KingNish commited on
Commit
8704fd3
1 Parent(s): 719b33d

Upload 3 files

Browse files
adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "Felladrin/TinyMistral-248M-Chat-v2",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 32,
14
+ "lora_dropout": 0.05,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 16,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "o_proj",
24
+ "v_proj",
25
+ "up_proj",
26
+ "down_proj",
27
+ "gate_proj",
28
+ "q_proj",
29
+ "k_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2a15eb8cb355fabd6168bb9f76c1fab728133b3010cd4ea970b7a9ee538aff85
3
+ size 16930368
trainer_state.json ADDED
@@ -0,0 +1,383 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.2,
5
+ "eval_steps": 500,
6
+ "global_step": 500,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.004,
13
+ "grad_norm": 0.14456839859485626,
14
+ "learning_rate": 0.0002,
15
+ "loss": 2.6994,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.008,
20
+ "grad_norm": 0.12785384058952332,
21
+ "learning_rate": 0.0002,
22
+ "loss": 2.5263,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.012,
27
+ "grad_norm": 0.13556812703609467,
28
+ "learning_rate": 0.0002,
29
+ "loss": 2.4,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.016,
34
+ "grad_norm": 0.16702307760715485,
35
+ "learning_rate": 0.0002,
36
+ "loss": 2.2516,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.02,
41
+ "grad_norm": 0.3053046464920044,
42
+ "learning_rate": 0.0002,
43
+ "loss": 2.1036,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.024,
48
+ "grad_norm": 0.22266729176044464,
49
+ "learning_rate": 0.0002,
50
+ "loss": 2.3971,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.028,
55
+ "grad_norm": 0.14757753908634186,
56
+ "learning_rate": 0.0002,
57
+ "loss": 2.3272,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.032,
62
+ "grad_norm": 0.1445876806974411,
63
+ "learning_rate": 0.0002,
64
+ "loss": 2.3242,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.036,
69
+ "grad_norm": 0.1639222800731659,
70
+ "learning_rate": 0.0002,
71
+ "loss": 2.0874,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.04,
76
+ "grad_norm": 0.30435118079185486,
77
+ "learning_rate": 0.0002,
78
+ "loss": 1.9193,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 0.044,
83
+ "grad_norm": 0.19899794459342957,
84
+ "learning_rate": 0.0002,
85
+ "loss": 2.3188,
86
+ "step": 110
87
+ },
88
+ {
89
+ "epoch": 0.048,
90
+ "grad_norm": 0.171605184674263,
91
+ "learning_rate": 0.0002,
92
+ "loss": 2.285,
93
+ "step": 120
94
+ },
95
+ {
96
+ "epoch": 0.052,
97
+ "grad_norm": 0.18728512525558472,
98
+ "learning_rate": 0.0002,
99
+ "loss": 2.2458,
100
+ "step": 130
101
+ },
102
+ {
103
+ "epoch": 0.056,
104
+ "grad_norm": 0.21194487810134888,
105
+ "learning_rate": 0.0002,
106
+ "loss": 2.038,
107
+ "step": 140
108
+ },
109
+ {
110
+ "epoch": 0.06,
111
+ "grad_norm": 0.3907397985458374,
112
+ "learning_rate": 0.0002,
113
+ "loss": 1.8128,
114
+ "step": 150
115
+ },
116
+ {
117
+ "epoch": 0.064,
118
+ "grad_norm": 0.2305271327495575,
119
+ "learning_rate": 0.0002,
120
+ "loss": 2.2758,
121
+ "step": 160
122
+ },
123
+ {
124
+ "epoch": 0.068,
125
+ "grad_norm": 0.1841125786304474,
126
+ "learning_rate": 0.0002,
127
+ "loss": 2.2169,
128
+ "step": 170
129
+ },
130
+ {
131
+ "epoch": 0.072,
132
+ "grad_norm": 0.18488088250160217,
133
+ "learning_rate": 0.0002,
134
+ "loss": 2.1981,
135
+ "step": 180
136
+ },
137
+ {
138
+ "epoch": 0.076,
139
+ "grad_norm": 0.22125467658042908,
140
+ "learning_rate": 0.0002,
141
+ "loss": 2.0181,
142
+ "step": 190
143
+ },
144
+ {
145
+ "epoch": 0.08,
146
+ "grad_norm": 0.36263903975486755,
147
+ "learning_rate": 0.0002,
148
+ "loss": 1.7492,
149
+ "step": 200
150
+ },
151
+ {
152
+ "epoch": 0.084,
153
+ "grad_norm": 0.23995819687843323,
154
+ "learning_rate": 0.0002,
155
+ "loss": 2.2287,
156
+ "step": 210
157
+ },
158
+ {
159
+ "epoch": 0.088,
160
+ "grad_norm": 0.18997274339199066,
161
+ "learning_rate": 0.0002,
162
+ "loss": 2.2265,
163
+ "step": 220
164
+ },
165
+ {
166
+ "epoch": 0.092,
167
+ "grad_norm": 0.19529950618743896,
168
+ "learning_rate": 0.0002,
169
+ "loss": 2.2107,
170
+ "step": 230
171
+ },
172
+ {
173
+ "epoch": 0.096,
174
+ "grad_norm": 0.23907797038555145,
175
+ "learning_rate": 0.0002,
176
+ "loss": 1.9434,
177
+ "step": 240
178
+ },
179
+ {
180
+ "epoch": 0.1,
181
+ "grad_norm": 0.3128001093864441,
182
+ "learning_rate": 0.0002,
183
+ "loss": 1.7463,
184
+ "step": 250
185
+ },
186
+ {
187
+ "epoch": 0.104,
188
+ "grad_norm": 0.22716236114501953,
189
+ "learning_rate": 0.0002,
190
+ "loss": 2.2284,
191
+ "step": 260
192
+ },
193
+ {
194
+ "epoch": 0.108,
195
+ "grad_norm": 0.19475902616977692,
196
+ "learning_rate": 0.0002,
197
+ "loss": 2.1706,
198
+ "step": 270
199
+ },
200
+ {
201
+ "epoch": 0.112,
202
+ "grad_norm": 0.19292621314525604,
203
+ "learning_rate": 0.0002,
204
+ "loss": 2.1211,
205
+ "step": 280
206
+ },
207
+ {
208
+ "epoch": 0.116,
209
+ "grad_norm": 0.27429261803627014,
210
+ "learning_rate": 0.0002,
211
+ "loss": 1.916,
212
+ "step": 290
213
+ },
214
+ {
215
+ "epoch": 0.12,
216
+ "grad_norm": 0.35040974617004395,
217
+ "learning_rate": 0.0002,
218
+ "loss": 1.6903,
219
+ "step": 300
220
+ },
221
+ {
222
+ "epoch": 0.124,
223
+ "grad_norm": 0.25687935948371887,
224
+ "learning_rate": 0.0002,
225
+ "loss": 2.1812,
226
+ "step": 310
227
+ },
228
+ {
229
+ "epoch": 0.128,
230
+ "grad_norm": 0.20279887318611145,
231
+ "learning_rate": 0.0002,
232
+ "loss": 2.2005,
233
+ "step": 320
234
+ },
235
+ {
236
+ "epoch": 0.132,
237
+ "grad_norm": 0.22153416275978088,
238
+ "learning_rate": 0.0002,
239
+ "loss": 2.1195,
240
+ "step": 330
241
+ },
242
+ {
243
+ "epoch": 0.136,
244
+ "grad_norm": 0.2411063015460968,
245
+ "learning_rate": 0.0002,
246
+ "loss": 1.8694,
247
+ "step": 340
248
+ },
249
+ {
250
+ "epoch": 0.14,
251
+ "grad_norm": 0.3698059320449829,
252
+ "learning_rate": 0.0002,
253
+ "loss": 1.6522,
254
+ "step": 350
255
+ },
256
+ {
257
+ "epoch": 0.144,
258
+ "grad_norm": 0.263630211353302,
259
+ "learning_rate": 0.0002,
260
+ "loss": 2.1644,
261
+ "step": 360
262
+ },
263
+ {
264
+ "epoch": 0.148,
265
+ "grad_norm": 0.22328948974609375,
266
+ "learning_rate": 0.0002,
267
+ "loss": 2.1753,
268
+ "step": 370
269
+ },
270
+ {
271
+ "epoch": 0.152,
272
+ "grad_norm": 0.21132981777191162,
273
+ "learning_rate": 0.0002,
274
+ "loss": 2.1191,
275
+ "step": 380
276
+ },
277
+ {
278
+ "epoch": 0.156,
279
+ "grad_norm": 0.2776873707771301,
280
+ "learning_rate": 0.0002,
281
+ "loss": 1.8539,
282
+ "step": 390
283
+ },
284
+ {
285
+ "epoch": 0.16,
286
+ "grad_norm": 0.34315550327301025,
287
+ "learning_rate": 0.0002,
288
+ "loss": 1.6447,
289
+ "step": 400
290
+ },
291
+ {
292
+ "epoch": 0.164,
293
+ "grad_norm": 0.2831268906593323,
294
+ "learning_rate": 0.0002,
295
+ "loss": 2.1451,
296
+ "step": 410
297
+ },
298
+ {
299
+ "epoch": 0.168,
300
+ "grad_norm": 0.2178158015012741,
301
+ "learning_rate": 0.0002,
302
+ "loss": 2.1368,
303
+ "step": 420
304
+ },
305
+ {
306
+ "epoch": 0.172,
307
+ "grad_norm": 0.22629423439502716,
308
+ "learning_rate": 0.0002,
309
+ "loss": 2.1039,
310
+ "step": 430
311
+ },
312
+ {
313
+ "epoch": 0.176,
314
+ "grad_norm": 0.2540661096572876,
315
+ "learning_rate": 0.0002,
316
+ "loss": 1.856,
317
+ "step": 440
318
+ },
319
+ {
320
+ "epoch": 0.18,
321
+ "grad_norm": 0.3525744676589966,
322
+ "learning_rate": 0.0002,
323
+ "loss": 1.6286,
324
+ "step": 450
325
+ },
326
+ {
327
+ "epoch": 0.184,
328
+ "grad_norm": 0.24233509600162506,
329
+ "learning_rate": 0.0002,
330
+ "loss": 2.1296,
331
+ "step": 460
332
+ },
333
+ {
334
+ "epoch": 0.188,
335
+ "grad_norm": 0.20195922255516052,
336
+ "learning_rate": 0.0002,
337
+ "loss": 2.1321,
338
+ "step": 470
339
+ },
340
+ {
341
+ "epoch": 0.192,
342
+ "grad_norm": 0.25681406259536743,
343
+ "learning_rate": 0.0002,
344
+ "loss": 2.0255,
345
+ "step": 480
346
+ },
347
+ {
348
+ "epoch": 0.196,
349
+ "grad_norm": 0.2791021764278412,
350
+ "learning_rate": 0.0002,
351
+ "loss": 1.8141,
352
+ "step": 490
353
+ },
354
+ {
355
+ "epoch": 0.2,
356
+ "grad_norm": 0.3304845690727234,
357
+ "learning_rate": 0.0002,
358
+ "loss": 1.6042,
359
+ "step": 500
360
+ }
361
+ ],
362
+ "logging_steps": 10,
363
+ "max_steps": 1000,
364
+ "num_input_tokens_seen": 0,
365
+ "num_train_epochs": 1,
366
+ "save_steps": 100,
367
+ "stateful_callbacks": {
368
+ "TrainerControl": {
369
+ "args": {
370
+ "should_epoch_stop": false,
371
+ "should_evaluate": false,
372
+ "should_log": false,
373
+ "should_save": true,
374
+ "should_training_stop": false
375
+ },
376
+ "attributes": {}
377
+ }
378
+ },
379
+ "total_flos": 1.7342773566308352e+16,
380
+ "train_batch_size": 12,
381
+ "trial_name": null,
382
+ "trial_params": null
383
+ }