add fp32 chk
Browse files- all_results.json +14 -14
- config.json +2 -2
- eval_results.json +10 -10
- pytorch_model.bin +2 -2
- tokenizer_config.json +1 -1
- train_results.json +5 -5
- trainer_state.json +152 -341
- training_args.bin +2 -2
all_results.json
CHANGED
@@ -1,18 +1,18 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_gen_len": 122.
|
4 |
-
"eval_loss": 2.
|
5 |
-
"eval_rouge1": 58.
|
6 |
-
"eval_rouge2":
|
7 |
-
"eval_rougeL": 44.
|
8 |
-
"eval_rougeLsum": 54.
|
9 |
-
"eval_runtime":
|
10 |
"eval_samples": 1000,
|
11 |
-
"eval_samples_per_second": 0.
|
12 |
-
"eval_steps_per_second": 0.
|
13 |
-
"train_loss": 0.
|
14 |
-
"train_runtime":
|
15 |
"train_samples": 29441,
|
16 |
-
"train_samples_per_second":
|
17 |
-
"train_steps_per_second": 0.
|
18 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"eval_gen_len": 122.85,
|
4 |
+
"eval_loss": 2.1855268478393555,
|
5 |
+
"eval_rouge1": 58.2278,
|
6 |
+
"eval_rouge2": 28.9939,
|
7 |
+
"eval_rougeL": 44.6946,
|
8 |
+
"eval_rougeLsum": 54.4068,
|
9 |
+
"eval_runtime": 3779.6108,
|
10 |
"eval_samples": 1000,
|
11 |
+
"eval_samples_per_second": 0.265,
|
12 |
+
"eval_steps_per_second": 0.066,
|
13 |
+
"train_loss": 0.10453087175669877,
|
14 |
+
"train_runtime": 27358.0249,
|
15 |
"train_samples": 29441,
|
16 |
+
"train_samples_per_second": 1.076,
|
17 |
+
"train_steps_per_second": 0.004
|
18 |
}
|
config.json
CHANGED
@@ -1,5 +1,5 @@
|
|
1 |
{
|
2 |
-
"_name_or_path": "pszemraj/flan-t5-large-stacked-
|
3 |
"architectures": [
|
4 |
"T5ForConditionalGeneration"
|
5 |
],
|
@@ -25,7 +25,7 @@
|
|
25 |
"relative_attention_max_distance": 128,
|
26 |
"relative_attention_num_buckets": 32,
|
27 |
"tie_word_embeddings": false,
|
28 |
-
"torch_dtype": "
|
29 |
"transformers_version": "4.26.0.dev0",
|
30 |
"use_cache": true,
|
31 |
"vocab_size": 32128
|
|
|
1 |
{
|
2 |
+
"_name_or_path": "pszemraj/flan-t5-large-stacked-samsum-1024-FP32",
|
3 |
"architectures": [
|
4 |
"T5ForConditionalGeneration"
|
5 |
],
|
|
|
25 |
"relative_attention_max_distance": 128,
|
26 |
"relative_attention_num_buckets": 32,
|
27 |
"tie_word_embeddings": false,
|
28 |
+
"torch_dtype": "float32",
|
29 |
"transformers_version": "4.26.0.dev0",
|
30 |
"use_cache": true,
|
31 |
"vocab_size": 32128
|
eval_results.json
CHANGED
@@ -1,13 +1,13 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_gen_len": 122.
|
4 |
-
"eval_loss": 2.
|
5 |
-
"eval_rouge1": 58.
|
6 |
-
"eval_rouge2":
|
7 |
-
"eval_rougeL": 44.
|
8 |
-
"eval_rougeLsum": 54.
|
9 |
-
"eval_runtime":
|
10 |
"eval_samples": 1000,
|
11 |
-
"eval_samples_per_second": 0.
|
12 |
-
"eval_steps_per_second": 0.
|
13 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"eval_gen_len": 122.85,
|
4 |
+
"eval_loss": 2.1855268478393555,
|
5 |
+
"eval_rouge1": 58.2278,
|
6 |
+
"eval_rouge2": 28.9939,
|
7 |
+
"eval_rougeL": 44.6946,
|
8 |
+
"eval_rougeLsum": 54.4068,
|
9 |
+
"eval_runtime": 3779.6108,
|
10 |
"eval_samples": 1000,
|
11 |
+
"eval_samples_per_second": 0.265,
|
12 |
+
"eval_steps_per_second": 0.066
|
13 |
}
|
pytorch_model.bin
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 sha256:48e1444ded77a29b2a7173d934981b6e9107abf86815db08298cd227e8c8b5f9
|
3 |
+
size 3132793669
|
tokenizer_config.json
CHANGED
@@ -104,7 +104,7 @@
|
|
104 |
"eos_token": "</s>",
|
105 |
"extra_ids": 100,
|
106 |
"model_max_length": 512,
|
107 |
-
"name_or_path": "pszemraj/flan-t5-large-stacked-
|
108 |
"pad_token": "<pad>",
|
109 |
"sp_model_kwargs": {},
|
110 |
"special_tokens_map_file": "/home/younes_huggingface_co/.cache/huggingface/hub/models--google--t5-v1_1-large/snapshots/314bc112b191ec17b625ba81438dc73d6c23659d/special_tokens_map.json",
|
|
|
104 |
"eos_token": "</s>",
|
105 |
"extra_ids": 100,
|
106 |
"model_max_length": 512,
|
107 |
+
"name_or_path": "pszemraj/flan-t5-large-stacked-samsum-1024-FP32",
|
108 |
"pad_token": "<pad>",
|
109 |
"sp_model_kwargs": {},
|
110 |
"special_tokens_map_file": "/home/younes_huggingface_co/.cache/huggingface/hub/models--google--t5-v1_1-large/snapshots/314bc112b191ec17b625ba81438dc73d6c23659d/special_tokens_map.json",
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 29441,
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"train_loss": 0.10453087175669877,
|
4 |
+
"train_runtime": 27358.0249,
|
5 |
"train_samples": 29441,
|
6 |
+
"train_samples_per_second": 1.076,
|
7 |
+
"train_steps_per_second": 0.004
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,507 +1,318 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch":
|
5 |
-
"global_step":
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
"epoch": 0.03,
|
12 |
-
"learning_rate": 0.
|
13 |
-
"loss": 0.
|
14 |
"step": 3
|
15 |
},
|
16 |
{
|
17 |
"epoch": 0.05,
|
18 |
-
"learning_rate":
|
19 |
-
"loss": 0.
|
20 |
"step": 6
|
21 |
},
|
22 |
{
|
23 |
"epoch": 0.08,
|
24 |
-
"learning_rate":
|
25 |
-
"loss": 0.
|
26 |
"step": 9
|
27 |
},
|
28 |
{
|
29 |
"epoch": 0.1,
|
30 |
-
"learning_rate":
|
31 |
-
"loss": 0.
|
32 |
"step": 12
|
33 |
},
|
34 |
{
|
35 |
"epoch": 0.13,
|
36 |
-
"learning_rate":
|
37 |
-
"loss": 0.
|
38 |
"step": 15
|
39 |
},
|
40 |
{
|
41 |
"epoch": 0.16,
|
42 |
-
"learning_rate":
|
43 |
-
"loss": 0.
|
44 |
"step": 18
|
45 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
46 |
{
|
47 |
"epoch": 0.18,
|
48 |
-
"learning_rate":
|
49 |
-
"loss": 0.
|
50 |
"step": 21
|
51 |
},
|
52 |
{
|
53 |
"epoch": 0.21,
|
54 |
-
"learning_rate":
|
55 |
-
"loss": 0.
|
56 |
"step": 24
|
57 |
},
|
58 |
{
|
59 |
"epoch": 0.23,
|
60 |
-
"learning_rate":
|
61 |
-
"loss": 0.
|
62 |
"step": 27
|
63 |
},
|
64 |
{
|
65 |
"epoch": 0.26,
|
66 |
-
"learning_rate":
|
67 |
-
"loss": 0.
|
68 |
"step": 30
|
69 |
},
|
70 |
{
|
71 |
"epoch": 0.29,
|
72 |
-
"learning_rate":
|
73 |
-
"loss": 0.
|
74 |
"step": 33
|
75 |
},
|
76 |
{
|
77 |
"epoch": 0.31,
|
78 |
-
"learning_rate":
|
79 |
-
"loss": 0.
|
80 |
"step": 36
|
81 |
},
|
82 |
{
|
83 |
"epoch": 0.34,
|
84 |
-
"learning_rate":
|
85 |
-
"loss": 0.
|
86 |
"step": 39
|
87 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
88 |
{
|
89 |
"epoch": 0.37,
|
90 |
-
"learning_rate":
|
91 |
-
"loss": 0.
|
92 |
"step": 42
|
93 |
},
|
94 |
{
|
95 |
"epoch": 0.39,
|
96 |
-
"learning_rate":
|
97 |
-
"loss": 0.
|
98 |
"step": 45
|
99 |
},
|
100 |
{
|
101 |
"epoch": 0.42,
|
102 |
-
"learning_rate":
|
103 |
-
"loss": 0.
|
104 |
"step": 48
|
105 |
},
|
106 |
{
|
107 |
"epoch": 0.44,
|
108 |
-
"learning_rate":
|
109 |
-
"loss": 0.
|
110 |
"step": 51
|
111 |
},
|
112 |
{
|
113 |
"epoch": 0.47,
|
114 |
-
"learning_rate":
|
115 |
-
"loss": 0.
|
116 |
"step": 54
|
117 |
},
|
118 |
{
|
119 |
"epoch": 0.5,
|
120 |
-
"learning_rate":
|
121 |
-
"loss": 0.
|
122 |
"step": 57
|
123 |
},
|
124 |
{
|
125 |
"epoch": 0.52,
|
126 |
-
"learning_rate":
|
127 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
128 |
"step": 60
|
129 |
},
|
130 |
{
|
131 |
"epoch": 0.55,
|
132 |
-
"learning_rate":
|
133 |
-
"loss": 0.
|
134 |
"step": 63
|
135 |
},
|
136 |
{
|
137 |
"epoch": 0.57,
|
138 |
-
"learning_rate":
|
139 |
-
"loss": 0.
|
140 |
"step": 66
|
141 |
},
|
142 |
{
|
143 |
"epoch": 0.6,
|
144 |
-
"learning_rate":
|
145 |
-
"loss": 0.
|
146 |
"step": 69
|
147 |
},
|
148 |
{
|
149 |
"epoch": 0.63,
|
150 |
-
"learning_rate":
|
151 |
-
"loss": 0.
|
152 |
"step": 72
|
153 |
},
|
154 |
{
|
155 |
"epoch": 0.65,
|
156 |
-
"learning_rate":
|
157 |
-
"loss": 0.
|
158 |
"step": 75
|
159 |
},
|
160 |
{
|
161 |
"epoch": 0.68,
|
162 |
-
"learning_rate":
|
163 |
-
"loss": 0.
|
164 |
"step": 78
|
165 |
},
|
166 |
{
|
167 |
"epoch": 0.7,
|
168 |
-
"
|
169 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
170 |
"step": 81
|
171 |
},
|
172 |
{
|
173 |
"epoch": 0.73,
|
174 |
-
"learning_rate":
|
175 |
-
"loss": 0.
|
176 |
"step": 84
|
177 |
},
|
178 |
{
|
179 |
"epoch": 0.76,
|
180 |
-
"learning_rate":
|
181 |
-
"loss": 0.
|
182 |
"step": 87
|
183 |
},
|
184 |
{
|
185 |
"epoch": 0.78,
|
186 |
-
"learning_rate":
|
187 |
-
"loss": 0.
|
188 |
"step": 90
|
189 |
},
|
190 |
{
|
191 |
"epoch": 0.81,
|
192 |
-
"learning_rate":
|
193 |
-
"loss": 0.
|
194 |
"step": 93
|
195 |
},
|
196 |
{
|
197 |
"epoch": 0.83,
|
198 |
-
"learning_rate":
|
199 |
-
"loss": 0.
|
200 |
"step": 96
|
201 |
},
|
202 |
{
|
203 |
"epoch": 0.86,
|
204 |
-
"learning_rate":
|
205 |
-
"loss": 0.
|
206 |
"step": 99
|
207 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
208 |
{
|
209 |
"epoch": 0.89,
|
210 |
-
"learning_rate":
|
211 |
-
"loss": 0.
|
212 |
"step": 102
|
213 |
},
|
214 |
{
|
215 |
"epoch": 0.91,
|
216 |
-
"learning_rate":
|
217 |
-
"loss": 0.
|
218 |
"step": 105
|
219 |
},
|
220 |
{
|
221 |
"epoch": 0.94,
|
222 |
-
"learning_rate":
|
223 |
-
"loss": 0.
|
224 |
"step": 108
|
225 |
},
|
226 |
{
|
227 |
"epoch": 0.96,
|
228 |
-
"learning_rate":
|
229 |
-
"loss": 0.
|
230 |
"step": 111
|
231 |
},
|
232 |
{
|
233 |
"epoch": 0.99,
|
234 |
-
"learning_rate":
|
235 |
-
"loss": 0.
|
236 |
"step": 114
|
237 |
},
|
238 |
{
|
239 |
"epoch": 1.0,
|
240 |
-
"
|
241 |
-
"
|
242 |
-
"
|
243 |
-
"
|
244 |
-
"
|
245 |
-
"
|
246 |
-
"eval_runtime": 1692.8237,
|
247 |
-
"eval_samples_per_second": 0.591,
|
248 |
-
"eval_steps_per_second": 0.148,
|
249 |
-
"step": 115
|
250 |
-
},
|
251 |
-
{
|
252 |
-
"epoch": 1.02,
|
253 |
-
"learning_rate": 0.00030209437808938845,
|
254 |
-
"loss": 0.1607,
|
255 |
-
"step": 117
|
256 |
-
},
|
257 |
-
{
|
258 |
-
"epoch": 1.04,
|
259 |
-
"learning_rate": 0.0002895301509892498,
|
260 |
-
"loss": 0.1423,
|
261 |
-
"step": 120
|
262 |
-
},
|
263 |
-
{
|
264 |
-
"epoch": 1.07,
|
265 |
-
"learning_rate": 0.0002769842915619544,
|
266 |
-
"loss": 0.1361,
|
267 |
-
"step": 123
|
268 |
-
},
|
269 |
-
{
|
270 |
-
"epoch": 1.1,
|
271 |
-
"learning_rate": 0.0002644788095080497,
|
272 |
-
"loss": 0.1438,
|
273 |
-
"step": 126
|
274 |
-
},
|
275 |
-
{
|
276 |
-
"epoch": 1.12,
|
277 |
-
"learning_rate": 0.00025203564369244956,
|
278 |
-
"loss": 0.1367,
|
279 |
-
"step": 129
|
280 |
-
},
|
281 |
-
{
|
282 |
-
"epoch": 1.15,
|
283 |
-
"learning_rate": 0.00023967662365621063,
|
284 |
-
"loss": 0.1333,
|
285 |
-
"step": 132
|
286 |
-
},
|
287 |
-
{
|
288 |
-
"epoch": 1.17,
|
289 |
-
"learning_rate": 0.0002274234313200997,
|
290 |
-
"loss": 0.1325,
|
291 |
-
"step": 135
|
292 |
-
},
|
293 |
-
{
|
294 |
-
"epoch": 1.2,
|
295 |
-
"learning_rate": 0.000215297562947137,
|
296 |
-
"loss": 0.1367,
|
297 |
-
"step": 138
|
298 |
-
},
|
299 |
-
{
|
300 |
-
"epoch": 1.23,
|
301 |
-
"learning_rate": 0.00020332029143084668,
|
302 |
-
"loss": 0.1309,
|
303 |
-
"step": 141
|
304 |
-
},
|
305 |
-
{
|
306 |
-
"epoch": 1.25,
|
307 |
-
"learning_rate": 0.00019151262897537235,
|
308 |
-
"loss": 0.1356,
|
309 |
-
"step": 144
|
310 |
-
},
|
311 |
-
{
|
312 |
-
"epoch": 1.28,
|
313 |
-
"learning_rate": 0.00017989529023293153,
|
314 |
-
"loss": 0.128,
|
315 |
-
"step": 147
|
316 |
-
},
|
317 |
-
{
|
318 |
-
"epoch": 1.3,
|
319 |
-
"learning_rate": 0.00016848865596327673,
|
320 |
-
"loss": 0.1215,
|
321 |
-
"step": 150
|
322 |
-
},
|
323 |
-
{
|
324 |
-
"epoch": 1.33,
|
325 |
-
"learning_rate": 0.0001573127372789174,
|
326 |
-
"loss": 0.1244,
|
327 |
-
"step": 153
|
328 |
-
},
|
329 |
-
{
|
330 |
-
"epoch": 1.36,
|
331 |
-
"learning_rate": 0.00014638714053882856,
|
332 |
-
"loss": 0.1265,
|
333 |
-
"step": 156
|
334 |
-
},
|
335 |
-
{
|
336 |
-
"epoch": 1.38,
|
337 |
-
"learning_rate": 0.00013573103295223495,
|
338 |
-
"loss": 0.117,
|
339 |
-
"step": 159
|
340 |
-
},
|
341 |
-
{
|
342 |
-
"epoch": 1.41,
|
343 |
-
"learning_rate": 0.0001253631089528132,
|
344 |
-
"loss": 0.1216,
|
345 |
-
"step": 162
|
346 |
-
},
|
347 |
-
{
|
348 |
-
"epoch": 1.43,
|
349 |
-
"learning_rate": 0.0001153015574023025,
|
350 |
-
"loss": 0.1157,
|
351 |
-
"step": 165
|
352 |
-
},
|
353 |
-
{
|
354 |
-
"epoch": 1.46,
|
355 |
-
"learning_rate": 0.00010556402968106073,
|
356 |
-
"loss": 0.1197,
|
357 |
-
"step": 168
|
358 |
-
},
|
359 |
-
{
|
360 |
-
"epoch": 1.49,
|
361 |
-
"learning_rate": 9.616760872154511e-05,
|
362 |
-
"loss": 0.1227,
|
363 |
-
"step": 171
|
364 |
-
},
|
365 |
-
{
|
366 |
-
"epoch": 1.51,
|
367 |
-
"learning_rate": 8.712877903904379e-05,
|
368 |
-
"loss": 0.1156,
|
369 |
-
"step": 174
|
370 |
-
},
|
371 |
-
{
|
372 |
-
"epoch": 1.54,
|
373 |
-
"learning_rate": 7.846339781223482e-05,
|
374 |
-
"loss": 0.1198,
|
375 |
-
"step": 177
|
376 |
-
},
|
377 |
-
{
|
378 |
-
"epoch": 1.57,
|
379 |
-
"learning_rate": 7.018666706430662e-05,
|
380 |
-
"loss": 0.1192,
|
381 |
-
"step": 180
|
382 |
-
},
|
383 |
-
{
|
384 |
-
"epoch": 1.59,
|
385 |
-
"learning_rate": 6.231310699344282e-05,
|
386 |
-
"loss": 0.116,
|
387 |
-
"step": 183
|
388 |
-
},
|
389 |
-
{
|
390 |
-
"epoch": 1.62,
|
391 |
-
"learning_rate": 5.485653049946145e-05,
|
392 |
-
"loss": 0.119,
|
393 |
-
"step": 186
|
394 |
-
},
|
395 |
-
{
|
396 |
-
"epoch": 1.64,
|
397 |
-
"learning_rate": 4.7830018951294724e-05,
|
398 |
-
"loss": 0.1135,
|
399 |
-
"step": 189
|
400 |
-
},
|
401 |
-
{
|
402 |
-
"epoch": 1.67,
|
403 |
-
"learning_rate": 4.124589923782276e-05,
|
404 |
-
"loss": 0.1169,
|
405 |
-
"step": 192
|
406 |
-
},
|
407 |
-
{
|
408 |
-
"epoch": 1.7,
|
409 |
-
"learning_rate": 3.51157221423219e-05,
|
410 |
-
"loss": 0.115,
|
411 |
-
"step": 195
|
412 |
-
},
|
413 |
-
{
|
414 |
-
"epoch": 1.72,
|
415 |
-
"learning_rate": 2.945024207846589e-05,
|
416 |
-
"loss": 0.1156,
|
417 |
-
"step": 198
|
418 |
-
},
|
419 |
-
{
|
420 |
-
"epoch": 1.75,
|
421 |
-
"learning_rate": 2.425939822342968e-05,
|
422 |
-
"loss": 0.1157,
|
423 |
-
"step": 201
|
424 |
-
},
|
425 |
-
{
|
426 |
-
"epoch": 1.77,
|
427 |
-
"learning_rate": 1.9552297081195668e-05,
|
428 |
-
"loss": 0.1136,
|
429 |
-
"step": 204
|
430 |
-
},
|
431 |
-
{
|
432 |
-
"epoch": 1.8,
|
433 |
-
"learning_rate": 1.5337196506651038e-05,
|
434 |
-
"loss": 0.111,
|
435 |
-
"step": 207
|
436 |
-
},
|
437 |
-
{
|
438 |
-
"epoch": 1.83,
|
439 |
-
"learning_rate": 1.162149121850433e-05,
|
440 |
-
"loss": 0.113,
|
441 |
-
"step": 210
|
442 |
-
},
|
443 |
-
{
|
444 |
-
"epoch": 1.85,
|
445 |
-
"learning_rate": 8.411699826436147e-06,
|
446 |
-
"loss": 0.1098,
|
447 |
-
"step": 213
|
448 |
-
},
|
449 |
-
{
|
450 |
-
"epoch": 1.88,
|
451 |
-
"learning_rate": 5.7134533952425395e-06,
|
452 |
-
"loss": 0.1111,
|
453 |
-
"step": 216
|
454 |
-
},
|
455 |
-
{
|
456 |
-
"epoch": 1.9,
|
457 |
-
"learning_rate": 3.5314855660341646e-06,
|
458 |
-
"loss": 0.1098,
|
459 |
-
"step": 219
|
460 |
-
},
|
461 |
-
{
|
462 |
-
"epoch": 1.93,
|
463 |
-
"learning_rate": 1.869624251821089e-06,
|
464 |
-
"loss": 0.1111,
|
465 |
-
"step": 222
|
466 |
-
},
|
467 |
-
{
|
468 |
-
"epoch": 1.96,
|
469 |
-
"learning_rate": 7.307849220527406e-07,
|
470 |
-
"loss": 0.1121,
|
471 |
-
"step": 225
|
472 |
-
},
|
473 |
-
{
|
474 |
-
"epoch": 1.98,
|
475 |
-
"learning_rate": 1.1696548789369431e-07,
|
476 |
-
"loss": 0.1098,
|
477 |
-
"step": 228
|
478 |
-
},
|
479 |
-
{
|
480 |
-
"epoch": 2.0,
|
481 |
-
"eval_gen_len": 122.364,
|
482 |
-
"eval_loss": 2.1311135292053223,
|
483 |
-
"eval_rouge1": 58.1114,
|
484 |
-
"eval_rouge2": 29.339,
|
485 |
-
"eval_rougeL": 44.7611,
|
486 |
-
"eval_rougeLsum": 54.2823,
|
487 |
-
"eval_runtime": 1701.9255,
|
488 |
-
"eval_samples_per_second": 0.588,
|
489 |
-
"eval_steps_per_second": 0.147,
|
490 |
-
"step": 230
|
491 |
-
},
|
492 |
-
{
|
493 |
-
"epoch": 2.0,
|
494 |
-
"step": 230,
|
495 |
-
"total_flos": 2.7141869303916134e+17,
|
496 |
-
"train_loss": 0.16691997828690902,
|
497 |
-
"train_runtime": 19759.1358,
|
498 |
-
"train_samples_per_second": 2.98,
|
499 |
-
"train_steps_per_second": 0.012
|
500 |
}
|
501 |
],
|
502 |
-
"max_steps":
|
503 |
-
"num_train_epochs":
|
504 |
-
"total_flos":
|
505 |
"trial_name": null,
|
506 |
"trial_params": null
|
507 |
}
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.9997283346916599,
|
5 |
+
"global_step": 115,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
"epoch": 0.03,
|
12 |
+
"learning_rate": 0.0001,
|
13 |
+
"loss": 0.1341,
|
14 |
"step": 3
|
15 |
},
|
16 |
{
|
17 |
"epoch": 0.05,
|
18 |
+
"learning_rate": 9.982307470588098e-05,
|
19 |
+
"loss": 0.1267,
|
20 |
"step": 6
|
21 |
},
|
22 |
{
|
23 |
"epoch": 0.08,
|
24 |
+
"learning_rate": 9.92935509259118e-05,
|
25 |
+
"loss": 0.1213,
|
26 |
"step": 9
|
27 |
},
|
28 |
{
|
29 |
"epoch": 0.1,
|
30 |
+
"learning_rate": 9.841517610611309e-05,
|
31 |
+
"loss": 0.1211,
|
32 |
"step": 12
|
33 |
},
|
34 |
{
|
35 |
"epoch": 0.13,
|
36 |
+
"learning_rate": 9.719416651541839e-05,
|
37 |
+
"loss": 0.1172,
|
38 |
"step": 15
|
39 |
},
|
40 |
{
|
41 |
"epoch": 0.16,
|
42 |
+
"learning_rate": 9.563916325306594e-05,
|
43 |
+
"loss": 0.1195,
|
44 |
"step": 18
|
45 |
},
|
46 |
+
{
|
47 |
+
"epoch": 0.17,
|
48 |
+
"eval_gen_len": 121.8,
|
49 |
+
"eval_loss": 2.063453435897827,
|
50 |
+
"eval_rouge1": 57.8829,
|
51 |
+
"eval_rouge2": 28.7887,
|
52 |
+
"eval_rougeL": 44.4256,
|
53 |
+
"eval_rougeLsum": 54.1299,
|
54 |
+
"eval_runtime": 3417.7231,
|
55 |
+
"eval_samples_per_second": 0.293,
|
56 |
+
"eval_steps_per_second": 0.073,
|
57 |
+
"step": 20
|
58 |
+
},
|
59 |
{
|
60 |
"epoch": 0.18,
|
61 |
+
"learning_rate": 9.376117109543769e-05,
|
62 |
+
"loss": 0.1129,
|
63 |
"step": 21
|
64 |
},
|
65 |
{
|
66 |
"epoch": 0.21,
|
67 |
+
"learning_rate": 9.157348061512727e-05,
|
68 |
+
"loss": 0.1161,
|
69 |
"step": 24
|
70 |
},
|
71 |
{
|
72 |
"epoch": 0.23,
|
73 |
+
"learning_rate": 8.90915741234015e-05,
|
74 |
+
"loss": 0.1184,
|
75 |
"step": 27
|
76 |
},
|
77 |
{
|
78 |
"epoch": 0.26,
|
79 |
+
"learning_rate": 8.633301610170135e-05,
|
80 |
+
"loss": 0.1038,
|
81 |
"step": 30
|
82 |
},
|
83 |
{
|
84 |
"epoch": 0.29,
|
85 |
+
"learning_rate": 8.33173288976002e-05,
|
86 |
+
"loss": 0.1064,
|
87 |
"step": 33
|
88 |
},
|
89 |
{
|
90 |
"epoch": 0.31,
|
91 |
+
"learning_rate": 8.006585456492029e-05,
|
92 |
+
"loss": 0.1107,
|
93 |
"step": 36
|
94 |
},
|
95 |
{
|
96 |
"epoch": 0.34,
|
97 |
+
"learning_rate": 7.660160382576683e-05,
|
98 |
+
"loss": 0.1084,
|
99 |
"step": 39
|
100 |
},
|
101 |
+
{
|
102 |
+
"epoch": 0.35,
|
103 |
+
"eval_gen_len": 122.893,
|
104 |
+
"eval_loss": 2.117846965789795,
|
105 |
+
"eval_rouge1": 58.0416,
|
106 |
+
"eval_rouge2": 28.6487,
|
107 |
+
"eval_rougeL": 44.3905,
|
108 |
+
"eval_rougeLsum": 54.1557,
|
109 |
+
"eval_runtime": 3584.8893,
|
110 |
+
"eval_samples_per_second": 0.279,
|
111 |
+
"eval_steps_per_second": 0.07,
|
112 |
+
"step": 40
|
113 |
+
},
|
114 |
{
|
115 |
"epoch": 0.37,
|
116 |
+
"learning_rate": 7.294909322337689e-05,
|
117 |
+
"loss": 0.1026,
|
118 |
"step": 42
|
119 |
},
|
120 |
{
|
121 |
"epoch": 0.39,
|
122 |
+
"learning_rate": 6.91341716182545e-05,
|
123 |
+
"loss": 0.1059,
|
124 |
"step": 45
|
125 |
},
|
126 |
{
|
127 |
"epoch": 0.42,
|
128 |
+
"learning_rate": 6.518383725548074e-05,
|
129 |
+
"loss": 0.1078,
|
130 |
"step": 48
|
131 |
},
|
132 |
{
|
133 |
"epoch": 0.44,
|
134 |
+
"learning_rate": 6.112604669781572e-05,
|
135 |
+
"loss": 0.1053,
|
136 |
"step": 51
|
137 |
},
|
138 |
{
|
139 |
"epoch": 0.47,
|
140 |
+
"learning_rate": 5.698951697677498e-05,
|
141 |
+
"loss": 0.1027,
|
142 |
"step": 54
|
143 |
},
|
144 |
{
|
145 |
"epoch": 0.5,
|
146 |
+
"learning_rate": 5.2803522361859594e-05,
|
147 |
+
"loss": 0.0993,
|
148 |
"step": 57
|
149 |
},
|
150 |
{
|
151 |
"epoch": 0.52,
|
152 |
+
"learning_rate": 4.859768718620656e-05,
|
153 |
+
"loss": 0.1019,
|
154 |
+
"step": 60
|
155 |
+
},
|
156 |
+
{
|
157 |
+
"epoch": 0.52,
|
158 |
+
"eval_gen_len": 120.524,
|
159 |
+
"eval_loss": 2.157585382461548,
|
160 |
+
"eval_rouge1": 57.816,
|
161 |
+
"eval_rouge2": 28.7069,
|
162 |
+
"eval_rougeL": 44.4242,
|
163 |
+
"eval_rougeLsum": 53.9598,
|
164 |
+
"eval_runtime": 3448.4317,
|
165 |
+
"eval_samples_per_second": 0.29,
|
166 |
+
"eval_steps_per_second": 0.072,
|
167 |
"step": 60
|
168 |
},
|
169 |
{
|
170 |
"epoch": 0.55,
|
171 |
+
"learning_rate": 4.4401776194834613e-05,
|
172 |
+
"loss": 0.0959,
|
173 |
"step": 63
|
174 |
},
|
175 |
{
|
176 |
"epoch": 0.57,
|
177 |
+
"learning_rate": 4.0245483899193595e-05,
|
178 |
+
"loss": 0.1051,
|
179 |
"step": 66
|
180 |
},
|
181 |
{
|
182 |
"epoch": 0.6,
|
183 |
+
"learning_rate": 3.6158224428757535e-05,
|
184 |
+
"loss": 0.0953,
|
185 |
"step": 69
|
186 |
},
|
187 |
{
|
188 |
"epoch": 0.63,
|
189 |
+
"learning_rate": 3.216892336688435e-05,
|
190 |
+
"loss": 0.0952,
|
191 |
"step": 72
|
192 |
},
|
193 |
{
|
194 |
"epoch": 0.65,
|
195 |
+
"learning_rate": 2.8305813044122097e-05,
|
196 |
+
"loss": 0.0957,
|
197 |
"step": 75
|
198 |
},
|
199 |
{
|
200 |
"epoch": 0.68,
|
201 |
+
"learning_rate": 2.459623273767354e-05,
|
202 |
+
"loss": 0.0975,
|
203 |
"step": 78
|
204 |
},
|
205 |
{
|
206 |
"epoch": 0.7,
|
207 |
+
"eval_gen_len": 121.793,
|
208 |
+
"eval_loss": 2.182112693786621,
|
209 |
+
"eval_rouge1": 57.9597,
|
210 |
+
"eval_rouge2": 28.8178,
|
211 |
+
"eval_rougeL": 44.4854,
|
212 |
+
"eval_rougeLsum": 54.068,
|
213 |
+
"eval_runtime": 3498.8291,
|
214 |
+
"eval_samples_per_second": 0.286,
|
215 |
+
"eval_steps_per_second": 0.071,
|
216 |
+
"step": 80
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"epoch": 0.7,
|
220 |
+
"learning_rate": 2.1066435191009715e-05,
|
221 |
+
"loss": 0.0943,
|
222 |
"step": 81
|
223 |
},
|
224 |
{
|
225 |
"epoch": 0.73,
|
226 |
+
"learning_rate": 1.774140082289563e-05,
|
227 |
+
"loss": 0.0988,
|
228 |
"step": 84
|
229 |
},
|
230 |
{
|
231 |
"epoch": 0.76,
|
232 |
+
"learning_rate": 1.4644660940672627e-05,
|
233 |
+
"loss": 0.0954,
|
234 |
"step": 87
|
235 |
},
|
236 |
{
|
237 |
"epoch": 0.78,
|
238 |
+
"learning_rate": 1.1798131208919627e-05,
|
239 |
+
"loss": 0.0977,
|
240 |
"step": 90
|
241 |
},
|
242 |
{
|
243 |
"epoch": 0.81,
|
244 |
+
"learning_rate": 9.221956552036992e-06,
|
245 |
+
"loss": 0.0954,
|
246 |
"step": 93
|
247 |
},
|
248 |
{
|
249 |
"epoch": 0.83,
|
250 |
+
"learning_rate": 6.934368588379553e-06,
|
251 |
+
"loss": 0.0942,
|
252 |
"step": 96
|
253 |
},
|
254 |
{
|
255 |
"epoch": 0.86,
|
256 |
+
"learning_rate": 4.951556604879048e-06,
|
257 |
+
"loss": 0.0947,
|
258 |
"step": 99
|
259 |
},
|
260 |
+
{
|
261 |
+
"epoch": 0.87,
|
262 |
+
"eval_gen_len": 122.77,
|
263 |
+
"eval_loss": 2.1846070289611816,
|
264 |
+
"eval_rouge1": 57.9637,
|
265 |
+
"eval_rouge2": 28.7446,
|
266 |
+
"eval_rougeL": 44.3826,
|
267 |
+
"eval_rougeLsum": 54.0399,
|
268 |
+
"eval_runtime": 3495.1079,
|
269 |
+
"eval_samples_per_second": 0.286,
|
270 |
+
"eval_steps_per_second": 0.072,
|
271 |
+
"step": 100
|
272 |
+
},
|
273 |
{
|
274 |
"epoch": 0.89,
|
275 |
+
"learning_rate": 3.2875529852700147e-06,
|
276 |
+
"loss": 0.0952,
|
277 |
"step": 102
|
278 |
},
|
279 |
{
|
280 |
"epoch": 0.91,
|
281 |
+
"learning_rate": 1.9541339027450256e-06,
|
282 |
+
"loss": 0.1001,
|
283 |
"step": 105
|
284 |
},
|
285 |
{
|
286 |
"epoch": 0.94,
|
287 |
+
"learning_rate": 9.607359798384785e-07,
|
288 |
+
"loss": 0.0953,
|
289 |
"step": 108
|
290 |
},
|
291 |
{
|
292 |
"epoch": 0.96,
|
293 |
+
"learning_rate": 3.143895053378698e-07,
|
294 |
+
"loss": 0.0963,
|
295 |
"step": 111
|
296 |
},
|
297 |
{
|
298 |
"epoch": 0.99,
|
299 |
+
"learning_rate": 1.9668680847356735e-08,
|
300 |
+
"loss": 0.0924,
|
301 |
"step": 114
|
302 |
},
|
303 |
{
|
304 |
"epoch": 1.0,
|
305 |
+
"step": 115,
|
306 |
+
"total_flos": 1.3570473694593024e+17,
|
307 |
+
"train_loss": 0.10453087175669877,
|
308 |
+
"train_runtime": 27358.0249,
|
309 |
+
"train_samples_per_second": 1.076,
|
310 |
+
"train_steps_per_second": 0.004
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
311 |
}
|
312 |
],
|
313 |
+
"max_steps": 115,
|
314 |
+
"num_train_epochs": 1,
|
315 |
+
"total_flos": 1.3570473694593024e+17,
|
316 |
"trial_name": null,
|
317 |
"trial_params": null
|
318 |
}
|
training_args.bin
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 sha256:874b9ef1a9fa7307bd62b5629cff23971f0e3f551dc50b0975c5d755424c33f1
|
3 |
+
size 3707
|