End of training
Browse files- all_results.json +20 -0
- eval_results.json +9 -0
- generated_predictions.txt +0 -0
- predict_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +250 -0
all_results.json
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 428.5,
|
3 |
+
"eval_exact_match": 0.774597495527728,
|
4 |
+
"eval_loss": 0.07756359130144119,
|
5 |
+
"eval_runtime": 81.3105,
|
6 |
+
"eval_samples": 559,
|
7 |
+
"eval_samples_per_second": 6.875,
|
8 |
+
"eval_steps_per_second": 0.861,
|
9 |
+
"predict_exact_match": 0.7754927163667523,
|
10 |
+
"predict_loss": 0.06615994870662689,
|
11 |
+
"predict_runtime": 125.5106,
|
12 |
+
"predict_samples": 1167,
|
13 |
+
"predict_samples_per_second": 9.298,
|
14 |
+
"predict_steps_per_second": 1.163,
|
15 |
+
"train_loss": 0.12990600236753622,
|
16 |
+
"train_runtime": 34726.3796,
|
17 |
+
"train_samples": 4077,
|
18 |
+
"train_samples_per_second": 44.232,
|
19 |
+
"train_steps_per_second": 0.086
|
20 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 428.5,
|
3 |
+
"eval_exact_match": 0.774597495527728,
|
4 |
+
"eval_loss": 0.07756359130144119,
|
5 |
+
"eval_runtime": 81.3105,
|
6 |
+
"eval_samples": 559,
|
7 |
+
"eval_samples_per_second": 6.875,
|
8 |
+
"eval_steps_per_second": 0.861
|
9 |
+
}
|
generated_predictions.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
predict_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"predict_exact_match": 0.7754927163667523,
|
3 |
+
"predict_loss": 0.06615994870662689,
|
4 |
+
"predict_runtime": 125.5106,
|
5 |
+
"predict_samples": 1167,
|
6 |
+
"predict_samples_per_second": 9.298,
|
7 |
+
"predict_steps_per_second": 1.163
|
8 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 428.5,
|
3 |
+
"train_loss": 0.12990600236753622,
|
4 |
+
"train_runtime": 34726.3796,
|
5 |
+
"train_samples": 4077,
|
6 |
+
"train_samples_per_second": 44.232,
|
7 |
+
"train_steps_per_second": 0.086
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,250 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.07756359130144119,
|
3 |
+
"best_model_checkpoint": "/data/wheld3/mt5-base-pointer-cstop_artificial/checkpoint-400",
|
4 |
+
"epoch": 428.5019607843137,
|
5 |
+
"global_step": 3000,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 28.5,
|
12 |
+
"learning_rate": 0.0009333333333333333,
|
13 |
+
"loss": 1.7482,
|
14 |
+
"step": 200
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 28.5,
|
18 |
+
"eval_exact_match": 0.10196779964221825,
|
19 |
+
"eval_loss": 0.2504979968070984,
|
20 |
+
"eval_runtime": 32.6293,
|
21 |
+
"eval_samples_per_second": 17.132,
|
22 |
+
"eval_steps_per_second": 2.145,
|
23 |
+
"step": 200
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 57.13,
|
27 |
+
"learning_rate": 0.0008666666666666667,
|
28 |
+
"loss": 0.1366,
|
29 |
+
"step": 400
|
30 |
+
},
|
31 |
+
{
|
32 |
+
"epoch": 57.13,
|
33 |
+
"eval_exact_match": 0.32379248658318427,
|
34 |
+
"eval_loss": 0.07756359130144119,
|
35 |
+
"eval_runtime": 32.4871,
|
36 |
+
"eval_samples_per_second": 17.207,
|
37 |
+
"eval_steps_per_second": 2.155,
|
38 |
+
"step": 400
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 85.63,
|
42 |
+
"learning_rate": 0.0008,
|
43 |
+
"loss": 0.0275,
|
44 |
+
"step": 600
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 85.63,
|
48 |
+
"eval_exact_match": 0.33810375670840787,
|
49 |
+
"eval_loss": 0.0881282389163971,
|
50 |
+
"eval_runtime": 32.966,
|
51 |
+
"eval_samples_per_second": 16.957,
|
52 |
+
"eval_steps_per_second": 2.123,
|
53 |
+
"step": 600
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 114.25,
|
57 |
+
"learning_rate": 0.0007333333333333333,
|
58 |
+
"loss": 0.0114,
|
59 |
+
"step": 800
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 114.25,
|
63 |
+
"eval_exact_match": 0.33989266547406083,
|
64 |
+
"eval_loss": 0.0990389883518219,
|
65 |
+
"eval_runtime": 33.8803,
|
66 |
+
"eval_samples_per_second": 16.499,
|
67 |
+
"eval_steps_per_second": 2.066,
|
68 |
+
"step": 800
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 142.75,
|
72 |
+
"learning_rate": 0.0006666666666666666,
|
73 |
+
"loss": 0.0064,
|
74 |
+
"step": 1000
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 142.75,
|
78 |
+
"eval_exact_match": 0.3416815742397138,
|
79 |
+
"eval_loss": 0.11197585612535477,
|
80 |
+
"eval_runtime": 32.7339,
|
81 |
+
"eval_samples_per_second": 17.077,
|
82 |
+
"eval_steps_per_second": 2.138,
|
83 |
+
"step": 1000
|
84 |
+
},
|
85 |
+
{
|
86 |
+
"epoch": 171.38,
|
87 |
+
"learning_rate": 0.0006,
|
88 |
+
"loss": 0.0045,
|
89 |
+
"step": 1200
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 171.38,
|
93 |
+
"eval_exact_match": 0.3434704830053667,
|
94 |
+
"eval_loss": 0.10809481889009476,
|
95 |
+
"eval_runtime": 32.4483,
|
96 |
+
"eval_samples_per_second": 17.227,
|
97 |
+
"eval_steps_per_second": 2.157,
|
98 |
+
"step": 1200
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 199.88,
|
102 |
+
"learning_rate": 0.0005333333333333334,
|
103 |
+
"loss": 0.0036,
|
104 |
+
"step": 1400
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 199.88,
|
108 |
+
"eval_exact_match": 0.3434704830053667,
|
109 |
+
"eval_loss": 0.12303601205348969,
|
110 |
+
"eval_runtime": 33.761,
|
111 |
+
"eval_samples_per_second": 16.558,
|
112 |
+
"eval_steps_per_second": 2.073,
|
113 |
+
"step": 1400
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 228.5,
|
117 |
+
"learning_rate": 0.00046666666666666666,
|
118 |
+
"loss": 0.0025,
|
119 |
+
"step": 1600
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 228.5,
|
123 |
+
"eval_exact_match": 0.33989266547406083,
|
124 |
+
"eval_loss": 0.12110502272844315,
|
125 |
+
"eval_runtime": 39.4879,
|
126 |
+
"eval_samples_per_second": 14.156,
|
127 |
+
"eval_steps_per_second": 1.773,
|
128 |
+
"step": 1600
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 257.13,
|
132 |
+
"learning_rate": 0.0004,
|
133 |
+
"loss": 0.002,
|
134 |
+
"step": 1800
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 257.13,
|
138 |
+
"eval_exact_match": 0.33989266547406083,
|
139 |
+
"eval_loss": 0.13667185604572296,
|
140 |
+
"eval_runtime": 33.6552,
|
141 |
+
"eval_samples_per_second": 16.61,
|
142 |
+
"eval_steps_per_second": 2.08,
|
143 |
+
"step": 1800
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 285.63,
|
147 |
+
"learning_rate": 0.0003333333333333333,
|
148 |
+
"loss": 0.0016,
|
149 |
+
"step": 2000
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 285.63,
|
153 |
+
"eval_exact_match": 0.3434704830053667,
|
154 |
+
"eval_loss": 0.13241663575172424,
|
155 |
+
"eval_runtime": 33.4579,
|
156 |
+
"eval_samples_per_second": 16.708,
|
157 |
+
"eval_steps_per_second": 2.092,
|
158 |
+
"step": 2000
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 314.25,
|
162 |
+
"learning_rate": 0.0002666666666666667,
|
163 |
+
"loss": 0.0013,
|
164 |
+
"step": 2200
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 314.25,
|
168 |
+
"eval_exact_match": 0.3470483005366726,
|
169 |
+
"eval_loss": 0.13395807147026062,
|
170 |
+
"eval_runtime": 34.1281,
|
171 |
+
"eval_samples_per_second": 16.379,
|
172 |
+
"eval_steps_per_second": 2.051,
|
173 |
+
"step": 2200
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 342.75,
|
177 |
+
"learning_rate": 0.0002,
|
178 |
+
"loss": 0.001,
|
179 |
+
"step": 2400
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 342.75,
|
183 |
+
"eval_exact_match": 0.3434704830053667,
|
184 |
+
"eval_loss": 0.13736827671527863,
|
185 |
+
"eval_runtime": 33.0567,
|
186 |
+
"eval_samples_per_second": 16.91,
|
187 |
+
"eval_steps_per_second": 2.118,
|
188 |
+
"step": 2400
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 371.38,
|
192 |
+
"learning_rate": 0.00013333333333333334,
|
193 |
+
"loss": 0.0009,
|
194 |
+
"step": 2600
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 371.38,
|
198 |
+
"eval_exact_match": 0.3416815742397138,
|
199 |
+
"eval_loss": 0.13843561708927155,
|
200 |
+
"eval_runtime": 33.1328,
|
201 |
+
"eval_samples_per_second": 16.871,
|
202 |
+
"eval_steps_per_second": 2.113,
|
203 |
+
"step": 2600
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 399.88,
|
207 |
+
"learning_rate": 6.666666666666667e-05,
|
208 |
+
"loss": 0.0007,
|
209 |
+
"step": 2800
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 399.88,
|
213 |
+
"eval_exact_match": 0.3434704830053667,
|
214 |
+
"eval_loss": 0.1421527862548828,
|
215 |
+
"eval_runtime": 32.5079,
|
216 |
+
"eval_samples_per_second": 17.196,
|
217 |
+
"eval_steps_per_second": 2.153,
|
218 |
+
"step": 2800
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 428.5,
|
222 |
+
"learning_rate": 0.0,
|
223 |
+
"loss": 0.0006,
|
224 |
+
"step": 3000
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 428.5,
|
228 |
+
"eval_exact_match": 0.3416815742397138,
|
229 |
+
"eval_loss": 0.1451684683561325,
|
230 |
+
"eval_runtime": 32.385,
|
231 |
+
"eval_samples_per_second": 17.261,
|
232 |
+
"eval_steps_per_second": 2.161,
|
233 |
+
"step": 3000
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 428.5,
|
237 |
+
"step": 3000,
|
238 |
+
"total_flos": 7.330479471426355e+16,
|
239 |
+
"train_loss": 0.12990600236753622,
|
240 |
+
"train_runtime": 34726.3796,
|
241 |
+
"train_samples_per_second": 44.232,
|
242 |
+
"train_steps_per_second": 0.086
|
243 |
+
}
|
244 |
+
],
|
245 |
+
"max_steps": 3000,
|
246 |
+
"num_train_epochs": 429,
|
247 |
+
"total_flos": 7.330479471426355e+16,
|
248 |
+
"trial_name": null,
|
249 |
+
"trial_params": null
|
250 |
+
}
|