MHGanainy commited on
Commit
e01f61f
·
verified ·
1 Parent(s): f5ec250

MHGanainy/16-clusters-balanced-3

Browse files
Files changed (5) hide show
  1. README.md +2 -0
  2. all_results.json +13 -0
  3. eval_results.json +8 -0
  4. train_results.json +8 -0
  5. trainer_state.json +357 -0
README.md CHANGED
@@ -15,6 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
15
  # 16-clusters-balanced-3
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
  # 16-clusters-balanced-3
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: 2.1838
20
 
21
  ## Model description
22
 
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "eval_loss": 2.183828830718994,
4
+ "eval_runtime": 59.4359,
5
+ "eval_samples_per_second": 13.746,
6
+ "eval_steps_per_second": 1.733,
7
+ "perplexity": 8.880242193891197,
8
+ "total_flos": 8.2279274151936e+16,
9
+ "train_loss": 2.2892676124303164,
10
+ "train_runtime": 1413.0668,
11
+ "train_samples_per_second": 6.408,
12
+ "train_steps_per_second": 3.204
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "eval_loss": 2.183828830718994,
4
+ "eval_runtime": 59.4359,
5
+ "eval_samples_per_second": 13.746,
6
+ "eval_steps_per_second": 1.733,
7
+ "perplexity": 8.880242193891197
8
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "total_flos": 8.2279274151936e+16,
4
+ "train_loss": 2.2892676124303164,
5
+ "train_runtime": 1413.0668,
6
+ "train_samples_per_second": 6.408,
7
+ "train_steps_per_second": 3.204
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,357 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "eval_steps": 500,
6
+ "global_step": 4528,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.022084805653710248,
13
+ "grad_norm": 0.1020389199256897,
14
+ "learning_rate": 6.666666666666667e-06,
15
+ "loss": 2.5011,
16
+ "step": 100
17
+ },
18
+ {
19
+ "epoch": 0.044169611307420496,
20
+ "grad_norm": 0.1910451352596283,
21
+ "learning_rate": 1.3333333333333333e-05,
22
+ "loss": 2.4789,
23
+ "step": 200
24
+ },
25
+ {
26
+ "epoch": 0.06625441696113074,
27
+ "grad_norm": 0.26337745785713196,
28
+ "learning_rate": 2e-05,
29
+ "loss": 2.4291,
30
+ "step": 300
31
+ },
32
+ {
33
+ "epoch": 0.08833922261484099,
34
+ "grad_norm": 0.3770335614681244,
35
+ "learning_rate": 1.9972406933597812e-05,
36
+ "loss": 2.4186,
37
+ "step": 400
38
+ },
39
+ {
40
+ "epoch": 0.11042402826855123,
41
+ "grad_norm": 0.36907321214675903,
42
+ "learning_rate": 1.988978000985394e-05,
43
+ "loss": 2.3774,
44
+ "step": 500
45
+ },
46
+ {
47
+ "epoch": 0.13250883392226148,
48
+ "grad_norm": 0.4569687247276306,
49
+ "learning_rate": 1.9752575214807077e-05,
50
+ "loss": 2.3992,
51
+ "step": 600
52
+ },
53
+ {
54
+ "epoch": 0.15459363957597172,
55
+ "grad_norm": 0.4629022777080536,
56
+ "learning_rate": 1.9561549728661312e-05,
57
+ "loss": 2.325,
58
+ "step": 700
59
+ },
60
+ {
61
+ "epoch": 0.17667844522968199,
62
+ "grad_norm": 0.47432681918144226,
63
+ "learning_rate": 1.9317757747201386e-05,
64
+ "loss": 2.3013,
65
+ "step": 800
66
+ },
67
+ {
68
+ "epoch": 0.19876325088339222,
69
+ "grad_norm": 0.46376603841781616,
70
+ "learning_rate": 1.9022544664093854e-05,
71
+ "loss": 2.3277,
72
+ "step": 900
73
+ },
74
+ {
75
+ "epoch": 0.22084805653710246,
76
+ "grad_norm": 0.48484688997268677,
77
+ "learning_rate": 1.8677539646179706e-05,
78
+ "loss": 2.314,
79
+ "step": 1000
80
+ },
81
+ {
82
+ "epoch": 0.24293286219081273,
83
+ "grad_norm": 0.655317485332489,
84
+ "learning_rate": 1.828464664273263e-05,
85
+ "loss": 2.3047,
86
+ "step": 1100
87
+ },
88
+ {
89
+ "epoch": 0.26501766784452296,
90
+ "grad_norm": 0.520976722240448,
91
+ "learning_rate": 1.7846033878299232e-05,
92
+ "loss": 2.2971,
93
+ "step": 1200
94
+ },
95
+ {
96
+ "epoch": 0.2871024734982332,
97
+ "grad_norm": 0.502010703086853,
98
+ "learning_rate": 1.7364121887106285e-05,
99
+ "loss": 2.3102,
100
+ "step": 1300
101
+ },
102
+ {
103
+ "epoch": 0.30918727915194344,
104
+ "grad_norm": 0.5849918127059937,
105
+ "learning_rate": 1.684157015506839e-05,
106
+ "loss": 2.2636,
107
+ "step": 1400
108
+ },
109
+ {
110
+ "epoch": 0.33127208480565373,
111
+ "grad_norm": 0.6814427375793457,
112
+ "learning_rate": 1.628126244311369e-05,
113
+ "loss": 2.2854,
114
+ "step": 1500
115
+ },
116
+ {
117
+ "epoch": 0.35335689045936397,
118
+ "grad_norm": 0.4844237267971039,
119
+ "learning_rate": 1.5686290872822504e-05,
120
+ "loss": 2.294,
121
+ "step": 1600
122
+ },
123
+ {
124
+ "epoch": 0.3754416961130742,
125
+ "grad_norm": 0.6080675721168518,
126
+ "learning_rate": 1.5059938862204126e-05,
127
+ "loss": 2.2631,
128
+ "step": 1700
129
+ },
130
+ {
131
+ "epoch": 0.39752650176678445,
132
+ "grad_norm": 0.561839759349823,
133
+ "learning_rate": 1.440566300578259e-05,
134
+ "loss": 2.2489,
135
+ "step": 1800
136
+ },
137
+ {
138
+ "epoch": 0.4196113074204947,
139
+ "grad_norm": 0.5733577609062195,
140
+ "learning_rate": 1.3727073998988202e-05,
141
+ "loss": 2.2505,
142
+ "step": 1900
143
+ },
144
+ {
145
+ "epoch": 0.4416961130742049,
146
+ "grad_norm": 0.6440421342849731,
147
+ "learning_rate": 1.3027916712125825e-05,
148
+ "loss": 2.2341,
149
+ "step": 2000
150
+ },
151
+ {
152
+ "epoch": 0.4637809187279152,
153
+ "grad_norm": 0.5807141661643982,
154
+ "learning_rate": 1.2312049523883851e-05,
155
+ "loss": 2.2842,
156
+ "step": 2100
157
+ },
158
+ {
159
+ "epoch": 0.48586572438162545,
160
+ "grad_norm": 0.6154150366783142,
161
+ "learning_rate": 1.1583423028434343e-05,
162
+ "loss": 2.2756,
163
+ "step": 2200
164
+ },
165
+ {
166
+ "epoch": 0.5079505300353356,
167
+ "grad_norm": 0.8887423276901245,
168
+ "learning_rate": 1.0846058233631565e-05,
169
+ "loss": 2.2388,
170
+ "step": 2300
171
+ },
172
+ {
173
+ "epoch": 0.5300353356890459,
174
+ "grad_norm": 0.6062945127487183,
175
+ "learning_rate": 1.0104024370624644e-05,
176
+ "loss": 2.2708,
177
+ "step": 2400
178
+ },
179
+ {
180
+ "epoch": 0.5521201413427562,
181
+ "grad_norm": 0.7383410930633545,
182
+ "learning_rate": 9.361416437344504e-06,
183
+ "loss": 2.2693,
184
+ "step": 2500
185
+ },
186
+ {
187
+ "epoch": 0.5742049469964664,
188
+ "grad_norm": 0.7274787425994873,
189
+ "learning_rate": 8.622332599793906e-06,
190
+ "loss": 2.2596,
191
+ "step": 2600
192
+ },
193
+ {
194
+ "epoch": 0.5962897526501767,
195
+ "grad_norm": 0.6965683102607727,
196
+ "learning_rate": 7.890851575854108e-06,
197
+ "loss": 2.2652,
198
+ "step": 2700
199
+ },
200
+ {
201
+ "epoch": 0.6183745583038869,
202
+ "grad_norm": 0.6714246273040771,
203
+ "learning_rate": 7.171010126418218e-06,
204
+ "loss": 2.2587,
205
+ "step": 2800
206
+ },
207
+ {
208
+ "epoch": 0.6404593639575972,
209
+ "grad_norm": 0.7770031690597534,
210
+ "learning_rate": 6.466780778068903e-06,
211
+ "loss": 2.2502,
212
+ "step": 2900
213
+ },
214
+ {
215
+ "epoch": 0.6625441696113075,
216
+ "grad_norm": 0.7164767980575562,
217
+ "learning_rate": 5.782049900240432e-06,
218
+ "loss": 2.2477,
219
+ "step": 3000
220
+ },
221
+ {
222
+ "epoch": 0.6846289752650176,
223
+ "grad_norm": 0.7085398435592651,
224
+ "learning_rate": 5.120596257848716e-06,
225
+ "loss": 2.268,
226
+ "step": 3100
227
+ },
228
+ {
229
+ "epoch": 0.7067137809187279,
230
+ "grad_norm": 0.7723512053489685,
231
+ "learning_rate": 4.486070157749059e-06,
232
+ "loss": 2.2363,
233
+ "step": 3200
234
+ },
235
+ {
236
+ "epoch": 0.7287985865724381,
237
+ "grad_norm": 0.6914446353912354,
238
+ "learning_rate": 3.881973304104252e-06,
239
+ "loss": 2.2511,
240
+ "step": 3300
241
+ },
242
+ {
243
+ "epoch": 0.7508833922261484,
244
+ "grad_norm": 0.6801828742027283,
245
+ "learning_rate": 3.311639473833487e-06,
246
+ "loss": 2.2672,
247
+ "step": 3400
248
+ },
249
+ {
250
+ "epoch": 0.7729681978798587,
251
+ "grad_norm": 0.6551490426063538,
252
+ "learning_rate": 2.778216118786782e-06,
253
+ "loss": 2.2574,
254
+ "step": 3500
255
+ },
256
+ {
257
+ "epoch": 0.7950530035335689,
258
+ "grad_norm": 0.7881369590759277,
259
+ "learning_rate": 2.2846469961753916e-06,
260
+ "loss": 2.2728,
261
+ "step": 3600
262
+ },
263
+ {
264
+ "epoch": 0.8171378091872792,
265
+ "grad_norm": 0.6549363136291504,
266
+ "learning_rate": 1.8336559231141726e-06,
267
+ "loss": 2.2253,
268
+ "step": 3700
269
+ },
270
+ {
271
+ "epoch": 0.8392226148409894,
272
+ "grad_norm": 0.6901439428329468,
273
+ "learning_rate": 1.4277317449282834e-06,
274
+ "loss": 2.2392,
275
+ "step": 3800
276
+ },
277
+ {
278
+ "epoch": 0.8613074204946997,
279
+ "grad_norm": 0.6845853924751282,
280
+ "learning_rate": 1.0691146001783081e-06,
281
+ "loss": 2.2545,
282
+ "step": 3900
283
+ },
284
+ {
285
+ "epoch": 0.8833922261484098,
286
+ "grad_norm": 0.7686012387275696,
287
+ "learning_rate": 7.597835582018586e-07,
288
+ "loss": 2.2374,
289
+ "step": 4000
290
+ },
291
+ {
292
+ "epoch": 0.9054770318021201,
293
+ "grad_norm": 0.6920452117919922,
294
+ "learning_rate": 5.014456973952375e-07,
295
+ "loss": 2.249,
296
+ "step": 4100
297
+ },
298
+ {
299
+ "epoch": 0.9275618374558304,
300
+ "grad_norm": 0.5871976613998413,
301
+ "learning_rate": 2.9552668450792965e-07,
302
+ "loss": 2.2629,
303
+ "step": 4200
304
+ },
305
+ {
306
+ "epoch": 0.9496466431095406,
307
+ "grad_norm": 0.7372850179672241,
308
+ "learning_rate": 1.431629069391516e-07,
309
+ "loss": 2.2742,
310
+ "step": 4300
311
+ },
312
+ {
313
+ "epoch": 0.9717314487632509,
314
+ "grad_norm": 0.7272618412971497,
315
+ "learning_rate": 4.519520145525369e-08,
316
+ "loss": 2.238,
317
+ "step": 4400
318
+ },
319
+ {
320
+ "epoch": 0.9938162544169611,
321
+ "grad_norm": 0.6909335851669312,
322
+ "learning_rate": 2.164213936770576e-09,
323
+ "loss": 2.2434,
324
+ "step": 4500
325
+ },
326
+ {
327
+ "epoch": 1.0,
328
+ "step": 4528,
329
+ "total_flos": 8.2279274151936e+16,
330
+ "train_loss": 2.2892676124303164,
331
+ "train_runtime": 1413.0668,
332
+ "train_samples_per_second": 6.408,
333
+ "train_steps_per_second": 3.204
334
+ }
335
+ ],
336
+ "logging_steps": 100,
337
+ "max_steps": 4528,
338
+ "num_input_tokens_seen": 0,
339
+ "num_train_epochs": 1,
340
+ "save_steps": 500,
341
+ "stateful_callbacks": {
342
+ "TrainerControl": {
343
+ "args": {
344
+ "should_epoch_stop": false,
345
+ "should_evaluate": false,
346
+ "should_log": false,
347
+ "should_save": true,
348
+ "should_training_stop": true
349
+ },
350
+ "attributes": {}
351
+ }
352
+ },
353
+ "total_flos": 8.2279274151936e+16,
354
+ "train_batch_size": 2,
355
+ "trial_name": null,
356
+ "trial_params": null
357
+ }