Farouk commited on
Commit
fabc893
·
1 Parent(s): 1072970

Training in progress, step 200

Browse files
adapter_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "auto_mapping": null,
3
+ "base_model_name_or_path": "pankajmathur/orca_mini_v3_7b",
4
+ "bias": "none",
5
+ "fan_in_fan_out": false,
6
+ "inference_mode": true,
7
+ "init_lora_weights": true,
8
+ "layers_pattern": null,
9
+ "layers_to_transform": null,
10
+ "lora_alpha": 16.0,
11
+ "lora_dropout": 0.1,
12
+ "modules_to_save": null,
13
+ "peft_type": "LORA",
14
+ "r": 64,
15
+ "revision": null,
16
+ "target_modules": [
17
+ "v_proj",
18
+ "q_proj",
19
+ "up_proj",
20
+ "k_proj",
21
+ "down_proj",
22
+ "o_proj",
23
+ "gate_proj"
24
+ ],
25
+ "task_type": "CAUSAL_LM"
26
+ }
adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:38a4438e5345dd9c0b7b67f6299a503641b7bbf81cc78846156277b3cda40eeb
3
+ size 319977229
added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "[PAD]": 32000
3
+ }
checkpoint-200/README.md ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ ---
4
+ ## Training procedure
5
+
6
+
7
+ The following `bitsandbytes` quantization config was used during training:
8
+ - load_in_8bit: False
9
+ - load_in_4bit: True
10
+ - llm_int8_threshold: 6.0
11
+ - llm_int8_skip_modules: None
12
+ - llm_int8_enable_fp32_cpu_offload: False
13
+ - llm_int8_has_fp16_weight: False
14
+ - bnb_4bit_quant_type: nf4
15
+ - bnb_4bit_use_double_quant: True
16
+ - bnb_4bit_compute_dtype: bfloat16
17
+ ### Framework versions
18
+
19
+
20
+ - PEFT 0.4.0
checkpoint-200/adapter_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "auto_mapping": null,
3
+ "base_model_name_or_path": "pankajmathur/orca_mini_v3_7b",
4
+ "bias": "none",
5
+ "fan_in_fan_out": false,
6
+ "inference_mode": true,
7
+ "init_lora_weights": true,
8
+ "layers_pattern": null,
9
+ "layers_to_transform": null,
10
+ "lora_alpha": 16.0,
11
+ "lora_dropout": 0.1,
12
+ "modules_to_save": null,
13
+ "peft_type": "LORA",
14
+ "r": 64,
15
+ "revision": null,
16
+ "target_modules": [
17
+ "v_proj",
18
+ "q_proj",
19
+ "up_proj",
20
+ "k_proj",
21
+ "down_proj",
22
+ "o_proj",
23
+ "gate_proj"
24
+ ],
25
+ "task_type": "CAUSAL_LM"
26
+ }
checkpoint-200/adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:38a4438e5345dd9c0b7b67f6299a503641b7bbf81cc78846156277b3cda40eeb
3
+ size 319977229
checkpoint-200/added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "[PAD]": 32000
3
+ }
checkpoint-200/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7be805900e6be70d9fb83f86fdb6ec612709f85b074aa6f8424aeef7fb1b5d0d
3
+ size 1279539525
checkpoint-200/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a3ed6a75216aa8babe84efd665385b350dcc10c2000f8ff85f8213581fe947b8
3
+ size 14511
checkpoint-200/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7aa2c8b84e17817e6a4dcba5955fca913e266fdcd47f5594a29933ebd4972a01
3
+ size 627
checkpoint-200/special_tokens_map.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": "<s>",
3
+ "eos_token": "</s>",
4
+ "pad_token": "[PAD]",
5
+ "unk_token": "<unk>"
6
+ }
checkpoint-200/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
checkpoint-200/tokenizer_config.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "bos_token": {
5
+ "__type": "AddedToken",
6
+ "content": "<s>",
7
+ "lstrip": false,
8
+ "normalized": true,
9
+ "rstrip": false,
10
+ "single_word": false
11
+ },
12
+ "clean_up_tokenization_spaces": false,
13
+ "eos_token": {
14
+ "__type": "AddedToken",
15
+ "content": "</s>",
16
+ "lstrip": false,
17
+ "normalized": true,
18
+ "rstrip": false,
19
+ "single_word": false
20
+ },
21
+ "legacy": true,
22
+ "model_max_length": 4096,
23
+ "pad_token": null,
24
+ "padding_side": "right",
25
+ "sp_model_kwargs": {},
26
+ "tokenizer_class": "LlamaTokenizer",
27
+ "unk_token": {
28
+ "__type": "AddedToken",
29
+ "content": "<unk>",
30
+ "lstrip": false,
31
+ "normalized": true,
32
+ "rstrip": false,
33
+ "single_word": false
34
+ }
35
+ }
checkpoint-200/trainer_state.json ADDED
@@ -0,0 +1,207 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.8343863487243652,
3
+ "best_model_checkpoint": "experts/expert-0/checkpoint-200",
4
+ "epoch": 0.07175531437797111,
5
+ "global_step": 200,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.0,
12
+ "learning_rate": 0.0002,
13
+ "loss": 0.9478,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.01,
18
+ "learning_rate": 0.0002,
19
+ "loss": 0.8925,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.01,
24
+ "learning_rate": 0.0002,
25
+ "loss": 0.9028,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.01,
30
+ "learning_rate": 0.0002,
31
+ "loss": 0.8606,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.02,
36
+ "learning_rate": 0.0002,
37
+ "loss": 0.9295,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.02,
42
+ "learning_rate": 0.0002,
43
+ "loss": 0.9049,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.03,
48
+ "learning_rate": 0.0002,
49
+ "loss": 0.8361,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.03,
54
+ "learning_rate": 0.0002,
55
+ "loss": 0.8492,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.03,
60
+ "learning_rate": 0.0002,
61
+ "loss": 0.8251,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 0.04,
66
+ "learning_rate": 0.0002,
67
+ "loss": 0.8576,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 0.04,
72
+ "learning_rate": 0.0002,
73
+ "loss": 0.7906,
74
+ "step": 110
75
+ },
76
+ {
77
+ "epoch": 0.04,
78
+ "learning_rate": 0.0002,
79
+ "loss": 0.8599,
80
+ "step": 120
81
+ },
82
+ {
83
+ "epoch": 0.05,
84
+ "learning_rate": 0.0002,
85
+ "loss": 0.8079,
86
+ "step": 130
87
+ },
88
+ {
89
+ "epoch": 0.05,
90
+ "learning_rate": 0.0002,
91
+ "loss": 0.8672,
92
+ "step": 140
93
+ },
94
+ {
95
+ "epoch": 0.05,
96
+ "learning_rate": 0.0002,
97
+ "loss": 0.8222,
98
+ "step": 150
99
+ },
100
+ {
101
+ "epoch": 0.06,
102
+ "learning_rate": 0.0002,
103
+ "loss": 0.8248,
104
+ "step": 160
105
+ },
106
+ {
107
+ "epoch": 0.06,
108
+ "learning_rate": 0.0002,
109
+ "loss": 0.9017,
110
+ "step": 170
111
+ },
112
+ {
113
+ "epoch": 0.06,
114
+ "learning_rate": 0.0002,
115
+ "loss": 0.8596,
116
+ "step": 180
117
+ },
118
+ {
119
+ "epoch": 0.07,
120
+ "learning_rate": 0.0002,
121
+ "loss": 0.8714,
122
+ "step": 190
123
+ },
124
+ {
125
+ "epoch": 0.07,
126
+ "learning_rate": 0.0002,
127
+ "loss": 0.8737,
128
+ "step": 200
129
+ },
130
+ {
131
+ "epoch": 0.07,
132
+ "eval_loss": 0.8343863487243652,
133
+ "eval_runtime": 86.193,
134
+ "eval_samples_per_second": 11.602,
135
+ "eval_steps_per_second": 5.801,
136
+ "step": 200
137
+ },
138
+ {
139
+ "epoch": 0.07,
140
+ "mmlu_eval_accuracy": 0.48061337229293305,
141
+ "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
142
+ "mmlu_eval_accuracy_anatomy": 0.6428571428571429,
143
+ "mmlu_eval_accuracy_astronomy": 0.4375,
144
+ "mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
145
+ "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655,
146
+ "mmlu_eval_accuracy_college_biology": 0.4375,
147
+ "mmlu_eval_accuracy_college_chemistry": 0.25,
148
+ "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727,
149
+ "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
150
+ "mmlu_eval_accuracy_college_medicine": 0.36363636363636365,
151
+ "mmlu_eval_accuracy_college_physics": 0.45454545454545453,
152
+ "mmlu_eval_accuracy_computer_security": 0.36363636363636365,
153
+ "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464,
154
+ "mmlu_eval_accuracy_econometrics": 0.16666666666666666,
155
+ "mmlu_eval_accuracy_electrical_engineering": 0.25,
156
+ "mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073,
157
+ "mmlu_eval_accuracy_formal_logic": 0.14285714285714285,
158
+ "mmlu_eval_accuracy_global_facts": 0.5,
159
+ "mmlu_eval_accuracy_high_school_biology": 0.375,
160
+ "mmlu_eval_accuracy_high_school_chemistry": 0.18181818181818182,
161
+ "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
162
+ "mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556,
163
+ "mmlu_eval_accuracy_high_school_geography": 0.9090909090909091,
164
+ "mmlu_eval_accuracy_high_school_government_and_politics": 0.5714285714285714,
165
+ "mmlu_eval_accuracy_high_school_macroeconomics": 0.46511627906976744,
166
+ "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793,
167
+ "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156,
168
+ "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941,
169
+ "mmlu_eval_accuracy_high_school_psychology": 0.8833333333333333,
170
+ "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654,
171
+ "mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
172
+ "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923,
173
+ "mmlu_eval_accuracy_human_aging": 0.6521739130434783,
174
+ "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
175
+ "mmlu_eval_accuracy_international_law": 0.9230769230769231,
176
+ "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
177
+ "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666,
178
+ "mmlu_eval_accuracy_machine_learning": 0.18181818181818182,
179
+ "mmlu_eval_accuracy_management": 0.6363636363636364,
180
+ "mmlu_eval_accuracy_marketing": 0.92,
181
+ "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
182
+ "mmlu_eval_accuracy_miscellaneous": 0.6744186046511628,
183
+ "mmlu_eval_accuracy_moral_disputes": 0.5,
184
+ "mmlu_eval_accuracy_moral_scenarios": 0.22,
185
+ "mmlu_eval_accuracy_nutrition": 0.6060606060606061,
186
+ "mmlu_eval_accuracy_philosophy": 0.4411764705882353,
187
+ "mmlu_eval_accuracy_prehistory": 0.4857142857142857,
188
+ "mmlu_eval_accuracy_professional_accounting": 0.3548387096774194,
189
+ "mmlu_eval_accuracy_professional_law": 0.3176470588235294,
190
+ "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935,
191
+ "mmlu_eval_accuracy_professional_psychology": 0.5072463768115942,
192
+ "mmlu_eval_accuracy_public_relations": 0.6666666666666666,
193
+ "mmlu_eval_accuracy_security_studies": 0.4444444444444444,
194
+ "mmlu_eval_accuracy_sociology": 0.7272727272727273,
195
+ "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364,
196
+ "mmlu_eval_accuracy_virology": 0.5555555555555556,
197
+ "mmlu_eval_accuracy_world_religions": 0.6842105263157895,
198
+ "mmlu_loss": 1.4117222026029392,
199
+ "step": 200
200
+ }
201
+ ],
202
+ "max_steps": 10000,
203
+ "num_train_epochs": 4,
204
+ "total_flos": 4.603023812768563e+16,
205
+ "trial_name": null,
206
+ "trial_params": null
207
+ }
checkpoint-200/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c9874cb44496df17f18895492102c07eca04527d6d0ba92aeb9ab28d30e98705
3
+ size 5819
special_tokens_map.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": "<s>",
3
+ "eos_token": "</s>",
4
+ "pad_token": "[PAD]",
5
+ "unk_token": "<unk>"
6
+ }
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
tokenizer_config.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "bos_token": {
5
+ "__type": "AddedToken",
6
+ "content": "<s>",
7
+ "lstrip": false,
8
+ "normalized": true,
9
+ "rstrip": false,
10
+ "single_word": false
11
+ },
12
+ "clean_up_tokenization_spaces": false,
13
+ "eos_token": {
14
+ "__type": "AddedToken",
15
+ "content": "</s>",
16
+ "lstrip": false,
17
+ "normalized": true,
18
+ "rstrip": false,
19
+ "single_word": false
20
+ },
21
+ "legacy": true,
22
+ "model_max_length": 4096,
23
+ "pad_token": null,
24
+ "padding_side": "right",
25
+ "sp_model_kwargs": {},
26
+ "tokenizer_class": "LlamaTokenizer",
27
+ "unk_token": {
28
+ "__type": "AddedToken",
29
+ "content": "<unk>",
30
+ "lstrip": false,
31
+ "normalized": true,
32
+ "rstrip": false,
33
+ "single_word": false
34
+ }
35
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c9874cb44496df17f18895492102c07eca04527d6d0ba92aeb9ab28d30e98705
3
+ size 5819