41,
|
48 |
+
"eval_accuracy": 0.0012101514418090035,
|
49 |
+
"eval_loss": 8.464128494262695,
|
50 |
+
"eval_runtime": 157.4956,
|
51 |
+
"eval_samples_per_second": 183.637,
|
52 |
+
"eval_steps_per_second": 22.959,
|
53 |
"step": 3000
|
54 |
},
|
55 |
+
{
|
56 |
+
"epoch": 0.55,
|
57 |
+
"learning_rate": 0.00017788411008159315,
|
58 |
+
"loss": 8.4223,
|
59 |
+
"step": 4000
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.55,
|
63 |
+
"eval_accuracy": 0.0016250605075720905,
|
64 |
+
"eval_loss": 8.349540710449219,
|
65 |
+
"eval_runtime": 156.3508,
|
66 |
+
"eval_samples_per_second": 184.982,
|
67 |
+
"eval_steps_per_second": 23.127,
|
68 |
+
"step": 4000
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.69,
|
72 |
+
"learning_rate": 0.00017235237173281705,
|
73 |
+
"loss": 8.3144,
|
74 |
+
"step": 5000
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.69,
|
78 |
+
"eval_accuracy": 0.0020745453288154346,
|
79 |
+
"eval_loss": 8.255170822143555,
|
80 |
+
"eval_runtime": 157.1252,
|
81 |
+
"eval_samples_per_second": 184.07,
|
82 |
+
"eval_steps_per_second": 23.013,
|
83 |
+
"step": 5000
|
84 |
+
},
|
85 |
+
{
|
86 |
+
"epoch": 0.83,
|
87 |
+
"learning_rate": 0.00016682063338404094,
|
88 |
+
"loss": 8.1936,
|
89 |
+
"step": 6000
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 0.83,
|
93 |
+
"eval_accuracy": 0.0023511513726574926,
|
94 |
+
"eval_loss": 8.138504981994629,
|
95 |
+
"eval_runtime": 157.2716,
|
96 |
+
"eval_samples_per_second": 183.898,
|
97 |
+
"eval_steps_per_second": 22.992,
|
98 |
+
"step": 6000
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.97,
|
102 |
+
"learning_rate": 0.00016128889503526483,
|
103 |
+
"loss": 8.0638,
|
104 |
+
"step": 7000
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.97,
|
108 |
+
"eval_accuracy": 0.002835211949381094,
|
109 |
+
"eval_loss": 7.992447376251221,
|
110 |
+
"eval_runtime": 156.9147,
|
111 |
+
"eval_samples_per_second": 184.317,
|
112 |
+
"eval_steps_per_second": 23.044,
|
113 |
+
"step": 7000
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 1.11,
|
117 |
+
"learning_rate": 0.00015575715668648873,
|
118 |
+
"loss": 7.8485,
|
119 |
+
"step": 8000
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 1.11,
|
123 |
+
"eval_accuracy": 0.0036304543254270104,
|
124 |
+
"eval_loss": 7.836571216583252,
|
125 |
+
"eval_runtime": 155.7627,
|
126 |
+
"eval_samples_per_second": 185.68,
|
127 |
+
"eval_steps_per_second": 23.215,
|
128 |
+
"step": 8000
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 1.24,
|
132 |
+
"learning_rate": 0.00015022541833771265,
|
133 |
+
"loss": 7.6933,
|
134 |
+
"step": 9000
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 1.24,
|
138 |
+
"eval_accuracy": 0.004494848212433442,
|
139 |
+
"eval_loss": 7.659491062164307,
|
140 |
+
"eval_runtime": 156.4028,
|
141 |
+
"eval_samples_per_second": 184.92,
|
142 |
+
"eval_steps_per_second": 23.12,
|
143 |
+
"step": 9000
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 1.38,
|
147 |
+
"learning_rate": 0.00014469367998893652,
|
148 |
+
"loss": 7.5808,
|
149 |
+
"step": 10000
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 1.38,
|
153 |
+
"eval_accuracy": 0.00615448447548579,
|
154 |
+
"eval_loss": 7.523160934448242,
|
155 |
+
"eval_runtime": 155.1944,
|
156 |
+
"eval_samples_per_second": 186.36,
|
157 |
+
"eval_steps_per_second": 23.3,
|
158 |
+
"step": 10000
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 1.52,
|
162 |
+
"learning_rate": 0.0001391674733785092,
|
163 |
+
"loss": 7.4352,
|
164 |
+
"step": 11000
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 1.52,
|
168 |
+
"eval_accuracy": 0.00701887836249222,
|
169 |
+
"eval_loss": 7.381638526916504,
|
170 |
+
"eval_runtime": 156.5342,
|
171 |
+
"eval_samples_per_second": 184.765,
|
172 |
+
"eval_steps_per_second": 23.1,
|
173 |
+
"step": 11000
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 1.66,
|
177 |
+
"learning_rate": 0.0001336357350297331,
|
178 |
+
"loss": 7.3279,
|
179 |
+
"step": 12000
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 1.66,
|
183 |
+
"eval_accuracy": 0.008436484337182767,
|
184 |
+
"eval_loss": 7.285288333892822,
|
185 |
+
"eval_runtime": 157.1769,
|
186 |
+
"eval_samples_per_second": 184.009,
|
187 |
+
"eval_steps_per_second": 23.006,
|
188 |
+
"step": 12000
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 1.8,
|
192 |
+
"learning_rate": 0.000128103996680957,
|
193 |
+
"loss": 7.2141,
|
194 |
+
"step": 13000
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 1.8,
|
198 |
+
"eval_accuracy": 0.010511029665998203,
|
199 |
+
"eval_loss": 7.1552510261535645,
|
200 |
+
"eval_runtime": 155.9751,
|
201 |
+
"eval_samples_per_second": 185.427,
|
202 |
+
"eval_steps_per_second": 23.183,
|
203 |
+
"step": 13000
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 1.94,
|
207 |
+
"learning_rate": 0.0001225722583321809,
|
208 |
+
"loss": 7.151,
|
209 |
+
"step": 14000
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 1.94,
|
213 |
+
"eval_accuracy": 0.011859484129728235,
|
214 |
+
"eval_loss": 7.085327625274658,
|
215 |
+
"eval_runtime": 156.2266,
|
216 |
+
"eval_samples_per_second": 185.129,
|
217 |
+
"eval_steps_per_second": 23.146,
|
218 |
+
"step": 14000
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 2.07,
|
222 |
+
"learning_rate": 0.00011704605172175355,
|
223 |
+
"loss": 6.9695,
|
224 |
+
"step": 15000
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 2.07,
|
228 |
+
"eval_accuracy": 0.013380817370859553,
|
229 |
+
"eval_loss": 7.008819103240967,
|
230 |
+
"eval_runtime": 155.749,
|
231 |
+
"eval_samples_per_second": 185.696,
|
232 |
+
"eval_steps_per_second": 23.217,
|
233 |
+
"step": 15000
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 2.21,
|
237 |
+
"learning_rate": 0.00011151984511132624,
|
238 |
+
"loss": 6.8563,
|
239 |
+
"step": 16000
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 2.21,
|
243 |
+
"eval_accuracy": 0.013934029458543669,
|
244 |
+
"eval_loss": 6.940927982330322,
|
245 |
+
"eval_runtime": 155.6806,
|
246 |
+
"eval_samples_per_second": 185.778,
|
247 |
+
"eval_steps_per_second": 23.227,
|
248 |
+
"step": 16000
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 2.35,
|
252 |
+
"learning_rate": 0.00010598810676255014,
|
253 |
+
"loss": 6.8019,
|
254 |
+
"step": 17000
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 2.35,
|
258 |
+
"eval_accuracy": 0.01583569600995782,
|
259 |
+
"eval_loss": 6.863400936126709,
|
260 |
+
"eval_runtime": 156.1188,
|
261 |
+
"eval_samples_per_second": 185.256,
|
262 |
+
"eval_steps_per_second": 23.162,
|
263 |
+
"step": 17000
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 2.49,
|
267 |
+
"learning_rate": 0.00010045636841377403,
|
268 |
+
"loss": 6.7372,
|
269 |
+
"step": 18000
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 2.49,
|
273 |
+
"eval_accuracy": 0.017495332273010165,
|
274 |
+
"eval_loss": 6.800116539001465,
|
275 |
+
"eval_runtime": 156.6848,
|
276 |
+
"eval_samples_per_second": 184.587,
|
277 |
+
"eval_steps_per_second": 23.078,
|
278 |
+
"step": 18000
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 2.63,
|
282 |
+
"learning_rate": 9.492463006499794e-05,
|
283 |
+
"loss": 6.6903,
|
284 |
+
"step": 19000
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 2.63,
|
288 |
+
"eval_accuracy": 0.019120392780582255,
|
289 |
+
"eval_loss": 6.7322998046875,
|
290 |
+
"eval_runtime": 156.774,
|
291 |
+
"eval_samples_per_second": 184.482,
|
292 |
+
"eval_steps_per_second": 23.065,
|
293 |
+
"step": 19000
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 2.77,
|
297 |
+
"learning_rate": 8.93984234545706e-05,
|
298 |
+
"loss": 6.6482,
|
299 |
+
"step": 20000
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 2.77,
|
303 |
+
"eval_accuracy": 0.020710877532674088,
|
304 |
+
"eval_loss": 6.66375732421875,
|
305 |
+
"eval_runtime": 156.4579,
|
306 |
+
"eval_samples_per_second": 184.855,
|
307 |
+
"eval_steps_per_second": 23.112,
|
308 |
+
"step": 20000
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 2.9,
|
312 |
+
"learning_rate": 8.38666851057945e-05,
|
313 |
+
"loss": 6.5669,
|
314 |
+
"step": 21000
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 2.9,
|
318 |
+
"eval_accuracy": 0.023891847036857754,
|
319 |
+
"eval_loss": 6.609040260314941,
|
320 |
+
"eval_runtime": 155.2279,
|
321 |
+
"eval_samples_per_second": 186.32,
|
322 |
+
"eval_steps_per_second": 23.295,
|
323 |
+
"step": 21000
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 3.04,
|
327 |
+
"learning_rate": 7.834047849536717e-05,
|
328 |
+
"loss": 6.4484,
|
329 |
+
"step": 22000
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 3.04,
|
333 |
+
"eval_accuracy": 0.023995574303298527,
|
334 |
+
"eval_loss": 6.544083595275879,
|
335 |
+
"eval_runtime": 155.967,
|
336 |
+
"eval_samples_per_second": 185.437,
|
337 |
+
"eval_steps_per_second": 23.184,
|
338 |
+
"step": 22000
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 3.18,
|
342 |
+
"learning_rate": 7.281427188493984e-05,
|
343 |
+
"loss": 6.2568,
|
344 |
+
"step": 23000
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 3.18,
|
348 |
+
"eval_accuracy": 0.02734942258488348,
|
349 |
+
"eval_loss": 6.501514911651611,
|
350 |
+
"eval_runtime": 156.6432,
|
351 |
+
"eval_samples_per_second": 184.636,
|
352 |
+
"eval_steps_per_second": 23.084,
|
353 |
+
"step": 23000
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 3.32,
|
357 |
+
"learning_rate": 6.728253353616373e-05,
|
358 |
+
"loss": 6.2452,
|
359 |
+
"step": 24000
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 3.32,
|
363 |
+
"eval_accuracy": 0.030426664822626376,
|
364 |
+
"eval_loss": 6.458929061889648,
|
365 |
+
"eval_runtime": 156.5343,
|
366 |
+
"eval_samples_per_second": 184.765,
|
367 |
+
"eval_steps_per_second": 23.1,
|
368 |
+
"step": 24000
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 3.46,
|
372 |
+
"learning_rate": 6.175632692573642e-05,
|
373 |
+
"loss": 6.2002,
|
374 |
+
"step": 25000
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 3.46,
|
378 |
+
"eval_accuracy": 0.031049028421271004,
|
379 |
+
"eval_loss": 6.431183815002441,
|
380 |
+
"eval_runtime": 156.3543,
|
381 |
+
"eval_samples_per_second": 184.977,
|
382 |
+
"eval_steps_per_second": 23.127,
|
383 |
+
"step": 25000
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 3.6,
|
387 |
+
"learning_rate": 5.622458857696031e-05,
|
388 |
+
"loss": 6.1699,
|
389 |
+
"step": 26000
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 3.6,
|
393 |
+
"eval_accuracy": 0.03194799806375769,
|
394 |
+
"eval_loss": 6.372282981872559,
|
395 |
+
"eval_runtime": 156.6121,
|
396 |
+
"eval_samples_per_second": 184.673,
|
397 |
+
"eval_steps_per_second": 23.089,
|
398 |
+
"step": 26000
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 3.73,
|
402 |
+
"learning_rate": 5.0692850228184205e-05,
|
403 |
+
"loss": 6.1284,
|
404 |
+
"step": 27000
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 3.73,
|
408 |
+
"eval_accuracy": 0.03429914943641518,
|
409 |
+
"eval_loss": 6.332355976104736,
|
410 |
+
"eval_runtime": 156.1088,
|
411 |
+
"eval_samples_per_second": 185.268,
|
412 |
+
"eval_steps_per_second": 23.163,
|
413 |
+
"step": 27000
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 3.87,
|
417 |
+
"learning_rate": 4.516664361775688e-05,
|
418 |
+
"loss": 6.1186,
|
419 |
+
"step": 28000
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 3.87,
|
423 |
+
"eval_accuracy": 0.034956088790540074,
|
424 |
+
"eval_loss": 6.3029093742370605,
|
425 |
+
"eval_runtime": 154.5904,
|
426 |
+
"eval_samples_per_second": 187.088,
|
427 |
+
"eval_steps_per_second": 23.391,
|
428 |
+
"step": 28000
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 4.01,
|
432 |
+
"learning_rate": 3.963490526898078e-05,
|
433 |
+
"loss": 6.0611,
|
434 |
+
"step": 29000
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 4.01,
|
438 |
+
"eval_accuracy": 0.03810248253924348,
|
439 |
+
"eval_loss": 6.272293567657471,
|
440 |
+
"eval_runtime": 156.0431,
|
441 |
+
"eval_samples_per_second": 185.346,
|
442 |
+
"eval_steps_per_second": 23.173,
|
443 |
+
"step": 29000
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 4.15,
|
447 |
+
"learning_rate": 3.410316692020468e-05,
|
448 |
+
"loss": 5.7883,
|
449 |
+
"step": 30000
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 4.15,
|
453 |
+
"eval_accuracy": 0.03827536131664477,
|
454 |
+
"eval_loss": 6.252718925476074,
|
455 |
+
"eval_runtime": 145.8769,
|
456 |
+
"eval_samples_per_second": 198.263,
|
457 |
+
"eval_steps_per_second": 24.788,
|
458 |
+
"step": 30000
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 4.29,
|
462 |
+
"learning_rate": 2.8576960309777352e-05,
|
463 |
+
"loss": 5.7684,
|
464 |
+
"step": 31000
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 4.29,
|
468 |
+
"eval_accuracy": 0.03924348247009197,
|
469 |
+
"eval_loss": 6.218559741973877,
|
470 |
+
"eval_runtime": 146.1199,
|
471 |
+
"eval_samples_per_second": 197.933,
|
472 |
+
"eval_steps_per_second": 24.747,
|
473 |
+
"step": 31000
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 4.43,
|
477 |
+
"learning_rate": 2.3045221961001246e-05,
|
478 |
+
"loss": 5.7701,
|
479 |
+
"step": 32000
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 4.43,
|
483 |
+
"eval_accuracy": 0.04031533088997995,
|
484 |
+
"eval_loss": 6.203105926513672,
|
485 |
+
"eval_runtime": 145.5537,
|
486 |
+
"eval_samples_per_second": 198.703,
|
487 |
+
"eval_steps_per_second": 24.843,
|
488 |
+
"step": 32000
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 4.56,
|
492 |
+
"learning_rate": 1.751901535057392e-05,
|
493 |
+
"loss": 5.7473,
|
494 |
+
"step": 33000
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 4.56,
|
498 |
+
"eval_accuracy": 0.04304681557292027,
|
499 |
+
"eval_loss": 6.177652359008789,
|
500 |
+
"eval_runtime": 145.7844,
|
501 |
+
"eval_samples_per_second": 198.389,
|
502 |
+
"eval_steps_per_second": 24.804,
|
503 |
+
"step": 33000
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 4.7,
|
507 |
+
"learning_rate": 1.1987277001797816e-05,
|
508 |
+
"loss": 5.735,
|
509 |
+
"step": 34000
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 4.7,
|
513 |
+
"eval_accuracy": 0.044187815503768754,
|
514 |
+
"eval_loss": 6.163440704345703,
|
515 |
+
"eval_runtime": 146.1075,
|
516 |
+
"eval_samples_per_second": 197.95,
|
517 |
+
"eval_steps_per_second": 24.749,
|
518 |
+
"step": 34000
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 4.84,
|
522 |
+
"learning_rate": 6.455538653021713e-06,
|
523 |
+
"loss": 5.7324,
|
524 |
+
"step": 35000
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 4.84,
|
528 |
+
"eval_accuracy": 0.04429154277020953,
|
529 |
+
"eval_loss": 6.149352073669434,
|
530 |
+
"eval_runtime": 145.8359,
|
531 |
+
"eval_samples_per_second": 198.319,
|
532 |
+
"eval_steps_per_second": 24.795,
|
533 |
+
"step": 35000
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 4.98,
|
537 |
+
"learning_rate": 9.238003042456093e-07,
|
538 |
+
"loss": 5.6949,
|
539 |
+
"step": 36000
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 4.98,
|
543 |
+
"eval_accuracy": 0.044844754857893646,
|
544 |
+
"eval_loss": 6.141994476318359,
|
545 |
+
"eval_runtime": 145.8687,
|
546 |
+
"eval_samples_per_second": 198.274,
|
547 |
+
"eval_steps_per_second": 24.789,
|
548 |
+
"step": 36000
|
549 |
+
},
|
550 |
{
|
551 |
"epoch": 5.0,
|
552 |
+
"step": 36155,
|
553 |
+
"total_flos": 9.416417849072317e+19,
|
554 |
+
"train_loss": 6.8843976465667565,
|
555 |
+
"train_runtime": 17474.7904,
|
556 |
+
"train_samples_per_second": 66.203,
|
557 |
+
"train_steps_per_second": 2.069
|
558 |
}
|
559 |
],
|
560 |
+
"max_steps": 36155,
|
561 |
"num_train_epochs": 5,
|
562 |
+
"total_flos": 9.416417849072317e+19,
|
563 |
"trial_name": null,
|
564 |
"trial_params": null
|
565 |
}
|