preetam7 commited on
Commit
7566c5b
·
verified ·
1 Parent(s): 12ac766

Upload 10 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": "HuggingFaceH4/zephyr-7b-beta",
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,
14
+ "lora_dropout": 0,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 8,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "o_proj",
24
+ "gate_proj",
25
+ "down_proj",
26
+ "v_proj",
27
+ "q_proj",
28
+ "up_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:d9d6cea7e5a6765fe578674ea3219dd949e13f0fc3f50ba2da929dd8519e07e3
3
+ size 83945296
llamaboard_config.yaml ADDED
@@ -0,0 +1,63 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ top.booster: none
2
+ top.checkpoint_path: null
3
+ top.finetuning_type: lora
4
+ top.model_name: Zephyr-7B-Beta-Chat
5
+ top.quantization_bit: '4'
6
+ top.rope_scaling: none
7
+ top.template: zephyr
8
+ top.visual_inputs: false
9
+ train.additional_target: ''
10
+ train.badam_mode: layer
11
+ train.badam_switch_interval: 50
12
+ train.badam_switch_mode: ascending
13
+ train.badam_update_ratio: 0.05
14
+ train.batch_size: 2
15
+ train.compute_type: fp16
16
+ train.create_new_adapter: false
17
+ train.cutoff_len: 4096
18
+ train.dataset:
19
+ - claimver_kgllm
20
+ train.dataset_dir: data
21
+ train.ds_offload: false
22
+ train.ds_stage: none
23
+ train.freeze_extra_modules: ''
24
+ train.freeze_trainable_layers: 2
25
+ train.freeze_trainable_modules: all
26
+ train.galore_rank: 16
27
+ train.galore_scale: 0.25
28
+ train.galore_target: all
29
+ train.galore_update_interval: 200
30
+ train.gradient_accumulation_steps: 8
31
+ train.learning_rate: 5e-5
32
+ train.logging_steps: 5
33
+ train.lora_alpha: 16
34
+ train.lora_dropout: 0
35
+ train.lora_rank: 8
36
+ train.lora_target: ''
37
+ train.loraplus_lr_ratio: 0
38
+ train.lr_scheduler_type: cosine
39
+ train.max_grad_norm: '1.0'
40
+ train.max_samples: '100000'
41
+ train.neftune_alpha: 0
42
+ train.num_train_epochs: '2'
43
+ train.optim: adamw_torch
44
+ train.packing: false
45
+ train.ppo_score_norm: false
46
+ train.ppo_whiten_rewards: false
47
+ train.pref_beta: 0.1
48
+ train.pref_ftx: 0
49
+ train.pref_loss: sigmoid
50
+ train.report_to: false
51
+ train.resize_vocab: false
52
+ train.reward_model: null
53
+ train.save_steps: 100
54
+ train.shift_attn: false
55
+ train.training_stage: Supervised Fine-Tuning
56
+ train.upcast_layernorm: false
57
+ train.use_badam: false
58
+ train.use_dora: false
59
+ train.use_galore: false
60
+ train.use_llama_pro: false
61
+ train.use_rslora: false
62
+ train.val_size: 0
63
+ train.warmup_steps: 0
special_tokens_map.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": {
22
+ "content": "</s>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false
27
+ },
28
+ "unk_token": {
29
+ "content": "<unk>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false
34
+ }
35
+ }
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 +1,50 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "added_tokens_decoder": {
5
+ "0": {
6
+ "content": "<unk>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "1": {
14
+ "content": "<s>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "2": {
22
+ "content": "</s>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ }
29
+ },
30
+ "additional_special_tokens": [
31
+ "<unk>",
32
+ "<s>",
33
+ "</s>"
34
+ ],
35
+ "bos_token": "<s>",
36
+ "chat_template": "{% set system_message = 'You are Zephyr, a helpful assistant.' %}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ '<|system|>\n' + system_message + '</s>' }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|user|>\n' + content + '</s>' + '<|assistant|>' }}{% elif message['role'] == 'assistant' %}{{ '\n' + content + '</s>' }}{% endif %}{% endfor %}",
37
+ "clean_up_tokenization_spaces": false,
38
+ "eos_token": "</s>",
39
+ "legacy": true,
40
+ "model_max_length": 1000000000000000019884624838656,
41
+ "pad_token": "</s>",
42
+ "padding_side": "right",
43
+ "sp_model_kwargs": {},
44
+ "spaces_between_special_tokens": false,
45
+ "split_special_tokens": false,
46
+ "tokenizer_class": "LlamaTokenizer",
47
+ "truncation_side": "left",
48
+ "unk_token": "<unk>",
49
+ "use_default_system_prompt": true
50
+ }
trainer_state.json ADDED
@@ -0,0 +1,379 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.9952941176470587,
5
+ "eval_steps": 500,
6
+ "global_step": 212,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.047058823529411764,
13
+ "grad_norm": 1.3170621395111084,
14
+ "learning_rate": 4.9931407070965254e-05,
15
+ "loss": 0.8347,
16
+ "num_input_tokens_seen": 116560,
17
+ "step": 5
18
+ },
19
+ {
20
+ "epoch": 0.09411764705882353,
21
+ "grad_norm": 0.7480270862579346,
22
+ "learning_rate": 4.97260046830541e-05,
23
+ "loss": 0.545,
24
+ "num_input_tokens_seen": 229632,
25
+ "step": 10
26
+ },
27
+ {
28
+ "epoch": 0.1411764705882353,
29
+ "grad_norm": 0.7734505534172058,
30
+ "learning_rate": 4.9384919968379945e-05,
31
+ "loss": 0.4738,
32
+ "num_input_tokens_seen": 345008,
33
+ "step": 15
34
+ },
35
+ {
36
+ "epoch": 0.18823529411764706,
37
+ "grad_norm": 0.6531177163124084,
38
+ "learning_rate": 4.891002460691306e-05,
39
+ "loss": 0.4494,
40
+ "num_input_tokens_seen": 464176,
41
+ "step": 20
42
+ },
43
+ {
44
+ "epoch": 0.23529411764705882,
45
+ "grad_norm": 0.6236650943756104,
46
+ "learning_rate": 4.83039245557597e-05,
47
+ "loss": 0.4115,
48
+ "num_input_tokens_seen": 579536,
49
+ "step": 25
50
+ },
51
+ {
52
+ "epoch": 0.2823529411764706,
53
+ "grad_norm": 0.5742521286010742,
54
+ "learning_rate": 4.756994574914359e-05,
55
+ "loss": 0.3727,
56
+ "num_input_tokens_seen": 695664,
57
+ "step": 30
58
+ },
59
+ {
60
+ "epoch": 0.32941176470588235,
61
+ "grad_norm": 0.6050655841827393,
62
+ "learning_rate": 4.6712115847560355e-05,
63
+ "loss": 0.3611,
64
+ "num_input_tokens_seen": 816160,
65
+ "step": 35
66
+ },
67
+ {
68
+ "epoch": 0.3764705882352941,
69
+ "grad_norm": 0.610315203666687,
70
+ "learning_rate": 4.573514213625505e-05,
71
+ "loss": 0.3559,
72
+ "num_input_tokens_seen": 933856,
73
+ "step": 40
74
+ },
75
+ {
76
+ "epoch": 0.4235294117647059,
77
+ "grad_norm": 0.6431180834770203,
78
+ "learning_rate": 4.464438569430354e-05,
79
+ "loss": 0.3541,
80
+ "num_input_tokens_seen": 1056032,
81
+ "step": 45
82
+ },
83
+ {
84
+ "epoch": 0.47058823529411764,
85
+ "grad_norm": 0.6149665117263794,
86
+ "learning_rate": 4.344583197604318e-05,
87
+ "loss": 0.3322,
88
+ "num_input_tokens_seen": 1175184,
89
+ "step": 50
90
+ },
91
+ {
92
+ "epoch": 0.5176470588235295,
93
+ "grad_norm": 0.6773995757102966,
94
+ "learning_rate": 4.214605796628527e-05,
95
+ "loss": 0.3391,
96
+ "num_input_tokens_seen": 1296368,
97
+ "step": 55
98
+ },
99
+ {
100
+ "epoch": 0.5647058823529412,
101
+ "grad_norm": 0.8067043423652649,
102
+ "learning_rate": 4.075219608954278e-05,
103
+ "loss": 0.3238,
104
+ "num_input_tokens_seen": 1416656,
105
+ "step": 60
106
+ },
107
+ {
108
+ "epoch": 0.611764705882353,
109
+ "grad_norm": 0.6966668367385864,
110
+ "learning_rate": 3.927189507131938e-05,
111
+ "loss": 0.3191,
112
+ "num_input_tokens_seen": 1533136,
113
+ "step": 65
114
+ },
115
+ {
116
+ "epoch": 0.6588235294117647,
117
+ "grad_norm": 0.6485809087753296,
118
+ "learning_rate": 3.7713277966230514e-05,
119
+ "loss": 0.3192,
120
+ "num_input_tokens_seen": 1647680,
121
+ "step": 70
122
+ },
123
+ {
124
+ "epoch": 0.7058823529411765,
125
+ "grad_norm": 0.6206268072128296,
126
+ "learning_rate": 3.608489758327472e-05,
127
+ "loss": 0.324,
128
+ "num_input_tokens_seen": 1770192,
129
+ "step": 75
130
+ },
131
+ {
132
+ "epoch": 0.7529411764705882,
133
+ "grad_norm": 0.5658767819404602,
134
+ "learning_rate": 3.4395689552855955e-05,
135
+ "loss": 0.3092,
136
+ "num_input_tokens_seen": 1887696,
137
+ "step": 80
138
+ },
139
+ {
140
+ "epoch": 0.8,
141
+ "grad_norm": 0.6363285779953003,
142
+ "learning_rate": 3.265492329309867e-05,
143
+ "loss": 0.3074,
144
+ "num_input_tokens_seen": 2007312,
145
+ "step": 85
146
+ },
147
+ {
148
+ "epoch": 0.8470588235294118,
149
+ "grad_norm": 0.6739779710769653,
150
+ "learning_rate": 3.0872151144524595e-05,
151
+ "loss": 0.3092,
152
+ "num_input_tokens_seen": 2117952,
153
+ "step": 90
154
+ },
155
+ {
156
+ "epoch": 0.8941176470588236,
157
+ "grad_norm": 0.6705839037895203,
158
+ "learning_rate": 2.9057155952211502e-05,
159
+ "loss": 0.3015,
160
+ "num_input_tokens_seen": 2231696,
161
+ "step": 95
162
+ },
163
+ {
164
+ "epoch": 0.9411764705882353,
165
+ "grad_norm": 0.6125645041465759,
166
+ "learning_rate": 2.7219897383073373e-05,
167
+ "loss": 0.2964,
168
+ "num_input_tokens_seen": 2348320,
169
+ "step": 100
170
+ },
171
+ {
172
+ "epoch": 0.9882352941176471,
173
+ "grad_norm": 0.6411484479904175,
174
+ "learning_rate": 2.537045727284232e-05,
175
+ "loss": 0.2759,
176
+ "num_input_tokens_seen": 2462112,
177
+ "step": 105
178
+ },
179
+ {
180
+ "epoch": 1.035294117647059,
181
+ "grad_norm": 0.6348647475242615,
182
+ "learning_rate": 2.3518984302657146e-05,
183
+ "loss": 0.2772,
184
+ "num_input_tokens_seen": 2583648,
185
+ "step": 110
186
+ },
187
+ {
188
+ "epoch": 1.0823529411764705,
189
+ "grad_norm": 0.659324049949646,
190
+ "learning_rate": 2.1675638308842145e-05,
191
+ "loss": 0.2834,
192
+ "num_input_tokens_seen": 2704112,
193
+ "step": 115
194
+ },
195
+ {
196
+ "epoch": 1.1294117647058823,
197
+ "grad_norm": 0.7502089738845825,
198
+ "learning_rate": 1.9850534531472546e-05,
199
+ "loss": 0.2764,
200
+ "num_input_tokens_seen": 2823088,
201
+ "step": 120
202
+ },
203
+ {
204
+ "epoch": 1.1764705882352942,
205
+ "grad_norm": 0.6629338264465332,
206
+ "learning_rate": 1.8053688107658908e-05,
207
+ "loss": 0.2842,
208
+ "num_input_tokens_seen": 2940800,
209
+ "step": 125
210
+ },
211
+ {
212
+ "epoch": 1.223529411764706,
213
+ "grad_norm": 0.7144020199775696,
214
+ "learning_rate": 1.6294959114140034e-05,
215
+ "loss": 0.2712,
216
+ "num_input_tokens_seen": 3058864,
217
+ "step": 130
218
+ },
219
+ {
220
+ "epoch": 1.2705882352941176,
221
+ "grad_norm": 0.717128574848175,
222
+ "learning_rate": 1.4583998460759424e-05,
223
+ "loss": 0.2638,
224
+ "num_input_tokens_seen": 3174128,
225
+ "step": 135
226
+ },
227
+ {
228
+ "epoch": 1.3176470588235294,
229
+ "grad_norm": 0.7881118059158325,
230
+ "learning_rate": 1.2930194931731382e-05,
231
+ "loss": 0.2754,
232
+ "num_input_tokens_seen": 3289712,
233
+ "step": 140
234
+ },
235
+ {
236
+ "epoch": 1.3647058823529412,
237
+ "grad_norm": 0.738702654838562,
238
+ "learning_rate": 1.1342623665304209e-05,
239
+ "loss": 0.2844,
240
+ "num_input_tokens_seen": 3410480,
241
+ "step": 145
242
+ },
243
+ {
244
+ "epoch": 1.4117647058823528,
245
+ "grad_norm": 0.722718358039856,
246
+ "learning_rate": 9.829996354535172e-06,
247
+ "loss": 0.2745,
248
+ "num_input_tokens_seen": 3526224,
249
+ "step": 150
250
+ },
251
+ {
252
+ "epoch": 1.4588235294117646,
253
+ "grad_norm": 0.7094296216964722,
254
+ "learning_rate": 8.400613442446948e-06,
255
+ "loss": 0.2772,
256
+ "num_input_tokens_seen": 3644464,
257
+ "step": 155
258
+ },
259
+ {
260
+ "epoch": 1.5058823529411764,
261
+ "grad_norm": 0.7090117335319519,
262
+ "learning_rate": 7.062318573891716e-06,
263
+ "loss": 0.2777,
264
+ "num_input_tokens_seen": 3760976,
265
+ "step": 160
266
+ },
267
+ {
268
+ "epoch": 1.5529411764705883,
269
+ "grad_norm": 0.6970705389976501,
270
+ "learning_rate": 5.822455554065217e-06,
271
+ "loss": 0.2766,
272
+ "num_input_tokens_seen": 3880608,
273
+ "step": 165
274
+ },
275
+ {
276
+ "epoch": 1.6,
277
+ "grad_norm": 0.7649534344673157,
278
+ "learning_rate": 4.687828049857967e-06,
279
+ "loss": 0.2599,
280
+ "num_input_tokens_seen": 3993216,
281
+ "step": 170
282
+ },
283
+ {
284
+ "epoch": 1.6470588235294117,
285
+ "grad_norm": 0.6839666366577148,
286
+ "learning_rate": 3.6646622551801345e-06,
287
+ "loss": 0.2535,
288
+ "num_input_tokens_seen": 4111136,
289
+ "step": 175
290
+ },
291
+ {
292
+ "epoch": 1.6941176470588235,
293
+ "grad_norm": 0.7336522340774536,
294
+ "learning_rate": 2.75857272513132e-06,
295
+ "loss": 0.2741,
296
+ "num_input_tokens_seen": 4229136,
297
+ "step": 180
298
+ },
299
+ {
300
+ "epoch": 1.7411764705882353,
301
+ "grad_norm": 0.6339069604873657,
302
+ "learning_rate": 1.9745315664982276e-06,
303
+ "loss": 0.2601,
304
+ "num_input_tokens_seen": 4344928,
305
+ "step": 185
306
+ },
307
+ {
308
+ "epoch": 1.788235294117647,
309
+ "grad_norm": 0.6466521620750427,
310
+ "learning_rate": 1.3168411536452152e-06,
311
+ "loss": 0.2536,
312
+ "num_input_tokens_seen": 4462192,
313
+ "step": 190
314
+ },
315
+ {
316
+ "epoch": 1.835294117647059,
317
+ "grad_norm": 0.7034646272659302,
318
+ "learning_rate": 7.891105195175358e-07,
319
+ "loss": 0.2678,
320
+ "num_input_tokens_seen": 4584528,
321
+ "step": 195
322
+ },
323
+ {
324
+ "epoch": 1.8823529411764706,
325
+ "grad_norm": 0.6738657355308533,
326
+ "learning_rate": 3.9423555131007925e-07,
327
+ "loss": 0.2693,
328
+ "num_input_tokens_seen": 4701808,
329
+ "step": 200
330
+ },
331
+ {
332
+ "epoch": 1.9294117647058824,
333
+ "grad_norm": 0.6806563138961792,
334
+ "learning_rate": 1.343830994765982e-07,
335
+ "loss": 0.2545,
336
+ "num_input_tokens_seen": 4817760,
337
+ "step": 205
338
+ },
339
+ {
340
+ "epoch": 1.9764705882352942,
341
+ "grad_norm": 0.7523545622825623,
342
+ "learning_rate": 1.0979087280141298e-08,
343
+ "loss": 0.2693,
344
+ "num_input_tokens_seen": 4932544,
345
+ "step": 210
346
+ },
347
+ {
348
+ "epoch": 1.9952941176470587,
349
+ "num_input_tokens_seen": 4979584,
350
+ "step": 212,
351
+ "total_flos": 2.1307535061837414e+17,
352
+ "train_loss": 0.32363298928962564,
353
+ "train_runtime": 2717.673,
354
+ "train_samples_per_second": 2.502,
355
+ "train_steps_per_second": 0.078
356
+ }
357
+ ],
358
+ "logging_steps": 5,
359
+ "max_steps": 212,
360
+ "num_input_tokens_seen": 4979584,
361
+ "num_train_epochs": 2,
362
+ "save_steps": 100,
363
+ "stateful_callbacks": {
364
+ "TrainerControl": {
365
+ "args": {
366
+ "should_epoch_stop": false,
367
+ "should_evaluate": false,
368
+ "should_log": false,
369
+ "should_save": true,
370
+ "should_training_stop": false
371
+ },
372
+ "attributes": {}
373
+ }
374
+ },
375
+ "total_flos": 2.1307535061837414e+17,
376
+ "train_batch_size": 2,
377
+ "trial_name": null,
378
+ "trial_params": null
379
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9b756682dac33fa96aa9a3cb010372665a10b319959da8609624d1a35f17f82a
3
+ size 5304
training_args.yaml ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ cutoff_len: 4096
2
+ dataset: claimver_kgllm
3
+ dataset_dir: data
4
+ ddp_timeout: 180000000
5
+ do_train: true
6
+ finetuning_type: lora
7
+ flash_attn: auto
8
+ fp16: true
9
+ gradient_accumulation_steps: 8
10
+ include_num_input_tokens_seen: true
11
+ learning_rate: 5.0e-05
12
+ logging_steps: 5
13
+ lora_alpha: 16
14
+ lora_dropout: 0
15
+ lora_rank: 8
16
+ lora_target: all
17
+ lr_scheduler_type: cosine
18
+ max_grad_norm: 1.0
19
+ max_samples: 100000
20
+ model_name_or_path: HuggingFaceH4/zephyr-7b-beta
21
+ num_train_epochs: 2.0
22
+ optim: adamw_torch
23
+ output_dir: saves/Zephyr-7B-Beta-Chat/lora/zerphy7b-chat_claimver_run2
24
+ packing: false
25
+ per_device_train_batch_size: 2
26
+ plot_loss: true
27
+ preprocessing_num_workers: 16
28
+ quantization_bit: 4
29
+ report_to: none
30
+ save_steps: 100
31
+ stage: sft
32
+ template: zephyr
33
+ warmup_steps: 0