ShengdingHu commited on
Commit
cac7f6a
1 Parent(s): 3ec4a2d

Training in progress, step 200

Browse files
all_results.json CHANGED
@@ -1,20 +1,20 @@
1
  {
2
  "epoch": 3.0,
3
- "eval_average_metrics": 58.41817631314976,
4
- "eval_em": 49.88986784140969,
5
- "eval_f1": 66.94648478488982,
6
- "eval_loss": 0.2216569185256958,
7
- "eval_runtime": 9.9222,
8
- "eval_samples_per_second": 244.301,
9
- "test_average_metrics": 59.672400265556156,
10
- "test_em": 51.55555555555556,
11
- "test_f1": 67.78924497555676,
12
- "test_loss": 0.20578201115131378,
13
- "test_runtime": 10.0457,
14
- "test_samples_per_second": 241.296,
15
- "train_loss": 0.23175367241920627,
16
- "train_runtime": 518.4287,
17
  "train_samples": 27243,
18
- "train_samples_per_second": 157.648,
19
- "train_steps_per_second": 4.93
20
  }
 
1
  {
2
  "epoch": 3.0,
3
+ "eval_average_metrics": 62.27396685546466,
4
+ "eval_em": 52.6431718061674,
5
+ "eval_f1": 71.90476190476191,
6
+ "eval_loss": 0.22205480933189392,
7
+ "eval_runtime": 24.5121,
8
+ "eval_samples_per_second": 98.89,
9
+ "test_average_metrics": 63.46612466124662,
10
+ "test_em": 54.44444444444444,
11
+ "test_f1": 72.48780487804879,
12
+ "test_loss": 0.19974233210086823,
13
+ "test_runtime": 25.265,
14
+ "test_samples_per_second": 95.943,
15
+ "train_loss": 0.18877839930180654,
16
+ "train_runtime": 1478.3404,
17
  "train_samples": 27243,
18
+ "train_samples_per_second": 55.284,
19
+ "train_steps_per_second": 1.729
20
  }
eval_results.json CHANGED
@@ -1,9 +1,9 @@
1
  {
2
  "epoch": 3.0,
3
- "eval_average_metrics": 58.41817631314976,
4
- "eval_em": 49.88986784140969,
5
- "eval_f1": 66.94648478488982,
6
- "eval_loss": 0.2216569185256958,
7
- "eval_runtime": 9.9222,
8
- "eval_samples_per_second": 244.301
9
  }
 
1
  {
2
  "epoch": 3.0,
3
+ "eval_average_metrics": 62.27396685546466,
4
+ "eval_em": 52.6431718061674,
5
+ "eval_f1": 71.90476190476191,
6
+ "eval_loss": 0.22205480933189392,
7
+ "eval_runtime": 24.5121,
8
+ "eval_samples_per_second": 98.89
9
  }
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:243c21ed376bddb99303311130f2702572e78038275c8e8f2b67f5415c75b21d
3
- size 7551621
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f1ab444282eb590cc07dbabd31e47b50243e70ffccd042252568fb62a630f70c
3
+ size 2631685
runs/Feb01_01-13-39_node1/events.out.tfevents.1643649325.node1 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:92dc55d11c380836a8aab5afa602143e627ad356537afe934f4f94e2e161ccbc
3
- size 8948
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:32102cbbdcd9c4a795b0aa34ba5c29813b31321cf7915c06cf138ba7acdb7670
3
+ size 9821
runs/Feb01_01-13-39_node1/events.out.tfevents.1643650828.node1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:77e1993e71805ef73e081a4862b663ff96c1aa1575808c78da39cff8d9ac408d
3
+ size 764
runs/Feb02_15-41-24_node1/1643787763.8152487/events.out.tfevents.1643787763.node1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ef1270b5efe2e01fbeb1d60927c997ac38e79a588538ae80052edd4781dd4e59
3
+ size 5050
runs/Feb02_15-41-24_node1/events.out.tfevents.1643787763.node1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ddbeaefe73b2dfc4ea9ad1ad0465fab69d788e5c97f00a965dca9e048367f9af
3
+ size 4338
test_results.json CHANGED
@@ -1,9 +1,9 @@
1
  {
2
  "epoch": 3.0,
3
- "test_average_metrics": 59.672400265556156,
4
- "test_em": 51.55555555555556,
5
- "test_f1": 67.78924497555676,
6
- "test_loss": 0.20578201115131378,
7
- "test_runtime": 10.0457,
8
- "test_samples_per_second": 241.296
9
  }
 
1
  {
2
  "epoch": 3.0,
3
+ "test_average_metrics": 63.46612466124662,
4
+ "test_em": 54.44444444444444,
5
+ "test_f1": 72.48780487804879,
6
+ "test_loss": 0.19974233210086823,
7
+ "test_runtime": 25.265,
8
+ "test_samples_per_second": 95.943
9
  }
train_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "epoch": 3.0,
3
- "train_loss": 0.23175367241920627,
4
- "train_runtime": 518.4287,
5
  "train_samples": 27243,
6
- "train_samples_per_second": 157.648,
7
- "train_steps_per_second": 4.93
8
  }
 
1
  {
2
  "epoch": 3.0,
3
+ "train_loss": 0.18877839930180654,
4
+ "train_runtime": 1478.3404,
5
  "train_samples": 27243,
6
+ "train_samples_per_second": 55.284,
7
+ "train_steps_per_second": 1.729
8
  }
trainer_state.json CHANGED
@@ -1,105 +1,175 @@
1
  {
2
- "best_metric": 58.41817631314976,
3
- "best_model_checkpoint": "outputs/bitfit/t5-base/superglue-multirc/checkpoint-500",
4
  "epoch": 3.0,
5
  "global_step": 2556,
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
8
  "is_world_process_zero": true,
9
  "log_history": [
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
10
  {
11
  "epoch": 0.59,
12
  "learning_rate": 0.0002413145539906103,
13
- "loss": 0.3731,
14
  "step": 500
15
  },
16
  {
17
- "epoch": 0.59,
18
- "eval_average_metrics": 58.41817631314976,
19
- "eval_em": 49.88986784140969,
20
- "eval_f1": 66.94648478488982,
21
- "eval_loss": 0.2216569185256958,
22
- "eval_runtime": 10.3072,
23
- "eval_samples_per_second": 235.176,
24
- "step": 500
 
 
 
 
 
 
 
 
 
 
25
  },
26
  {
27
  "epoch": 1.17,
28
  "learning_rate": 0.00018262910798122063,
29
- "loss": 0.2051,
30
  "step": 1000
31
  },
32
  {
33
  "epoch": 1.17,
34
- "eval_average_metrics": 56.51724313400503,
35
- "eval_em": 48.348017621145374,
36
- "eval_f1": 64.68646864686468,
37
- "eval_loss": 0.2394641786813736,
38
- "eval_runtime": 10.1791,
39
- "eval_samples_per_second": 238.134,
40
  "step": 1000
41
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
42
  {
43
  "epoch": 1.76,
44
  "learning_rate": 0.00012394366197183098,
45
- "loss": 0.1986,
46
  "step": 1500
47
  },
48
  {
49
- "epoch": 1.76,
50
- "eval_average_metrics": 57.765320466809,
51
- "eval_em": 48.89867841409691,
52
- "eval_f1": 66.6319625195211,
53
- "eval_loss": 0.21828946471214294,
54
- "eval_runtime": 10.2337,
55
- "eval_samples_per_second": 236.864,
56
- "step": 1500
 
 
 
 
 
 
 
 
 
 
57
  },
58
  {
59
  "epoch": 2.35,
60
  "learning_rate": 6.525821596244131e-05,
61
- "loss": 0.1959,
62
  "step": 2000
63
  },
64
  {
65
  "epoch": 2.35,
66
- "eval_average_metrics": 57.370821730262364,
67
- "eval_em": 48.56828193832599,
68
- "eval_f1": 66.17336152219873,
69
- "eval_loss": 0.2225608378648758,
70
- "eval_runtime": 10.1351,
71
- "eval_samples_per_second": 239.168,
72
  "step": 2000
73
  },
74
  {
75
- "epoch": 2.93,
76
- "learning_rate": 6.5727699530516425e-06,
77
- "loss": 0.1905,
78
- "step": 2500
 
 
 
 
 
 
 
 
 
 
 
 
 
 
79
  },
80
  {
81
  "epoch": 2.93,
82
- "eval_average_metrics": 58.251227638040206,
83
- "eval_em": 49.118942731277535,
84
- "eval_f1": 67.38351254480287,
85
- "eval_loss": 0.21952344477176666,
86
- "eval_runtime": 10.193,
87
- "eval_samples_per_second": 237.809,
88
  "step": 2500
89
  },
90
  {
91
  "epoch": 3.0,
92
  "step": 2556,
93
- "total_flos": 2.4915591799658496e+16,
94
- "train_loss": 0.23175367241920627,
95
- "train_runtime": 518.4287,
96
- "train_samples_per_second": 157.648,
97
- "train_steps_per_second": 4.93
98
  }
99
  ],
100
  "max_steps": 2556,
101
  "num_train_epochs": 3,
102
- "total_flos": 2.4915591799658496e+16,
103
  "trial_name": null,
104
  "trial_params": null
105
  }
 
1
  {
2
+ "best_metric": 62.27396685546466,
3
+ "best_model_checkpoint": "outputs/bitfit/t5-base/superglue-multirc/checkpoint-2400",
4
  "epoch": 3.0,
5
  "global_step": 2556,
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
8
  "is_world_process_zero": true,
9
  "log_history": [
10
+ {
11
+ "epoch": 0.23,
12
+ "eval_average_metrics": 58.45389071733288,
13
+ "eval_em": 49.88986784140969,
14
+ "eval_f1": 67.01791359325607,
15
+ "eval_loss": 0.21679049730300903,
16
+ "eval_runtime": 23.0565,
17
+ "eval_samples_per_second": 105.133,
18
+ "step": 200
19
+ },
20
+ {
21
+ "epoch": 0.47,
22
+ "eval_average_metrics": 61.27063054507724,
23
+ "eval_em": 51.98237885462555,
24
+ "eval_f1": 70.55888223552893,
25
+ "eval_loss": 0.2198609709739685,
26
+ "eval_runtime": 23.4946,
27
+ "eval_samples_per_second": 103.173,
28
+ "step": 400
29
+ },
30
  {
31
  "epoch": 0.59,
32
  "learning_rate": 0.0002413145539906103,
33
+ "loss": 0.2582,
34
  "step": 500
35
  },
36
  {
37
+ "epoch": 0.7,
38
+ "eval_average_metrics": 59.16978670550705,
39
+ "eval_em": 49.779735682819386,
40
+ "eval_f1": 68.55983772819472,
41
+ "eval_loss": 0.20913197100162506,
42
+ "eval_runtime": 23.7161,
43
+ "eval_samples_per_second": 102.209,
44
+ "step": 600
45
+ },
46
+ {
47
+ "epoch": 0.94,
48
+ "eval_average_metrics": 61.270356888999785,
49
+ "eval_em": 51.43171806167401,
50
+ "eval_f1": 71.10899571632555,
51
+ "eval_loss": 0.20762182772159576,
52
+ "eval_runtime": 26.3745,
53
+ "eval_samples_per_second": 91.907,
54
+ "step": 800
55
  },
56
  {
57
  "epoch": 1.17,
58
  "learning_rate": 0.00018262910798122063,
59
+ "loss": 0.1865,
60
  "step": 1000
61
  },
62
  {
63
  "epoch": 1.17,
64
+ "eval_average_metrics": 61.45286279488806,
65
+ "eval_em": 51.87224669603524,
66
+ "eval_f1": 71.03347889374089,
67
+ "eval_loss": 0.2089201658964157,
68
+ "eval_runtime": 24.8833,
69
+ "eval_samples_per_second": 97.415,
70
  "step": 1000
71
  },
72
+ {
73
+ "epoch": 1.41,
74
+ "eval_average_metrics": 61.79826184816632,
75
+ "eval_em": 52.202643171806166,
76
+ "eval_f1": 71.39388052452648,
77
+ "eval_loss": 0.20319344103336334,
78
+ "eval_runtime": 25.4876,
79
+ "eval_samples_per_second": 95.105,
80
+ "step": 1200
81
+ },
82
+ {
83
+ "epoch": 1.64,
84
+ "eval_average_metrics": 62.13396621755072,
85
+ "eval_em": 52.53303964757709,
86
+ "eval_f1": 71.73489278752436,
87
+ "eval_loss": 0.21759574115276337,
88
+ "eval_runtime": 26.3526,
89
+ "eval_samples_per_second": 91.983,
90
+ "step": 1400
91
+ },
92
  {
93
  "epoch": 1.76,
94
  "learning_rate": 0.00012394366197183098,
95
+ "loss": 0.1745,
96
  "step": 1500
97
  },
98
  {
99
+ "epoch": 1.88,
100
+ "eval_average_metrics": 62.159955413411296,
101
+ "eval_em": 52.09251101321586,
102
+ "eval_f1": 72.22739981360672,
103
+ "eval_loss": 0.21236789226531982,
104
+ "eval_runtime": 22.8791,
105
+ "eval_samples_per_second": 105.948,
106
+ "step": 1600
107
+ },
108
+ {
109
+ "epoch": 2.11,
110
+ "eval_average_metrics": 61.48864179183695,
111
+ "eval_em": 51.651982378854626,
112
+ "eval_f1": 71.32530120481927,
113
+ "eval_loss": 0.2192794233560562,
114
+ "eval_runtime": 23.8863,
115
+ "eval_samples_per_second": 101.481,
116
+ "step": 1800
117
  },
118
  {
119
  "epoch": 2.35,
120
  "learning_rate": 6.525821596244131e-05,
121
+ "loss": 0.1692,
122
  "step": 2000
123
  },
124
  {
125
  "epoch": 2.35,
126
+ "eval_average_metrics": 62.06655934464116,
127
+ "eval_em": 52.75330396475771,
128
+ "eval_f1": 71.37981472452462,
129
+ "eval_loss": 0.2168177217245102,
130
+ "eval_runtime": 23.5217,
131
+ "eval_samples_per_second": 103.054,
132
  "step": 2000
133
  },
134
  {
135
+ "epoch": 2.58,
136
+ "eval_average_metrics": 62.263646102553764,
137
+ "eval_em": 52.31277533039648,
138
+ "eval_f1": 72.21451687471105,
139
+ "eval_loss": 0.22297202050685883,
140
+ "eval_runtime": 22.3978,
141
+ "eval_samples_per_second": 108.225,
142
+ "step": 2200
143
+ },
144
+ {
145
+ "epoch": 2.82,
146
+ "eval_average_metrics": 62.27396685546466,
147
+ "eval_em": 52.6431718061674,
148
+ "eval_f1": 71.90476190476191,
149
+ "eval_loss": 0.22205480933189392,
150
+ "eval_runtime": 23.6577,
151
+ "eval_samples_per_second": 102.461,
152
+ "step": 2400
153
  },
154
  {
155
  "epoch": 2.93,
156
+ "learning_rate": 6.5727699530516425e-06,
157
+ "loss": 0.1589,
 
 
 
 
158
  "step": 2500
159
  },
160
  {
161
  "epoch": 3.0,
162
  "step": 2556,
163
+ "total_flos": 2.511166406964019e+16,
164
+ "train_loss": 0.18877839930180654,
165
+ "train_runtime": 1478.3404,
166
+ "train_samples_per_second": 55.284,
167
+ "train_steps_per_second": 1.729
168
  }
169
  ],
170
  "max_steps": 2556,
171
  "num_train_epochs": 3,
172
+ "total_flos": 2.511166406964019e+16,
173
  "trial_name": null,
174
  "trial_params": null
175
  }
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7b69a875f82add78a43a9830f1b279342b8db3bc578b10f33b14442fb873835e
3
  size 3183
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:83e35f5470e9729f322b58c3e0e205808f864a2886e2f0aa7c9a151f826d1f0f
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-multirc", "eval_steps": 200, "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": 3, "output_dir": "outputs/bitfit/t5-base/superglue-multirc", "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": 200, "save_strategy": "steps", "save_total_limit": 1, "seed": 42, "split_validation_test": true, "task_name": "superglue-multirc", "test_dataset_config_name": ["en"], "test_dataset_name": "superglue-multirc", "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-multirc", "eval_steps": 200, "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": 3, "output_dir": "outputs/bitfit/t5-base/superglue-multirc", "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": 200, "save_strategy": "steps", "save_total_limit": 1, "seed": 42, "split_validation_test": true, "task_name": "superglue-multirc", "test_dataset_config_name": ["en"], "test_dataset_name": "superglue-multirc", "tokenizer_name": "../../../../plm_cache/t5-base", "unfrozen_modules": ["deltas", "layer_norm", "final_layer_norm"], "warmup_steps": 0}