ShengdingHu commited on
Commit
1b95b8c
1 Parent(s): 69f0801

Training in progress, step 50

Browse files
all_results.json CHANGED
@@ -1,18 +1,18 @@
1
  {
2
- "epoch": 20.0,
3
- "eval_accuracy": 57.99999999999999,
4
- "eval_average_metrics": 57.99999999999999,
5
- "eval_loss": 0.2818337678909302,
6
- "eval_runtime": 0.316,
7
- "eval_samples_per_second": 158.207,
8
- "test_accuracy": 54.0,
9
- "test_average_metrics": 54.0,
10
- "test_loss": 0.2671838104724884,
11
- "test_runtime": 0.2712,
12
- "test_samples_per_second": 184.354,
13
- "train_loss": 0.34575576782226564,
14
- "train_runtime": 106.0291,
15
  "train_samples": 400,
16
- "train_samples_per_second": 75.451,
17
- "train_steps_per_second": 2.452
18
  }
 
1
  {
2
+ "epoch": 40.0,
3
+ "eval_accuracy": 54.0,
4
+ "eval_average_metrics": 54.0,
5
+ "eval_loss": 0.29293137788772583,
6
+ "eval_runtime": 0.3662,
7
+ "eval_samples_per_second": 136.552,
8
+ "test_accuracy": 52.0,
9
+ "test_average_metrics": 52.0,
10
+ "test_loss": 0.28209835290908813,
11
+ "test_runtime": 0.3997,
12
+ "test_samples_per_second": 125.094,
13
+ "train_loss": 0.18321549898156753,
14
+ "train_runtime": 219.7861,
15
  "train_samples": 400,
16
+ "train_samples_per_second": 72.798,
17
+ "train_steps_per_second": 2.366
18
  }
eval_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
- "epoch": 20.0,
3
- "eval_accuracy": 57.99999999999999,
4
- "eval_average_metrics": 57.99999999999999,
5
- "eval_loss": 0.2818337678909302,
6
- "eval_runtime": 0.316,
7
- "eval_samples_per_second": 158.207
8
  }
 
1
  {
2
+ "epoch": 40.0,
3
+ "eval_accuracy": 54.0,
4
+ "eval_average_metrics": 54.0,
5
+ "eval_loss": 0.29293137788772583,
6
+ "eval_runtime": 0.3662,
7
+ "eval_samples_per_second": 136.552
8
  }
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b2709d3778630b2d21b2604feac69f244a13e550bf3c664aefd8ea3aeacc9789
3
- size 7551621
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:615d83a030dfaea92497a8df95a41acb7f6517ebddd6b1b87e1356174aaad9b1
3
+ size 2631685
runs/Feb01_01-06-37_node1/events.out.tfevents.1643648950.node1 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:93e86d1962aa4528dbdfe41a02d0aef59a7c2fa5e1b86383ff4d57f1c1dd87b6
3
- size 7371
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f755d9d8522438f177d99db906ad50f4e49819757e581a89654b3e23b4dd2975
3
+ size 8047
runs/Feb01_01-06-37_node1/events.out.tfevents.1643649170.node1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c145b61bc84703439a6304ebe14d0ce65c3d44fd6dfce886724d9823c76198ac
3
+ size 684
runs/Feb02_15-36-39_node1/1643787501.4051788/events.out.tfevents.1643787501.node1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:45de942c7728aa9c2815f1f011924005de5494c578a6c8a31ef2c9594c94b3af
3
+ size 5041
runs/Feb02_15-36-39_node1/events.out.tfevents.1643787501.node1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b2ef62b884b6d099805f3ce90522786e70e966c8880b23400afa20e402af4fed
3
+ size 4328
test_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
- "epoch": 20.0,
3
- "test_accuracy": 54.0,
4
- "test_average_metrics": 54.0,
5
- "test_loss": 0.2671838104724884,
6
- "test_runtime": 0.2712,
7
- "test_samples_per_second": 184.354
8
  }
 
1
  {
2
+ "epoch": 40.0,
3
+ "test_accuracy": 52.0,
4
+ "test_average_metrics": 52.0,
5
+ "test_loss": 0.28209835290908813,
6
+ "test_runtime": 0.3997,
7
+ "test_samples_per_second": 125.094
8
  }
train_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
- "epoch": 20.0,
3
- "train_loss": 0.34575576782226564,
4
- "train_runtime": 106.0291,
5
  "train_samples": 400,
6
- "train_samples_per_second": 75.451,
7
- "train_steps_per_second": 2.452
8
  }
 
1
  {
2
+ "epoch": 40.0,
3
+ "train_loss": 0.18321549898156753,
4
+ "train_runtime": 219.7861,
5
  "train_samples": 400,
6
+ "train_samples_per_second": 72.798,
7
+ "train_steps_per_second": 2.366
8
  }
trainer_state.json CHANGED
@@ -1,70 +1,121 @@
1
  {
2
- "best_metric": 57.99999999999999,
3
- "best_model_checkpoint": "outputs/bitfit/t5-base/superglue-copa/checkpoint-250",
4
- "epoch": 20.0,
5
- "global_step": 260,
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
8
  "is_world_process_zero": true,
9
  "log_history": [
10
  {
11
  "epoch": 3.85,
12
- "eval_accuracy": 48.0,
13
- "eval_average_metrics": 48.0,
14
- "eval_loss": 0.2776777148246765,
15
- "eval_runtime": 0.5637,
16
- "eval_samples_per_second": 88.704,
17
  "step": 50
18
  },
19
  {
20
  "epoch": 7.69,
21
- "eval_accuracy": 50.0,
22
- "eval_average_metrics": 50.0,
23
- "eval_loss": 0.27705639600753784,
24
- "eval_runtime": 0.2608,
25
- "eval_samples_per_second": 191.742,
26
  "step": 100
27
  },
28
  {
29
  "epoch": 11.54,
30
- "eval_accuracy": 48.0,
31
- "eval_average_metrics": 48.0,
32
- "eval_loss": 0.2773664593696594,
33
- "eval_runtime": 0.3349,
34
- "eval_samples_per_second": 149.291,
35
  "step": 150
36
  },
37
  {
38
  "epoch": 15.38,
39
- "eval_accuracy": 44.0,
40
- "eval_average_metrics": 44.0,
41
- "eval_loss": 0.28644633293151855,
42
- "eval_runtime": 0.2612,
43
- "eval_samples_per_second": 191.401,
44
  "step": 200
45
  },
46
  {
47
  "epoch": 19.23,
48
- "eval_accuracy": 57.99999999999999,
49
- "eval_average_metrics": 57.99999999999999,
50
- "eval_loss": 0.2818337678909302,
51
- "eval_runtime": 0.2709,
52
- "eval_samples_per_second": 184.56,
53
  "step": 250
54
  },
55
  {
56
- "epoch": 20.0,
57
- "step": 260,
58
- "total_flos": 477340229431296.0,
59
- "train_loss": 0.34575576782226564,
60
- "train_runtime": 106.0291,
61
- "train_samples_per_second": 75.451,
62
- "train_steps_per_second": 2.452
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
63
  }
64
  ],
65
- "max_steps": 260,
66
- "num_train_epochs": 20,
67
- "total_flos": 477340229431296.0,
68
  "trial_name": null,
69
  "trial_params": null
70
  }
 
1
  {
2
+ "best_metric": 54.0,
3
+ "best_model_checkpoint": "outputs/bitfit/t5-base/superglue-copa/checkpoint-200",
4
+ "epoch": 40.0,
5
+ "global_step": 520,
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
8
  "is_world_process_zero": true,
9
  "log_history": [
10
  {
11
  "epoch": 3.85,
12
+ "eval_accuracy": 50.0,
13
+ "eval_average_metrics": 50.0,
14
+ "eval_loss": 0.2800115942955017,
15
+ "eval_runtime": 0.3692,
16
+ "eval_samples_per_second": 135.418,
17
  "step": 50
18
  },
19
  {
20
  "epoch": 7.69,
21
+ "eval_accuracy": 42.0,
22
+ "eval_average_metrics": 42.0,
23
+ "eval_loss": 0.28102436661720276,
24
+ "eval_runtime": 0.4452,
25
+ "eval_samples_per_second": 112.304,
26
  "step": 100
27
  },
28
  {
29
  "epoch": 11.54,
30
+ "eval_accuracy": 52.0,
31
+ "eval_average_metrics": 52.0,
32
+ "eval_loss": 0.3020976185798645,
33
+ "eval_runtime": 0.3114,
34
+ "eval_samples_per_second": 160.544,
35
  "step": 150
36
  },
37
  {
38
  "epoch": 15.38,
39
+ "eval_accuracy": 54.0,
40
+ "eval_average_metrics": 54.0,
41
+ "eval_loss": 0.29293137788772583,
42
+ "eval_runtime": 0.5099,
43
+ "eval_samples_per_second": 98.067,
44
  "step": 200
45
  },
46
  {
47
  "epoch": 19.23,
48
+ "eval_accuracy": 50.0,
49
+ "eval_average_metrics": 50.0,
50
+ "eval_loss": 0.4718337953090668,
51
+ "eval_runtime": 0.2966,
52
+ "eval_samples_per_second": 168.586,
53
  "step": 250
54
  },
55
  {
56
+ "epoch": 23.08,
57
+ "eval_accuracy": 48.0,
58
+ "eval_average_metrics": 48.0,
59
+ "eval_loss": 0.6855034828186035,
60
+ "eval_runtime": 0.3659,
61
+ "eval_samples_per_second": 136.664,
62
+ "step": 300
63
+ },
64
+ {
65
+ "epoch": 26.92,
66
+ "eval_accuracy": 48.0,
67
+ "eval_average_metrics": 48.0,
68
+ "eval_loss": 0.9259137511253357,
69
+ "eval_runtime": 0.5574,
70
+ "eval_samples_per_second": 89.705,
71
+ "step": 350
72
+ },
73
+ {
74
+ "epoch": 30.77,
75
+ "eval_accuracy": 44.0,
76
+ "eval_average_metrics": 44.0,
77
+ "eval_loss": 1.0988849401474,
78
+ "eval_runtime": 0.3043,
79
+ "eval_samples_per_second": 164.333,
80
+ "step": 400
81
+ },
82
+ {
83
+ "epoch": 34.62,
84
+ "eval_accuracy": 50.0,
85
+ "eval_average_metrics": 50.0,
86
+ "eval_loss": 1.1635206937789917,
87
+ "eval_runtime": 0.3906,
88
+ "eval_samples_per_second": 128.015,
89
+ "step": 450
90
+ },
91
+ {
92
+ "epoch": 38.46,
93
+ "learning_rate": 1.1538461538461538e-05,
94
+ "loss": 0.19,
95
+ "step": 500
96
+ },
97
+ {
98
+ "epoch": 38.46,
99
+ "eval_accuracy": 48.0,
100
+ "eval_average_metrics": 48.0,
101
+ "eval_loss": 1.2427139282226562,
102
+ "eval_runtime": 0.3254,
103
+ "eval_samples_per_second": 153.656,
104
+ "step": 500
105
+ },
106
+ {
107
+ "epoch": 40.0,
108
+ "step": 520,
109
+ "total_flos": 954277186351104.0,
110
+ "train_loss": 0.18321549898156753,
111
+ "train_runtime": 219.7861,
112
+ "train_samples_per_second": 72.798,
113
+ "train_steps_per_second": 2.366
114
  }
115
  ],
116
+ "max_steps": 520,
117
+ "num_train_epochs": 40,
118
+ "total_flos": 954277186351104.0,
119
  "trial_name": null,
120
  "trial_params": null
121
  }
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1eb01bad7c8b0307ff6935ee0dbe2d8437e8b5d224ca89a00e9120095551b79d
3
  size 3183
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cd7c9dde74bac513e1fc0b66b0b2e4cc06aea4079142ec3c5f7d32d3e1397850
3
  size 3183
training_config.json CHANGED
@@ -1 +1 @@
1
- {"bottleneck_dim": 24, "dataset_config_name": ["en"], "delta_type": "adapter", "do_eval": true, "do_test": true, "do_train": true, "eval_dataset_config_name": ["en"], "eval_dataset_name": "superglue-copa", "eval_steps": 50, "evaluation_strategy": "steps", "greater_is_better": true, "learning_rate": 0.0003, "load_best_model_at_end": true, "max_source_length": 256, "metric_for_best_model": "average_metrics", "model_name_or_path": "../../../../plm_cache/t5-base", "num_train_epochs": 40, "output_dir": "outputs/bitfit/t5-base/superglue-copa", "overwrite_output_dir": true, "per_device_eval_batch_size": 32, "per_device_train_batch_size": 32, "predict_with_generate": true, "push_to_hub": true, "save_steps": 50, "save_strategy": "steps", "save_total_limit": 1, "seed": 42, "split_validation_test": true, "task_name": "superglue-copa", "test_dataset_config_name": ["en"], "test_dataset_name": "superglue-copa", "tokenizer_name": "../../../../plm_cache/t5-base", "unfrozen_modules": ["deltas", "layer_norm", "final_layer_norm"], "warmup_steps": 0}
 
1
+ {"dataset_config_name": ["en"], "delta_type": "lora", "do_eval": true, "do_test": true, "do_train": true, "eval_dataset_config_name": ["en"], "eval_dataset_name": "superglue-copa", "eval_steps": 50, "evaluation_strategy": "steps", "greater_is_better": true, "learning_rate": 0.0003, "load_best_model_at_end": true, "lora_r": 8, "max_source_length": 256, "metric_for_best_model": "average_metrics", "model_name_or_path": "../../../../plm_cache/t5-base", "num_train_epochs": 40, "output_dir": "outputs/bitfit/t5-base/superglue-copa", "overwrite_output_dir": true, "per_device_eval_batch_size": 32, "per_device_train_batch_size": 32, "predict_with_generate": true, "push_to_hub": true, "save_steps": 50, "save_strategy": "steps", "save_total_limit": 1, "seed": 42, "split_validation_test": true, "task_name": "superglue-copa", "test_dataset_config_name": ["en"], "test_dataset_name": "superglue-copa", "tokenizer_name": "../../../../plm_cache/t5-base", "unfrozen_modules": ["deltas", "layer_norm", "final_layer_norm"], "warmup_steps": 0}