End of training
Browse files- all_results.json +15 -0
- eval_nbest_predictions.json +2 -2
- eval_predictions.json +0 -0
- eval_results.json +9 -0
- runs/May09_13-10-15_ml-machine/events.out.tfevents.1715264539.ml-machine.14546.1 +3 -0
- train_results.json +9 -0
- trainer_state.json +280 -0
all_results.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"eval_exact_match": 52.96875,
|
4 |
+
"eval_f1": 66.94393744369789,
|
5 |
+
"eval_runtime": 42.7566,
|
6 |
+
"eval_samples": 3858,
|
7 |
+
"eval_samples_per_second": 90.232,
|
8 |
+
"eval_steps_per_second": 3.228,
|
9 |
+
"total_flos": 3.575911440121344e+16,
|
10 |
+
"train_loss": 1.4707286109222224,
|
11 |
+
"train_runtime": 4171.843,
|
12 |
+
"train_samples": 18247,
|
13 |
+
"train_samples_per_second": 43.738,
|
14 |
+
"train_steps_per_second": 1.563
|
15 |
+
}
|
eval_nbest_predictions.json
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 sha256:113cd778ada546481f4df0b7e3b6b380d157f57bf2003a6f29ce2d32b0b89b96
|
3 |
+
size 24315769
|
eval_predictions.json
CHANGED
The diff for this file is too large to render.
See raw diff
|
|
eval_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"eval_exact_match": 52.96875,
|
4 |
+
"eval_f1": 66.94393744369789,
|
5 |
+
"eval_runtime": 42.7566,
|
6 |
+
"eval_samples": 3858,
|
7 |
+
"eval_samples_per_second": 90.232,
|
8 |
+
"eval_steps_per_second": 3.228
|
9 |
+
}
|
runs/May09_13-10-15_ml-machine/events.out.tfevents.1715264539.ml-machine.14546.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:33b04a4fe7b9867ca9efc29ab1d064ca1640836f45b2dbc731b7c297df1706f0
|
3 |
+
size 412
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"total_flos": 3.575911440121344e+16,
|
4 |
+
"train_loss": 1.4707286109222224,
|
5 |
+
"train_runtime": 4171.843,
|
6 |
+
"train_samples": 18247,
|
7 |
+
"train_samples_per_second": 43.738,
|
8 |
+
"train_steps_per_second": 1.563
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,280 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 66.94393744369789,
|
3 |
+
"best_model_checkpoint": "/root/turkic_qa/en_kaz_models/en_kaz_xlm_roberta_base_model/checkpoint-4564",
|
4 |
+
"epoch": 10.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 6520,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 1.0,
|
13 |
+
"step": 652,
|
14 |
+
"train_exact_match": 23.376623376623378,
|
15 |
+
"train_f1": 36.50743629600778,
|
16 |
+
"train_runtime": 13.9023,
|
17 |
+
"train_samples_per_second": 88.259,
|
18 |
+
"train_steps_per_second": 3.165
|
19 |
+
},
|
20 |
+
{
|
21 |
+
"epoch": 1.0,
|
22 |
+
"grad_norm": 32.58616256713867,
|
23 |
+
"learning_rate": 5e-06,
|
24 |
+
"loss": 4.6656,
|
25 |
+
"step": 652
|
26 |
+
},
|
27 |
+
{
|
28 |
+
"epoch": 1.0,
|
29 |
+
"eval_exact_match": 19.9375,
|
30 |
+
"eval_f1": 32.80148318666002,
|
31 |
+
"eval_runtime": 43.5607,
|
32 |
+
"eval_samples_per_second": 88.566,
|
33 |
+
"eval_steps_per_second": 3.168,
|
34 |
+
"step": 652
|
35 |
+
},
|
36 |
+
{
|
37 |
+
"epoch": 2.0,
|
38 |
+
"step": 1304,
|
39 |
+
"train_exact_match": 47.15284715284715,
|
40 |
+
"train_f1": 62.44620681983165,
|
41 |
+
"train_runtime": 13.8553,
|
42 |
+
"train_samples_per_second": 89.568,
|
43 |
+
"train_steps_per_second": 3.248
|
44 |
+
},
|
45 |
+
{
|
46 |
+
"epoch": 2.0,
|
47 |
+
"grad_norm": 37.57294845581055,
|
48 |
+
"learning_rate": 1e-05,
|
49 |
+
"loss": 2.2206,
|
50 |
+
"step": 1304
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 2.0,
|
54 |
+
"eval_exact_match": 43.125,
|
55 |
+
"eval_f1": 59.36157776305659,
|
56 |
+
"eval_runtime": 42.8686,
|
57 |
+
"eval_samples_per_second": 89.996,
|
58 |
+
"eval_steps_per_second": 3.219,
|
59 |
+
"step": 1304
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 3.0,
|
63 |
+
"step": 1956,
|
64 |
+
"train_exact_match": 58.841158841158844,
|
65 |
+
"train_f1": 73.32741649456507,
|
66 |
+
"train_runtime": 13.6223,
|
67 |
+
"train_samples_per_second": 88.532,
|
68 |
+
"train_steps_per_second": 3.23
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 3.0,
|
72 |
+
"grad_norm": 28.621103286743164,
|
73 |
+
"learning_rate": 8.750000000000001e-06,
|
74 |
+
"loss": 1.5696,
|
75 |
+
"step": 1956
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 3.0,
|
79 |
+
"eval_exact_match": 48.875,
|
80 |
+
"eval_f1": 64.04956970752869,
|
81 |
+
"eval_runtime": 42.952,
|
82 |
+
"eval_samples_per_second": 89.821,
|
83 |
+
"eval_steps_per_second": 3.213,
|
84 |
+
"step": 1956
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 4.0,
|
88 |
+
"step": 2608,
|
89 |
+
"train_exact_match": 64.63536463536464,
|
90 |
+
"train_f1": 77.93182455149633,
|
91 |
+
"train_runtime": 13.9838,
|
92 |
+
"train_samples_per_second": 90.104,
|
93 |
+
"train_steps_per_second": 3.218
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 4.0,
|
97 |
+
"grad_norm": 32.638771057128906,
|
98 |
+
"learning_rate": 7.500000000000001e-06,
|
99 |
+
"loss": 1.2762,
|
100 |
+
"step": 2608
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 4.0,
|
104 |
+
"eval_exact_match": 50.21875,
|
105 |
+
"eval_f1": 65.455060310372,
|
106 |
+
"eval_runtime": 42.6703,
|
107 |
+
"eval_samples_per_second": 90.414,
|
108 |
+
"eval_steps_per_second": 3.234,
|
109 |
+
"step": 2608
|
110 |
+
},
|
111 |
+
{
|
112 |
+
"epoch": 5.0,
|
113 |
+
"step": 3260,
|
114 |
+
"train_exact_match": 67.43256743256744,
|
115 |
+
"train_f1": 81.29037094900592,
|
116 |
+
"train_runtime": 13.5595,
|
117 |
+
"train_samples_per_second": 89.236,
|
118 |
+
"train_steps_per_second": 3.245
|
119 |
+
},
|
120 |
+
{
|
121 |
+
"epoch": 5.0,
|
122 |
+
"grad_norm": 30.29413414001465,
|
123 |
+
"learning_rate": 6.25e-06,
|
124 |
+
"loss": 1.0933,
|
125 |
+
"step": 3260
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 5.0,
|
129 |
+
"eval_exact_match": 52.09375,
|
130 |
+
"eval_f1": 66.46298976895542,
|
131 |
+
"eval_runtime": 42.7773,
|
132 |
+
"eval_samples_per_second": 90.188,
|
133 |
+
"eval_steps_per_second": 3.226,
|
134 |
+
"step": 3260
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 6.0,
|
138 |
+
"step": 3912,
|
139 |
+
"train_exact_match": 72.22777222777223,
|
140 |
+
"train_f1": 85.17963193748265,
|
141 |
+
"train_runtime": 13.2269,
|
142 |
+
"train_samples_per_second": 88.986,
|
143 |
+
"train_steps_per_second": 3.251
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 6.0,
|
147 |
+
"grad_norm": 39.73823547363281,
|
148 |
+
"learning_rate": 5e-06,
|
149 |
+
"loss": 0.9411,
|
150 |
+
"step": 3912
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 6.0,
|
154 |
+
"eval_exact_match": 52.1875,
|
155 |
+
"eval_f1": 66.65227927064453,
|
156 |
+
"eval_runtime": 42.8644,
|
157 |
+
"eval_samples_per_second": 90.005,
|
158 |
+
"eval_steps_per_second": 3.219,
|
159 |
+
"step": 3912
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 7.0,
|
163 |
+
"step": 4564,
|
164 |
+
"train_exact_match": 73.22677322677323,
|
165 |
+
"train_f1": 86.58009920694694,
|
166 |
+
"train_runtime": 13.5591,
|
167 |
+
"train_samples_per_second": 89.239,
|
168 |
+
"train_steps_per_second": 3.245
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 7.0,
|
172 |
+
"grad_norm": 25.444896697998047,
|
173 |
+
"learning_rate": 3.7500000000000005e-06,
|
174 |
+
"loss": 0.8381,
|
175 |
+
"step": 4564
|
176 |
+
},
|
177 |
+
{
|
178 |
+
"epoch": 7.0,
|
179 |
+
"eval_exact_match": 52.96875,
|
180 |
+
"eval_f1": 66.94393744369789,
|
181 |
+
"eval_runtime": 42.8557,
|
182 |
+
"eval_samples_per_second": 90.023,
|
183 |
+
"eval_steps_per_second": 3.22,
|
184 |
+
"step": 4564
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 8.0,
|
188 |
+
"step": 5216,
|
189 |
+
"train_exact_match": 77.62237762237763,
|
190 |
+
"train_f1": 88.51013925221713,
|
191 |
+
"train_runtime": 13.9418,
|
192 |
+
"train_samples_per_second": 86.431,
|
193 |
+
"train_steps_per_second": 3.156
|
194 |
+
},
|
195 |
+
{
|
196 |
+
"epoch": 8.0,
|
197 |
+
"grad_norm": 26.798072814941406,
|
198 |
+
"learning_rate": 2.5e-06,
|
199 |
+
"loss": 0.7554,
|
200 |
+
"step": 5216
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 8.0,
|
204 |
+
"eval_exact_match": 52.59375,
|
205 |
+
"eval_f1": 66.93975585361125,
|
206 |
+
"eval_runtime": 43.736,
|
207 |
+
"eval_samples_per_second": 88.211,
|
208 |
+
"eval_steps_per_second": 3.155,
|
209 |
+
"step": 5216
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 9.0,
|
213 |
+
"step": 5868,
|
214 |
+
"train_exact_match": 77.82217782217782,
|
215 |
+
"train_f1": 90.31779721748207,
|
216 |
+
"train_runtime": 13.6001,
|
217 |
+
"train_samples_per_second": 89.484,
|
218 |
+
"train_steps_per_second": 3.235
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 9.0,
|
222 |
+
"grad_norm": 40.23249816894531,
|
223 |
+
"learning_rate": 1.25e-06,
|
224 |
+
"loss": 0.6921,
|
225 |
+
"step": 5868
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 9.0,
|
229 |
+
"eval_exact_match": 52.53125,
|
230 |
+
"eval_f1": 66.82837223175379,
|
231 |
+
"eval_runtime": 43.0325,
|
232 |
+
"eval_samples_per_second": 89.653,
|
233 |
+
"eval_steps_per_second": 3.207,
|
234 |
+
"step": 5868
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 10.0,
|
238 |
+
"step": 6520,
|
239 |
+
"train_exact_match": 78.82117882117882,
|
240 |
+
"train_f1": 90.52466502877378,
|
241 |
+
"train_runtime": 13.1929,
|
242 |
+
"train_samples_per_second": 89.29,
|
243 |
+
"train_steps_per_second": 3.259
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 10.0,
|
247 |
+
"grad_norm": 33.59892654418945,
|
248 |
+
"learning_rate": 0.0,
|
249 |
+
"loss": 0.6552,
|
250 |
+
"step": 6520
|
251 |
+
},
|
252 |
+
{
|
253 |
+
"epoch": 10.0,
|
254 |
+
"eval_exact_match": 52.78125,
|
255 |
+
"eval_f1": 66.90542651172623,
|
256 |
+
"eval_runtime": 42.7756,
|
257 |
+
"eval_samples_per_second": 90.192,
|
258 |
+
"eval_steps_per_second": 3.226,
|
259 |
+
"step": 6520
|
260 |
+
},
|
261 |
+
{
|
262 |
+
"epoch": 10.0,
|
263 |
+
"step": 6520,
|
264 |
+
"total_flos": 3.575911440121344e+16,
|
265 |
+
"train_loss": 1.4707286109222224,
|
266 |
+
"train_runtime": 4171.843,
|
267 |
+
"train_samples_per_second": 43.738,
|
268 |
+
"train_steps_per_second": 1.563
|
269 |
+
}
|
270 |
+
],
|
271 |
+
"logging_steps": 500,
|
272 |
+
"max_steps": 6520,
|
273 |
+
"num_input_tokens_seen": 0,
|
274 |
+
"num_train_epochs": 10,
|
275 |
+
"save_steps": 500,
|
276 |
+
"total_flos": 3.575911440121344e+16,
|
277 |
+
"train_batch_size": 28,
|
278 |
+
"trial_name": null,
|
279 |
+
"trial_params": null
|
280 |
+
}
|