paul
commited on
Commit
•
f57a56f
1
Parent(s):
99363aa
End of training
Browse files- all_results.json +8 -0
- pytorch_model.bin +1 -1
- runs/Oct22_03-48-56_teesta/events.out.tfevents.1666390747.teesta.11575.4 +2 -2
- train_results.json +8 -0
- trainer_state.json +505 -0
all_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 19.99,
|
3 |
+
"total_flos": 8.014902017179374e+18,
|
4 |
+
"train_loss": 0.19803269907832147,
|
5 |
+
"train_runtime": 1524.6859,
|
6 |
+
"train_samples_per_second": 67.87,
|
7 |
+
"train_steps_per_second": 0.262
|
8 |
+
}
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 343276209
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2d0b5b5756dcca64c8873987689d7febba3bc420c54769b2ace7333dfa615a8c
|
3 |
size 343276209
|
runs/Oct22_03-48-56_teesta/events.out.tfevents.1666390747.teesta.11575.4
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:b550bb2927e8bf1f356b4247a2616e12da4b747b339b25847fee34b172f57e41
|
3 |
+
size 19956
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 19.99,
|
3 |
+
"total_flos": 8.014902017179374e+18,
|
4 |
+
"train_loss": 0.19803269907832147,
|
5 |
+
"train_runtime": 1524.6859,
|
6 |
+
"train_samples_per_second": 67.87,
|
7 |
+
"train_steps_per_second": 0.262
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,505 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.848531684698609,
|
3 |
+
"best_model_checkpoint": "deit-base-patch16-224-FV-finetuned-memes/checkpoint-400",
|
4 |
+
"epoch": 19.987654320987655,
|
5 |
+
"global_step": 400,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.49,
|
12 |
+
"learning_rate": 3e-05,
|
13 |
+
"loss": 1.5611,
|
14 |
+
"step": 10
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.99,
|
18 |
+
"learning_rate": 6e-05,
|
19 |
+
"loss": 1.2733,
|
20 |
+
"step": 20
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.99,
|
24 |
+
"eval_accuracy": 0.5811437403400309,
|
25 |
+
"eval_f1": 0.5292880795121996,
|
26 |
+
"eval_loss": 1.0893372297286987,
|
27 |
+
"eval_precision": 0.5790375140189687,
|
28 |
+
"eval_recall": 0.5811437403400309,
|
29 |
+
"eval_runtime": 14.3471,
|
30 |
+
"eval_samples_per_second": 90.193,
|
31 |
+
"eval_steps_per_second": 1.464,
|
32 |
+
"step": 20
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 1.49,
|
36 |
+
"learning_rate": 9e-05,
|
37 |
+
"loss": 0.9586,
|
38 |
+
"step": 30
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 1.99,
|
42 |
+
"learning_rate": 0.00012,
|
43 |
+
"loss": 0.7284,
|
44 |
+
"step": 40
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 1.99,
|
48 |
+
"eval_accuracy": 0.7210200927357032,
|
49 |
+
"eval_f1": 0.7270557661305002,
|
50 |
+
"eval_loss": 0.7350967526435852,
|
51 |
+
"eval_precision": 0.7642254611707266,
|
52 |
+
"eval_recall": 0.7210200927357032,
|
53 |
+
"eval_runtime": 12.1717,
|
54 |
+
"eval_samples_per_second": 106.312,
|
55 |
+
"eval_steps_per_second": 1.725,
|
56 |
+
"step": 40
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 2.49,
|
60 |
+
"learning_rate": 0.00011666666666666667,
|
61 |
+
"loss": 0.4906,
|
62 |
+
"step": 50
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 2.99,
|
66 |
+
"learning_rate": 0.00011333333333333333,
|
67 |
+
"loss": 0.4267,
|
68 |
+
"step": 60
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 2.99,
|
72 |
+
"eval_accuracy": 0.7990726429675425,
|
73 |
+
"eval_f1": 0.8033064919218132,
|
74 |
+
"eval_loss": 0.5202070474624634,
|
75 |
+
"eval_precision": 0.8104410130277757,
|
76 |
+
"eval_recall": 0.7990726429675425,
|
77 |
+
"eval_runtime": 11.9509,
|
78 |
+
"eval_samples_per_second": 108.276,
|
79 |
+
"eval_steps_per_second": 1.757,
|
80 |
+
"step": 60
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 3.49,
|
84 |
+
"learning_rate": 0.00011,
|
85 |
+
"loss": 0.2421,
|
86 |
+
"step": 70
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 3.99,
|
90 |
+
"learning_rate": 0.00010666666666666667,
|
91 |
+
"loss": 0.2181,
|
92 |
+
"step": 80
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 3.99,
|
96 |
+
"eval_accuracy": 0.8346213292117465,
|
97 |
+
"eval_f1": 0.8333748900624175,
|
98 |
+
"eval_loss": 0.4604855477809906,
|
99 |
+
"eval_precision": 0.8350729859390106,
|
100 |
+
"eval_recall": 0.8346213292117465,
|
101 |
+
"eval_runtime": 12.1854,
|
102 |
+
"eval_samples_per_second": 106.193,
|
103 |
+
"eval_steps_per_second": 1.723,
|
104 |
+
"step": 80
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 4.49,
|
108 |
+
"learning_rate": 0.00010333333333333334,
|
109 |
+
"loss": 0.1358,
|
110 |
+
"step": 90
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 4.99,
|
114 |
+
"learning_rate": 0.0001,
|
115 |
+
"loss": 0.1504,
|
116 |
+
"step": 100
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 4.99,
|
120 |
+
"eval_accuracy": 0.8253477588871716,
|
121 |
+
"eval_f1": 0.8265696468740246,
|
122 |
+
"eval_loss": 0.5281366109848022,
|
123 |
+
"eval_precision": 0.828062631171004,
|
124 |
+
"eval_recall": 0.8253477588871716,
|
125 |
+
"eval_runtime": 12.1945,
|
126 |
+
"eval_samples_per_second": 106.113,
|
127 |
+
"eval_steps_per_second": 1.722,
|
128 |
+
"step": 100
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 5.49,
|
132 |
+
"learning_rate": 9.666666666666667e-05,
|
133 |
+
"loss": 0.0916,
|
134 |
+
"step": 110
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 5.99,
|
138 |
+
"learning_rate": 9.333333333333334e-05,
|
139 |
+
"loss": 0.1001,
|
140 |
+
"step": 120
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 5.99,
|
144 |
+
"eval_accuracy": 0.8369397217928902,
|
145 |
+
"eval_f1": 0.8347021830575708,
|
146 |
+
"eval_loss": 0.49452078342437744,
|
147 |
+
"eval_precision": 0.8335589987471665,
|
148 |
+
"eval_recall": 0.8369397217928902,
|
149 |
+
"eval_runtime": 13.7132,
|
150 |
+
"eval_samples_per_second": 94.362,
|
151 |
+
"eval_steps_per_second": 1.531,
|
152 |
+
"step": 120
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 6.49,
|
156 |
+
"learning_rate": 9e-05,
|
157 |
+
"loss": 0.0693,
|
158 |
+
"step": 130
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 6.99,
|
162 |
+
"learning_rate": 8.666666666666667e-05,
|
163 |
+
"loss": 0.0874,
|
164 |
+
"step": 140
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 6.99,
|
168 |
+
"eval_accuracy": 0.8338485316846986,
|
169 |
+
"eval_f1": 0.8347731418598773,
|
170 |
+
"eval_loss": 0.5901951789855957,
|
171 |
+
"eval_precision": 0.8369841836772862,
|
172 |
+
"eval_recall": 0.8338485316846986,
|
173 |
+
"eval_runtime": 12.1626,
|
174 |
+
"eval_samples_per_second": 106.392,
|
175 |
+
"eval_steps_per_second": 1.727,
|
176 |
+
"step": 140
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 7.49,
|
180 |
+
"learning_rate": 8.333333333333333e-05,
|
181 |
+
"loss": 0.0698,
|
182 |
+
"step": 150
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 7.99,
|
186 |
+
"learning_rate": 7.999999999999999e-05,
|
187 |
+
"loss": 0.0634,
|
188 |
+
"step": 160
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 7.99,
|
192 |
+
"eval_accuracy": 0.8253477588871716,
|
193 |
+
"eval_f1": 0.8234470253240962,
|
194 |
+
"eval_loss": 0.6087659597396851,
|
195 |
+
"eval_precision": 0.8221220381584785,
|
196 |
+
"eval_recall": 0.8253477588871716,
|
197 |
+
"eval_runtime": 12.1235,
|
198 |
+
"eval_samples_per_second": 106.735,
|
199 |
+
"eval_steps_per_second": 1.732,
|
200 |
+
"step": 160
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 8.49,
|
204 |
+
"learning_rate": 7.666666666666667e-05,
|
205 |
+
"loss": 0.065,
|
206 |
+
"step": 170
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 8.99,
|
210 |
+
"learning_rate": 7.333333333333334e-05,
|
211 |
+
"loss": 0.0699,
|
212 |
+
"step": 180
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 8.99,
|
216 |
+
"eval_accuracy": 0.8207109737248841,
|
217 |
+
"eval_f1": 0.8185767382509123,
|
218 |
+
"eval_loss": 0.6210456490516663,
|
219 |
+
"eval_precision": 0.8201740897388502,
|
220 |
+
"eval_recall": 0.8207109737248841,
|
221 |
+
"eval_runtime": 12.2668,
|
222 |
+
"eval_samples_per_second": 105.488,
|
223 |
+
"eval_steps_per_second": 1.712,
|
224 |
+
"step": 180
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 9.49,
|
228 |
+
"learning_rate": 7.000000000000001e-05,
|
229 |
+
"loss": 0.0548,
|
230 |
+
"step": 190
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 9.99,
|
234 |
+
"learning_rate": 6.666666666666667e-05,
|
235 |
+
"loss": 0.0661,
|
236 |
+
"step": 200
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 9.99,
|
240 |
+
"eval_accuracy": 0.8384853168469861,
|
241 |
+
"eval_f1": 0.8392602772109944,
|
242 |
+
"eval_loss": 0.567503809928894,
|
243 |
+
"eval_precision": 0.8416984089400088,
|
244 |
+
"eval_recall": 0.8384853168469861,
|
245 |
+
"eval_runtime": 13.1333,
|
246 |
+
"eval_samples_per_second": 98.528,
|
247 |
+
"eval_steps_per_second": 1.599,
|
248 |
+
"step": 200
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 10.49,
|
252 |
+
"learning_rate": 6.333333333333333e-05,
|
253 |
+
"loss": 0.0584,
|
254 |
+
"step": 210
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 10.99,
|
258 |
+
"learning_rate": 6e-05,
|
259 |
+
"loss": 0.0592,
|
260 |
+
"step": 220
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 10.99,
|
264 |
+
"eval_accuracy": 0.8253477588871716,
|
265 |
+
"eval_f1": 0.8275102000168703,
|
266 |
+
"eval_loss": 0.6549890041351318,
|
267 |
+
"eval_precision": 0.8324336806598226,
|
268 |
+
"eval_recall": 0.8253477588871716,
|
269 |
+
"eval_runtime": 12.4308,
|
270 |
+
"eval_samples_per_second": 104.096,
|
271 |
+
"eval_steps_per_second": 1.689,
|
272 |
+
"step": 220
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 11.49,
|
276 |
+
"learning_rate": 5.6666666666666664e-05,
|
277 |
+
"loss": 0.0547,
|
278 |
+
"step": 230
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 11.99,
|
282 |
+
"learning_rate": 5.333333333333333e-05,
|
283 |
+
"loss": 0.0559,
|
284 |
+
"step": 240
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 11.99,
|
288 |
+
"eval_accuracy": 0.8415765069551777,
|
289 |
+
"eval_f1": 0.8386771501165272,
|
290 |
+
"eval_loss": 0.6400041580200195,
|
291 |
+
"eval_precision": 0.8369803259815121,
|
292 |
+
"eval_recall": 0.8415765069551777,
|
293 |
+
"eval_runtime": 12.0827,
|
294 |
+
"eval_samples_per_second": 107.095,
|
295 |
+
"eval_steps_per_second": 1.738,
|
296 |
+
"step": 240
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 12.49,
|
300 |
+
"learning_rate": 5e-05,
|
301 |
+
"loss": 0.0544,
|
302 |
+
"step": 250
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 12.99,
|
306 |
+
"learning_rate": 4.666666666666667e-05,
|
307 |
+
"loss": 0.0501,
|
308 |
+
"step": 260
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 12.99,
|
312 |
+
"eval_accuracy": 0.839258114374034,
|
313 |
+
"eval_f1": 0.8349827197339503,
|
314 |
+
"eval_loss": 0.6725842952728271,
|
315 |
+
"eval_precision": 0.8352807610136271,
|
316 |
+
"eval_recall": 0.839258114374034,
|
317 |
+
"eval_runtime": 12.235,
|
318 |
+
"eval_samples_per_second": 105.762,
|
319 |
+
"eval_steps_per_second": 1.716,
|
320 |
+
"step": 260
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 13.49,
|
324 |
+
"learning_rate": 4.3333333333333334e-05,
|
325 |
+
"loss": 0.0504,
|
326 |
+
"step": 270
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 13.99,
|
330 |
+
"learning_rate": 3.9999999999999996e-05,
|
331 |
+
"loss": 0.0529,
|
332 |
+
"step": 280
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 13.99,
|
336 |
+
"eval_accuracy": 0.8408037094281299,
|
337 |
+
"eval_f1": 0.8401045386097177,
|
338 |
+
"eval_loss": 0.6284657120704651,
|
339 |
+
"eval_precision": 0.8399002499413157,
|
340 |
+
"eval_recall": 0.8408037094281299,
|
341 |
+
"eval_runtime": 12.1571,
|
342 |
+
"eval_samples_per_second": 106.44,
|
343 |
+
"eval_steps_per_second": 1.727,
|
344 |
+
"step": 280
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 14.49,
|
348 |
+
"learning_rate": 3.666666666666667e-05,
|
349 |
+
"loss": 0.0483,
|
350 |
+
"step": 290
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 14.99,
|
354 |
+
"learning_rate": 3.3333333333333335e-05,
|
355 |
+
"loss": 0.0478,
|
356 |
+
"step": 300
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 14.99,
|
360 |
+
"eval_accuracy": 0.8400309119010819,
|
361 |
+
"eval_f1": 0.8384325271224449,
|
362 |
+
"eval_loss": 0.6423028707504272,
|
363 |
+
"eval_precision": 0.8380083960258947,
|
364 |
+
"eval_recall": 0.8400309119010819,
|
365 |
+
"eval_runtime": 13.5896,
|
366 |
+
"eval_samples_per_second": 95.22,
|
367 |
+
"eval_steps_per_second": 1.545,
|
368 |
+
"step": 300
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 15.49,
|
372 |
+
"learning_rate": 3e-05,
|
373 |
+
"loss": 0.0511,
|
374 |
+
"step": 310
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 15.99,
|
378 |
+
"learning_rate": 2.6666666666666667e-05,
|
379 |
+
"loss": 0.0458,
|
380 |
+
"step": 320
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 15.99,
|
384 |
+
"eval_accuracy": 0.8369397217928902,
|
385 |
+
"eval_f1": 0.8347511755501414,
|
386 |
+
"eval_loss": 0.6632058620452881,
|
387 |
+
"eval_precision": 0.8336581851460658,
|
388 |
+
"eval_recall": 0.8369397217928902,
|
389 |
+
"eval_runtime": 12.2903,
|
390 |
+
"eval_samples_per_second": 105.286,
|
391 |
+
"eval_steps_per_second": 1.709,
|
392 |
+
"step": 320
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 16.49,
|
396 |
+
"learning_rate": 2.3333333333333336e-05,
|
397 |
+
"loss": 0.044,
|
398 |
+
"step": 330
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 16.99,
|
402 |
+
"learning_rate": 1.9999999999999998e-05,
|
403 |
+
"loss": 0.048,
|
404 |
+
"step": 340
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 16.99,
|
408 |
+
"eval_accuracy": 0.8423493044822257,
|
409 |
+
"eval_f1": 0.8403953031110398,
|
410 |
+
"eval_loss": 0.6718657612800598,
|
411 |
+
"eval_precision": 0.8400986650043714,
|
412 |
+
"eval_recall": 0.8423493044822257,
|
413 |
+
"eval_runtime": 12.1549,
|
414 |
+
"eval_samples_per_second": 106.459,
|
415 |
+
"eval_steps_per_second": 1.728,
|
416 |
+
"step": 340
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 17.49,
|
420 |
+
"learning_rate": 1.6666666666666667e-05,
|
421 |
+
"loss": 0.0531,
|
422 |
+
"step": 350
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 17.99,
|
426 |
+
"learning_rate": 1.3333333333333333e-05,
|
427 |
+
"loss": 0.0417,
|
428 |
+
"step": 360
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 17.99,
|
432 |
+
"eval_accuracy": 0.8423493044822257,
|
433 |
+
"eval_f1": 0.8408137285370694,
|
434 |
+
"eval_loss": 0.6807297468185425,
|
435 |
+
"eval_precision": 0.8414734958978292,
|
436 |
+
"eval_recall": 0.8423493044822257,
|
437 |
+
"eval_runtime": 12.1578,
|
438 |
+
"eval_samples_per_second": 106.434,
|
439 |
+
"eval_steps_per_second": 1.727,
|
440 |
+
"step": 360
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 18.49,
|
444 |
+
"learning_rate": 9.999999999999999e-06,
|
445 |
+
"loss": 0.0463,
|
446 |
+
"step": 370
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 18.99,
|
450 |
+
"learning_rate": 6.666666666666667e-06,
|
451 |
+
"loss": 0.0461,
|
452 |
+
"step": 380
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 18.99,
|
456 |
+
"eval_accuracy": 0.8454404945904173,
|
457 |
+
"eval_f1": 0.8437536089910989,
|
458 |
+
"eval_loss": 0.6732441782951355,
|
459 |
+
"eval_precision": 0.8439655958777214,
|
460 |
+
"eval_recall": 0.8454404945904173,
|
461 |
+
"eval_runtime": 12.2922,
|
462 |
+
"eval_samples_per_second": 105.27,
|
463 |
+
"eval_steps_per_second": 1.708,
|
464 |
+
"step": 380
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 19.49,
|
468 |
+
"learning_rate": 3.3333333333333333e-06,
|
469 |
+
"loss": 0.0467,
|
470 |
+
"step": 390
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 19.99,
|
474 |
+
"learning_rate": 0.0,
|
475 |
+
"loss": 0.044,
|
476 |
+
"step": 400
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 19.99,
|
480 |
+
"eval_accuracy": 0.848531684698609,
|
481 |
+
"eval_f1": 0.8463625265241504,
|
482 |
+
"eval_loss": 0.6769371628761292,
|
483 |
+
"eval_precision": 0.8458069264500935,
|
484 |
+
"eval_recall": 0.848531684698609,
|
485 |
+
"eval_runtime": 13.4679,
|
486 |
+
"eval_samples_per_second": 96.08,
|
487 |
+
"eval_steps_per_second": 1.559,
|
488 |
+
"step": 400
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 19.99,
|
492 |
+
"step": 400,
|
493 |
+
"total_flos": 8.014902017179374e+18,
|
494 |
+
"train_loss": 0.19803269907832147,
|
495 |
+
"train_runtime": 1524.6859,
|
496 |
+
"train_samples_per_second": 67.87,
|
497 |
+
"train_steps_per_second": 0.262
|
498 |
+
}
|
499 |
+
],
|
500 |
+
"max_steps": 400,
|
501 |
+
"num_train_epochs": 20,
|
502 |
+
"total_flos": 8.014902017179374e+18,
|
503 |
+
"trial_name": null,
|
504 |
+
"trial_params": null
|
505 |
+
}
|