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text2sql-llama1b-cot-lr2e-4-l8

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lora
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164
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166
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168
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169
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170
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171
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172
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174
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175
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176
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177
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178
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179
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180
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181
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182
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183
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184
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185
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186
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187
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188
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189
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190
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191
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192
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193
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194
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195
+ {"time":"2026-06-18T13:40:59.476138+05:30","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
196
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197
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198
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199
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200
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201
+ {"time":"2026-06-18T13:41:44.599441+05:30","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
202
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203
+ {"time":"2026-06-18T13:41:59.599002+05:30","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
204
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205
+ {"time":"2026-06-18T13:42:14.551382+05:30","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
206
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207
+ {"time":"2026-06-18T13:42:29.572198+05:30","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
208
+ {"time":"2026-06-18T13:42:36.591306+05:30","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
209
+ {"time":"2026-06-18T13:42:36.592005+05:30","level":"INFO","msg":"filestream: sending request","total_files":3,"history_offset":33,"history_lines":3,"console_offset":48,"console_lines":5,"uploaded_len":3,"complete":true,"exit_code":0}
210
+ {"time":"2026-06-18T13:42:36.984132+05:30","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
211
+ {"time":"2026-06-18T13:42:36.98425+05:30","level":"INFO","msg":"stream: finishing up"}
212
+ {"time":"2026-06-18T13:42:36.984268+05:30","level":"INFO","msg":"handler: closed"}
213
+ {"time":"2026-06-18T13:42:36.984343+05:30","level":"INFO","msg":"sender: closed"}
214
+ {"time":"2026-06-18T13:42:36.984353+05:30","level":"INFO","msg":"stream: all finished"}
wandb/debug.log ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 2026-06-18 13:17:42,619 INFO MainThread:75094 [wandb_setup.py:_flush():81] Current SDK version is 0.27.2
2
+ 2026-06-18 13:17:42,619 INFO MainThread:75094 [wandb_setup.py:_flush():81] Configure stats pid to 75094
3
+ 2026-06-18 13:17:42,619 INFO MainThread:75094 [wandb_setup.py:_flush():81] Loading settings from environment variables
4
+ 2026-06-18 13:17:42,619 INFO MainThread:75094 [wandb_init.py:setup_run_log_directory():723] Logging user logs to adapters_sweep/cot_lr2e-4_L8/wandb/run-20260618_131742-6kjjno96/logs/debug.log
5
+ 2026-06-18 13:17:42,619 INFO MainThread:75094 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to adapters_sweep/cot_lr2e-4_L8/wandb/run-20260618_131742-6kjjno96/logs/debug-internal.log
6
+ 2026-06-18 13:17:42,619 INFO MainThread:75094 [wandb_init.py:init():766] calling init triggers
7
+ 2026-06-18 13:17:42,619 INFO MainThread:75094 [wandb_init.py:init():771] wandb.init called with sweep_config: {}
8
+ config: {'model': 'mlx-community/Llama-3.2-1B-Instruct-bf16', 'train': True, 'data': 'data/mlx_cot', 'fine_tune_type': 'lora', 'optimizer': 'adam', 'mask_prompt': True, 'num_layers': 8, 'batch_size': 2, 'iters': 1500, 'val_batches': 25, 'learning_rate': 0.0002, 'steps_per_report': 50, 'steps_per_eval': 300, 'grad_accumulation_steps': 1, 'resume_adapter_file': None, 'adapter_path': 'adapters_sweep/cot_lr2e-4_L8', 'save_every': 500, 'test': False, 'test_batches': 500, 'max_seq_length': 2048, 'config': None, 'grad_checkpoint': True, 'clear_cache_threshold': 0, 'report_to': 'wandb', 'project_name': 'text2sql-qwen-coder', 'seed': 0, 'optimizer_config': {'adam': {}, 'adamw': {}, 'muon': {}, 'sgd': {}, 'adafactor': {}}, 'lr_schedule': None, 'lora_parameters': {'rank': 8, 'dropout': 0.0, 'scale': 20.0}, '_wandb': {}}
9
+ 2026-06-18 13:17:42,619 INFO MainThread:75094 [wandb_init.py:init():814] starting backend
10
+ 2026-06-18 13:17:42,620 INFO MainThread:75094 [wandb_init.py:init():829] sending inform_init request
11
+ 2026-06-18 13:17:43,153 INFO MainThread:75094 [wandb_init.py:init():834] backend started and connected
12
+ 2026-06-18 13:17:43,155 INFO MainThread:75094 [wandb_init.py:init():904] updated telemetry
13
+ 2026-06-18 13:17:43,170 INFO MainThread:75094 [wandb_init.py:init():927] communicating run to backend with 90.0 second timeout
14
+ 2026-06-18 13:17:43,870 INFO MainThread:75094 [wandb_init.py:init():972] starting run threads in backend
15
+ 2026-06-18 13:17:43,957 INFO MainThread:75094 [wandb_run.py:_console_start():2523] atexit reg
16
+ 2026-06-18 13:17:43,957 INFO MainThread:75094 [wandb_run.py:_redirect():2373] redirect: wrap_raw
17
+ 2026-06-18 13:17:43,957 INFO MainThread:75094 [wandb_run.py:_redirect():2442] Wrapping output streams.
18
+ 2026-06-18 13:17:43,957 INFO MainThread:75094 [wandb_run.py:_redirect():2465] Redirects installed.
19
+ 2026-06-18 13:17:43,959 INFO MainThread:75094 [wandb_init.py:init():1010] run started, returning control to user process
20
+ 2026-06-18 13:42:34,613 INFO wandb-AsyncioManager-main:75094 [service_client.py:_forward_responses():122] [no run ID] Reached EOF.
21
+ 2026-06-18 13:42:34,613 INFO wandb-AsyncioManager-main:75094 [mailbox.py:close():154] [no run ID] Closing mailbox, abandoning 2 handles.
22
+ 2026-06-18 13:42:34,613 ERROR wandb-AsyncioManager-main:75094 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
23
+ Traceback (most recent call last):
24
+ File "/Users/apple/Documents/work/Kd-project/Insufficient_Tokens/W5_Fine_Tune/.venv/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
25
+ await fn()
26
+ File "/Users/apple/Documents/work/Kd-project/Insufficient_Tokens/W5_Fine_Tune/.venv/lib/python3.11/site-packages/wandb/sdk/lib/run_messages.py", line 90, in loop
27
+ await asyncio_compat.race(
28
+ File "/Users/apple/Documents/work/Kd-project/Insufficient_Tokens/W5_Fine_Tune/.venv/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_compat.py", line 278, in race
29
+ async with open_task_group(race=True) as tg:
30
+ File "/opt/homebrew/Cellar/python@3.11/3.11.15/Frameworks/Python.framework/Versions/3.11/lib/python3.11/contextlib.py", line 217, in __aexit__
31
+ await anext(self.gen)
32
+ File "/Users/apple/Documents/work/Kd-project/Insufficient_Tokens/W5_Fine_Tune/.venv/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_compat.py", line 240, in open_task_group
33
+ await task_group._wait_all(race=race, timeout=exit_timeout)
34
+ File "/Users/apple/Documents/work/Kd-project/Insufficient_Tokens/W5_Fine_Tune/.venv/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_compat.py", line 180, in _wait_all
35
+ raise exc
36
+ File "/Users/apple/Documents/work/Kd-project/Insufficient_Tokens/W5_Fine_Tune/.venv/lib/python3.11/site-packages/wandb/sdk/lib/run_messages.py", line 113, in _print_all
37
+ result = await handle.wait_async(timeout=None)
38
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
39
+ File "/Users/apple/Documents/work/Kd-project/Insufficient_Tokens/W5_Fine_Tune/.venv/lib/python3.11/site-packages/wandb/sdk/mailbox/mailbox_handle.py", line 127, in wait_async
40
+ response = await self._handle.wait_async(timeout=timeout)
41
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
42
+ File "/Users/apple/Documents/work/Kd-project/Insufficient_Tokens/W5_Fine_Tune/.venv/lib/python3.11/site-packages/wandb/sdk/mailbox/response_handle.py", line 123, in wait_async
43
+ raise HandleAbandonedError()
44
+ wandb.sdk.mailbox.mailbox_handle.HandleAbandonedError
wandb/run-20260618_131742-6kjjno96/files/config.yaml ADDED
@@ -0,0 +1,147 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ _wandb:
2
+ value:
3
+ cli_version: 0.27.2
4
+ e:
5
+ 2og4076kbgndqy512dklusm7nf2mfkx5:
6
+ apple:
7
+ ecpuCores: 6
8
+ gpuCores: 10
9
+ macModel: Mac16,1
10
+ memoryGb: 16
11
+ name: Apple M4
12
+ pcpuCores: 4
13
+ ramTotalBytes: "17179869184"
14
+ swapTotalBytes: "19327352832"
15
+ args:
16
+ - --model
17
+ - mlx-community/Llama-3.2-1B-Instruct-bf16
18
+ - --train
19
+ - --data
20
+ - data/mlx_cot
21
+ - --mask-prompt
22
+ - --batch-size
23
+ - "2"
24
+ - --num-layers
25
+ - "8"
26
+ - --iters
27
+ - "1500"
28
+ - --learning-rate
29
+ - "2e-4"
30
+ - --grad-checkpoint
31
+ - --adapter-path
32
+ - adapters_sweep/cot_lr2e-4_L8
33
+ - --steps-per-report
34
+ - "50"
35
+ - --steps-per-eval
36
+ - "300"
37
+ - --save-every
38
+ - "500"
39
+ - --report-to
40
+ - wandb
41
+ - --project-name
42
+ - text2sql-qwen-coder
43
+ codePath: W5_Fine_Tune/.venv/bin/mlx_lm.lora
44
+ codePathLocal: .venv/bin/mlx_lm.lora
45
+ cpu_count: 10
46
+ cpu_count_logical: 10
47
+ disk:
48
+ /:
49
+ total: "494384795648"
50
+ used: "335856775168"
51
+ email: yash.cse21@gmail.com
52
+ executable: /Users/apple/Documents/work/Kd-project/Insufficient_Tokens/W5_Fine_Tune/.venv/bin/python
53
+ git:
54
+ commit: 92b667b03aedc9f5b17c11ea9a6e56afa76bfd97
55
+ remote: git@github-office:yashagarwalkdu25/Insufficient_Tokens.git
56
+ host: Apples-MacBook-Pro.local
57
+ memory:
58
+ total: "17179869184"
59
+ os: macOS-26.5.1-arm64-arm-64bit
60
+ program: /Users/apple/Documents/work/Kd-project/Insufficient_Tokens/W5_Fine_Tune/.venv/bin/mlx_lm.lora
61
+ python: CPython 3.11.15
62
+ root: adapters_sweep/cot_lr2e-4_L8
63
+ startedAt: "2026-06-18T07:47:42.617620Z"
64
+ writerId: 2og4076kbgndqy512dklusm7nf2mfkx5
65
+ m: []
66
+ python_version: 3.11.15
67
+ t:
68
+ "1":
69
+ - 1
70
+ - 5
71
+ - 11
72
+ - 49
73
+ - 53
74
+ "2":
75
+ - 1
76
+ - 5
77
+ - 11
78
+ - 49
79
+ - 53
80
+ "3":
81
+ - 13
82
+ - 16
83
+ - 61
84
+ "4": 3.11.15
85
+ "5": 0.27.2
86
+ "6": 5.12.1
87
+ "12": 0.27.2
88
+ "13": darwin-arm64
89
+ adapter_path:
90
+ value: adapters_sweep/cot_lr2e-4_L8
91
+ batch_size:
92
+ value: 2
93
+ clear_cache_threshold:
94
+ value: 0
95
+ config:
96
+ value: null
97
+ data:
98
+ value: data/mlx_cot
99
+ fine_tune_type:
100
+ value: lora
101
+ grad_accumulation_steps:
102
+ value: 1
103
+ grad_checkpoint:
104
+ value: true
105
+ iters:
106
+ value: 1500
107
+ learning_rate:
108
+ value: 0.0002
109
+ lora_parameters:
110
+ value:
111
+ dropout: 0
112
+ rank: 8
113
+ scale: 20
114
+ lr_schedule:
115
+ value: null
116
+ mask_prompt:
117
+ value: true
118
+ max_seq_length:
119
+ value: 2048
120
+ model:
121
+ value: mlx-community/Llama-3.2-1B-Instruct-bf16
122
+ num_layers:
123
+ value: 8
124
+ optimizer:
125
+ value: adam
126
+ project_name:
127
+ value: text2sql-qwen-coder
128
+ report_to:
129
+ value: wandb
130
+ resume_adapter_file:
131
+ value: null
132
+ save_every:
133
+ value: 500
134
+ seed:
135
+ value: 0
136
+ steps_per_eval:
137
+ value: 300
138
+ steps_per_report:
139
+ value: 50
140
+ test:
141
+ value: false
142
+ test_batches:
143
+ value: 500
144
+ train:
145
+ value: true
146
+ val_batches:
147
+ value: 25
wandb/run-20260618_131742-6kjjno96/files/output.log ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Loading pretrained model
2
+ Fetching 6 files: 100%|██████████████████████████████████████████| 6/6 [00:00<00:00, 74235.47it/s]
3
+ Download complete: : 0.00B [00:00, ?B/s] | 0/6 [00:00<?, ?it/s]
4
+ Loading datasets
5
+ Training
6
+ Trainable parameters: 0.228% (2.818M/1235.814M)
7
+ Starting training..., iters: 1500
8
+ Calculating loss...: 100%|████████████████████████████████████████| 25/25 [00:13<00:00, 1.88it/s]
9
+ Iter 1: Val loss 2.200, Val took 13.345s
10
+ Iter 50: Train loss 5.395, Learning Rate 2.000e-04, It/sec 0.907, Tokens/sec 133.558, Trained Tokens 7361, Peak mem 3.344 GB
11
+ Iter 100: Train loss 6.399, Learning Rate 2.000e-04, It/sec 0.828, Tokens/sec 128.703, Trained Tokens 15129, Peak mem 3.571 GB
12
+ Iter 150: Train loss 5.803, Learning Rate 2.000e-04, It/sec 0.783, Tokens/sec 118.964, Trained Tokens 22724, Peak mem 3.571 GB
13
+ Iter 200: Train loss 5.621, Learning Rate 2.000e-04, It/sec 0.913, Tokens/sec 138.994, Trained Tokens 30333, Peak mem 3.571 GB
14
+ Iter 250: Train loss 5.373, Learning Rate 2.000e-04, It/sec 0.984, Tokens/sec 139.095, Trained Tokens 37399, Peak mem 3.571 GB
15
+ Calculating loss...: 100%|████████████████████████████████████████| 25/25 [00:11<00:00, 2.11it/s]
16
+ Iter 300: Val loss 5.258, Val took 11.848s
17
+ Iter 300: Train loss 5.325, Learning Rate 2.000e-04, It/sec 0.925, Tokens/sec 136.473, Trained Tokens 44777, Peak mem 3.571 GB
18
+ Iter 350: Train loss 4.940, Learning Rate 2.000e-04, It/sec 0.957, Tokens/sec 139.545, Trained Tokens 52068, Peak mem 3.571 GB
19
+ Iter 400: Train loss 4.577, Learning Rate 2.000e-04, It/sec 0.949, Tokens/sec 138.686, Trained Tokens 59377, Peak mem 3.571 GB
20
+ Iter 450: Train loss 4.347, Learning Rate 2.000e-04, It/sec 0.992, Tokens/sec 145.598, Trained Tokens 66715, Peak mem 3.571 GB
21
+ Iter 500: Train loss 4.061, Learning Rate 2.000e-04, It/sec 0.938, Tokens/sec 141.730, Trained Tokens 74266, Peak mem 3.571 GB
22
+ Iter 500: Saved adapter weights to adapters_sweep/cot_lr2e-4_L8/adapters.safetensors and adapters_sweep/cot_lr2e-4_L8/0000500_adapters.safetensors.
23
+ Iter 550: Train loss 3.642, Learning Rate 2.000e-04, It/sec 0.991, Tokens/sec 145.111, Trained Tokens 81587, Peak mem 3.571 GB
24
+ Calculating loss...: 100%|████████████████████████████████████████| 25/25 [00:11<00:00, 2.17it/s]
25
+ Iter 600: Val loss 2.932, Val took 11.507s
26
+ Iter 600: Train loss 3.197, Learning Rate 2.000e-04, It/sec 0.961, Tokens/sec 142.772, Trained Tokens 89012, Peak mem 3.571 GB
27
+ Iter 650: Train loss 2.787, Learning Rate 2.000e-04, It/sec 0.983, Tokens/sec 146.889, Trained Tokens 96481, Peak mem 3.571 GB
28
+ Iter 700: Train loss 2.821, Learning Rate 2.000e-04, It/sec 1.022, Tokens/sec 150.269, Trained Tokens 103831, Peak mem 3.571 GB
29
+ Iter 750: Train loss 2.530, Learning Rate 2.000e-04, It/sec 1.152, Tokens/sec 166.904, Trained Tokens 111072, Peak mem 3.571 GB
30
+ Iter 800: Train loss 2.469, Learning Rate 2.000e-04, It/sec 1.238, Tokens/sec 180.322, Trained Tokens 118352, Peak mem 3.571 GB
31
+ Iter 850: Train loss 2.304, Learning Rate 2.000e-04, It/sec 1.263, Tokens/sec 180.430, Trained Tokens 125494, Peak mem 3.571 GB
32
+ Calculating loss...: 100%|████████████████████████████████████████| 25/25 [00:09<00:00, 2.56it/s]
33
+ Iter 900: Val loss 2.462, Val took 9.769s
34
+ Iter 900: Train loss 2.526, Learning Rate 2.000e-04, It/sec 1.235, Tokens/sec 184.478, Trained Tokens 132964, Peak mem 3.571 GB
35
+ Iter 950: Train loss 2.422, Learning Rate 2.000e-04, It/sec 1.230, Tokens/sec 184.424, Trained Tokens 140459, Peak mem 3.571 GB
36
+ Iter 1000: Train loss 2.363, Learning Rate 2.000e-04, It/sec 1.262, Tokens/sec 183.609, Trained Tokens 147735, Peak mem 3.571 GB
37
+ Iter 1000: Saved adapter weights to adapters_sweep/cot_lr2e-4_L8/adapters.safetensors and adapters_sweep/cot_lr2e-4_L8/0001000_adapters.safetensors.
38
+ Iter 1050: Train loss 2.376, Learning Rate 2.000e-04, It/sec 1.234, Tokens/sec 181.975, Trained Tokens 155107, Peak mem 3.571 GB
39
+ Iter 1100: Train loss 2.310, Learning Rate 2.000e-04, It/sec 1.177, Tokens/sec 171.190, Trained Tokens 162381, Peak mem 3.571 GB
40
+ Iter 1150: Train loss 2.354, Learning Rate 2.000e-04, It/sec 1.173, Tokens/sec 177.404, Trained Tokens 169941, Peak mem 3.571 GB
41
+ Calculating loss...: 100%|████████████████████████████████████████| 25/25 [00:10<00:00, 2.45it/s]
42
+ Iter 1200: Val loss 2.126, Val took 10.212s
43
+ Iter 1200: Train loss 2.241, Learning Rate 2.000e-04, It/sec 1.140, Tokens/sec 168.149, Trained Tokens 177316, Peak mem 3.571 GB
44
+ Iter 1250: Train loss 2.069, Learning Rate 2.000e-04, It/sec 1.223, Tokens/sec 173.121, Trained Tokens 184394, Peak mem 3.571 GB
45
+ Iter 1300: Train loss 2.109, Learning Rate 2.000e-04, It/sec 1.162, Tokens/sec 170.788, Trained Tokens 191746, Peak mem 3.571 GB
46
+ Iter 1350: Train loss 2.020, Learning Rate 2.000e-04, It/sec 1.212, Tokens/sec 176.442, Trained Tokens 199024, Peak mem 3.571 GB
47
+ Iter 1400: Train loss 2.288, Learning Rate 2.000e-04, It/sec 1.170, Tokens/sec 173.482, Trained Tokens 206439, Peak mem 3.571 GB
48
+ Iter 1450: Train loss 2.117, Learning Rate 2.000e-04, It/sec 1.211, Tokens/sec 175.025, Trained Tokens 213666, Peak mem 3.571 GB
49
+ Calculating loss...: 100%|████████████████████████████████████████| 25/25 [00:13<00:00, 1.83it/s]
50
+ Iter 1500: Val loss 2.216, Val took 13.677s
51
+ Iter 1500: Train loss 2.194, Learning Rate 2.000e-04, It/sec 1.249, Tokens/sec 187.811, Trained Tokens 221182, Peak mem 3.571 GB
52
+ Iter 1500: Saved adapter weights to adapters_sweep/cot_lr2e-4_L8/adapters.safetensors and adapters_sweep/cot_lr2e-4_L8/0001500_adapters.safetensors.
53
+ Saved final weights to adapters_sweep/cot_lr2e-4_L8/adapters.safetensors.
wandb/run-20260618_131742-6kjjno96/files/requirements.txt ADDED
@@ -0,0 +1,231 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Flask==3.1.3
2
+ shellingham==1.5.4
3
+ fsspec==2026.4.0
4
+ hf-xet==1.5.1
5
+ cint==1.0.0
6
+ geventhttpclient==2.3.9
7
+ strictyaml==1.7.3
8
+ ml_dtypes==0.5.4
9
+ kaitaistruct==0.11
10
+ aiohappyeyeballs==2.6.2
11
+ opentelemetry-semantic-conventions==0.61b0
12
+ graphql-core==3.2.11
13
+ threadpoolctl==3.6.0
14
+ tritonclient==2.69.0
15
+ google-auth==2.55.0
16
+ text-unidecode==1.3
17
+ bcrypt==4.0.1
18
+ wcwidth==0.8.1
19
+ anyio==4.14.0
20
+ cloudpickle==3.1.2
21
+ transformers==5.12.1
22
+ sagemaker==3.13.1
23
+ kagglesdk==0.1.30
24
+ sagemaker-mlflow==0.4.0
25
+ torch==2.12.0
26
+ intervaltree==3.2.1
27
+ weave==0.52.43
28
+ starlette==0.49.3
29
+ multidict==6.7.1
30
+ nest-asyncio==1.6.0
31
+ tzdata==2026.2
32
+ polyfile-weave==0.5.9
33
+ setuptools==82.0.1
34
+ zope.interface==8.5
35
+ diskcache-weave==5.6.3.post1
36
+ traitlets==5.15.1
37
+ iniconfig==2.3.0
38
+ botocore==1.43.31
39
+ cryptography==48.0.1
40
+ mlflow==3.14.0
41
+ matplotlib==3.11.0
42
+ sentry-sdk==2.63.0
43
+ webencodings==0.5.1
44
+ mmh3==5.2.1
45
+ json5==0.14.0
46
+ Mako==1.3.12
47
+ jsonschema-specifications==2025.9.1
48
+ opentelemetry-exporter-otlp-proto-common==1.42.1
49
+ gql==4.0.0
50
+ mock==4.0.3
51
+ websockets==16.0
52
+ sagemaker-core==2.13.1
53
+ requests==2.34.2
54
+ pydantic==2.12.5
55
+ narwhals==2.22.1
56
+ opentelemetry-instrumentation-logging==0.61b0
57
+ yarl==1.24.2
58
+ mlx-lm==0.31.3
59
+ SQLAlchemy==2.0.51
60
+ rich==15.0.0
61
+ graphene==3.4.3
62
+ opentelemetry-api==1.40.0
63
+ orjson==3.11.9
64
+ PyMySQL==1.1.3
65
+ networkx==3.6.1
66
+ PyJWT==2.13.0
67
+ xxhash==3.7.0
68
+ scikit-learn==1.9.0
69
+ blinker==1.9.0
70
+ flask-cors==6.0.5
71
+ jsonschema==4.26.0
72
+ contourpy==1.3.3
73
+ invoke==3.0.3
74
+ ipinfo==5.6.0
75
+ propcache==0.5.2
76
+ tldextract==5.1.3
77
+ opentelemetry-exporter-otlp-proto-http==1.42.1
78
+ GitPython==3.1.50
79
+ onnx==1.22.0
80
+ pillow==12.2.0
81
+ kiwisolver==1.5.0
82
+ itsdangerous==2.2.0
83
+ pdfminer.six==20260107
84
+ packaging==26.2
85
+ cffi==2.0.0
86
+ pytz==2026.2
87
+ mlx==0.31.2
88
+ zstandard==0.25.0
89
+ numpy==2.4.6
90
+ googleapis-common-protos==1.75.0
91
+ cachebox==5.2.3
92
+ filelock==3.29.4
93
+ secure==1.0.1
94
+ SQLAlchemy-Utils==0.42.1
95
+ mdit-py-plugins==0.6.1
96
+ platformdirs==4.10.0
97
+ python-rapidjson==1.23
98
+ tenacity==9.1.4
99
+ aiohttp==3.14.1
100
+ croniter==6.2.2
101
+ httpcore==1.0.9
102
+ huggingface_hub==1.16.1
103
+ python-slugify==8.0.4
104
+ fastapi==0.120.4
105
+ fonttools==4.63.0
106
+ gevent==26.5.0
107
+ opentelemetry-sdk==1.40.0
108
+ opentelemetry-instrumentation==0.61b0
109
+ nbformat==5.10.4
110
+ requests-file==3.0.1
111
+ jmespath==1.1.0
112
+ sqlmodel==0.0.38
113
+ sympy==1.14.0
114
+ onnxruntime==1.27.0
115
+ gunicorn==26.0.0
116
+ passlib==1.7.4
117
+ prettytable==3.17.0
118
+ safetensors==0.8.0
119
+ wrapt==1.17.3
120
+ smdebug-rulesconfig==1.0.1
121
+ certifi==2026.6.17
122
+ httptools==0.8.0
123
+ graphql-relay==3.2.0
124
+ tqdm==4.68.3
125
+ python-dotenv==1.2.2
126
+ h11==0.16.0
127
+ protobuf==6.33.6
128
+ gitdb==4.0.12
129
+ smmap==5.0.3
130
+ pycparser==3.0
131
+ Pygments==2.20.0
132
+ sentencepiece==0.2.1
133
+ cachetools==6.2.6
134
+ importlib_metadata==8.7.1
135
+ mdurl==0.1.2
136
+ python-multipart==0.0.32
137
+ python-dateutil==2.9.0.post0
138
+ mpmath==1.3.0
139
+ PyYAML==6.0.3
140
+ regex==2026.5.9
141
+ jsonref==1.1.0
142
+ sortedcontainers==2.4.0
143
+ abnf==2.2.0
144
+ databricks-sdk==0.117.0
145
+ antlr4-python3-runtime==4.9.3
146
+ pydantic_core==2.41.5
147
+ pyiceberg==0.11.1
148
+ frozenlist==1.8.0
149
+ structlog==26.1.0
150
+ psutil==5.9.8
151
+ bleach==6.4.0
152
+ typing_extensions==4.15.0
153
+ aiosignal==1.4.0
154
+ schema==0.7.8
155
+ jupyter_core==5.9.1
156
+ fastjsonschema==2.21.2
157
+ click==8.2.1
158
+ zipp==4.1.0
159
+ scipy==1.17.1
160
+ kaggle==2.2.2
161
+ joblib==1.5.3
162
+ watchfiles==1.2.0
163
+ cycler==0.12.1
164
+ Jinja2==3.1.6
165
+ typer==0.26.7
166
+ referencing==0.37.0
167
+ paramiko==5.0.0
168
+ pyparsing==3.3.2
169
+ pyroaring==1.1.0
170
+ boto3==1.43.31
171
+ charset-normalizer==3.4.7
172
+ omegaconf==2.3.1
173
+ opentelemetry-proto==1.42.1
174
+ uvicorn==0.49.0
175
+ pandas==2.3.3
176
+ markdown-it-py==4.2.0
177
+ fastapi-utils==0.8.0
178
+ jupytext==1.19.3
179
+ MarkupSafe==3.0.3
180
+ Werkzeug==3.1.8
181
+ deepdiff==9.1.0
182
+ mlx-metal==0.31.2
183
+ distro==1.9.0
184
+ graphviz==0.21
185
+ flatbuffers==25.12.19
186
+ pluggy==1.6.0
187
+ PyNaCl==1.6.2
188
+ attrs==26.1.0
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wandb/run-20260618_131742-6kjjno96/logs/debug.log ADDED
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1
+ 2026-06-18 13:17:42,619 INFO MainThread:75094 [wandb_setup.py:_flush():81] Current SDK version is 0.27.2
2
+ 2026-06-18 13:17:42,619 INFO MainThread:75094 [wandb_setup.py:_flush():81] Configure stats pid to 75094
3
+ 2026-06-18 13:17:42,619 INFO MainThread:75094 [wandb_setup.py:_flush():81] Loading settings from environment variables
4
+ 2026-06-18 13:17:42,619 INFO MainThread:75094 [wandb_init.py:setup_run_log_directory():723] Logging user logs to adapters_sweep/cot_lr2e-4_L8/wandb/run-20260618_131742-6kjjno96/logs/debug.log
5
+ 2026-06-18 13:17:42,619 INFO MainThread:75094 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to adapters_sweep/cot_lr2e-4_L8/wandb/run-20260618_131742-6kjjno96/logs/debug-internal.log
6
+ 2026-06-18 13:17:42,619 INFO MainThread:75094 [wandb_init.py:init():766] calling init triggers
7
+ 2026-06-18 13:17:42,619 INFO MainThread:75094 [wandb_init.py:init():771] wandb.init called with sweep_config: {}
8
+ config: {'model': 'mlx-community/Llama-3.2-1B-Instruct-bf16', 'train': True, 'data': 'data/mlx_cot', 'fine_tune_type': 'lora', 'optimizer': 'adam', 'mask_prompt': True, 'num_layers': 8, 'batch_size': 2, 'iters': 1500, 'val_batches': 25, 'learning_rate': 0.0002, 'steps_per_report': 50, 'steps_per_eval': 300, 'grad_accumulation_steps': 1, 'resume_adapter_file': None, 'adapter_path': 'adapters_sweep/cot_lr2e-4_L8', 'save_every': 500, 'test': False, 'test_batches': 500, 'max_seq_length': 2048, 'config': None, 'grad_checkpoint': True, 'clear_cache_threshold': 0, 'report_to': 'wandb', 'project_name': 'text2sql-qwen-coder', 'seed': 0, 'optimizer_config': {'adam': {}, 'adamw': {}, 'muon': {}, 'sgd': {}, 'adafactor': {}}, 'lr_schedule': None, 'lora_parameters': {'rank': 8, 'dropout': 0.0, 'scale': 20.0}, '_wandb': {}}
9
+ 2026-06-18 13:17:42,619 INFO MainThread:75094 [wandb_init.py:init():814] starting backend
10
+ 2026-06-18 13:17:42,620 INFO MainThread:75094 [wandb_init.py:init():829] sending inform_init request
11
+ 2026-06-18 13:17:43,153 INFO MainThread:75094 [wandb_init.py:init():834] backend started and connected
12
+ 2026-06-18 13:17:43,155 INFO MainThread:75094 [wandb_init.py:init():904] updated telemetry
13
+ 2026-06-18 13:17:43,170 INFO MainThread:75094 [wandb_init.py:init():927] communicating run to backend with 90.0 second timeout
14
+ 2026-06-18 13:17:43,870 INFO MainThread:75094 [wandb_init.py:init():972] starting run threads in backend
15
+ 2026-06-18 13:17:43,957 INFO MainThread:75094 [wandb_run.py:_console_start():2523] atexit reg
16
+ 2026-06-18 13:17:43,957 INFO MainThread:75094 [wandb_run.py:_redirect():2373] redirect: wrap_raw
17
+ 2026-06-18 13:17:43,957 INFO MainThread:75094 [wandb_run.py:_redirect():2442] Wrapping output streams.
18
+ 2026-06-18 13:17:43,957 INFO MainThread:75094 [wandb_run.py:_redirect():2465] Redirects installed.
19
+ 2026-06-18 13:17:43,959 INFO MainThread:75094 [wandb_init.py:init():1010] run started, returning control to user process
20
+ 2026-06-18 13:42:34,613 INFO wandb-AsyncioManager-main:75094 [service_client.py:_forward_responses():122] [no run ID] Reached EOF.
21
+ 2026-06-18 13:42:34,613 INFO wandb-AsyncioManager-main:75094 [mailbox.py:close():154] [no run ID] Closing mailbox, abandoning 2 handles.
22
+ 2026-06-18 13:42:34,613 ERROR wandb-AsyncioManager-main:75094 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
23
+ Traceback (most recent call last):
24
+ File "/Users/apple/Documents/work/Kd-project/Insufficient_Tokens/W5_Fine_Tune/.venv/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
25
+ await fn()
26
+ File "/Users/apple/Documents/work/Kd-project/Insufficient_Tokens/W5_Fine_Tune/.venv/lib/python3.11/site-packages/wandb/sdk/lib/run_messages.py", line 90, in loop
27
+ await asyncio_compat.race(
28
+ File "/Users/apple/Documents/work/Kd-project/Insufficient_Tokens/W5_Fine_Tune/.venv/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_compat.py", line 278, in race
29
+ async with open_task_group(race=True) as tg:
30
+ File "/opt/homebrew/Cellar/python@3.11/3.11.15/Frameworks/Python.framework/Versions/3.11/lib/python3.11/contextlib.py", line 217, in __aexit__
31
+ await anext(self.gen)
32
+ File "/Users/apple/Documents/work/Kd-project/Insufficient_Tokens/W5_Fine_Tune/.venv/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_compat.py", line 240, in open_task_group
33
+ await task_group._wait_all(race=race, timeout=exit_timeout)
34
+ File "/Users/apple/Documents/work/Kd-project/Insufficient_Tokens/W5_Fine_Tune/.venv/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_compat.py", line 180, in _wait_all
35
+ raise exc
36
+ File "/Users/apple/Documents/work/Kd-project/Insufficient_Tokens/W5_Fine_Tune/.venv/lib/python3.11/site-packages/wandb/sdk/lib/run_messages.py", line 113, in _print_all
37
+ result = await handle.wait_async(timeout=None)
38
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
39
+ File "/Users/apple/Documents/work/Kd-project/Insufficient_Tokens/W5_Fine_Tune/.venv/lib/python3.11/site-packages/wandb/sdk/mailbox/mailbox_handle.py", line 127, in wait_async
40
+ response = await self._handle.wait_async(timeout=timeout)
41
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
42
+ File "/Users/apple/Documents/work/Kd-project/Insufficient_Tokens/W5_Fine_Tune/.venv/lib/python3.11/site-packages/wandb/sdk/mailbox/response_handle.py", line 123, in wait_async
43
+ raise HandleAbandonedError()
44
+ wandb.sdk.mailbox.mailbox_handle.HandleAbandonedError
wandb/run-20260618_131742-6kjjno96/run-6kjjno96.wandb ADDED
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