todenthal commited on
Commit
3394e52
1 Parent(s): 0276e10

Initial commit of the model

Browse files
README.md ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ library_name: peft
4
+ tags:
5
+ - alignment-handbook
6
+ - trl
7
+ - sft
8
+ - generated_from_trainer
9
+ base_model: mistralai/Mistral-7B-Instruct-v0.2
10
+ datasets:
11
+ - arcee-ai/Zilo-Filtered-SQL-Instruct-v2
12
+ model-index:
13
+ - name: zilo-instruct-v2-sft-qlora
14
+ results: []
15
+ ---
16
+
17
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
18
+ should probably proofread and complete it, then remove this comment. -->
19
+
20
+ # zilo-instruct-v2-sft-qlora
21
+
22
+ This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the arcee-ai/Zilo-Filtered-SQL-Instruct-v2 dataset.
23
+ It achieves the following results on the evaluation set:
24
+ - Loss: 0.6246
25
+
26
+ ## Model description
27
+
28
+ More information needed
29
+
30
+ ## Intended uses & limitations
31
+
32
+ More information needed
33
+
34
+ ## Training and evaluation data
35
+
36
+ More information needed
37
+
38
+ ## Training procedure
39
+
40
+ ### Training hyperparameters
41
+
42
+ The following hyperparameters were used during training:
43
+ - learning_rate: 2e-05
44
+ - train_batch_size: 4
45
+ - eval_batch_size: 8
46
+ - seed: 42
47
+ - distributed_type: multi-GPU
48
+ - gradient_accumulation_steps: 2
49
+ - total_train_batch_size: 8
50
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
51
+ - lr_scheduler_type: cosine
52
+ - lr_scheduler_warmup_ratio: 0.1
53
+ - num_epochs: 3
54
+
55
+ ### Training results
56
+
57
+ | Training Loss | Epoch | Step | Validation Loss |
58
+ |:-------------:|:------:|:----:|:---------------:|
59
+ | 0.7588 | 0.9899 | 49 | 0.7386 |
60
+ | 0.6201 | 2.0 | 99 | 0.6307 |
61
+ | 0.6087 | 2.9697 | 147 | 0.6246 |
62
+
63
+
64
+ ### Framework versions
65
+
66
+ - PEFT 0.11.1
67
+ - Transformers 4.41.1
68
+ - Pytorch 2.3.0+cu121
69
+ - Datasets 2.19.1
70
+ - Tokenizers 0.19.1
adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
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": 0.05,
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
+ "up_proj",
25
+ "q_proj",
26
+ "v_proj",
27
+ "gate_proj",
28
+ "down_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:e1a7c5ba3953bb0b3141884f066d930329b6e5947c0a580e0ee9b4f54c973f98
3
+ size 83946192
all_results.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.9696969696969697,
3
+ "eval_loss": 0.6245681643486023,
4
+ "eval_runtime": 17.323,
5
+ "eval_samples": 1371,
6
+ "eval_samples_per_second": 2.482,
7
+ "eval_steps_per_second": 0.346,
8
+ "total_flos": 2.0566538541072384e+17,
9
+ "train_loss": 0.7671454966473742,
10
+ "train_runtime": 1686.4021,
11
+ "train_samples": 12338,
12
+ "train_samples_per_second": 0.699,
13
+ "train_steps_per_second": 0.087
14
+ }
config.json ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
3
+ "architectures": [
4
+ "MistralForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 1,
8
+ "eos_token_id": 2,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 4096,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 14336,
13
+ "max_position_embeddings": 32768,
14
+ "model_type": "mistral",
15
+ "num_attention_heads": 32,
16
+ "num_hidden_layers": 32,
17
+ "num_key_value_heads": 8,
18
+ "quantization_config": {
19
+ "_load_in_4bit": true,
20
+ "_load_in_8bit": false,
21
+ "bnb_4bit_compute_dtype": "bfloat16",
22
+ "bnb_4bit_quant_storage": "uint8",
23
+ "bnb_4bit_quant_type": "nf4",
24
+ "bnb_4bit_use_double_quant": false,
25
+ "llm_int8_enable_fp32_cpu_offload": false,
26
+ "llm_int8_has_fp16_weight": false,
27
+ "llm_int8_skip_modules": null,
28
+ "llm_int8_threshold": 6.0,
29
+ "load_in_4bit": true,
30
+ "load_in_8bit": false,
31
+ "quant_method": "bitsandbytes"
32
+ },
33
+ "rms_norm_eps": 1e-05,
34
+ "rope_theta": 1000000.0,
35
+ "sliding_window": null,
36
+ "tie_word_embeddings": false,
37
+ "torch_dtype": "bfloat16",
38
+ "transformers_version": "4.41.1",
39
+ "use_cache": true,
40
+ "vocab_size": 32000
41
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.9696969696969697,
3
+ "eval_loss": 0.6245681643486023,
4
+ "eval_runtime": 17.323,
5
+ "eval_samples": 1371,
6
+ "eval_samples_per_second": 2.482,
7
+ "eval_steps_per_second": 0.346
8
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": "</s>",
17
+ "unk_token": {
18
+ "content": "<unk>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
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 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "bos_token": "<s>",
32
+ "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
33
+ "clean_up_tokenization_spaces": false,
34
+ "eos_token": "</s>",
35
+ "legacy": true,
36
+ "model_max_length": 2048,
37
+ "pad_token": "</s>",
38
+ "sp_model_kwargs": {},
39
+ "spaces_between_special_tokens": false,
40
+ "tokenizer_class": "LlamaTokenizer",
41
+ "unk_token": "<unk>",
42
+ "use_default_system_prompt": false
43
+ }
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.9696969696969697,
3
+ "total_flos": 2.0566538541072384e+17,
4
+ "train_loss": 0.7671454966473742,
5
+ "train_runtime": 1686.4021,
6
+ "train_samples": 12338,
7
+ "train_samples_per_second": 0.699,
8
+ "train_steps_per_second": 0.087
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,276 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.9696969696969697,
5
+ "eval_steps": 500,
6
+ "global_step": 147,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.020202020202020204,
13
+ "grad_norm": 2.578125,
14
+ "learning_rate": 1.3333333333333334e-06,
15
+ "loss": 1.5448,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.10101010101010101,
20
+ "grad_norm": 2.546875,
21
+ "learning_rate": 6.666666666666667e-06,
22
+ "loss": 1.5503,
23
+ "step": 5
24
+ },
25
+ {
26
+ "epoch": 0.20202020202020202,
27
+ "grad_norm": 2.390625,
28
+ "learning_rate": 1.3333333333333333e-05,
29
+ "loss": 1.469,
30
+ "step": 10
31
+ },
32
+ {
33
+ "epoch": 0.30303030303030304,
34
+ "grad_norm": 1.65625,
35
+ "learning_rate": 2e-05,
36
+ "loss": 1.2465,
37
+ "step": 15
38
+ },
39
+ {
40
+ "epoch": 0.40404040404040403,
41
+ "grad_norm": 1.203125,
42
+ "learning_rate": 1.9929278846732883e-05,
43
+ "loss": 1.0305,
44
+ "step": 20
45
+ },
46
+ {
47
+ "epoch": 0.5050505050505051,
48
+ "grad_norm": 0.953125,
49
+ "learning_rate": 1.9718115683235418e-05,
50
+ "loss": 0.9205,
51
+ "step": 25
52
+ },
53
+ {
54
+ "epoch": 0.6060606060606061,
55
+ "grad_norm": 0.609375,
56
+ "learning_rate": 1.936949724999762e-05,
57
+ "loss": 0.8521,
58
+ "step": 30
59
+ },
60
+ {
61
+ "epoch": 0.7070707070707071,
62
+ "grad_norm": 0.48046875,
63
+ "learning_rate": 1.8888354486549238e-05,
64
+ "loss": 0.8354,
65
+ "step": 35
66
+ },
67
+ {
68
+ "epoch": 0.8080808080808081,
69
+ "grad_norm": 0.478515625,
70
+ "learning_rate": 1.8281492787113707e-05,
71
+ "loss": 0.7916,
72
+ "step": 40
73
+ },
74
+ {
75
+ "epoch": 0.9090909090909091,
76
+ "grad_norm": 0.46484375,
77
+ "learning_rate": 1.7557495743542586e-05,
78
+ "loss": 0.7588,
79
+ "step": 45
80
+ },
81
+ {
82
+ "epoch": 0.98989898989899,
83
+ "eval_loss": 0.7386298179626465,
84
+ "eval_runtime": 17.3037,
85
+ "eval_samples_per_second": 2.485,
86
+ "eval_steps_per_second": 0.347,
87
+ "step": 49
88
+ },
89
+ {
90
+ "epoch": 1.0101010101010102,
91
+ "grad_norm": 0.5390625,
92
+ "learning_rate": 1.6726603737012527e-05,
93
+ "loss": 0.7461,
94
+ "step": 50
95
+ },
96
+ {
97
+ "epoch": 1.1111111111111112,
98
+ "grad_norm": 0.5078125,
99
+ "learning_rate": 1.5800569095711983e-05,
100
+ "loss": 0.715,
101
+ "step": 55
102
+ },
103
+ {
104
+ "epoch": 1.2121212121212122,
105
+ "grad_norm": 0.3046875,
106
+ "learning_rate": 1.479248986720057e-05,
107
+ "loss": 0.6996,
108
+ "step": 60
109
+ },
110
+ {
111
+ "epoch": 1.3131313131313131,
112
+ "grad_norm": 0.28125,
113
+ "learning_rate": 1.3716624556603275e-05,
114
+ "loss": 0.6809,
115
+ "step": 65
116
+ },
117
+ {
118
+ "epoch": 1.4141414141414141,
119
+ "grad_norm": 0.318359375,
120
+ "learning_rate": 1.2588190451025209e-05,
121
+ "loss": 0.6585,
122
+ "step": 70
123
+ },
124
+ {
125
+ "epoch": 1.5151515151515151,
126
+ "grad_norm": 0.2255859375,
127
+ "learning_rate": 1.1423148382732854e-05,
128
+ "loss": 0.6599,
129
+ "step": 75
130
+ },
131
+ {
132
+ "epoch": 1.6161616161616161,
133
+ "grad_norm": 0.2431640625,
134
+ "learning_rate": 1.0237976975461074e-05,
135
+ "loss": 0.646,
136
+ "step": 80
137
+ },
138
+ {
139
+ "epoch": 1.7171717171717171,
140
+ "grad_norm": 0.203125,
141
+ "learning_rate": 9.049439566958176e-06,
142
+ "loss": 0.6349,
143
+ "step": 85
144
+ },
145
+ {
146
+ "epoch": 1.8181818181818183,
147
+ "grad_norm": 0.2392578125,
148
+ "learning_rate": 7.874347104470234e-06,
149
+ "loss": 0.6352,
150
+ "step": 90
151
+ },
152
+ {
153
+ "epoch": 1.9191919191919191,
154
+ "grad_norm": 0.2060546875,
155
+ "learning_rate": 6.729320366825785e-06,
156
+ "loss": 0.6201,
157
+ "step": 95
158
+ },
159
+ {
160
+ "epoch": 2.0,
161
+ "eval_loss": 0.6306869983673096,
162
+ "eval_runtime": 17.31,
163
+ "eval_samples_per_second": 2.484,
164
+ "eval_steps_per_second": 0.347,
165
+ "step": 99
166
+ },
167
+ {
168
+ "epoch": 2.0202020202020203,
169
+ "grad_norm": 0.2001953125,
170
+ "learning_rate": 5.630554876306407e-06,
171
+ "loss": 0.6233,
172
+ "step": 100
173
+ },
174
+ {
175
+ "epoch": 2.121212121212121,
176
+ "grad_norm": 0.2021484375,
177
+ "learning_rate": 4.593591825444028e-06,
178
+ "loss": 0.6138,
179
+ "step": 105
180
+ },
181
+ {
182
+ "epoch": 2.2222222222222223,
183
+ "grad_norm": 0.2275390625,
184
+ "learning_rate": 3.633098258809119e-06,
185
+ "loss": 0.6218,
186
+ "step": 110
187
+ },
188
+ {
189
+ "epoch": 2.323232323232323,
190
+ "grad_norm": 0.2021484375,
191
+ "learning_rate": 2.7626596189492983e-06,
192
+ "loss": 0.6201,
193
+ "step": 115
194
+ },
195
+ {
196
+ "epoch": 2.4242424242424243,
197
+ "grad_norm": 0.19921875,
198
+ "learning_rate": 1.994587590756397e-06,
199
+ "loss": 0.6164,
200
+ "step": 120
201
+ },
202
+ {
203
+ "epoch": 2.525252525252525,
204
+ "grad_norm": 0.2041015625,
205
+ "learning_rate": 1.339745962155613e-06,
206
+ "loss": 0.6157,
207
+ "step": 125
208
+ },
209
+ {
210
+ "epoch": 2.6262626262626263,
211
+ "grad_norm": 0.216796875,
212
+ "learning_rate": 8.073969641833446e-07,
213
+ "loss": 0.6151,
214
+ "step": 130
215
+ },
216
+ {
217
+ "epoch": 2.7272727272727275,
218
+ "grad_norm": 0.267578125,
219
+ "learning_rate": 4.0507026385502747e-07,
220
+ "loss": 0.6097,
221
+ "step": 135
222
+ },
223
+ {
224
+ "epoch": 2.8282828282828283,
225
+ "grad_norm": 0.208984375,
226
+ "learning_rate": 1.3845646281813508e-07,
227
+ "loss": 0.617,
228
+ "step": 140
229
+ },
230
+ {
231
+ "epoch": 2.929292929292929,
232
+ "grad_norm": 0.1943359375,
233
+ "learning_rate": 1.1326608169920373e-08,
234
+ "loss": 0.6087,
235
+ "step": 145
236
+ },
237
+ {
238
+ "epoch": 2.9696969696969697,
239
+ "eval_loss": 0.6245681643486023,
240
+ "eval_runtime": 17.3067,
241
+ "eval_samples_per_second": 2.485,
242
+ "eval_steps_per_second": 0.347,
243
+ "step": 147
244
+ },
245
+ {
246
+ "epoch": 2.9696969696969697,
247
+ "step": 147,
248
+ "total_flos": 2.0566538541072384e+17,
249
+ "train_loss": 0.7671454966473742,
250
+ "train_runtime": 1686.4021,
251
+ "train_samples_per_second": 0.699,
252
+ "train_steps_per_second": 0.087
253
+ }
254
+ ],
255
+ "logging_steps": 5,
256
+ "max_steps": 147,
257
+ "num_input_tokens_seen": 0,
258
+ "num_train_epochs": 3,
259
+ "save_steps": 100,
260
+ "stateful_callbacks": {
261
+ "TrainerControl": {
262
+ "args": {
263
+ "should_epoch_stop": false,
264
+ "should_evaluate": false,
265
+ "should_log": false,
266
+ "should_save": true,
267
+ "should_training_stop": false
268
+ },
269
+ "attributes": {}
270
+ }
271
+ },
272
+ "total_flos": 2.0566538541072384e+17,
273
+ "train_batch_size": 4,
274
+ "trial_name": null,
275
+ "trial_params": null
276
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cd2997d6445ea8ca8ea9f3372dfb082e7bc361b6693cb87254b6355b6e847667
3
+ size 5176