postcn commited on
Commit
0161ba1
·
verified ·
1 Parent(s): 72e2b1a

Upload 12 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": "davidkim205/komt-mistral-7b-v1",
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": 16.0,
14
+ "lora_dropout": 0.3,
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": "unsloth",
22
+ "target_modules": [
23
+ "o_proj",
24
+ "q_proj",
25
+ "k_proj",
26
+ "up_proj",
27
+ "v_proj",
28
+ "down_proj",
29
+ "gate_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 sha256:30c47692b44bd4c7757d7cdf249dd16ba4c2c363d0552e10495570c759fa49b9
3
+ size 167832240
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:86c0d65913b54a76c7459e1e339996ec78ce9fb835ee412011bddd1a8d1cae10
3
+ size 84571156
requirements.txt ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ transformers
2
+ peft
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:82314b98f8a55743027184d3df6336b209a6835850fe863b7b0a453e011dec5d
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:46836e4c761705209e1b953d5034dec441969c6b809e5711efb7febaa0d34e71
3
+ size 1064
special_tokens_map.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<unk>",
4
+ "<s>",
5
+ "</s>"
6
+ ],
7
+ "bos_token": {
8
+ "content": "<s>",
9
+ "lstrip": false,
10
+ "normalized": false,
11
+ "rstrip": false,
12
+ "single_word": false
13
+ },
14
+ "eos_token": {
15
+ "content": "</s>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false
20
+ },
21
+ "pad_token": "<unk>",
22
+ "unk_token": {
23
+ "content": "<unk>",
24
+ "lstrip": false,
25
+ "normalized": false,
26
+ "rstrip": false,
27
+ "single_word": false
28
+ }
29
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
3
+ size 493443
tokenizer_config.json ADDED
@@ -0,0 +1,49 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": true,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<unk>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<s>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "2": {
23
+ "content": "</s>",
24
+ "lstrip": false,
25
+ "normalized": false,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": true
29
+ }
30
+ },
31
+ "additional_special_tokens": [
32
+ "<unk>",
33
+ "<s>",
34
+ "</s>"
35
+ ],
36
+ "bos_token": "<s>",
37
+ "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token + ' ' }}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
38
+ "clean_up_tokenization_spaces": false,
39
+ "eos_token": "</s>",
40
+ "legacy": true,
41
+ "model_max_length": 32768,
42
+ "pad_token": "<unk>",
43
+ "padding_side": "right",
44
+ "sp_model_kwargs": {},
45
+ "spaces_between_special_tokens": false,
46
+ "tokenizer_class": "LlamaTokenizer",
47
+ "unk_token": "<unk>",
48
+ "use_default_system_prompt": true
49
+ }
trainer_state.json ADDED
@@ -0,0 +1,321 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.9011406844106464,
5
+ "eval_steps": 50,
6
+ "global_step": 1000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.1,
13
+ "grad_norm": 0.6337016224861145,
14
+ "learning_rate": 7.5e-07,
15
+ "loss": 1.326,
16
+ "step": 50
17
+ },
18
+ {
19
+ "epoch": 0.1,
20
+ "eval_loss": 1.3350285291671753,
21
+ "eval_runtime": 394.6138,
22
+ "eval_samples_per_second": 5.459,
23
+ "eval_steps_per_second": 0.684,
24
+ "step": 50
25
+ },
26
+ {
27
+ "epoch": 0.19,
28
+ "grad_norm": 0.6025093197822571,
29
+ "learning_rate": 1.5e-06,
30
+ "loss": 1.3065,
31
+ "step": 100
32
+ },
33
+ {
34
+ "epoch": 0.19,
35
+ "eval_loss": 1.2850024700164795,
36
+ "eval_runtime": 394.5243,
37
+ "eval_samples_per_second": 5.46,
38
+ "eval_steps_per_second": 0.684,
39
+ "step": 100
40
+ },
41
+ {
42
+ "epoch": 0.29,
43
+ "grad_norm": 0.5091537237167358,
44
+ "learning_rate": 2.25e-06,
45
+ "loss": 1.2129,
46
+ "step": 150
47
+ },
48
+ {
49
+ "epoch": 0.29,
50
+ "eval_loss": 1.1226935386657715,
51
+ "eval_runtime": 394.4733,
52
+ "eval_samples_per_second": 5.46,
53
+ "eval_steps_per_second": 0.684,
54
+ "step": 150
55
+ },
56
+ {
57
+ "epoch": 0.38,
58
+ "grad_norm": 0.6157342195510864,
59
+ "learning_rate": 3e-06,
60
+ "loss": 0.9817,
61
+ "step": 200
62
+ },
63
+ {
64
+ "epoch": 0.38,
65
+ "eval_loss": 0.8010650873184204,
66
+ "eval_runtime": 394.6158,
67
+ "eval_samples_per_second": 5.458,
68
+ "eval_steps_per_second": 0.684,
69
+ "step": 200
70
+ },
71
+ {
72
+ "epoch": 0.48,
73
+ "grad_norm": 0.22548706829547882,
74
+ "learning_rate": 2.971177920604846e-06,
75
+ "loss": 0.6524,
76
+ "step": 250
77
+ },
78
+ {
79
+ "epoch": 0.48,
80
+ "eval_loss": 0.5880268812179565,
81
+ "eval_runtime": 394.5715,
82
+ "eval_samples_per_second": 5.459,
83
+ "eval_steps_per_second": 0.684,
84
+ "step": 250
85
+ },
86
+ {
87
+ "epoch": 0.57,
88
+ "grad_norm": 0.19589273631572723,
89
+ "learning_rate": 2.88581929876693e-06,
90
+ "loss": 0.5671,
91
+ "step": 300
92
+ },
93
+ {
94
+ "epoch": 0.57,
95
+ "eval_loss": 0.563366174697876,
96
+ "eval_runtime": 394.434,
97
+ "eval_samples_per_second": 5.461,
98
+ "eval_steps_per_second": 0.685,
99
+ "step": 300
100
+ },
101
+ {
102
+ "epoch": 0.67,
103
+ "grad_norm": 0.20705421268939972,
104
+ "learning_rate": 2.747204418453818e-06,
105
+ "loss": 0.5519,
106
+ "step": 350
107
+ },
108
+ {
109
+ "epoch": 0.67,
110
+ "eval_loss": 0.547275722026825,
111
+ "eval_runtime": 394.6461,
112
+ "eval_samples_per_second": 5.458,
113
+ "eval_steps_per_second": 0.684,
114
+ "step": 350
115
+ },
116
+ {
117
+ "epoch": 0.76,
118
+ "grad_norm": 0.1976100355386734,
119
+ "learning_rate": 2.5606601717798212e-06,
120
+ "loss": 0.5389,
121
+ "step": 400
122
+ },
123
+ {
124
+ "epoch": 0.76,
125
+ "eval_loss": 0.5334580540657043,
126
+ "eval_runtime": 394.6493,
127
+ "eval_samples_per_second": 5.458,
128
+ "eval_steps_per_second": 0.684,
129
+ "step": 400
130
+ },
131
+ {
132
+ "epoch": 0.86,
133
+ "grad_norm": 0.18715547025203705,
134
+ "learning_rate": 2.3333553495294033e-06,
135
+ "loss": 0.5297,
136
+ "step": 450
137
+ },
138
+ {
139
+ "epoch": 0.86,
140
+ "eval_loss": 0.5227681994438171,
141
+ "eval_runtime": 394.7112,
142
+ "eval_samples_per_second": 5.457,
143
+ "eval_steps_per_second": 0.684,
144
+ "step": 450
145
+ },
146
+ {
147
+ "epoch": 0.95,
148
+ "grad_norm": 0.1926855742931366,
149
+ "learning_rate": 2.074025148547635e-06,
150
+ "loss": 0.5114,
151
+ "step": 500
152
+ },
153
+ {
154
+ "epoch": 0.95,
155
+ "eval_loss": 0.5151167511940002,
156
+ "eval_runtime": 390.7412,
157
+ "eval_samples_per_second": 5.513,
158
+ "eval_steps_per_second": 0.691,
159
+ "step": 500
160
+ },
161
+ {
162
+ "epoch": 1.05,
163
+ "grad_norm": 0.20605137944221497,
164
+ "learning_rate": 1.7926354830241926e-06,
165
+ "loss": 0.5109,
166
+ "step": 550
167
+ },
168
+ {
169
+ "epoch": 1.05,
170
+ "eval_loss": 0.5088621973991394,
171
+ "eval_runtime": 392.8267,
172
+ "eval_samples_per_second": 5.483,
173
+ "eval_steps_per_second": 0.687,
174
+ "step": 550
175
+ },
176
+ {
177
+ "epoch": 1.14,
178
+ "grad_norm": 0.23452071845531464,
179
+ "learning_rate": 1.5e-06,
180
+ "loss": 0.5079,
181
+ "step": 600
182
+ },
183
+ {
184
+ "epoch": 1.14,
185
+ "eval_loss": 0.5038764476776123,
186
+ "eval_runtime": 391.3908,
187
+ "eval_samples_per_second": 5.503,
188
+ "eval_steps_per_second": 0.69,
189
+ "step": 600
190
+ },
191
+ {
192
+ "epoch": 1.24,
193
+ "grad_norm": 0.22774113714694977,
194
+ "learning_rate": 1.2073645169758077e-06,
195
+ "loss": 0.4999,
196
+ "step": 650
197
+ },
198
+ {
199
+ "epoch": 1.24,
200
+ "eval_loss": 0.5000301599502563,
201
+ "eval_runtime": 392.1009,
202
+ "eval_samples_per_second": 5.493,
203
+ "eval_steps_per_second": 0.689,
204
+ "step": 650
205
+ },
206
+ {
207
+ "epoch": 1.33,
208
+ "grad_norm": 0.21539181470870972,
209
+ "learning_rate": 9.259748514523654e-07,
210
+ "loss": 0.4908,
211
+ "step": 700
212
+ },
213
+ {
214
+ "epoch": 1.33,
215
+ "eval_loss": 0.4972001016139984,
216
+ "eval_runtime": 392.3879,
217
+ "eval_samples_per_second": 5.489,
218
+ "eval_steps_per_second": 0.688,
219
+ "step": 700
220
+ },
221
+ {
222
+ "epoch": 1.43,
223
+ "grad_norm": 0.20129938423633575,
224
+ "learning_rate": 6.666446504705971e-07,
225
+ "loss": 0.4888,
226
+ "step": 750
227
+ },
228
+ {
229
+ "epoch": 1.43,
230
+ "eval_loss": 0.4950333833694458,
231
+ "eval_runtime": 392.4542,
232
+ "eval_samples_per_second": 5.489,
233
+ "eval_steps_per_second": 0.688,
234
+ "step": 750
235
+ },
236
+ {
237
+ "epoch": 1.52,
238
+ "grad_norm": 0.20948025584220886,
239
+ "learning_rate": 4.3933982822017883e-07,
240
+ "loss": 0.4915,
241
+ "step": 800
242
+ },
243
+ {
244
+ "epoch": 1.52,
245
+ "eval_loss": 0.49351951479911804,
246
+ "eval_runtime": 392.3544,
247
+ "eval_samples_per_second": 5.49,
248
+ "eval_steps_per_second": 0.688,
249
+ "step": 800
250
+ },
251
+ {
252
+ "epoch": 1.62,
253
+ "grad_norm": 0.21380692720413208,
254
+ "learning_rate": 2.52795581546182e-07,
255
+ "loss": 0.4935,
256
+ "step": 850
257
+ },
258
+ {
259
+ "epoch": 1.62,
260
+ "eval_loss": 0.4924446642398834,
261
+ "eval_runtime": 392.3544,
262
+ "eval_samples_per_second": 5.49,
263
+ "eval_steps_per_second": 0.688,
264
+ "step": 850
265
+ },
266
+ {
267
+ "epoch": 1.71,
268
+ "grad_norm": 0.2027772217988968,
269
+ "learning_rate": 1.141807012330699e-07,
270
+ "loss": 0.4869,
271
+ "step": 900
272
+ },
273
+ {
274
+ "epoch": 1.71,
275
+ "eval_loss": 0.4918237328529358,
276
+ "eval_runtime": 392.4738,
277
+ "eval_samples_per_second": 5.488,
278
+ "eval_steps_per_second": 0.688,
279
+ "step": 900
280
+ },
281
+ {
282
+ "epoch": 1.81,
283
+ "grad_norm": 0.22568389773368835,
284
+ "learning_rate": 2.8822079395154353e-08,
285
+ "loss": 0.4887,
286
+ "step": 950
287
+ },
288
+ {
289
+ "epoch": 1.81,
290
+ "eval_loss": 0.4916115403175354,
291
+ "eval_runtime": 392.4881,
292
+ "eval_samples_per_second": 5.488,
293
+ "eval_steps_per_second": 0.688,
294
+ "step": 950
295
+ },
296
+ {
297
+ "epoch": 1.9,
298
+ "grad_norm": 0.2142002135515213,
299
+ "learning_rate": 0.0,
300
+ "loss": 0.4898,
301
+ "step": 1000
302
+ },
303
+ {
304
+ "epoch": 1.9,
305
+ "eval_loss": 0.4915645122528076,
306
+ "eval_runtime": 392.486,
307
+ "eval_samples_per_second": 5.488,
308
+ "eval_steps_per_second": 0.688,
309
+ "step": 1000
310
+ }
311
+ ],
312
+ "logging_steps": 50,
313
+ "max_steps": 1000,
314
+ "num_input_tokens_seen": 0,
315
+ "num_train_epochs": 2,
316
+ "save_steps": 200,
317
+ "total_flos": 2.664713513598517e+18,
318
+ "train_batch_size": 4,
319
+ "trial_name": null,
320
+ "trial_params": null
321
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:58a17bdb7672b38523cfec65be37a7754214e2c007a24a13ef228608dc9aaa4f
3
+ size 4984