End of training
Browse files
all_results.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"eval_accuracy": 0.9040894380700206,
|
4 |
+
"eval_loss": 0.3562973439693451,
|
5 |
+
"eval_runtime": 43.2189,
|
6 |
+
"eval_samples_per_second": 157.292,
|
7 |
+
"eval_steps_per_second": 2.476,
|
8 |
+
"train_loss": 0.8915880279732229,
|
9 |
+
"train_runtime": 4529.6112,
|
10 |
+
"train_samples_per_second": 112.8,
|
11 |
+
"train_steps_per_second": 1.762
|
12 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"eval_accuracy": 0.9040894380700206,
|
4 |
+
"eval_loss": 0.3562973439693451,
|
5 |
+
"eval_runtime": 43.2189,
|
6 |
+
"eval_samples_per_second": 157.292,
|
7 |
+
"eval_steps_per_second": 2.476
|
8 |
+
}
|
runs/Nov28_21-42-20_3367f5396cf0/events.out.tfevents.1669676543.3367f5396cf0.230.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:10d95b9c1b6f2e084f9dfb4a0f6485debaaa30ce115712a53d568f423f070d86
|
3 |
+
size 363
|
train_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"train_loss": 0.8915880279732229,
|
4 |
+
"train_runtime": 4529.6112,
|
5 |
+
"train_samples_per_second": 112.8,
|
6 |
+
"train_steps_per_second": 1.762
|
7 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,589 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9040894380700206,
|
3 |
+
"best_model_checkpoint": "trillsson3-ft-keyword-spotting/checkpoint-3192",
|
4 |
+
"epoch": 9.999373825923607,
|
5 |
+
"global_step": 7980,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.13,
|
12 |
+
"learning_rate": 3.533834586466165e-05,
|
13 |
+
"loss": 7.4799,
|
14 |
+
"step": 100
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.25,
|
18 |
+
"learning_rate": 7.293233082706766e-05,
|
19 |
+
"loss": 4.7288,
|
20 |
+
"step": 200
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.38,
|
24 |
+
"learning_rate": 0.00011052631578947366,
|
25 |
+
"loss": 3.0455,
|
26 |
+
"step": 300
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.5,
|
30 |
+
"learning_rate": 0.00014812030075187968,
|
31 |
+
"loss": 2.3495,
|
32 |
+
"step": 400
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.63,
|
36 |
+
"learning_rate": 0.00018571428571428572,
|
37 |
+
"loss": 1.836,
|
38 |
+
"step": 500
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.75,
|
42 |
+
"learning_rate": 0.00022330827067669172,
|
43 |
+
"loss": 1.4179,
|
44 |
+
"step": 600
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.88,
|
48 |
+
"learning_rate": 0.0002609022556390977,
|
49 |
+
"loss": 1.1824,
|
50 |
+
"step": 700
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 1.0,
|
54 |
+
"eval_accuracy": 0.7488967343336276,
|
55 |
+
"eval_loss": 0.6477929949760437,
|
56 |
+
"eval_runtime": 42.5234,
|
57 |
+
"eval_samples_per_second": 159.865,
|
58 |
+
"eval_steps_per_second": 2.516,
|
59 |
+
"step": 798
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 1.0,
|
63 |
+
"learning_rate": 0.0002984962406015037,
|
64 |
+
"loss": 1.0261,
|
65 |
+
"step": 800
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 1.13,
|
69 |
+
"learning_rate": 0.00029598997493734334,
|
70 |
+
"loss": 0.9596,
|
71 |
+
"step": 900
|
72 |
+
},
|
73 |
+
{
|
74 |
+
"epoch": 1.25,
|
75 |
+
"learning_rate": 0.000291812865497076,
|
76 |
+
"loss": 0.8732,
|
77 |
+
"step": 1000
|
78 |
+
},
|
79 |
+
{
|
80 |
+
"epoch": 1.38,
|
81 |
+
"learning_rate": 0.00028763575605680864,
|
82 |
+
"loss": 0.8509,
|
83 |
+
"step": 1100
|
84 |
+
},
|
85 |
+
{
|
86 |
+
"epoch": 1.5,
|
87 |
+
"learning_rate": 0.00028345864661654134,
|
88 |
+
"loss": 0.8162,
|
89 |
+
"step": 1200
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 1.63,
|
93 |
+
"learning_rate": 0.000279281537176274,
|
94 |
+
"loss": 0.7603,
|
95 |
+
"step": 1300
|
96 |
+
},
|
97 |
+
{
|
98 |
+
"epoch": 1.75,
|
99 |
+
"learning_rate": 0.00027510442773600664,
|
100 |
+
"loss": 0.7638,
|
101 |
+
"step": 1400
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 1.88,
|
105 |
+
"learning_rate": 0.00027092731829573934,
|
106 |
+
"loss": 0.7448,
|
107 |
+
"step": 1500
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 2.0,
|
111 |
+
"eval_accuracy": 0.8727566931450427,
|
112 |
+
"eval_loss": 0.4273872375488281,
|
113 |
+
"eval_runtime": 42.1254,
|
114 |
+
"eval_samples_per_second": 161.375,
|
115 |
+
"eval_steps_per_second": 2.54,
|
116 |
+
"step": 1596
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 2.01,
|
120 |
+
"learning_rate": 0.000266750208855472,
|
121 |
+
"loss": 0.7268,
|
122 |
+
"step": 1600
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 2.13,
|
126 |
+
"learning_rate": 0.00026257309941520463,
|
127 |
+
"loss": 0.7503,
|
128 |
+
"step": 1700
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 2.26,
|
132 |
+
"learning_rate": 0.00025839598997493734,
|
133 |
+
"loss": 0.719,
|
134 |
+
"step": 1800
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 2.38,
|
138 |
+
"learning_rate": 0.00025421888053467,
|
139 |
+
"loss": 0.7174,
|
140 |
+
"step": 1900
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 2.51,
|
144 |
+
"learning_rate": 0.00025004177109440263,
|
145 |
+
"loss": 0.6869,
|
146 |
+
"step": 2000
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 2.63,
|
150 |
+
"learning_rate": 0.00024586466165413533,
|
151 |
+
"loss": 0.7113,
|
152 |
+
"step": 2100
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 2.76,
|
156 |
+
"learning_rate": 0.00024168755221386798,
|
157 |
+
"loss": 0.7011,
|
158 |
+
"step": 2200
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 2.88,
|
162 |
+
"learning_rate": 0.00023751044277360066,
|
163 |
+
"loss": 0.7089,
|
164 |
+
"step": 2300
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 3.0,
|
168 |
+
"eval_accuracy": 0.8949691085613416,
|
169 |
+
"eval_loss": 0.3723289370536804,
|
170 |
+
"eval_runtime": 41.1393,
|
171 |
+
"eval_samples_per_second": 165.243,
|
172 |
+
"eval_steps_per_second": 2.601,
|
173 |
+
"step": 2394
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 3.01,
|
177 |
+
"learning_rate": 0.0002333333333333333,
|
178 |
+
"loss": 0.6834,
|
179 |
+
"step": 2400
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 3.13,
|
183 |
+
"learning_rate": 0.00022915622389306598,
|
184 |
+
"loss": 0.6804,
|
185 |
+
"step": 2500
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 3.26,
|
189 |
+
"learning_rate": 0.00022497911445279865,
|
190 |
+
"loss": 0.6771,
|
191 |
+
"step": 2600
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 3.38,
|
195 |
+
"learning_rate": 0.0002208020050125313,
|
196 |
+
"loss": 0.684,
|
197 |
+
"step": 2700
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 3.51,
|
201 |
+
"learning_rate": 0.00021662489557226398,
|
202 |
+
"loss": 0.6636,
|
203 |
+
"step": 2800
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 3.63,
|
207 |
+
"learning_rate": 0.00021244778613199665,
|
208 |
+
"loss": 0.7003,
|
209 |
+
"step": 2900
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 3.76,
|
213 |
+
"learning_rate": 0.0002082706766917293,
|
214 |
+
"loss": 0.6594,
|
215 |
+
"step": 3000
|
216 |
+
},
|
217 |
+
{
|
218 |
+
"epoch": 3.88,
|
219 |
+
"learning_rate": 0.00020409356725146197,
|
220 |
+
"loss": 0.6781,
|
221 |
+
"step": 3100
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 4.0,
|
225 |
+
"eval_accuracy": 0.9040894380700206,
|
226 |
+
"eval_loss": 0.3562973439693451,
|
227 |
+
"eval_runtime": 42.576,
|
228 |
+
"eval_samples_per_second": 159.667,
|
229 |
+
"eval_steps_per_second": 2.513,
|
230 |
+
"step": 3192
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 4.01,
|
234 |
+
"learning_rate": 0.00019991645781119465,
|
235 |
+
"loss": 0.6921,
|
236 |
+
"step": 3200
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 4.14,
|
240 |
+
"learning_rate": 0.0001957393483709273,
|
241 |
+
"loss": 0.6615,
|
242 |
+
"step": 3300
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 4.26,
|
246 |
+
"learning_rate": 0.00019156223893065997,
|
247 |
+
"loss": 0.6707,
|
248 |
+
"step": 3400
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 4.39,
|
252 |
+
"learning_rate": 0.00018738512949039265,
|
253 |
+
"loss": 0.6511,
|
254 |
+
"step": 3500
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 4.51,
|
258 |
+
"learning_rate": 0.0001832080200501253,
|
259 |
+
"loss": 0.6974,
|
260 |
+
"step": 3600
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 4.64,
|
264 |
+
"learning_rate": 0.00017903091060985797,
|
265 |
+
"loss": 0.6447,
|
266 |
+
"step": 3700
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 4.76,
|
270 |
+
"learning_rate": 0.00017485380116959065,
|
271 |
+
"loss": 0.643,
|
272 |
+
"step": 3800
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 4.89,
|
276 |
+
"learning_rate": 0.0001706766917293233,
|
277 |
+
"loss": 0.6386,
|
278 |
+
"step": 3900
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 5.0,
|
282 |
+
"eval_accuracy": 0.8986466607825832,
|
283 |
+
"eval_loss": 0.3440994322299957,
|
284 |
+
"eval_runtime": 42.3928,
|
285 |
+
"eval_samples_per_second": 160.358,
|
286 |
+
"eval_steps_per_second": 2.524,
|
287 |
+
"step": 3990
|
288 |
+
},
|
289 |
+
{
|
290 |
+
"epoch": 5.01,
|
291 |
+
"learning_rate": 0.00016649958228905597,
|
292 |
+
"loss": 0.6611,
|
293 |
+
"step": 4000
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 5.14,
|
297 |
+
"learning_rate": 0.0001623642439431913,
|
298 |
+
"loss": 0.6634,
|
299 |
+
"step": 4100
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 5.26,
|
303 |
+
"learning_rate": 0.00015818713450292397,
|
304 |
+
"loss": 0.6419,
|
305 |
+
"step": 4200
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 5.39,
|
309 |
+
"learning_rate": 0.00015401002506265662,
|
310 |
+
"loss": 0.6341,
|
311 |
+
"step": 4300
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 5.51,
|
315 |
+
"learning_rate": 0.0001498329156223893,
|
316 |
+
"loss": 0.6283,
|
317 |
+
"step": 4400
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 5.64,
|
321 |
+
"learning_rate": 0.00014565580618212197,
|
322 |
+
"loss": 0.6551,
|
323 |
+
"step": 4500
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 5.76,
|
327 |
+
"learning_rate": 0.00014147869674185462,
|
328 |
+
"loss": 0.6318,
|
329 |
+
"step": 4600
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 5.89,
|
333 |
+
"learning_rate": 0.0001373015873015873,
|
334 |
+
"loss": 0.6342,
|
335 |
+
"step": 4700
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 6.0,
|
339 |
+
"eval_accuracy": 0.8993821712268314,
|
340 |
+
"eval_loss": 0.3380272388458252,
|
341 |
+
"eval_runtime": 42.8693,
|
342 |
+
"eval_samples_per_second": 158.575,
|
343 |
+
"eval_steps_per_second": 2.496,
|
344 |
+
"step": 4788
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 6.02,
|
348 |
+
"learning_rate": 0.00013312447786131997,
|
349 |
+
"loss": 0.6371,
|
350 |
+
"step": 4800
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 6.14,
|
354 |
+
"learning_rate": 0.00012894736842105261,
|
355 |
+
"loss": 0.6484,
|
356 |
+
"step": 4900
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 6.27,
|
360 |
+
"learning_rate": 0.0001247702589807853,
|
361 |
+
"loss": 0.6331,
|
362 |
+
"step": 5000
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 6.39,
|
366 |
+
"learning_rate": 0.00012059314954051795,
|
367 |
+
"loss": 0.6201,
|
368 |
+
"step": 5100
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 6.52,
|
372 |
+
"learning_rate": 0.00011641604010025061,
|
373 |
+
"loss": 0.6619,
|
374 |
+
"step": 5200
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 6.64,
|
378 |
+
"learning_rate": 0.00011223893065998329,
|
379 |
+
"loss": 0.6337,
|
380 |
+
"step": 5300
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 6.77,
|
384 |
+
"learning_rate": 0.00010806182121971595,
|
385 |
+
"loss": 0.6356,
|
386 |
+
"step": 5400
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 6.89,
|
390 |
+
"learning_rate": 0.00010388471177944861,
|
391 |
+
"loss": 0.6275,
|
392 |
+
"step": 5500
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 7.0,
|
396 |
+
"eval_accuracy": 0.8982053545160341,
|
397 |
+
"eval_loss": 0.33755984902381897,
|
398 |
+
"eval_runtime": 42.4768,
|
399 |
+
"eval_samples_per_second": 160.04,
|
400 |
+
"eval_steps_per_second": 2.519,
|
401 |
+
"step": 5586
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 7.02,
|
405 |
+
"learning_rate": 9.970760233918129e-05,
|
406 |
+
"loss": 0.6359,
|
407 |
+
"step": 5600
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 7.14,
|
411 |
+
"learning_rate": 9.553049289891395e-05,
|
412 |
+
"loss": 0.6502,
|
413 |
+
"step": 5700
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 7.27,
|
417 |
+
"learning_rate": 9.135338345864661e-05,
|
418 |
+
"loss": 0.6138,
|
419 |
+
"step": 5800
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 7.39,
|
423 |
+
"learning_rate": 8.717627401837928e-05,
|
424 |
+
"loss": 0.6309,
|
425 |
+
"step": 5900
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 7.52,
|
429 |
+
"learning_rate": 8.299916457811194e-05,
|
430 |
+
"loss": 0.6386,
|
431 |
+
"step": 6000
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 7.64,
|
435 |
+
"learning_rate": 7.88220551378446e-05,
|
436 |
+
"loss": 0.6149,
|
437 |
+
"step": 6100
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 7.77,
|
441 |
+
"learning_rate": 7.464494569757727e-05,
|
442 |
+
"loss": 0.6218,
|
443 |
+
"step": 6200
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 7.89,
|
447 |
+
"learning_rate": 7.050960735171261e-05,
|
448 |
+
"loss": 0.6349,
|
449 |
+
"step": 6300
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 8.0,
|
453 |
+
"eval_accuracy": 0.9014416004707266,
|
454 |
+
"eval_loss": 0.3333294689655304,
|
455 |
+
"eval_runtime": 43.296,
|
456 |
+
"eval_samples_per_second": 157.012,
|
457 |
+
"eval_steps_per_second": 2.471,
|
458 |
+
"step": 6384
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 8.02,
|
462 |
+
"learning_rate": 6.633249791144527e-05,
|
463 |
+
"loss": 0.6115,
|
464 |
+
"step": 6400
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 8.15,
|
468 |
+
"learning_rate": 6.215538847117793e-05,
|
469 |
+
"loss": 0.6463,
|
470 |
+
"step": 6500
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 8.27,
|
474 |
+
"learning_rate": 5.79782790309106e-05,
|
475 |
+
"loss": 0.6183,
|
476 |
+
"step": 6600
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 8.4,
|
480 |
+
"learning_rate": 5.380116959064327e-05,
|
481 |
+
"loss": 0.6475,
|
482 |
+
"step": 6700
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 8.52,
|
486 |
+
"learning_rate": 4.962406015037593e-05,
|
487 |
+
"loss": 0.6437,
|
488 |
+
"step": 6800
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 8.65,
|
492 |
+
"learning_rate": 4.54469507101086e-05,
|
493 |
+
"loss": 0.6265,
|
494 |
+
"step": 6900
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 8.77,
|
498 |
+
"learning_rate": 4.1269841269841266e-05,
|
499 |
+
"loss": 0.6326,
|
500 |
+
"step": 7000
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 8.9,
|
504 |
+
"learning_rate": 3.709273182957393e-05,
|
505 |
+
"loss": 0.6261,
|
506 |
+
"step": 7100
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 9.0,
|
510 |
+
"eval_accuracy": 0.9024713150926743,
|
511 |
+
"eval_loss": 0.32949280738830566,
|
512 |
+
"eval_runtime": 42.5233,
|
513 |
+
"eval_samples_per_second": 159.865,
|
514 |
+
"eval_steps_per_second": 2.516,
|
515 |
+
"step": 7182
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 9.02,
|
519 |
+
"learning_rate": 3.2915622389306596e-05,
|
520 |
+
"loss": 0.6306,
|
521 |
+
"step": 7200
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 9.15,
|
525 |
+
"learning_rate": 2.873851294903926e-05,
|
526 |
+
"loss": 0.6362,
|
527 |
+
"step": 7300
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 9.27,
|
531 |
+
"learning_rate": 2.4561403508771925e-05,
|
532 |
+
"loss": 0.6318,
|
533 |
+
"step": 7400
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 9.4,
|
537 |
+
"learning_rate": 2.0384294068504594e-05,
|
538 |
+
"loss": 0.6506,
|
539 |
+
"step": 7500
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 9.52,
|
543 |
+
"learning_rate": 1.620718462823726e-05,
|
544 |
+
"loss": 0.6202,
|
545 |
+
"step": 7600
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 9.65,
|
549 |
+
"learning_rate": 1.2030075187969923e-05,
|
550 |
+
"loss": 0.6217,
|
551 |
+
"step": 7700
|
552 |
+
},
|
553 |
+
{
|
554 |
+
"epoch": 9.77,
|
555 |
+
"learning_rate": 7.852965747702588e-06,
|
556 |
+
"loss": 0.6307,
|
557 |
+
"step": 7800
|
558 |
+
},
|
559 |
+
{
|
560 |
+
"epoch": 9.9,
|
561 |
+
"learning_rate": 3.6758563074352545e-06,
|
562 |
+
"loss": 0.6188,
|
563 |
+
"step": 7900
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 10.0,
|
567 |
+
"eval_accuracy": 0.9024713150926743,
|
568 |
+
"eval_loss": 0.33220550417900085,
|
569 |
+
"eval_runtime": 42.0746,
|
570 |
+
"eval_samples_per_second": 161.57,
|
571 |
+
"eval_steps_per_second": 2.543,
|
572 |
+
"step": 7980
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 10.0,
|
576 |
+
"step": 7980,
|
577 |
+
"total_flos": 0.0,
|
578 |
+
"train_loss": 0.8915880279732229,
|
579 |
+
"train_runtime": 4529.6112,
|
580 |
+
"train_samples_per_second": 112.8,
|
581 |
+
"train_steps_per_second": 1.762
|
582 |
+
}
|
583 |
+
],
|
584 |
+
"max_steps": 7980,
|
585 |
+
"num_train_epochs": 10,
|
586 |
+
"total_flos": 0.0,
|
587 |
+
"trial_name": null,
|
588 |
+
"trial_params": null
|
589 |
+
}
|