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Adapters_final

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adapters run

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  1. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/args.json +3 -0
  2. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/cola_bert-base-uncased_train_loss.png +0 -0
  3. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/cola_bert-base-uncased_validation_loss.png +0 -0
  4. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/logfile.log +265 -0
  5. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_0/adapter_config.json +3 -0
  6. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_0/all_results.json +3 -0
  7. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_0/all_results_val.json +3 -0
  8. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_0/eval_res.json +3 -0
  9. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_0/gpu_stats.json +3 -0
  10. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_0/head_config.json +3 -0
  11. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_0/pytorch_adapter.bin +3 -0
  12. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_0/pytorch_model_head.bin +3 -0
  13. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_0/special_tokens_map.json +3 -0
  14. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_0/tokenizer.json +3 -0
  15. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_0/tokenizer_config.json +3 -0
  16. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_0/val_res.json +3 -0
  17. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_0/vocab.txt +0 -0
  18. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_1999/adapter_config.json +3 -0
  19. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_1999/all_results.json +3 -0
  20. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_1999/all_results_val.json +3 -0
  21. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_1999/eval_res.json +3 -0
  22. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_1999/gpu_stats.json +3 -0
  23. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_1999/head_config.json +3 -0
  24. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_1999/pytorch_adapter.bin +3 -0
  25. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_1999/pytorch_model_head.bin +3 -0
  26. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_1999/special_tokens_map.json +3 -0
  27. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_1999/tokenizer.json +3 -0
  28. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_1999/tokenizer_config.json +3 -0
  29. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_1999/val_res.json +3 -0
  30. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_1999/vocab.txt +0 -0
  31. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_2999/adapter_config.json +3 -0
  32. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_2999/all_results.json +3 -0
  33. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_2999/all_results_val.json +3 -0
  34. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_2999/eval_res.json +3 -0
  35. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_2999/gpu_stats.json +3 -0
  36. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_2999/head_config.json +3 -0
  37. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_2999/pytorch_adapter.bin +3 -0
  38. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_2999/pytorch_model_head.bin +3 -0
  39. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_2999/special_tokens_map.json +3 -0
  40. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_2999/tokenizer.json +3 -0
  41. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_2999/tokenizer_config.json +3 -0
  42. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_2999/val_res.json +3 -0
  43. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_2999/vocab.txt +0 -0
  44. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_3999/adapter_config.json +3 -0
  45. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_3999/all_results.json +3 -0
  46. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_3999/all_results_val.json +3 -0
  47. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_3999/eval_res.json +3 -0
  48. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_3999/gpu_stats.json +3 -0
  49. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_3999/head_config.json +3 -0
  50. outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_3999/pytorch_adapter.bin +3 -0
outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/args.json ADDED
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+ oid sha256:1415b67ee0305ee6cd9c8765f1d76df5f634333b0b510dda4678c2ac3a922b3b
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+ size 977
outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/cola_bert-base-uncased_train_loss.png ADDED
outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/cola_bert-base-uncased_validation_loss.png ADDED
outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/logfile.log ADDED
@@ -0,0 +1,265 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 05/30/2024 15:13:21 - INFO - __main__ - Number of labels detected = 2
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+ 05/30/2024 15:13:22 - INFO - adapters.heads.model_mixin - Adding head 'default' with config {'head_type': 'masked_lm', 'vocab_size': 30522, 'embedding_size': 768, 'layers': 2, 'activation_function': 'gelu', 'layer_norm': True, 'bias': True, 'shift_labels': False, 'label2id': None}.
3
+ 05/30/2024 15:13:23 - INFO - __main__ - Number of labels detected = 2
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+ 05/30/2024 15:13:23 - INFO - adapters.heads.model_mixin - Adding head 'cola' with config {'head_type': 'classification', 'num_labels': 2, 'layers': 2, 'activation_function': 'tanh', 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'use_pooler': False, 'bias': True, 'dropout_prob': None}.
5
+ 05/30/2024 15:13:23 - INFO - adapters.configuration.model_adapters_config - Adding adapter 'cola'.
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+ 05/30/2024 15:13:23 - INFO - __main__ - ================================================================================
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+ Name Architecture #Param %Param Active Train
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+ --------------------------------------------------------------------------------
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+ cola bottleneck 1,789,056 1.634 1 1
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+ --------------------------------------------------------------------------------
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+ Full model 109,482,240 100.000 0
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+ ================================================================================
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+ 05/30/2024 15:13:23 - INFO - __main__ - printing model
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+ 05/30/2024 15:13:23 - INFO - __main__ - BertAdapterModel(
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+ (bert): BertModel(
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+ (embeddings): BertEmbeddings(
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+ (word_embeddings): Embedding(30522, 768, padding_idx=0)
18
+ (position_embeddings): Embedding(512, 768)
19
+ (token_type_embeddings): Embedding(2, 768)
20
+ (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
21
+ (dropout): Dropout(p=0.1, inplace=False)
22
+ )
23
+ (encoder): BertEncoder(
24
+ (layer): ModuleList(
25
+ (0-11): 12 x BertLayer(
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+ (attention): BertAttention(
27
+ (self): BertSelfAttentionWithAdapters(
28
+ (query): LoRALinearTorch(
29
+ in_features=768, out_features=768, bias=True
30
+ (loras): ModuleDict()
31
+ )
32
+ (key): LoRALinearTorch(
33
+ in_features=768, out_features=768, bias=True
34
+ (loras): ModuleDict()
35
+ )
36
+ (value): LoRALinearTorch(
37
+ in_features=768, out_features=768, bias=True
38
+ (loras): ModuleDict()
39
+ )
40
+ (dropout): Dropout(p=0.1, inplace=False)
41
+ (prefix_tuning): PrefixTuningLayer(
42
+ (prefix_gates): ModuleDict()
43
+ (pool): PrefixTuningPool(
44
+ (prefix_tunings): ModuleDict()
45
+ )
46
+ )
47
+ )
48
+ (output): BertSelfOutputWithAdapters(
49
+ (dense): Linear(in_features=768, out_features=768, bias=True)
50
+ (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
51
+ (dropout): Dropout(p=0.1, inplace=False)
52
+ (adapters): ModuleDict(
53
+ (cola): Adapter(
54
+ (non_linearity): Activation_Function_Class(
55
+ (f): SiLU()
56
+ )
57
+ (adapter_down): Sequential(
58
+ (0): Linear(in_features=768, out_features=48, bias=True)
59
+ (1): Activation_Function_Class(
60
+ (f): SiLU()
61
+ )
62
+ )
63
+ (adapter_up): Linear(in_features=48, out_features=768, bias=True)
64
+ (dropout): Dropout(p=0.0, inplace=False)
65
+ )
66
+ )
67
+ (adapter_fusion_layer): ModuleDict()
68
+ )
69
+ )
70
+ (intermediate): BertIntermediate(
71
+ (dense): LoRALinearTorch(
72
+ in_features=768, out_features=3072, bias=True
73
+ (loras): ModuleDict()
74
+ )
75
+ (intermediate_act_fn): GELUActivation()
76
+ )
77
+ (output): BertOutputWithAdapters(
78
+ (dense): LoRALinearTorch(
79
+ in_features=3072, out_features=768, bias=True
80
+ (loras): ModuleDict()
81
+ )
82
+ (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
83
+ (dropout): Dropout(p=0.1, inplace=False)
84
+ (adapters): ModuleDict(
85
+ (cola): Adapter(
86
+ (non_linearity): Activation_Function_Class(
87
+ (f): SiLU()
88
+ )
89
+ (adapter_down): Sequential(
90
+ (0): Linear(in_features=768, out_features=48, bias=True)
91
+ (1): Activation_Function_Class(
92
+ (f): SiLU()
93
+ )
94
+ )
95
+ (adapter_up): Linear(in_features=48, out_features=768, bias=True)
96
+ (dropout): Dropout(p=0.0, inplace=False)
97
+ )
98
+ )
99
+ (adapter_fusion_layer): ModuleDict()
100
+ )
101
+ )
102
+ )
103
+ )
104
+ (pooler): BertPooler(
105
+ (dense): Linear(in_features=768, out_features=768, bias=True)
106
+ (activation): Tanh()
107
+ )
108
+ (invertible_adapters): ModuleDict()
109
+ (shared_parameters): ModuleDict()
110
+ (prefix_tuning): PrefixTuningPool(
111
+ (prefix_tunings): ModuleDict()
112
+ )
113
+ (prompt_tuning): PromptTuningLayer(
114
+ (base_model_embeddings): Embedding(30522, 768, padding_idx=0)
115
+ (prompt_tunings): ModuleDict()
116
+ )
117
+ )
118
+ (heads): ModuleDict(
119
+ (default): BertStyleMaskedLMHead(
120
+ (0): Linear(in_features=768, out_features=768, bias=True)
121
+ (1): Activation_Function_Class(
122
+ (f): GELUActivation()
123
+ )
124
+ (2): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
125
+ (3): Linear(in_features=768, out_features=30522, bias=True)
126
+ )
127
+ (cola): ClassificationHead(
128
+ (0): Dropout(p=0.1, inplace=False)
129
+ (1): Linear(in_features=768, out_features=768, bias=True)
130
+ (2): Activation_Function_Class(
131
+ (f): Tanh()
132
+ )
133
+ (3): Dropout(p=0.1, inplace=False)
134
+ (4): Linear(in_features=768, out_features=2, bias=True)
135
+ )
136
+ )
137
+ )
138
+ 05/30/2024 15:13:23 - INFO - __main__ - Sample 3397 of the training set: {'input_ids': [101, 9901, 13303, 2044, 1996, 12383, 1012, 102], 'token_type_ids': [0, 0, 0, 0, 0, 0, 0, 0], 'attention_mask': [1, 1, 1, 1, 1, 1, 1, 1], 'labels': 1}.
139
+ 05/30/2024 15:13:23 - INFO - __main__ - Sample 2366 of the training set: {'input_ids': [101, 1996, 3586, 3631, 10647, 1005, 1055, 12277, 1012, 102], 'token_type_ids': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'attention_mask': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1], 'labels': 1}.
140
+ 05/30/2024 15:13:23 - INFO - __main__ - Sample 2356 of the training set: {'input_ids': [101, 2057, 19379, 26860, 2094, 4981, 2083, 1996, 4624, 1012, 102], 'token_type_ids': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'attention_mask': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], 'labels': 0}.
141
+ 05/30/2024 15:13:23 - INFO - __main__ - Max training steps before recalculation = 10000
142
+ 05/30/2024 15:13:23 - INFO - __main__ - num_update_steps_per_epoch initial = 855
143
+ 05/30/2024 15:13:23 - INFO - __main__ - num training epochs initial = 3
144
+ 05/30/2024 15:13:23 - INFO - __main__ - Adjusted num_train_epochs based on max_train_steps: 3
145
+ 05/30/2024 15:13:24 - INFO - __main__ - num_update_steps_per_epoch before recalculation = 855
146
+ 05/30/2024 15:13:24 - INFO - __main__ - num_update_steps_per_epoch after recalculation = 855
147
+ 05/30/2024 15:13:24 - INFO - __main__ - num training epochs before recalculation = 12
148
+ 05/30/2024 15:13:24 - INFO - __main__ - ***** Running training *****
149
+ 05/30/2024 15:13:24 - INFO - __main__ - Num examples = 6840
150
+ 05/30/2024 15:13:24 - INFO - __main__ - Num Epochs = 12
151
+ 05/30/2024 15:13:24 - INFO - __main__ - Instantaneous batch size per device = 8
152
+ 05/30/2024 15:13:24 - INFO - __main__ - Total train batch size (w. parallel, distributed & accumulation) = 8
153
+ 05/30/2024 15:13:24 - INFO - __main__ - Gradient Accumulation steps = 1
154
+ 05/30/2024 15:13:24 - INFO - __main__ - Total optimization steps = 10000
155
+ 05/30/2024 15:13:29 - INFO - __main__ - epoch 0: {'matthews_correlation': 0.010974323267649383}
156
+ 05/30/2024 15:13:29 - INFO - adapters.loading - Configuration saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_0/adapter_config.json
157
+ 05/30/2024 15:13:29 - INFO - adapters.loading - Module weights saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_0/pytorch_adapter.bin
158
+ 05/30/2024 15:13:29 - INFO - adapters.loading - Configuration saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_0/head_config.json
159
+ 05/30/2024 15:13:29 - INFO - adapters.loading - Module weights saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_0/pytorch_model_head.bin
160
+ 05/30/2024 15:13:34 - INFO - __main__ - epoch 0: {'matthews_correlation': -0.01399398063991135}
161
+ 05/30/2024 15:13:34 - INFO - adapters.loading - Configuration saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_0/adapter_config.json
162
+ 05/30/2024 15:13:34 - INFO - adapters.loading - Module weights saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_0/pytorch_adapter.bin
163
+ 05/30/2024 15:13:34 - INFO - adapters.loading - Configuration saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_0/head_config.json
164
+ 05/30/2024 15:13:34 - INFO - adapters.loading - Module weights saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_0/pytorch_model_head.bin
165
+ 05/30/2024 15:14:28 - INFO - __main__ - epoch 1: {'matthews_correlation': 0.4559658705975695}
166
+ 05/30/2024 15:14:28 - INFO - adapters.loading - Configuration saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_999/adapter_config.json
167
+ 05/30/2024 15:14:28 - INFO - adapters.loading - Module weights saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_999/pytorch_adapter.bin
168
+ 05/30/2024 15:14:28 - INFO - adapters.loading - Configuration saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_999/head_config.json
169
+ 05/30/2024 15:14:28 - INFO - adapters.loading - Module weights saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_999/pytorch_model_head.bin
170
+ 05/30/2024 15:14:34 - INFO - __main__ - epoch 1: {'matthews_correlation': 0.4744167854195685}
171
+ 05/30/2024 15:14:34 - INFO - adapters.loading - Configuration saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_999/adapter_config.json
172
+ 05/30/2024 15:14:34 - INFO - adapters.loading - Module weights saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_999/pytorch_adapter.bin
173
+ 05/30/2024 15:14:34 - INFO - adapters.loading - Configuration saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_999/head_config.json
174
+ 05/30/2024 15:14:34 - INFO - adapters.loading - Module weights saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_999/pytorch_model_head.bin
175
+ 05/30/2024 15:15:27 - INFO - __main__ - epoch 2: {'matthews_correlation': 0.5100838064555473}
176
+ 05/30/2024 15:15:27 - INFO - adapters.loading - Configuration saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_1999/adapter_config.json
177
+ 05/30/2024 15:15:27 - INFO - adapters.loading - Module weights saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_1999/pytorch_adapter.bin
178
+ 05/30/2024 15:15:27 - INFO - adapters.loading - Configuration saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_1999/head_config.json
179
+ 05/30/2024 15:15:27 - INFO - adapters.loading - Module weights saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_1999/pytorch_model_head.bin
180
+ 05/30/2024 15:15:33 - INFO - __main__ - epoch 2: {'matthews_correlation': 0.5024499972855541}
181
+ 05/30/2024 15:15:33 - INFO - adapters.loading - Configuration saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_1999/adapter_config.json
182
+ 05/30/2024 15:15:33 - INFO - adapters.loading - Module weights saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_1999/pytorch_adapter.bin
183
+ 05/30/2024 15:15:33 - INFO - adapters.loading - Configuration saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_1999/head_config.json
184
+ 05/30/2024 15:15:33 - INFO - adapters.loading - Module weights saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_1999/pytorch_model_head.bin
185
+ 05/30/2024 15:16:27 - INFO - __main__ - epoch 3: {'matthews_correlation': 0.5128707947122957}
186
+ 05/30/2024 15:16:27 - INFO - adapters.loading - Configuration saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_2999/adapter_config.json
187
+ 05/30/2024 15:16:27 - INFO - adapters.loading - Module weights saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_2999/pytorch_adapter.bin
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+ 05/30/2024 15:16:27 - INFO - adapters.loading - Configuration saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_2999/head_config.json
189
+ 05/30/2024 15:16:27 - INFO - adapters.loading - Module weights saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_2999/pytorch_model_head.bin
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+ 05/30/2024 15:16:33 - INFO - __main__ - epoch 3: {'matthews_correlation': 0.5177241811791387}
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+ 05/30/2024 15:16:33 - INFO - adapters.loading - Configuration saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_2999/adapter_config.json
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+ 05/30/2024 15:16:33 - INFO - adapters.loading - Module weights saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_2999/pytorch_adapter.bin
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+ 05/30/2024 15:16:33 - INFO - adapters.loading - Configuration saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_2999/head_config.json
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+ 05/30/2024 15:16:33 - INFO - adapters.loading - Module weights saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_2999/pytorch_model_head.bin
195
+ 05/30/2024 15:17:26 - INFO - __main__ - epoch 4: {'matthews_correlation': 0.5238347808517775}
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+ 05/30/2024 15:17:26 - INFO - adapters.loading - Configuration saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_3999/adapter_config.json
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+ 05/30/2024 15:17:26 - INFO - adapters.loading - Module weights saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_3999/pytorch_adapter.bin
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+ 05/30/2024 15:17:26 - INFO - adapters.loading - Configuration saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_3999/head_config.json
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+ 05/30/2024 15:17:26 - INFO - adapters.loading - Module weights saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_3999/pytorch_model_head.bin
200
+ 05/30/2024 15:17:31 - INFO - __main__ - epoch 4: {'matthews_correlation': 0.5447619216339334}
201
+ 05/30/2024 15:17:31 - INFO - adapters.loading - Configuration saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_3999/adapter_config.json
202
+ 05/30/2024 15:17:31 - INFO - adapters.loading - Module weights saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_3999/pytorch_adapter.bin
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+ 05/30/2024 15:17:31 - INFO - adapters.loading - Module weights saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_3999/pytorch_model_head.bin
205
+ 05/30/2024 15:18:25 - INFO - __main__ - epoch 5: {'matthews_correlation': 0.5416905121171213}
206
+ 05/30/2024 15:18:25 - INFO - adapters.loading - Configuration saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_4999/adapter_config.json
207
+ 05/30/2024 15:18:25 - INFO - adapters.loading - Module weights saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_4999/pytorch_adapter.bin
208
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209
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210
+ 05/30/2024 15:18:31 - INFO - __main__ - epoch 5: {'matthews_correlation': 0.5440440628449357}
211
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212
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213
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214
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215
+ 05/30/2024 15:19:25 - INFO - __main__ - epoch 7: {'matthews_correlation': 0.534406644277161}
216
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217
+ 05/30/2024 15:19:25 - INFO - adapters.loading - Module weights saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_5999/pytorch_adapter.bin
218
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219
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220
+ 05/30/2024 15:19:30 - INFO - __main__ - epoch 7: {'matthews_correlation': 0.5297630395991324}
221
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222
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223
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224
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225
+ 05/30/2024 15:20:26 - INFO - __main__ - epoch 8: {'matthews_correlation': 0.5347381322825221}
226
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227
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228
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229
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230
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231
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232
+ 05/30/2024 15:20:31 - INFO - adapters.loading - Module weights saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_6999/pytorch_adapter.bin
233
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234
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235
+ 05/30/2024 15:21:25 - INFO - __main__ - epoch 9: {'matthews_correlation': 0.5504217860036938}
236
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237
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238
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239
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240
+ 05/30/2024 15:21:31 - INFO - __main__ - epoch 9: {'matthews_correlation': 0.5519661848311651}
241
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242
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243
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244
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245
+ 05/30/2024 15:22:25 - INFO - __main__ - epoch 10: {'matthews_correlation': 0.5425982560876161}
246
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247
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248
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249
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250
+ 05/30/2024 15:22:31 - INFO - __main__ - epoch 10: {'matthews_correlation': 0.5547785513559972}
251
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252
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253
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254
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255
+ 05/30/2024 15:23:24 - INFO - __main__ - epoch 11: {'matthews_correlation': 0.5353569722427551}
256
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257
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258
+ 05/30/2024 15:23:24 - INFO - adapters.loading - Configuration saved in ./outputs/cola/bert-base-uncased_adapterstrain_val_0.0001_65_8_10000/step_9999/head_config.json
259
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+ 05/30/2024 15:23:30 - INFO - __main__ - epoch 11: {'matthews_correlation': 0.5551794331953966}
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+ 05/30/2024 15:23:30 - INFO - __main__ - ***** Completed training *****
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