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Jingmei
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PMC_LLAMA2_7B_trainer_lora

PEFT
Safetensors
Generated from Trainer
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Jingmei commited on
Commit
5923c8c
•
1 Parent(s): a5b5771

Training in progress, step 10

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Files changed (4) hide show
  1. adapter_config.json +2 -2
  2. adapter_model.safetensors +1 -1
  3. trainer_peft.log +54 -463
  4. training_args.bin +1 -1
adapter_config.json CHANGED
@@ -20,8 +20,8 @@
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  "rank_pattern": {},
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  "use_dora": false,
adapter_model.safetensors CHANGED
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- 2024-05-31 16:32 - Cuda check
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- 2024-05-31 16:32 - Cuda check
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- 2024-05-31 16:32 - Configue Model and tokenizer
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- 2024-05-31 16:32 - Cuda check
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- 2024-05-31 16:32 - True
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- 2024-05-31 16:32 - Configue Model and tokenizer
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- 2024-05-31 16:32 - Cuda check
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- 2024-05-31 16:32 - True
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- 2024-05-31 16:32 - Configue Model and tokenizer
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- 2024-05-31 16:32 - Cuda check
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- 2024-05-31 16:32 - True
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- 2024-05-31 16:32 - Configue Model and tokenizer
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- 2024-05-31 16:32 - Cuda check
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- 2024-05-31 16:32 - True
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- 2024-05-31 16:32 - Configue Model and tokenizer
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- 2024-05-31 16:33 - Memory usage in 9.05 GB
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- 2024-05-31 16:33 - Memory usage in 8.03 GB
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- 2024-05-31 16:33 - Memory usage in 8.03 GB
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- 2024-05-31 16:33 - Dataset loaded successfully:
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  train-Jingmei/Pandemic_Wiki
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- test -Jingmei/Pandemic_WHO
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- 2024-05-31 16:34 - Tokenize data: DatasetDict({
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- train: Dataset({
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  features: ['input_ids', 'attention_mask'],
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- 2024-05-31 16:34 - Tokenize data: DatasetDict({
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  features: ['input_ids', 'attention_mask'],
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- 2024-05-31 16:37 - Cuda check
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- 2024-05-31 16:37 - Cuda check
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- 2024-05-31 16:37 - True
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- 2024-05-31 16:37 - 3
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- 2024-05-31 16:37 - Configue Model and tokenizer
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- 2024-05-31 16:37 - Memory usage in 9.05 GB
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- 2024-05-31 16:37 - Memory usage in 8.03 GB
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- 2024-05-31 16:37 - Memory usage in 8.03 GB
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- 2024-05-31 16:38 - Dataset loaded successfully:
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- 2024-05-31 16:38 - Tokenize data: DatasetDict({
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- 2024-05-31 16:38 - Split data into chunks:DatasetDict({
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  train: Dataset({
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- 2024-05-31 16:38 - Setup PEFT
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- 2024-05-31 16:38 - Start training!!
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- 2024-05-31 16:38 - Cuda check
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- 2024-05-31 16:38 - True
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- 2024-05-31 16:38 - Configue Model and tokenizer
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- 2024-05-31 16:38 - Cuda check
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- 2024-05-31 16:38 - Configue Model and tokenizer
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- 2024-05-31 16:38 - Configue Model and tokenizer
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- 2024-05-31 16:39 - Memory usage in 0.00 GB
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  num_rows: 2152
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- 2024-05-31 16:39 - Setup PEFT
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- 2024-05-31 16:39 - Tokenize data: DatasetDict({
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- 2024-05-31 16:39 - Tokenize data: DatasetDict({
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- 2024-05-31 16:39 - Setup PEFT
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- 2024-05-31 16:39 - Split data into chunks:DatasetDict({
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- train: Dataset({
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- 2024-05-31 16:39 - Setup PEFT
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- 2024-05-31 16:39 - Setup optimizer
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- 2024-05-31 16:39 - Setup optimizer
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- 2024-05-31 16:39 - Start training!!
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- 2024-05-31 16:39 - Start training!!
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- 2024-05-31 16:42 - Configue Model and tokenizer
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- 2024-05-31 16:42 - Setup PEFT
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- 2024-05-31 16:42 - Setup optimizer
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- 2024-05-31 16:42 - Start training!!
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- 2024-05-31 16:42 - Start training!!
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- 2024-05-31 16:44 - Cuda check
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- 2024-05-31 16:44 - Configue Model and tokenizer
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- 2024-05-31 16:44 - Configue Model and tokenizer
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- features: ['input_ids', 'attention_mask'],
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- train: Dataset({
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- 2024-05-31 16:47 - Memory usage in 0.00 GB
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- 2024-05-31 16:47 - Tokenize data: DatasetDict({
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- train: Dataset({
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- test: Dataset({
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- train: Dataset({
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- test: Dataset({
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- features: ['input_ids', 'attention_mask'],
500
- num_rows: 2868
501
- })
502
- })
503
- 2024-05-31 16:48 - Setup PEFT
504
- 2024-05-31 16:48 - Split data into chunks:DatasetDict({
505
- train: Dataset({
506
- features: ['input_ids', 'attention_mask'],
507
- num_rows: 24863
508
- })
509
- test: Dataset({
510
- features: ['input_ids', 'attention_mask'],
511
- num_rows: 2868
512
  })
513
  })
514
- 2024-05-31 16:48 - Setup PEFT
515
- 2024-05-31 16:48 - Split data into chunks:DatasetDict({
516
  train: Dataset({
517
  features: ['input_ids', 'attention_mask'],
518
  num_rows: 24863
519
  })
520
  test: Dataset({
521
  features: ['input_ids', 'attention_mask'],
522
- num_rows: 2868
523
  })
524
  })
525
- 2024-05-31 16:48 - Setup PEFT
526
- 2024-05-31 16:48 - Setup optimizer
527
- 2024-05-31 16:48 - Setup optimizer
528
- 2024-05-31 16:48 - Setup optimizer
529
- 2024-05-31 16:48 - Start training!!
530
- 2024-05-31 16:48 - Start training!!
531
- 2024-05-31 16:48 - Start training!!
532
- 2024-05-31 17:28 - Training complete!!!
533
- 2024-05-31 17:28 - Training complete!!!
 
1
+ 2024-06-01 14:49 - Cuda check
2
+ 2024-06-01 14:49 - True
3
+ 2024-06-01 14:49 - 2
4
+ 2024-06-01 14:49 - Configue Model and tokenizer
5
+ 2024-06-01 14:49 - Cuda check
6
+ 2024-06-01 14:49 - True
7
+ 2024-06-01 14:49 - 2
8
+ 2024-06-01 14:49 - Configue Model and tokenizer
9
+ 2024-06-01 14:49 - Memory usage in 0.00 GB
10
+ 2024-06-01 14:49 - Memory usage in 0.00 GB
11
+ 2024-06-01 14:49 - Dataset loaded successfully:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
12
  train-Jingmei/Pandemic_Wiki
13
+ test -Jingmei/Pandemic
14
+ 2024-06-01 14:49 - Dataset loaded successfully:
15
  train-Jingmei/Pandemic_Wiki
16
+ test -Jingmei/Pandemic
17
+ 2024-06-01 14:49 - Tokenize data: DatasetDict({
 
 
 
 
 
 
 
 
 
 
 
 
 
18
  train: Dataset({
19
  features: ['input_ids', 'attention_mask'],
20
  num_rows: 2152
 
24
  num_rows: 8264
25
  })
26
  })
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+ 2024-06-01 14:49 - Tokenize data: DatasetDict({
28
  train: Dataset({
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  features: ['input_ids', 'attention_mask'],
30
  num_rows: 2152
 
34
  num_rows: 8264
35
  })
36
  })
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+ 2024-06-01 14:49 - Split data into chunks:DatasetDict({
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
38
  train: Dataset({
39
  features: ['input_ids', 'attention_mask'],
40
  num_rows: 24863
41
  })
42
  test: Dataset({
43
  features: ['input_ids', 'attention_mask'],
44
+ num_rows: 198964
45
  })
46
  })
47
+ 2024-06-01 14:49 - Setup PEFT
48
+ 2024-06-01 14:49 - Setup optimizer
49
+ 2024-06-01 14:49 - Split data into chunks:DatasetDict({
50
  train: Dataset({
51
  features: ['input_ids', 'attention_mask'],
52
  num_rows: 24863
53
  })
54
  test: Dataset({
55
  features: ['input_ids', 'attention_mask'],
56
+ num_rows: 198964
 
 
 
 
 
 
 
 
 
 
 
57
  })
58
  })
59
+ 2024-06-01 14:49 - Setup PEFT
60
+ 2024-06-01 14:49 - Setup optimizer
61
+ 2024-06-01 14:49 - Start training!!
62
+ 2024-06-01 14:49 - Start training!!
63
+ 2024-06-01 14:51 - Cuda check
64
+ 2024-06-01 14:51 - True
65
+ 2024-06-01 14:51 - 2
66
+ 2024-06-01 14:51 - Configue Model and tokenizer
67
+ 2024-06-01 14:51 - Cuda check
68
+ 2024-06-01 14:51 - True
69
+ 2024-06-01 14:51 - 2
70
+ 2024-06-01 14:51 - Configue Model and tokenizer
71
+ 2024-06-01 14:51 - Memory usage in 0.00 GB
72
+ 2024-06-01 14:51 - Memory usage in 0.00 GB
73
+ 2024-06-01 14:51 - Dataset loaded successfully:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
74
  train-Jingmei/Pandemic_Wiki
75
+ test -Jingmei/Pandemic
76
+ 2024-06-01 14:51 - Tokenize data: DatasetDict({
77
  train: Dataset({
78
  features: ['input_ids', 'attention_mask'],
79
  num_rows: 2152
80
  })
81
  test: Dataset({
82
  features: ['input_ids', 'attention_mask'],
83
+ num_rows: 8264
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
84
  })
85
  })
86
+ 2024-06-01 14:51 - Dataset loaded successfully:
 
87
  train-Jingmei/Pandemic_Wiki
88
+ test -Jingmei/Pandemic
89
+ 2024-06-01 14:51 - Split data into chunks:DatasetDict({
 
 
 
 
 
 
 
 
 
 
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  train: Dataset({
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  features: ['input_ids', 'attention_mask'],
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  num_rows: 24863
93
  })
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  test: Dataset({
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  features: ['input_ids', 'attention_mask'],
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+ num_rows: 198964
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
97
  })
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  })
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+ 2024-06-01 14:51 - Setup PEFT
100
+ 2024-06-01 14:51 - Tokenize data: DatasetDict({
101
  train: Dataset({
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  features: ['input_ids', 'attention_mask'],
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  num_rows: 2152
104
  })
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  test: Dataset({
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  features: ['input_ids', 'attention_mask'],
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+ num_rows: 8264
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
108
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+ 2024-06-01 14:51 - Split data into chunks:DatasetDict({
 
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+ 2024-06-01 14:51 - Setup PEFT
121
+ 2024-06-01 14:51 - Setup optimizer
122
+ 2024-06-01 14:51 - Setup optimizer
123
+ 2024-06-01 14:51 - Start training!!
124
+ 2024-06-01 14:51 - Start training!!
 
 
 
 
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