Finished training
Browse files- all_results.json +13 -0
- eval_results.json +9 -0
- pytorch_model.bin +1 -1
- runs/Jun12_17-39-37_i16n5.ocelote.hpc.arizona.edu/events.out.tfevents.1655080792.i16n5.ocelote.hpc.arizona.edu.1350.0 +2 -2
- runs/Jun12_17-39-37_i16n5.ocelote.hpc.arizona.edu/events.out.tfevents.1655126979.i16n5.ocelote.hpc.arizona.edu.1350.2 +3 -0
- train_results.json +7 -0
- trainer_state.json +580 -0
all_results.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.36,
|
3 |
+
"eval_accuracy": 0.6470223174085522,
|
4 |
+
"eval_loss": 1.767507791519165,
|
5 |
+
"eval_runtime": 60.4981,
|
6 |
+
"eval_samples_per_second": 165.295,
|
7 |
+
"eval_steps_per_second": 10.331,
|
8 |
+
"perplexity": 5.8562401879466695,
|
9 |
+
"train_loss": 1.8697899763924735,
|
10 |
+
"train_runtime": 46126.5574,
|
11 |
+
"train_samples_per_second": 17343.588,
|
12 |
+
"train_steps_per_second": 2.168
|
13 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.36,
|
3 |
+
"eval_accuracy": 0.6470223174085522,
|
4 |
+
"eval_loss": 1.767507791519165,
|
5 |
+
"eval_runtime": 60.4981,
|
6 |
+
"eval_samples_per_second": 165.295,
|
7 |
+
"eval_steps_per_second": 10.331,
|
8 |
+
"perplexity": 5.8562401879466695
|
9 |
+
}
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 438128811
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a21631d7306045d30d9ef68bb5237ab7f16eaa6bad5a717ce2a60bb3d9f7c214
|
3 |
size 438128811
|
runs/Jun12_17-39-37_i16n5.ocelote.hpc.arizona.edu/events.out.tfevents.1655080792.i16n5.ocelote.hpc.arizona.edu.1350.0
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:d8da4134c3b61c89ee395cb1a68bc2c9c8e66c7e14baafe46b380cd8b36662d5
|
3 |
+
size 19416
|
runs/Jun12_17-39-37_i16n5.ocelote.hpc.arizona.edu/events.out.tfevents.1655126979.i16n5.ocelote.hpc.arizona.edu.1350.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5425b8b98a60c99999edec21a54261ce156386da88a691bc7582d93eeff00294
|
3 |
+
size 363
|
train_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.36,
|
3 |
+
"train_loss": 1.8697899763924735,
|
4 |
+
"train_runtime": 46126.5574,
|
5 |
+
"train_samples_per_second": 17343.588,
|
6 |
+
"train_steps_per_second": 2.168
|
7 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,580 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.6465878115264797,
|
3 |
+
"best_model_checkpoint": "/xdisk/msurdeanu/enoriega/kw_pubmed_experiments/kw_pubmed_vanilla_document_10000_0.0003/checkpoint-100",
|
4 |
+
"epoch": 1.3559903108724085,
|
5 |
+
"global_step": 350,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.02,
|
12 |
+
"learning_rate": 0.00029998499999999995,
|
13 |
+
"loss": 2.5567,
|
14 |
+
"step": 5
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.04,
|
18 |
+
"learning_rate": 0.00029997,
|
19 |
+
"loss": 1.9715,
|
20 |
+
"step": 10
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.06,
|
24 |
+
"learning_rate": 0.00029995499999999997,
|
25 |
+
"loss": 1.8692,
|
26 |
+
"step": 15
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.08,
|
30 |
+
"learning_rate": 0.00029994,
|
31 |
+
"loss": 1.8491,
|
32 |
+
"step": 20
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.1,
|
36 |
+
"learning_rate": 0.000299925,
|
37 |
+
"loss": 1.8861,
|
38 |
+
"step": 25
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.1,
|
42 |
+
"eval_accuracy": 0.6368282710280374,
|
43 |
+
"eval_loss": 1.842035174369812,
|
44 |
+
"eval_runtime": 60.5692,
|
45 |
+
"eval_samples_per_second": 165.101,
|
46 |
+
"eval_steps_per_second": 10.319,
|
47 |
+
"step": 25
|
48 |
+
},
|
49 |
+
{
|
50 |
+
"epoch": 0.12,
|
51 |
+
"learning_rate": 0.00029991299999999996,
|
52 |
+
"loss": 1.8289,
|
53 |
+
"step": 30
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 0.14,
|
57 |
+
"learning_rate": 0.000299898,
|
58 |
+
"loss": 1.813,
|
59 |
+
"step": 35
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.15,
|
63 |
+
"learning_rate": 0.000299883,
|
64 |
+
"loss": 1.8096,
|
65 |
+
"step": 40
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.17,
|
69 |
+
"learning_rate": 0.00029986799999999996,
|
70 |
+
"loss": 1.8019,
|
71 |
+
"step": 45
|
72 |
+
},
|
73 |
+
{
|
74 |
+
"epoch": 0.19,
|
75 |
+
"learning_rate": 0.000299853,
|
76 |
+
"loss": 1.7913,
|
77 |
+
"step": 50
|
78 |
+
},
|
79 |
+
{
|
80 |
+
"epoch": 0.19,
|
81 |
+
"eval_accuracy": 0.6451718892607241,
|
82 |
+
"eval_loss": 1.7883105278015137,
|
83 |
+
"eval_runtime": 60.4628,
|
84 |
+
"eval_samples_per_second": 165.391,
|
85 |
+
"eval_steps_per_second": 10.337,
|
86 |
+
"step": 50
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.21,
|
90 |
+
"learning_rate": 0.00029983799999999997,
|
91 |
+
"loss": 1.7907,
|
92 |
+
"step": 55
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.23,
|
96 |
+
"learning_rate": 0.000299823,
|
97 |
+
"loss": 1.7853,
|
98 |
+
"step": 60
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.25,
|
102 |
+
"learning_rate": 0.000299808,
|
103 |
+
"loss": 1.7915,
|
104 |
+
"step": 65
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.27,
|
108 |
+
"learning_rate": 0.00029979299999999997,
|
109 |
+
"loss": 1.7815,
|
110 |
+
"step": 70
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.29,
|
114 |
+
"learning_rate": 0.000299778,
|
115 |
+
"loss": 1.7876,
|
116 |
+
"step": 75
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.29,
|
120 |
+
"eval_accuracy": 0.6446729540614542,
|
121 |
+
"eval_loss": 1.7794435024261475,
|
122 |
+
"eval_runtime": 60.2635,
|
123 |
+
"eval_samples_per_second": 165.938,
|
124 |
+
"eval_steps_per_second": 10.371,
|
125 |
+
"step": 75
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 0.31,
|
129 |
+
"learning_rate": 0.000299763,
|
130 |
+
"loss": 1.7707,
|
131 |
+
"step": 80
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 0.33,
|
135 |
+
"learning_rate": 0.00029974799999999996,
|
136 |
+
"loss": 1.7773,
|
137 |
+
"step": 85
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 0.35,
|
141 |
+
"learning_rate": 0.000299733,
|
142 |
+
"loss": 1.7759,
|
143 |
+
"step": 90
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 0.37,
|
147 |
+
"learning_rate": 0.000299718,
|
148 |
+
"loss": 1.7662,
|
149 |
+
"step": 95
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.39,
|
153 |
+
"learning_rate": 0.00029970299999999996,
|
154 |
+
"loss": 1.7729,
|
155 |
+
"step": 100
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 0.39,
|
159 |
+
"eval_accuracy": 0.6465878115264797,
|
160 |
+
"eval_loss": 1.7647390365600586,
|
161 |
+
"eval_runtime": 60.2769,
|
162 |
+
"eval_samples_per_second": 165.901,
|
163 |
+
"eval_steps_per_second": 10.369,
|
164 |
+
"step": 100
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.41,
|
168 |
+
"learning_rate": 0.00029968799999999994,
|
169 |
+
"loss": 1.7748,
|
170 |
+
"step": 105
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.43,
|
174 |
+
"learning_rate": 0.000299673,
|
175 |
+
"loss": 1.7706,
|
176 |
+
"step": 110
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.44,
|
180 |
+
"learning_rate": 0.00029965799999999996,
|
181 |
+
"loss": 1.785,
|
182 |
+
"step": 115
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.46,
|
186 |
+
"learning_rate": 0.000299643,
|
187 |
+
"loss": 1.778,
|
188 |
+
"step": 120
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.48,
|
192 |
+
"learning_rate": 0.00029962799999999997,
|
193 |
+
"loss": 1.7919,
|
194 |
+
"step": 125
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.48,
|
198 |
+
"eval_accuracy": 0.6427293636595962,
|
199 |
+
"eval_loss": 1.7991459369659424,
|
200 |
+
"eval_runtime": 60.2605,
|
201 |
+
"eval_samples_per_second": 165.946,
|
202 |
+
"eval_steps_per_second": 10.372,
|
203 |
+
"step": 125
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 0.5,
|
207 |
+
"learning_rate": 0.00029961299999999995,
|
208 |
+
"loss": 1.8059,
|
209 |
+
"step": 130
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 0.52,
|
213 |
+
"learning_rate": 0.000299598,
|
214 |
+
"loss": 1.7882,
|
215 |
+
"step": 135
|
216 |
+
},
|
217 |
+
{
|
218 |
+
"epoch": 0.54,
|
219 |
+
"learning_rate": 0.00029958299999999997,
|
220 |
+
"loss": 2.0033,
|
221 |
+
"step": 140
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 0.56,
|
225 |
+
"learning_rate": 0.00029956799999999995,
|
226 |
+
"loss": 1.9014,
|
227 |
+
"step": 145
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 0.58,
|
231 |
+
"learning_rate": 0.000299553,
|
232 |
+
"loss": 1.858,
|
233 |
+
"step": 150
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.58,
|
237 |
+
"eval_accuracy": 0.6386691654294546,
|
238 |
+
"eval_loss": 1.8227039575576782,
|
239 |
+
"eval_runtime": 60.2921,
|
240 |
+
"eval_samples_per_second": 165.859,
|
241 |
+
"eval_steps_per_second": 10.366,
|
242 |
+
"step": 150
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.6,
|
246 |
+
"learning_rate": 0.00029953799999999996,
|
247 |
+
"loss": 1.8575,
|
248 |
+
"step": 155
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.62,
|
252 |
+
"learning_rate": 0.000299523,
|
253 |
+
"loss": 1.8191,
|
254 |
+
"step": 160
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.64,
|
258 |
+
"learning_rate": 0.00029951099999999997,
|
259 |
+
"loss": 1.8317,
|
260 |
+
"step": 165
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 0.66,
|
264 |
+
"learning_rate": 0.00029949599999999995,
|
265 |
+
"loss": 1.8389,
|
266 |
+
"step": 170
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 0.68,
|
270 |
+
"learning_rate": 0.000299481,
|
271 |
+
"loss": 1.8151,
|
272 |
+
"step": 175
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 0.68,
|
276 |
+
"eval_accuracy": 0.632689569566646,
|
277 |
+
"eval_loss": 1.8751027584075928,
|
278 |
+
"eval_runtime": 60.4671,
|
279 |
+
"eval_samples_per_second": 165.379,
|
280 |
+
"eval_steps_per_second": 10.336,
|
281 |
+
"step": 175
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 0.7,
|
285 |
+
"learning_rate": 0.00029946599999999997,
|
286 |
+
"loss": 1.8842,
|
287 |
+
"step": 180
|
288 |
+
},
|
289 |
+
{
|
290 |
+
"epoch": 0.72,
|
291 |
+
"learning_rate": 0.00029945099999999995,
|
292 |
+
"loss": 1.8344,
|
293 |
+
"step": 185
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 0.74,
|
297 |
+
"learning_rate": 0.000299436,
|
298 |
+
"loss": 1.8594,
|
299 |
+
"step": 190
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 0.75,
|
303 |
+
"learning_rate": 0.00029942099999999996,
|
304 |
+
"loss": 1.9278,
|
305 |
+
"step": 195
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 0.77,
|
309 |
+
"learning_rate": 0.000299406,
|
310 |
+
"loss": 1.8539,
|
311 |
+
"step": 200
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 0.77,
|
315 |
+
"eval_accuracy": 0.6372984484332218,
|
316 |
+
"eval_loss": 1.8315496444702148,
|
317 |
+
"eval_runtime": 60.2374,
|
318 |
+
"eval_samples_per_second": 166.01,
|
319 |
+
"eval_steps_per_second": 10.376,
|
320 |
+
"step": 200
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 0.79,
|
324 |
+
"learning_rate": 0.000299391,
|
325 |
+
"loss": 1.8632,
|
326 |
+
"step": 205
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 0.81,
|
330 |
+
"learning_rate": 0.00029937599999999996,
|
331 |
+
"loss": 1.907,
|
332 |
+
"step": 210
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.83,
|
336 |
+
"learning_rate": 0.000299361,
|
337 |
+
"loss": 1.8705,
|
338 |
+
"step": 215
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.85,
|
342 |
+
"learning_rate": 0.000299346,
|
343 |
+
"loss": 1.8825,
|
344 |
+
"step": 220
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 0.87,
|
348 |
+
"learning_rate": 0.000299331,
|
349 |
+
"loss": 1.8623,
|
350 |
+
"step": 225
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 0.87,
|
354 |
+
"eval_accuracy": 0.6348281107392759,
|
355 |
+
"eval_loss": 1.846932053565979,
|
356 |
+
"eval_runtime": 60.3517,
|
357 |
+
"eval_samples_per_second": 165.695,
|
358 |
+
"eval_steps_per_second": 10.356,
|
359 |
+
"step": 225
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.89,
|
363 |
+
"learning_rate": 0.000299316,
|
364 |
+
"loss": 1.8923,
|
365 |
+
"step": 230
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 0.91,
|
369 |
+
"learning_rate": 0.00029930099999999997,
|
370 |
+
"loss": 1.852,
|
371 |
+
"step": 235
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 0.93,
|
375 |
+
"learning_rate": 0.00029928599999999995,
|
376 |
+
"loss": 1.8754,
|
377 |
+
"step": 240
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 0.95,
|
381 |
+
"learning_rate": 0.00029927099999999993,
|
382 |
+
"loss": 1.9014,
|
383 |
+
"step": 245
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 0.97,
|
387 |
+
"learning_rate": 0.00029925599999999997,
|
388 |
+
"loss": 1.8992,
|
389 |
+
"step": 250
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 0.97,
|
393 |
+
"eval_accuracy": 0.6353137321715426,
|
394 |
+
"eval_loss": 1.846245288848877,
|
395 |
+
"eval_runtime": 60.4965,
|
396 |
+
"eval_samples_per_second": 165.299,
|
397 |
+
"eval_steps_per_second": 10.331,
|
398 |
+
"step": 250
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 0.99,
|
402 |
+
"learning_rate": 0.00029924099999999995,
|
403 |
+
"loss": 1.8759,
|
404 |
+
"step": 255
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 1.01,
|
408 |
+
"learning_rate": 0.000299226,
|
409 |
+
"loss": 2.0852,
|
410 |
+
"step": 260
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 1.03,
|
414 |
+
"learning_rate": 0.00029921099999999996,
|
415 |
+
"loss": 1.8663,
|
416 |
+
"step": 265
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 1.05,
|
420 |
+
"learning_rate": 0.00029919599999999995,
|
421 |
+
"loss": 1.8555,
|
422 |
+
"step": 270
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 1.07,
|
426 |
+
"learning_rate": 0.000299181,
|
427 |
+
"loss": 1.8717,
|
428 |
+
"step": 275
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 1.07,
|
432 |
+
"eval_accuracy": 0.6298189252336449,
|
433 |
+
"eval_loss": 1.8705145120620728,
|
434 |
+
"eval_runtime": 60.3399,
|
435 |
+
"eval_samples_per_second": 165.728,
|
436 |
+
"eval_steps_per_second": 10.358,
|
437 |
+
"step": 275
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 1.09,
|
441 |
+
"learning_rate": 0.00029916599999999996,
|
442 |
+
"loss": 1.9226,
|
443 |
+
"step": 280
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 1.1,
|
447 |
+
"learning_rate": 0.000299151,
|
448 |
+
"loss": 2.0094,
|
449 |
+
"step": 285
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 1.12,
|
453 |
+
"learning_rate": 0.000299136,
|
454 |
+
"loss": 1.9307,
|
455 |
+
"step": 290
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 1.14,
|
459 |
+
"learning_rate": 0.00029912099999999996,
|
460 |
+
"loss": 1.9055,
|
461 |
+
"step": 295
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 1.16,
|
465 |
+
"learning_rate": 0.000299106,
|
466 |
+
"loss": 1.9057,
|
467 |
+
"step": 300
|
468 |
+
},
|
469 |
+
{
|
470 |
+
"epoch": 1.16,
|
471 |
+
"eval_accuracy": 0.6247444509345794,
|
472 |
+
"eval_loss": 1.913194179534912,
|
473 |
+
"eval_runtime": 60.3218,
|
474 |
+
"eval_samples_per_second": 165.778,
|
475 |
+
"eval_steps_per_second": 10.361,
|
476 |
+
"step": 300
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 1.18,
|
480 |
+
"learning_rate": 0.00029909099999999997,
|
481 |
+
"loss": 1.8821,
|
482 |
+
"step": 305
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 1.2,
|
486 |
+
"learning_rate": 0.000299076,
|
487 |
+
"loss": 1.8635,
|
488 |
+
"step": 310
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 1.22,
|
492 |
+
"learning_rate": 0.000299061,
|
493 |
+
"loss": 1.8655,
|
494 |
+
"step": 315
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 1.24,
|
498 |
+
"learning_rate": 0.00029904599999999997,
|
499 |
+
"loss": 1.8642,
|
500 |
+
"step": 320
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 1.26,
|
504 |
+
"learning_rate": 0.000299031,
|
505 |
+
"loss": 1.8637,
|
506 |
+
"step": 325
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 1.26,
|
510 |
+
"eval_accuracy": 0.6270322235202492,
|
511 |
+
"eval_loss": 1.900992751121521,
|
512 |
+
"eval_runtime": 60.2836,
|
513 |
+
"eval_samples_per_second": 165.883,
|
514 |
+
"eval_steps_per_second": 10.368,
|
515 |
+
"step": 325
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 1.28,
|
519 |
+
"learning_rate": 0.000299016,
|
520 |
+
"loss": 1.9827,
|
521 |
+
"step": 330
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 1.3,
|
525 |
+
"learning_rate": 0.00029900099999999997,
|
526 |
+
"loss": 1.95,
|
527 |
+
"step": 335
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 1.32,
|
531 |
+
"learning_rate": 0.00029898599999999995,
|
532 |
+
"loss": 1.9358,
|
533 |
+
"step": 340
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 1.34,
|
537 |
+
"learning_rate": 0.000298971,
|
538 |
+
"loss": 1.9403,
|
539 |
+
"step": 345
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 1.36,
|
543 |
+
"learning_rate": 0.00029895599999999996,
|
544 |
+
"loss": 1.947,
|
545 |
+
"step": 350
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 1.36,
|
549 |
+
"eval_accuracy": 0.6236979166666666,
|
550 |
+
"eval_loss": 1.903308629989624,
|
551 |
+
"eval_runtime": 60.3153,
|
552 |
+
"eval_samples_per_second": 165.796,
|
553 |
+
"eval_steps_per_second": 10.362,
|
554 |
+
"step": 350
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 1.36,
|
558 |
+
"step": 350,
|
559 |
+
"total_flos": 1.899141968469924e+17,
|
560 |
+
"train_loss": 1.8697899763924735,
|
561 |
+
"train_runtime": 46126.5574,
|
562 |
+
"train_samples_per_second": 17343.588,
|
563 |
+
"train_steps_per_second": 2.168
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 1.36,
|
567 |
+
"eval_accuracy": 0.6470223174085522,
|
568 |
+
"eval_loss": 1.767507791519165,
|
569 |
+
"eval_runtime": 60.4981,
|
570 |
+
"eval_samples_per_second": 165.295,
|
571 |
+
"eval_steps_per_second": 10.331,
|
572 |
+
"step": 350
|
573 |
+
}
|
574 |
+
],
|
575 |
+
"max_steps": 100000,
|
576 |
+
"num_train_epochs": 388,
|
577 |
+
"total_flos": 1.899141968469924e+17,
|
578 |
+
"trial_name": null,
|
579 |
+
"trial_params": null
|
580 |
+
}
|