MHGanainy/gpt2-xl-lora-ecthr-random-balanced-cluster-8-id-6
Browse files- README.md +2 -0
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +406 -0
README.md
CHANGED
@@ -15,6 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
# gpt2-xl-lora-ecthr-random-balanced-cluster-8-id-6
|
16 |
|
17 |
This model is a fine-tuned version of [openai-community/gpt2-xl](https://huggingface.co/openai-community/gpt2-xl) on an unknown dataset.
|
|
|
|
|
18 |
|
19 |
## Model description
|
20 |
|
|
|
15 |
# gpt2-xl-lora-ecthr-random-balanced-cluster-8-id-6
|
16 |
|
17 |
This model is a fine-tuned version of [openai-community/gpt2-xl](https://huggingface.co/openai-community/gpt2-xl) on an unknown dataset.
|
18 |
+
It achieves the following results on the evaluation set:
|
19 |
+
- Loss: 2.0081
|
20 |
|
21 |
## Model description
|
22 |
|
all_results.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"eval_loss": 2.008072853088379,
|
4 |
+
"eval_runtime": 29.0587,
|
5 |
+
"eval_samples_per_second": 40.47,
|
6 |
+
"eval_steps_per_second": 5.059,
|
7 |
+
"perplexity": 7.448948288433685,
|
8 |
+
"total_flos": 9.597350805504e+16,
|
9 |
+
"train_loss": 2.090950048406474,
|
10 |
+
"train_runtime": 846.2233,
|
11 |
+
"train_samples_per_second": 12.453,
|
12 |
+
"train_steps_per_second": 6.226
|
13 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"eval_loss": 2.008072853088379,
|
4 |
+
"eval_runtime": 29.0587,
|
5 |
+
"eval_samples_per_second": 40.47,
|
6 |
+
"eval_steps_per_second": 5.059,
|
7 |
+
"perplexity": 7.448948288433685
|
8 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"total_flos": 9.597350805504e+16,
|
4 |
+
"train_loss": 2.090950048406474,
|
5 |
+
"train_runtime": 846.2233,
|
6 |
+
"train_samples_per_second": 12.453,
|
7 |
+
"train_steps_per_second": 6.226
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,406 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 5269,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.01897893338394382,
|
13 |
+
"grad_norm": 0.16455961763858795,
|
14 |
+
"learning_rate": 2.0000000000000003e-06,
|
15 |
+
"loss": 2.4473,
|
16 |
+
"step": 100
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.03795786676788764,
|
20 |
+
"grad_norm": 0.15589718520641327,
|
21 |
+
"learning_rate": 4.000000000000001e-06,
|
22 |
+
"loss": 2.3958,
|
23 |
+
"step": 200
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.05693680015183147,
|
27 |
+
"grad_norm": 0.22491300106048584,
|
28 |
+
"learning_rate": 6e-06,
|
29 |
+
"loss": 2.4127,
|
30 |
+
"step": 300
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.07591573353577528,
|
34 |
+
"grad_norm": 0.27128249406814575,
|
35 |
+
"learning_rate": 8.000000000000001e-06,
|
36 |
+
"loss": 2.3425,
|
37 |
+
"step": 400
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.09489466691971911,
|
41 |
+
"grad_norm": 0.3409845232963562,
|
42 |
+
"learning_rate": 1e-05,
|
43 |
+
"loss": 2.3406,
|
44 |
+
"step": 500
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.11387360030366293,
|
48 |
+
"grad_norm": 0.4303252696990967,
|
49 |
+
"learning_rate": 1.2e-05,
|
50 |
+
"loss": 2.2827,
|
51 |
+
"step": 600
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.13285253368760674,
|
55 |
+
"grad_norm": 0.4239923655986786,
|
56 |
+
"learning_rate": 1.4e-05,
|
57 |
+
"loss": 2.2578,
|
58 |
+
"step": 700
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.15183146707155057,
|
62 |
+
"grad_norm": 0.5540084838867188,
|
63 |
+
"learning_rate": 1.6000000000000003e-05,
|
64 |
+
"loss": 2.2406,
|
65 |
+
"step": 800
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.1708104004554944,
|
69 |
+
"grad_norm": 0.5286028981208801,
|
70 |
+
"learning_rate": 1.8e-05,
|
71 |
+
"loss": 2.2016,
|
72 |
+
"step": 900
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.18978933383943822,
|
76 |
+
"grad_norm": 0.6286925673484802,
|
77 |
+
"learning_rate": 2e-05,
|
78 |
+
"loss": 2.1954,
|
79 |
+
"step": 1000
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.20876826722338204,
|
83 |
+
"grad_norm": 0.6797956824302673,
|
84 |
+
"learning_rate": 1.9972934164759383e-05,
|
85 |
+
"loss": 2.1821,
|
86 |
+
"step": 1100
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.22774720060732587,
|
90 |
+
"grad_norm": 0.6893311142921448,
|
91 |
+
"learning_rate": 1.9891883170924986e-05,
|
92 |
+
"loss": 2.1191,
|
93 |
+
"step": 1200
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.2467261339912697,
|
97 |
+
"grad_norm": 0.7030719518661499,
|
98 |
+
"learning_rate": 1.9757285761065846e-05,
|
99 |
+
"loss": 2.1244,
|
100 |
+
"step": 1300
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.2657050673752135,
|
104 |
+
"grad_norm": 0.9822287559509277,
|
105 |
+
"learning_rate": 1.9569870533445783e-05,
|
106 |
+
"loss": 2.1247,
|
107 |
+
"step": 1400
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.28468400075915734,
|
111 |
+
"grad_norm": 0.7738551497459412,
|
112 |
+
"learning_rate": 1.933065199799926e-05,
|
113 |
+
"loss": 2.1051,
|
114 |
+
"step": 1500
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.30366293414310114,
|
118 |
+
"grad_norm": 0.7393893003463745,
|
119 |
+
"learning_rate": 1.9040925084619663e-05,
|
120 |
+
"loss": 2.1113,
|
121 |
+
"step": 1600
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.322641867527045,
|
125 |
+
"grad_norm": 0.9361407160758972,
|
126 |
+
"learning_rate": 1.8702258133487446e-05,
|
127 |
+
"loss": 2.0613,
|
128 |
+
"step": 1700
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.3416208009109888,
|
132 |
+
"grad_norm": 0.9538021087646484,
|
133 |
+
"learning_rate": 1.831648440538277e-05,
|
134 |
+
"loss": 2.0347,
|
135 |
+
"step": 1800
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.36059973429493264,
|
139 |
+
"grad_norm": 0.8312991261482239,
|
140 |
+
"learning_rate": 1.7885692157938646e-05,
|
141 |
+
"loss": 2.0875,
|
142 |
+
"step": 1900
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.37957866767887644,
|
146 |
+
"grad_norm": 0.9724030494689941,
|
147 |
+
"learning_rate": 1.7412213341553518e-05,
|
148 |
+
"loss": 2.0666,
|
149 |
+
"step": 2000
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.3985576010628203,
|
153 |
+
"grad_norm": 0.9147292375564575,
|
154 |
+
"learning_rate": 1.689861097615423e-05,
|
155 |
+
"loss": 2.0367,
|
156 |
+
"step": 2100
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.4175365344467641,
|
160 |
+
"grad_norm": 1.1803175210952759,
|
161 |
+
"learning_rate": 1.6347665277141005e-05,
|
162 |
+
"loss": 2.0376,
|
163 |
+
"step": 2200
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.43651546783070794,
|
167 |
+
"grad_norm": 0.9863779544830322,
|
168 |
+
"learning_rate": 1.576235860561704e-05,
|
169 |
+
"loss": 2.0362,
|
170 |
+
"step": 2300
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.45549440121465173,
|
174 |
+
"grad_norm": 1.0676170587539673,
|
175 |
+
"learning_rate": 1.5145859324369678e-05,
|
176 |
+
"loss": 2.0744,
|
177 |
+
"step": 2400
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.4744733345985956,
|
181 |
+
"grad_norm": 1.0011714696884155,
|
182 |
+
"learning_rate": 1.4501504646993358e-05,
|
183 |
+
"loss": 2.0567,
|
184 |
+
"step": 2500
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.4934522679825394,
|
188 |
+
"grad_norm": 1.0237438678741455,
|
189 |
+
"learning_rate": 1.3832782572994961e-05,
|
190 |
+
"loss": 2.0407,
|
191 |
+
"step": 2600
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.5124312013664832,
|
195 |
+
"grad_norm": 1.2096575498580933,
|
196 |
+
"learning_rate": 1.3143313006669802e-05,
|
197 |
+
"loss": 2.0454,
|
198 |
+
"step": 2700
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.531410134750427,
|
202 |
+
"grad_norm": 0.854215681552887,
|
203 |
+
"learning_rate": 1.2436828161955004e-05,
|
204 |
+
"loss": 2.0554,
|
205 |
+
"step": 2800
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.5503890681343708,
|
209 |
+
"grad_norm": 0.9747099876403809,
|
210 |
+
"learning_rate": 1.171715235933197e-05,
|
211 |
+
"loss": 1.998,
|
212 |
+
"step": 2900
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.5693680015183147,
|
216 |
+
"grad_norm": 0.9982984066009521,
|
217 |
+
"learning_rate": 1.0988181324140792e-05,
|
218 |
+
"loss": 1.9904,
|
219 |
+
"step": 3000
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.5883469349022585,
|
223 |
+
"grad_norm": 0.7807527184486389,
|
224 |
+
"learning_rate": 1.0253861098368203e-05,
|
225 |
+
"loss": 2.0082,
|
226 |
+
"step": 3100
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.6073258682862023,
|
230 |
+
"grad_norm": 0.8988199234008789,
|
231 |
+
"learning_rate": 9.518166680063126e-06,
|
232 |
+
"loss": 1.9718,
|
233 |
+
"step": 3200
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.6263048016701461,
|
237 |
+
"grad_norm": 1.0487923622131348,
|
238 |
+
"learning_rate": 8.785080506008221e-06,
|
239 |
+
"loss": 2.0602,
|
240 |
+
"step": 3300
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.64528373505409,
|
244 |
+
"grad_norm": 0.796579122543335,
|
245 |
+
"learning_rate": 8.058570894124317e-06,
|
246 |
+
"loss": 2.0266,
|
247 |
+
"step": 3400
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.6642626684380338,
|
251 |
+
"grad_norm": 0.7757595181465149,
|
252 |
+
"learning_rate": 7.342570562302606e-06,
|
253 |
+
"loss": 2.0555,
|
254 |
+
"step": 3500
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.6832416018219776,
|
258 |
+
"grad_norm": 1.0452457666397095,
|
259 |
+
"learning_rate": 6.640955339945751e-06,
|
260 |
+
"loss": 2.0494,
|
261 |
+
"step": 3600
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.7022205352059214,
|
265 |
+
"grad_norm": 0.9034073352813721,
|
266 |
+
"learning_rate": 5.957523187455876e-06,
|
267 |
+
"loss": 2.007,
|
268 |
+
"step": 3700
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.7211994685898653,
|
272 |
+
"grad_norm": 1.0185625553131104,
|
273 |
+
"learning_rate": 5.29597363724047e-06,
|
274 |
+
"loss": 2.0148,
|
275 |
+
"step": 3800
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.740178401973809,
|
279 |
+
"grad_norm": 0.6561883687973022,
|
280 |
+
"learning_rate": 4.659887767525457e-06,
|
281 |
+
"loss": 1.991,
|
282 |
+
"step": 3900
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.7591573353577529,
|
286 |
+
"grad_norm": 1.013913631439209,
|
287 |
+
"learning_rate": 4.052708817380557e-06,
|
288 |
+
"loss": 1.9972,
|
289 |
+
"step": 4000
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.7781362687416967,
|
293 |
+
"grad_norm": 0.8857009410858154,
|
294 |
+
"learning_rate": 3.477723547891012e-06,
|
295 |
+
"loss": 1.9966,
|
296 |
+
"step": 4100
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.7971152021256406,
|
300 |
+
"grad_norm": 1.1049866676330566,
|
301 |
+
"learning_rate": 2.9380444503707715e-06,
|
302 |
+
"loss": 2.0037,
|
303 |
+
"step": 4200
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.8160941355095843,
|
307 |
+
"grad_norm": 1.0857770442962646,
|
308 |
+
"learning_rate": 2.4365928979271005e-06,
|
309 |
+
"loss": 1.9777,
|
310 |
+
"step": 4300
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.8350730688935282,
|
314 |
+
"grad_norm": 0.9005129933357239,
|
315 |
+
"learning_rate": 1.976083331579909e-06,
|
316 |
+
"loss": 2.0582,
|
317 |
+
"step": 4400
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.854052002277472,
|
321 |
+
"grad_norm": 1.1704425811767578,
|
322 |
+
"learning_rate": 1.559008566539103e-06,
|
323 |
+
"loss": 2.03,
|
324 |
+
"step": 4500
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.8730309356614159,
|
328 |
+
"grad_norm": 0.8802852630615234,
|
329 |
+
"learning_rate": 1.1876262981793984e-06,
|
330 |
+
"loss": 2.005,
|
331 |
+
"step": 4600
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.8920098690453596,
|
335 |
+
"grad_norm": 1.1852850914001465,
|
336 |
+
"learning_rate": 8.639468807581397e-07,
|
337 |
+
"loss": 2.0452,
|
338 |
+
"step": 4700
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.9109888024293035,
|
342 |
+
"grad_norm": 0.8399674892425537,
|
343 |
+
"learning_rate": 5.897224450318684e-07,
|
344 |
+
"loss": 2.0223,
|
345 |
+
"step": 4800
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.9299677358132473,
|
349 |
+
"grad_norm": 1.1396406888961792,
|
350 |
+
"learning_rate": 3.664374136798465e-07,
|
351 |
+
"loss": 1.9713,
|
352 |
+
"step": 4900
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.9489466691971912,
|
356 |
+
"grad_norm": 1.135856032371521,
|
357 |
+
"learning_rate": 1.9530046587612927e-07,
|
358 |
+
"loss": 1.9986,
|
359 |
+
"step": 5000
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.9679256025811349,
|
363 |
+
"grad_norm": 0.9097400307655334,
|
364 |
+
"learning_rate": 7.72379945072832e-08,
|
365 |
+
"loss": 2.0123,
|
366 |
+
"step": 5100
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.9869045359650788,
|
370 |
+
"grad_norm": 0.9359187483787537,
|
371 |
+
"learning_rate": 1.2889091452942259e-08,
|
372 |
+
"loss": 1.9949,
|
373 |
+
"step": 5200
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 1.0,
|
377 |
+
"step": 5269,
|
378 |
+
"total_flos": 9.597350805504e+16,
|
379 |
+
"train_loss": 2.090950048406474,
|
380 |
+
"train_runtime": 846.2233,
|
381 |
+
"train_samples_per_second": 12.453,
|
382 |
+
"train_steps_per_second": 6.226
|
383 |
+
}
|
384 |
+
],
|
385 |
+
"logging_steps": 100,
|
386 |
+
"max_steps": 5269,
|
387 |
+
"num_input_tokens_seen": 0,
|
388 |
+
"num_train_epochs": 1,
|
389 |
+
"save_steps": 500,
|
390 |
+
"stateful_callbacks": {
|
391 |
+
"TrainerControl": {
|
392 |
+
"args": {
|
393 |
+
"should_epoch_stop": false,
|
394 |
+
"should_evaluate": false,
|
395 |
+
"should_log": false,
|
396 |
+
"should_save": true,
|
397 |
+
"should_training_stop": true
|
398 |
+
},
|
399 |
+
"attributes": {}
|
400 |
+
}
|
401 |
+
},
|
402 |
+
"total_flos": 9.597350805504e+16,
|
403 |
+
"train_batch_size": 2,
|
404 |
+
"trial_name": null,
|
405 |
+
"trial_params": null
|
406 |
+
}
|