End of training
Browse files
all_results.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.99,
|
3 |
+
"eval_accuracy": 0.969,
|
4 |
+
"eval_loss": 0.09590400755405426,
|
5 |
+
"eval_runtime": 37.5657,
|
6 |
+
"eval_samples_per_second": 133.1,
|
7 |
+
"eval_steps_per_second": 4.179,
|
8 |
+
"total_flos": 3.3497451642252165e+18,
|
9 |
+
"train_loss": 0.5486761254009924,
|
10 |
+
"train_runtime": 2094.2938,
|
11 |
+
"train_samples_per_second": 64.461,
|
12 |
+
"train_steps_per_second": 0.503
|
13 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.99,
|
3 |
+
"eval_accuracy": 0.969,
|
4 |
+
"eval_loss": 0.09590400755405426,
|
5 |
+
"eval_runtime": 37.5657,
|
6 |
+
"eval_samples_per_second": 133.1,
|
7 |
+
"eval_steps_per_second": 4.179
|
8 |
+
}
|
runs/Apr04_11-34-14_4533f753bd30/events.out.tfevents.1712234888.4533f753bd30.10253.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fdfc34e86c5765fada6d863949ebe94625b51709830f68427c67c7c73da630bd
|
3 |
+
size 411
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.99,
|
3 |
+
"total_flos": 3.3497451642252165e+18,
|
4 |
+
"train_loss": 0.5486761254009924,
|
5 |
+
"train_runtime": 2094.2938,
|
6 |
+
"train_samples_per_second": 64.461,
|
7 |
+
"train_steps_per_second": 0.503
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,792 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.969,
|
3 |
+
"best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-1053",
|
4 |
+
"epoch": 2.9936034115138592,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1053,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.03,
|
13 |
+
"grad_norm": 5.63645601272583,
|
14 |
+
"learning_rate": 4.716981132075472e-06,
|
15 |
+
"loss": 2.3306,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.06,
|
20 |
+
"grad_norm": 6.468899726867676,
|
21 |
+
"learning_rate": 9.433962264150944e-06,
|
22 |
+
"loss": 2.2678,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.09,
|
27 |
+
"grad_norm": 6.23107385635376,
|
28 |
+
"learning_rate": 1.4150943396226415e-05,
|
29 |
+
"loss": 2.1477,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.11,
|
34 |
+
"grad_norm": 6.676746368408203,
|
35 |
+
"learning_rate": 1.8867924528301888e-05,
|
36 |
+
"loss": 1.9591,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.14,
|
41 |
+
"grad_norm": 10.20413875579834,
|
42 |
+
"learning_rate": 2.358490566037736e-05,
|
43 |
+
"loss": 1.6696,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.17,
|
48 |
+
"grad_norm": 12.014700889587402,
|
49 |
+
"learning_rate": 2.830188679245283e-05,
|
50 |
+
"loss": 1.3329,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.2,
|
55 |
+
"grad_norm": 13.840166091918945,
|
56 |
+
"learning_rate": 3.30188679245283e-05,
|
57 |
+
"loss": 1.1415,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.23,
|
62 |
+
"grad_norm": 14.116910934448242,
|
63 |
+
"learning_rate": 3.7735849056603776e-05,
|
64 |
+
"loss": 1.024,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.26,
|
69 |
+
"grad_norm": 10.790963172912598,
|
70 |
+
"learning_rate": 4.245283018867925e-05,
|
71 |
+
"loss": 0.9195,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.28,
|
76 |
+
"grad_norm": 14.884149551391602,
|
77 |
+
"learning_rate": 4.716981132075472e-05,
|
78 |
+
"loss": 0.8209,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.31,
|
83 |
+
"grad_norm": 14.443344116210938,
|
84 |
+
"learning_rate": 4.978880675818374e-05,
|
85 |
+
"loss": 0.7393,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.34,
|
90 |
+
"grad_norm": 15.056041717529297,
|
91 |
+
"learning_rate": 4.9260823653643085e-05,
|
92 |
+
"loss": 0.7175,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.37,
|
97 |
+
"grad_norm": 10.33287525177002,
|
98 |
+
"learning_rate": 4.8732840549102435e-05,
|
99 |
+
"loss": 0.7329,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.4,
|
104 |
+
"grad_norm": 12.791647911071777,
|
105 |
+
"learning_rate": 4.820485744456177e-05,
|
106 |
+
"loss": 0.7075,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.43,
|
111 |
+
"grad_norm": 12.029749870300293,
|
112 |
+
"learning_rate": 4.767687434002112e-05,
|
113 |
+
"loss": 0.6584,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.45,
|
118 |
+
"grad_norm": 11.643570899963379,
|
119 |
+
"learning_rate": 4.7148891235480466e-05,
|
120 |
+
"loss": 0.6047,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.48,
|
125 |
+
"grad_norm": 19.02515983581543,
|
126 |
+
"learning_rate": 4.662090813093981e-05,
|
127 |
+
"loss": 0.6052,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.51,
|
132 |
+
"grad_norm": 10.113385200500488,
|
133 |
+
"learning_rate": 4.609292502639916e-05,
|
134 |
+
"loss": 0.6043,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.54,
|
139 |
+
"grad_norm": 12.620966911315918,
|
140 |
+
"learning_rate": 4.55649419218585e-05,
|
141 |
+
"loss": 0.5803,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.57,
|
146 |
+
"grad_norm": 8.98147201538086,
|
147 |
+
"learning_rate": 4.503695881731785e-05,
|
148 |
+
"loss": 0.5365,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.6,
|
153 |
+
"grad_norm": 11.942453384399414,
|
154 |
+
"learning_rate": 4.45089757127772e-05,
|
155 |
+
"loss": 0.6061,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.63,
|
160 |
+
"grad_norm": 8.406760215759277,
|
161 |
+
"learning_rate": 4.398099260823654e-05,
|
162 |
+
"loss": 0.4963,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.65,
|
167 |
+
"grad_norm": 8.798361778259277,
|
168 |
+
"learning_rate": 4.3453009503695884e-05,
|
169 |
+
"loss": 0.552,
|
170 |
+
"step": 230
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.68,
|
174 |
+
"grad_norm": 8.614947319030762,
|
175 |
+
"learning_rate": 4.292502639915523e-05,
|
176 |
+
"loss": 0.5015,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.71,
|
181 |
+
"grad_norm": 9.218803405761719,
|
182 |
+
"learning_rate": 4.239704329461457e-05,
|
183 |
+
"loss": 0.5246,
|
184 |
+
"step": 250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.74,
|
188 |
+
"grad_norm": 9.763008117675781,
|
189 |
+
"learning_rate": 4.186906019007392e-05,
|
190 |
+
"loss": 0.5188,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.77,
|
195 |
+
"grad_norm": 10.057807922363281,
|
196 |
+
"learning_rate": 4.1341077085533265e-05,
|
197 |
+
"loss": 0.4884,
|
198 |
+
"step": 270
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.8,
|
202 |
+
"grad_norm": 10.842576026916504,
|
203 |
+
"learning_rate": 4.081309398099261e-05,
|
204 |
+
"loss": 0.5345,
|
205 |
+
"step": 280
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.82,
|
209 |
+
"grad_norm": 8.137351036071777,
|
210 |
+
"learning_rate": 4.028511087645195e-05,
|
211 |
+
"loss": 0.5157,
|
212 |
+
"step": 290
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.85,
|
216 |
+
"grad_norm": 14.897061347961426,
|
217 |
+
"learning_rate": 3.97571277719113e-05,
|
218 |
+
"loss": 0.5212,
|
219 |
+
"step": 300
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.88,
|
223 |
+
"grad_norm": 11.816178321838379,
|
224 |
+
"learning_rate": 3.9229144667370646e-05,
|
225 |
+
"loss": 0.5337,
|
226 |
+
"step": 310
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.91,
|
230 |
+
"grad_norm": 10.712966918945312,
|
231 |
+
"learning_rate": 3.870116156282999e-05,
|
232 |
+
"loss": 0.5154,
|
233 |
+
"step": 320
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.94,
|
237 |
+
"grad_norm": 7.876273155212402,
|
238 |
+
"learning_rate": 3.817317845828934e-05,
|
239 |
+
"loss": 0.4833,
|
240 |
+
"step": 330
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.97,
|
244 |
+
"grad_norm": 14.542892456054688,
|
245 |
+
"learning_rate": 3.764519535374868e-05,
|
246 |
+
"loss": 0.5037,
|
247 |
+
"step": 340
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 1.0,
|
251 |
+
"grad_norm": 8.809218406677246,
|
252 |
+
"learning_rate": 3.711721224920803e-05,
|
253 |
+
"loss": 0.5592,
|
254 |
+
"step": 350
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 1.0,
|
258 |
+
"eval_accuracy": 0.9538,
|
259 |
+
"eval_loss": 0.14359258115291595,
|
260 |
+
"eval_runtime": 31.1413,
|
261 |
+
"eval_samples_per_second": 160.558,
|
262 |
+
"eval_steps_per_second": 5.042,
|
263 |
+
"step": 351
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 1.02,
|
267 |
+
"grad_norm": 8.733403205871582,
|
268 |
+
"learning_rate": 3.658922914466738e-05,
|
269 |
+
"loss": 0.4327,
|
270 |
+
"step": 360
|
271 |
+
},
|
272 |
+
{
|
273 |
+
"epoch": 1.05,
|
274 |
+
"grad_norm": 9.024731636047363,
|
275 |
+
"learning_rate": 3.6061246040126714e-05,
|
276 |
+
"loss": 0.4674,
|
277 |
+
"step": 370
|
278 |
+
},
|
279 |
+
{
|
280 |
+
"epoch": 1.08,
|
281 |
+
"grad_norm": 8.668274879455566,
|
282 |
+
"learning_rate": 3.5533262935586064e-05,
|
283 |
+
"loss": 0.4807,
|
284 |
+
"step": 380
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 1.11,
|
288 |
+
"grad_norm": 11.616405487060547,
|
289 |
+
"learning_rate": 3.500527983104541e-05,
|
290 |
+
"loss": 0.51,
|
291 |
+
"step": 390
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 1.14,
|
295 |
+
"grad_norm": 8.094477653503418,
|
296 |
+
"learning_rate": 3.447729672650475e-05,
|
297 |
+
"loss": 0.4959,
|
298 |
+
"step": 400
|
299 |
+
},
|
300 |
+
{
|
301 |
+
"epoch": 1.17,
|
302 |
+
"grad_norm": 11.38330364227295,
|
303 |
+
"learning_rate": 3.3949313621964095e-05,
|
304 |
+
"loss": 0.4142,
|
305 |
+
"step": 410
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 1.19,
|
309 |
+
"grad_norm": 13.148619651794434,
|
310 |
+
"learning_rate": 3.3421330517423445e-05,
|
311 |
+
"loss": 0.4217,
|
312 |
+
"step": 420
|
313 |
+
},
|
314 |
+
{
|
315 |
+
"epoch": 1.22,
|
316 |
+
"grad_norm": 20.912269592285156,
|
317 |
+
"learning_rate": 3.289334741288279e-05,
|
318 |
+
"loss": 0.4437,
|
319 |
+
"step": 430
|
320 |
+
},
|
321 |
+
{
|
322 |
+
"epoch": 1.25,
|
323 |
+
"grad_norm": 12.211991310119629,
|
324 |
+
"learning_rate": 3.236536430834213e-05,
|
325 |
+
"loss": 0.4687,
|
326 |
+
"step": 440
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 1.28,
|
330 |
+
"grad_norm": 11.126351356506348,
|
331 |
+
"learning_rate": 3.183738120380148e-05,
|
332 |
+
"loss": 0.4691,
|
333 |
+
"step": 450
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 1.31,
|
337 |
+
"grad_norm": 9.944380760192871,
|
338 |
+
"learning_rate": 3.130939809926082e-05,
|
339 |
+
"loss": 0.4593,
|
340 |
+
"step": 460
|
341 |
+
},
|
342 |
+
{
|
343 |
+
"epoch": 1.34,
|
344 |
+
"grad_norm": 10.881024360656738,
|
345 |
+
"learning_rate": 3.078141499472017e-05,
|
346 |
+
"loss": 0.4594,
|
347 |
+
"step": 470
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"epoch": 1.36,
|
351 |
+
"grad_norm": 7.276984214782715,
|
352 |
+
"learning_rate": 3.0253431890179517e-05,
|
353 |
+
"loss": 0.4566,
|
354 |
+
"step": 480
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 1.39,
|
358 |
+
"grad_norm": 11.3895263671875,
|
359 |
+
"learning_rate": 2.972544878563886e-05,
|
360 |
+
"loss": 0.4061,
|
361 |
+
"step": 490
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 1.42,
|
365 |
+
"grad_norm": 8.26075267791748,
|
366 |
+
"learning_rate": 2.9197465681098207e-05,
|
367 |
+
"loss": 0.4233,
|
368 |
+
"step": 500
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 1.45,
|
372 |
+
"grad_norm": 9.681741714477539,
|
373 |
+
"learning_rate": 2.8669482576557548e-05,
|
374 |
+
"loss": 0.4564,
|
375 |
+
"step": 510
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 1.48,
|
379 |
+
"grad_norm": 12.245609283447266,
|
380 |
+
"learning_rate": 2.8141499472016898e-05,
|
381 |
+
"loss": 0.4561,
|
382 |
+
"step": 520
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 1.51,
|
386 |
+
"grad_norm": 10.530965805053711,
|
387 |
+
"learning_rate": 2.7613516367476245e-05,
|
388 |
+
"loss": 0.429,
|
389 |
+
"step": 530
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 1.54,
|
393 |
+
"grad_norm": 6.2105889320373535,
|
394 |
+
"learning_rate": 2.7085533262935585e-05,
|
395 |
+
"loss": 0.3995,
|
396 |
+
"step": 540
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 1.56,
|
400 |
+
"grad_norm": 9.41408920288086,
|
401 |
+
"learning_rate": 2.6557550158394935e-05,
|
402 |
+
"loss": 0.4159,
|
403 |
+
"step": 550
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"epoch": 1.59,
|
407 |
+
"grad_norm": 10.506197929382324,
|
408 |
+
"learning_rate": 2.6029567053854276e-05,
|
409 |
+
"loss": 0.4396,
|
410 |
+
"step": 560
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 1.62,
|
414 |
+
"grad_norm": 9.805855751037598,
|
415 |
+
"learning_rate": 2.5501583949313622e-05,
|
416 |
+
"loss": 0.4258,
|
417 |
+
"step": 570
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 1.65,
|
421 |
+
"grad_norm": 6.874490261077881,
|
422 |
+
"learning_rate": 2.497360084477297e-05,
|
423 |
+
"loss": 0.4014,
|
424 |
+
"step": 580
|
425 |
+
},
|
426 |
+
{
|
427 |
+
"epoch": 1.68,
|
428 |
+
"grad_norm": 9.369732856750488,
|
429 |
+
"learning_rate": 2.4445617740232313e-05,
|
430 |
+
"loss": 0.4045,
|
431 |
+
"step": 590
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 1.71,
|
435 |
+
"grad_norm": 10.258170127868652,
|
436 |
+
"learning_rate": 2.391763463569166e-05,
|
437 |
+
"loss": 0.4133,
|
438 |
+
"step": 600
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 1.73,
|
442 |
+
"grad_norm": 9.34408950805664,
|
443 |
+
"learning_rate": 2.3389651531151003e-05,
|
444 |
+
"loss": 0.4196,
|
445 |
+
"step": 610
|
446 |
+
},
|
447 |
+
{
|
448 |
+
"epoch": 1.76,
|
449 |
+
"grad_norm": 9.928686141967773,
|
450 |
+
"learning_rate": 2.286166842661035e-05,
|
451 |
+
"loss": 0.4014,
|
452 |
+
"step": 620
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 1.79,
|
456 |
+
"grad_norm": 10.1293306350708,
|
457 |
+
"learning_rate": 2.2333685322069694e-05,
|
458 |
+
"loss": 0.427,
|
459 |
+
"step": 630
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 1.82,
|
463 |
+
"grad_norm": 10.649211883544922,
|
464 |
+
"learning_rate": 2.180570221752904e-05,
|
465 |
+
"loss": 0.3947,
|
466 |
+
"step": 640
|
467 |
+
},
|
468 |
+
{
|
469 |
+
"epoch": 1.85,
|
470 |
+
"grad_norm": 12.145565032958984,
|
471 |
+
"learning_rate": 2.1277719112988384e-05,
|
472 |
+
"loss": 0.4131,
|
473 |
+
"step": 650
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 1.88,
|
477 |
+
"grad_norm": 9.348143577575684,
|
478 |
+
"learning_rate": 2.074973600844773e-05,
|
479 |
+
"loss": 0.459,
|
480 |
+
"step": 660
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 1.9,
|
484 |
+
"grad_norm": 8.802924156188965,
|
485 |
+
"learning_rate": 2.0221752903907075e-05,
|
486 |
+
"loss": 0.3921,
|
487 |
+
"step": 670
|
488 |
+
},
|
489 |
+
{
|
490 |
+
"epoch": 1.93,
|
491 |
+
"grad_norm": 18.41295051574707,
|
492 |
+
"learning_rate": 1.9693769799366422e-05,
|
493 |
+
"loss": 0.3756,
|
494 |
+
"step": 680
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 1.96,
|
498 |
+
"grad_norm": 8.476001739501953,
|
499 |
+
"learning_rate": 1.9165786694825765e-05,
|
500 |
+
"loss": 0.3941,
|
501 |
+
"step": 690
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 1.99,
|
505 |
+
"grad_norm": 9.943327903747559,
|
506 |
+
"learning_rate": 1.863780359028511e-05,
|
507 |
+
"loss": 0.3338,
|
508 |
+
"step": 700
|
509 |
+
},
|
510 |
+
{
|
511 |
+
"epoch": 2.0,
|
512 |
+
"eval_accuracy": 0.9632,
|
513 |
+
"eval_loss": 0.11315808445215225,
|
514 |
+
"eval_runtime": 31.2355,
|
515 |
+
"eval_samples_per_second": 160.074,
|
516 |
+
"eval_steps_per_second": 5.026,
|
517 |
+
"step": 703
|
518 |
+
},
|
519 |
+
{
|
520 |
+
"epoch": 2.02,
|
521 |
+
"grad_norm": 10.112526893615723,
|
522 |
+
"learning_rate": 1.810982048574446e-05,
|
523 |
+
"loss": 0.3586,
|
524 |
+
"step": 710
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 2.05,
|
528 |
+
"grad_norm": 9.651534080505371,
|
529 |
+
"learning_rate": 1.7581837381203803e-05,
|
530 |
+
"loss": 0.3957,
|
531 |
+
"step": 720
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 2.08,
|
535 |
+
"grad_norm": 7.620846748352051,
|
536 |
+
"learning_rate": 1.7053854276663146e-05,
|
537 |
+
"loss": 0.402,
|
538 |
+
"step": 730
|
539 |
+
},
|
540 |
+
{
|
541 |
+
"epoch": 2.1,
|
542 |
+
"grad_norm": 10.414019584655762,
|
543 |
+
"learning_rate": 1.6525871172122493e-05,
|
544 |
+
"loss": 0.3809,
|
545 |
+
"step": 740
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 2.13,
|
549 |
+
"grad_norm": 9.351815223693848,
|
550 |
+
"learning_rate": 1.5997888067581837e-05,
|
551 |
+
"loss": 0.3745,
|
552 |
+
"step": 750
|
553 |
+
},
|
554 |
+
{
|
555 |
+
"epoch": 2.16,
|
556 |
+
"grad_norm": 10.798675537109375,
|
557 |
+
"learning_rate": 1.5469904963041184e-05,
|
558 |
+
"loss": 0.3507,
|
559 |
+
"step": 760
|
560 |
+
},
|
561 |
+
{
|
562 |
+
"epoch": 2.19,
|
563 |
+
"grad_norm": 10.772116661071777,
|
564 |
+
"learning_rate": 1.4941921858500529e-05,
|
565 |
+
"loss": 0.3589,
|
566 |
+
"step": 770
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 2.22,
|
570 |
+
"grad_norm": 9.006869316101074,
|
571 |
+
"learning_rate": 1.4413938753959874e-05,
|
572 |
+
"loss": 0.359,
|
573 |
+
"step": 780
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 2.25,
|
577 |
+
"grad_norm": 7.237900257110596,
|
578 |
+
"learning_rate": 1.388595564941922e-05,
|
579 |
+
"loss": 0.3636,
|
580 |
+
"step": 790
|
581 |
+
},
|
582 |
+
{
|
583 |
+
"epoch": 2.27,
|
584 |
+
"grad_norm": 8.02499008178711,
|
585 |
+
"learning_rate": 1.3357972544878563e-05,
|
586 |
+
"loss": 0.3817,
|
587 |
+
"step": 800
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 2.3,
|
591 |
+
"grad_norm": 7.373661041259766,
|
592 |
+
"learning_rate": 1.2829989440337912e-05,
|
593 |
+
"loss": 0.3812,
|
594 |
+
"step": 810
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 2.33,
|
598 |
+
"grad_norm": 9.66775131225586,
|
599 |
+
"learning_rate": 1.2302006335797255e-05,
|
600 |
+
"loss": 0.3681,
|
601 |
+
"step": 820
|
602 |
+
},
|
603 |
+
{
|
604 |
+
"epoch": 2.36,
|
605 |
+
"grad_norm": 9.115776062011719,
|
606 |
+
"learning_rate": 1.17740232312566e-05,
|
607 |
+
"loss": 0.4156,
|
608 |
+
"step": 830
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 2.39,
|
612 |
+
"grad_norm": 8.92050838470459,
|
613 |
+
"learning_rate": 1.1246040126715946e-05,
|
614 |
+
"loss": 0.3629,
|
615 |
+
"step": 840
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 2.42,
|
619 |
+
"grad_norm": 7.8812031745910645,
|
620 |
+
"learning_rate": 1.0718057022175291e-05,
|
621 |
+
"loss": 0.356,
|
622 |
+
"step": 850
|
623 |
+
},
|
624 |
+
{
|
625 |
+
"epoch": 2.44,
|
626 |
+
"grad_norm": 5.577208518981934,
|
627 |
+
"learning_rate": 1.0190073917634636e-05,
|
628 |
+
"loss": 0.3653,
|
629 |
+
"step": 860
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"epoch": 2.47,
|
633 |
+
"grad_norm": 9.963196754455566,
|
634 |
+
"learning_rate": 9.662090813093982e-06,
|
635 |
+
"loss": 0.3648,
|
636 |
+
"step": 870
|
637 |
+
},
|
638 |
+
{
|
639 |
+
"epoch": 2.5,
|
640 |
+
"grad_norm": 10.441061973571777,
|
641 |
+
"learning_rate": 9.134107708553327e-06,
|
642 |
+
"loss": 0.3671,
|
643 |
+
"step": 880
|
644 |
+
},
|
645 |
+
{
|
646 |
+
"epoch": 2.53,
|
647 |
+
"grad_norm": 11.808416366577148,
|
648 |
+
"learning_rate": 8.606124604012672e-06,
|
649 |
+
"loss": 0.3012,
|
650 |
+
"step": 890
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 2.56,
|
654 |
+
"grad_norm": 7.2837138175964355,
|
655 |
+
"learning_rate": 8.078141499472017e-06,
|
656 |
+
"loss": 0.4002,
|
657 |
+
"step": 900
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 2.59,
|
661 |
+
"grad_norm": 7.841160297393799,
|
662 |
+
"learning_rate": 7.5501583949313625e-06,
|
663 |
+
"loss": 0.424,
|
664 |
+
"step": 910
|
665 |
+
},
|
666 |
+
{
|
667 |
+
"epoch": 2.62,
|
668 |
+
"grad_norm": 11.717653274536133,
|
669 |
+
"learning_rate": 7.022175290390708e-06,
|
670 |
+
"loss": 0.3432,
|
671 |
+
"step": 920
|
672 |
+
},
|
673 |
+
{
|
674 |
+
"epoch": 2.64,
|
675 |
+
"grad_norm": 7.797212600708008,
|
676 |
+
"learning_rate": 6.494192185850054e-06,
|
677 |
+
"loss": 0.3618,
|
678 |
+
"step": 930
|
679 |
+
},
|
680 |
+
{
|
681 |
+
"epoch": 2.67,
|
682 |
+
"grad_norm": 9.33782958984375,
|
683 |
+
"learning_rate": 5.966209081309398e-06,
|
684 |
+
"loss": 0.3559,
|
685 |
+
"step": 940
|
686 |
+
},
|
687 |
+
{
|
688 |
+
"epoch": 2.7,
|
689 |
+
"grad_norm": 8.307150840759277,
|
690 |
+
"learning_rate": 5.438225976768744e-06,
|
691 |
+
"loss": 0.3601,
|
692 |
+
"step": 950
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 2.73,
|
696 |
+
"grad_norm": 8.53368854522705,
|
697 |
+
"learning_rate": 4.910242872228089e-06,
|
698 |
+
"loss": 0.3319,
|
699 |
+
"step": 960
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 2.76,
|
703 |
+
"grad_norm": 8.487812042236328,
|
704 |
+
"learning_rate": 4.382259767687434e-06,
|
705 |
+
"loss": 0.3331,
|
706 |
+
"step": 970
|
707 |
+
},
|
708 |
+
{
|
709 |
+
"epoch": 2.79,
|
710 |
+
"grad_norm": 10.636713027954102,
|
711 |
+
"learning_rate": 3.854276663146779e-06,
|
712 |
+
"loss": 0.359,
|
713 |
+
"step": 980
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 2.81,
|
717 |
+
"grad_norm": 13.220087051391602,
|
718 |
+
"learning_rate": 3.326293558606125e-06,
|
719 |
+
"loss": 0.3598,
|
720 |
+
"step": 990
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 2.84,
|
724 |
+
"grad_norm": 7.285949230194092,
|
725 |
+
"learning_rate": 2.79831045406547e-06,
|
726 |
+
"loss": 0.3503,
|
727 |
+
"step": 1000
|
728 |
+
},
|
729 |
+
{
|
730 |
+
"epoch": 2.87,
|
731 |
+
"grad_norm": 8.310001373291016,
|
732 |
+
"learning_rate": 2.2703273495248154e-06,
|
733 |
+
"loss": 0.3566,
|
734 |
+
"step": 1010
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 2.9,
|
738 |
+
"grad_norm": 9.105748176574707,
|
739 |
+
"learning_rate": 1.7423442449841606e-06,
|
740 |
+
"loss": 0.3345,
|
741 |
+
"step": 1020
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 2.93,
|
745 |
+
"grad_norm": 7.4982008934021,
|
746 |
+
"learning_rate": 1.2143611404435059e-06,
|
747 |
+
"loss": 0.3398,
|
748 |
+
"step": 1030
|
749 |
+
},
|
750 |
+
{
|
751 |
+
"epoch": 2.96,
|
752 |
+
"grad_norm": 11.533191680908203,
|
753 |
+
"learning_rate": 6.863780359028511e-07,
|
754 |
+
"loss": 0.3275,
|
755 |
+
"step": 1040
|
756 |
+
},
|
757 |
+
{
|
758 |
+
"epoch": 2.99,
|
759 |
+
"grad_norm": 7.991899013519287,
|
760 |
+
"learning_rate": 1.5839493136219642e-07,
|
761 |
+
"loss": 0.3196,
|
762 |
+
"step": 1050
|
763 |
+
},
|
764 |
+
{
|
765 |
+
"epoch": 2.99,
|
766 |
+
"eval_accuracy": 0.969,
|
767 |
+
"eval_loss": 0.09590400755405426,
|
768 |
+
"eval_runtime": 31.5821,
|
769 |
+
"eval_samples_per_second": 158.318,
|
770 |
+
"eval_steps_per_second": 4.971,
|
771 |
+
"step": 1053
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 2.99,
|
775 |
+
"step": 1053,
|
776 |
+
"total_flos": 3.3497451642252165e+18,
|
777 |
+
"train_loss": 0.5486761254009924,
|
778 |
+
"train_runtime": 2094.2938,
|
779 |
+
"train_samples_per_second": 64.461,
|
780 |
+
"train_steps_per_second": 0.503
|
781 |
+
}
|
782 |
+
],
|
783 |
+
"logging_steps": 10,
|
784 |
+
"max_steps": 1053,
|
785 |
+
"num_input_tokens_seen": 0,
|
786 |
+
"num_train_epochs": 3,
|
787 |
+
"save_steps": 500,
|
788 |
+
"total_flos": 3.3497451642252165e+18,
|
789 |
+
"train_batch_size": 32,
|
790 |
+
"trial_name": null,
|
791 |
+
"trial_params": null
|
792 |
+
}
|