samil24 commited on
Commit
3fea2e3
·
verified ·
1 Parent(s): 801524c

Training in progress, epoch 1

Browse files
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9544a08588ee9bb53ee0d1e25cee1f58b289b6942c885e8d79e724046e4378e0
3
  size 437958648
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ee88e6717263c77a0f03100cc35fa96932239afe69dfed14459f1fe5653ba1ec
3
  size 437958648
run-0/checkpoint-117/model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4c802ec515bc86042cdf8b15c8b139fa0f9cf6ca850b5573e82a8a229503bd37
3
  size 437958648
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:336176c2d8a88b2ec65816f06390b706dbe724ea1904dd501b45b1739ccfd759
3
  size 437958648
run-0/checkpoint-117/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e87c9c15e82618884edf2708969a5b156acbfe11a90c8b8aff20c1bec639402e
3
  size 876038394
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:55e7a1115fd5a22668d168f5999868b089bbfb6f929baaac6cabf742f3d263ab
3
  size 876038394
run-0/checkpoint-117/training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:638657d2294b16b6a018ef8c4921c705157459687a72f242b7f437400a9b1e8a
3
- size 5432
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ae96125486481670db20065f4109e420c062152dc014578dda8c216f7705ceba
3
+ size 5368
run-0/checkpoint-156/model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5db92fb8a00f8c2455466018148153ef5f020c57f80a395281a30e8736e91a23
3
  size 437958648
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1c92a6da78f2dd0bc10260aec0dc55e7510c8aaf81228f55b626fd6ec25f47bb
3
  size 437958648
run-0/checkpoint-156/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1a0751d6ff4e94e130c1204c790ff869f7b223d5558f613fd95b01591686a496
3
  size 876038394
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1e5b3242df5ac190669a37d08e52b465a6effc1e6f43cbdf6984accb9742743c
3
  size 876038394
run-0/checkpoint-156/training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:638657d2294b16b6a018ef8c4921c705157459687a72f242b7f437400a9b1e8a
3
- size 5432
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ae96125486481670db20065f4109e420c062152dc014578dda8c216f7705ceba
3
+ size 5368
run-0/checkpoint-195/model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:617e561d87a0a00190966fad2e666cfc7c7511275a22ab5451714d514b3d047c
3
  size 437958648
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a2362d3726c931e4f20b4c1fb1325c6d7926a7bc6dd4ad834532d3c27d4b143e
3
  size 437958648
run-0/checkpoint-195/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:cd14c0c2fd8af6ba25e630124589880ec3c065718165595a3f67e870ae299b5f
3
  size 876038394
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:37dcaf11b786b8617a26d4f3203cd341c40e0dfd9aa43f1ee41581f4f9a9b537
3
  size 876038394
run-0/checkpoint-195/training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:638657d2294b16b6a018ef8c4921c705157459687a72f242b7f437400a9b1e8a
3
- size 5432
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ae96125486481670db20065f4109e420c062152dc014578dda8c216f7705ceba
3
+ size 5368
run-0/checkpoint-78/model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:095c36a06fc2953f3fa1e12dc8abd3e9cb7f7fc377af4df1c2846b1e859eac15
3
  size 437958648
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:31175051979c65e9fcea303433b87161573a7f06d6d47162a5046877fbcdc3d2
3
  size 437958648
run-0/checkpoint-78/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4ea4d96cc349026f86222284871af36c226fa66396e23d127cd3c9b87bd5c746
3
  size 876038394
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cdb897a419dd2c7023b461da3f70182ae7bf34843ee0185ad6525342aa20894c
3
  size 876038394
run-1/checkpoint-117/trainer_state.json CHANGED
@@ -1,7 +1,7 @@
1
  {
2
- "best_global_step": 78,
3
- "best_metric": 0.6895306859205776,
4
- "best_model_checkpoint": "bert-base-uncased-finetuned-rte-run_3/run-1/checkpoint-78",
5
  "epoch": 3.0,
6
  "eval_steps": 500,
7
  "global_step": 117,
@@ -9,35 +9,112 @@
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
11
  "log_history": [
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
12
  {
13
  "epoch": 1.0,
14
- "eval_accuracy": 0.6570397111913358,
15
- "eval_loss": 0.6302457451820374,
16
- "eval_runtime": 0.6387,
17
- "eval_samples_per_second": 433.698,
18
- "eval_steps_per_second": 14.091,
19
  "step": 39
20
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
21
  {
22
  "epoch": 2.0,
23
  "eval_accuracy": 0.6895306859205776,
24
- "eval_loss": 0.6575530171394348,
25
- "eval_runtime": 0.6355,
26
- "eval_samples_per_second": 435.845,
27
- "eval_steps_per_second": 14.161,
28
  "step": 78
29
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
30
  {
31
  "epoch": 3.0,
32
- "eval_accuracy": 0.6714801444043321,
33
- "eval_loss": 0.7819653749465942,
34
- "eval_runtime": 0.6474,
35
- "eval_samples_per_second": 427.864,
36
- "eval_steps_per_second": 13.902,
37
  "step": 117
38
  }
39
  ],
40
- "logging_steps": 500,
41
  "max_steps": 195,
42
  "num_input_tokens_seen": 0,
43
  "num_train_epochs": 5,
@@ -54,7 +131,7 @@
54
  "attributes": {}
55
  }
56
  },
57
- "total_flos": 0,
58
  "train_batch_size": 64,
59
  "trial_name": null,
60
  "trial_params": {
 
1
  {
2
+ "best_global_step": 117,
3
+ "best_metric": 0.7003610108303249,
4
+ "best_model_checkpoint": "bert-base-uncased-finetuned-rte-run_3/run-1/checkpoint-117",
5
  "epoch": 3.0,
6
  "eval_steps": 500,
7
  "global_step": 117,
 
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
11
  "log_history": [
12
+ {
13
+ "epoch": 0.2564102564102564,
14
+ "grad_norm": 1.6625864505767822,
15
+ "learning_rate": 9.487179487179487e-05,
16
+ "loss": 0.696,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.5128205128205128,
21
+ "grad_norm": 2.0310187339782715,
22
+ "learning_rate": 8.974358974358975e-05,
23
+ "loss": 0.6793,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.7692307692307693,
28
+ "grad_norm": 4.6874542236328125,
29
+ "learning_rate": 8.461538461538461e-05,
30
+ "loss": 0.6504,
31
+ "step": 30
32
+ },
33
  {
34
  "epoch": 1.0,
35
+ "eval_accuracy": 0.6173285198555957,
36
+ "eval_loss": 0.635858952999115,
37
+ "eval_runtime": 0.6367,
38
+ "eval_samples_per_second": 435.081,
39
+ "eval_steps_per_second": 14.136,
40
  "step": 39
41
  },
42
+ {
43
+ "epoch": 1.0256410256410255,
44
+ "grad_norm": 2.9923806190490723,
45
+ "learning_rate": 7.948717948717948e-05,
46
+ "loss": 0.6828,
47
+ "step": 40
48
+ },
49
+ {
50
+ "epoch": 1.282051282051282,
51
+ "grad_norm": 5.838254928588867,
52
+ "learning_rate": 7.435897435897436e-05,
53
+ "loss": 0.5479,
54
+ "step": 50
55
+ },
56
+ {
57
+ "epoch": 1.5384615384615383,
58
+ "grad_norm": 11.470205307006836,
59
+ "learning_rate": 6.923076923076924e-05,
60
+ "loss": 0.5428,
61
+ "step": 60
62
+ },
63
+ {
64
+ "epoch": 1.7948717948717947,
65
+ "grad_norm": 6.020153045654297,
66
+ "learning_rate": 6.410256410256412e-05,
67
+ "loss": 0.5377,
68
+ "step": 70
69
+ },
70
  {
71
  "epoch": 2.0,
72
  "eval_accuracy": 0.6895306859205776,
73
+ "eval_loss": 0.655694842338562,
74
+ "eval_runtime": 0.6409,
75
+ "eval_samples_per_second": 432.172,
76
+ "eval_steps_per_second": 14.042,
77
  "step": 78
78
  },
79
+ {
80
+ "epoch": 2.051282051282051,
81
+ "grad_norm": 6.008265018463135,
82
+ "learning_rate": 5.897435897435898e-05,
83
+ "loss": 0.4698,
84
+ "step": 80
85
+ },
86
+ {
87
+ "epoch": 2.3076923076923075,
88
+ "grad_norm": 3.914435386657715,
89
+ "learning_rate": 5.384615384615385e-05,
90
+ "loss": 0.3238,
91
+ "step": 90
92
+ },
93
+ {
94
+ "epoch": 2.564102564102564,
95
+ "grad_norm": 5.716212749481201,
96
+ "learning_rate": 4.871794871794872e-05,
97
+ "loss": 0.3333,
98
+ "step": 100
99
+ },
100
+ {
101
+ "epoch": 2.8205128205128203,
102
+ "grad_norm": 4.88173246383667,
103
+ "learning_rate": 4.358974358974359e-05,
104
+ "loss": 0.2856,
105
+ "step": 110
106
+ },
107
  {
108
  "epoch": 3.0,
109
+ "eval_accuracy": 0.7003610108303249,
110
+ "eval_loss": 0.6911355257034302,
111
+ "eval_runtime": 0.6387,
112
+ "eval_samples_per_second": 433.671,
113
+ "eval_steps_per_second": 14.09,
114
  "step": 117
115
  }
116
  ],
117
+ "logging_steps": 10,
118
  "max_steps": 195,
119
  "num_input_tokens_seen": 0,
120
  "num_train_epochs": 5,
 
131
  "attributes": {}
132
  }
133
  },
134
+ "total_flos": 718007458971120.0,
135
  "train_batch_size": 64,
136
  "trial_name": null,
137
  "trial_params": {
run-1/checkpoint-156/trainer_state.json CHANGED
@@ -1,7 +1,7 @@
1
  {
2
- "best_global_step": 78,
3
- "best_metric": 0.6895306859205776,
4
- "best_model_checkpoint": "bert-base-uncased-finetuned-rte-run_3/run-1/checkpoint-78",
5
  "epoch": 4.0,
6
  "eval_steps": 500,
7
  "global_step": 156,
@@ -9,44 +9,149 @@
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
11
  "log_history": [
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
12
  {
13
  "epoch": 1.0,
14
- "eval_accuracy": 0.6570397111913358,
15
- "eval_loss": 0.6302457451820374,
16
- "eval_runtime": 0.6387,
17
- "eval_samples_per_second": 433.698,
18
- "eval_steps_per_second": 14.091,
19
  "step": 39
20
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
21
  {
22
  "epoch": 2.0,
23
  "eval_accuracy": 0.6895306859205776,
24
- "eval_loss": 0.6575530171394348,
25
- "eval_runtime": 0.6355,
26
- "eval_samples_per_second": 435.845,
27
- "eval_steps_per_second": 14.161,
28
  "step": 78
29
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
30
  {
31
  "epoch": 3.0,
32
- "eval_accuracy": 0.6714801444043321,
33
- "eval_loss": 0.7819653749465942,
34
- "eval_runtime": 0.6474,
35
- "eval_samples_per_second": 427.864,
36
- "eval_steps_per_second": 13.902,
37
  "step": 117
38
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
39
  {
40
  "epoch": 4.0,
41
- "eval_accuracy": 0.6859205776173285,
42
- "eval_loss": 1.0000327825546265,
43
- "eval_runtime": 0.6479,
44
- "eval_samples_per_second": 427.507,
45
- "eval_steps_per_second": 13.89,
46
  "step": 156
47
  }
48
  ],
49
- "logging_steps": 500,
50
  "max_steps": 195,
51
  "num_input_tokens_seen": 0,
52
  "num_train_epochs": 5,
@@ -63,7 +168,7 @@
63
  "attributes": {}
64
  }
65
  },
66
- "total_flos": 0,
67
  "train_batch_size": 64,
68
  "trial_name": null,
69
  "trial_params": {
 
1
  {
2
+ "best_global_step": 156,
3
+ "best_metric": 0.7148014440433214,
4
+ "best_model_checkpoint": "bert-base-uncased-finetuned-rte-run_3/run-1/checkpoint-156",
5
  "epoch": 4.0,
6
  "eval_steps": 500,
7
  "global_step": 156,
 
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
11
  "log_history": [
12
+ {
13
+ "epoch": 0.2564102564102564,
14
+ "grad_norm": 1.6625864505767822,
15
+ "learning_rate": 9.487179487179487e-05,
16
+ "loss": 0.696,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.5128205128205128,
21
+ "grad_norm": 2.0310187339782715,
22
+ "learning_rate": 8.974358974358975e-05,
23
+ "loss": 0.6793,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.7692307692307693,
28
+ "grad_norm": 4.6874542236328125,
29
+ "learning_rate": 8.461538461538461e-05,
30
+ "loss": 0.6504,
31
+ "step": 30
32
+ },
33
  {
34
  "epoch": 1.0,
35
+ "eval_accuracy": 0.6173285198555957,
36
+ "eval_loss": 0.635858952999115,
37
+ "eval_runtime": 0.6367,
38
+ "eval_samples_per_second": 435.081,
39
+ "eval_steps_per_second": 14.136,
40
  "step": 39
41
  },
42
+ {
43
+ "epoch": 1.0256410256410255,
44
+ "grad_norm": 2.9923806190490723,
45
+ "learning_rate": 7.948717948717948e-05,
46
+ "loss": 0.6828,
47
+ "step": 40
48
+ },
49
+ {
50
+ "epoch": 1.282051282051282,
51
+ "grad_norm": 5.838254928588867,
52
+ "learning_rate": 7.435897435897436e-05,
53
+ "loss": 0.5479,
54
+ "step": 50
55
+ },
56
+ {
57
+ "epoch": 1.5384615384615383,
58
+ "grad_norm": 11.470205307006836,
59
+ "learning_rate": 6.923076923076924e-05,
60
+ "loss": 0.5428,
61
+ "step": 60
62
+ },
63
+ {
64
+ "epoch": 1.7948717948717947,
65
+ "grad_norm": 6.020153045654297,
66
+ "learning_rate": 6.410256410256412e-05,
67
+ "loss": 0.5377,
68
+ "step": 70
69
+ },
70
  {
71
  "epoch": 2.0,
72
  "eval_accuracy": 0.6895306859205776,
73
+ "eval_loss": 0.655694842338562,
74
+ "eval_runtime": 0.6409,
75
+ "eval_samples_per_second": 432.172,
76
+ "eval_steps_per_second": 14.042,
77
  "step": 78
78
  },
79
+ {
80
+ "epoch": 2.051282051282051,
81
+ "grad_norm": 6.008265018463135,
82
+ "learning_rate": 5.897435897435898e-05,
83
+ "loss": 0.4698,
84
+ "step": 80
85
+ },
86
+ {
87
+ "epoch": 2.3076923076923075,
88
+ "grad_norm": 3.914435386657715,
89
+ "learning_rate": 5.384615384615385e-05,
90
+ "loss": 0.3238,
91
+ "step": 90
92
+ },
93
+ {
94
+ "epoch": 2.564102564102564,
95
+ "grad_norm": 5.716212749481201,
96
+ "learning_rate": 4.871794871794872e-05,
97
+ "loss": 0.3333,
98
+ "step": 100
99
+ },
100
+ {
101
+ "epoch": 2.8205128205128203,
102
+ "grad_norm": 4.88173246383667,
103
+ "learning_rate": 4.358974358974359e-05,
104
+ "loss": 0.2856,
105
+ "step": 110
106
+ },
107
  {
108
  "epoch": 3.0,
109
+ "eval_accuracy": 0.7003610108303249,
110
+ "eval_loss": 0.6911355257034302,
111
+ "eval_runtime": 0.6387,
112
+ "eval_samples_per_second": 433.671,
113
+ "eval_steps_per_second": 14.09,
114
  "step": 117
115
  },
116
+ {
117
+ "epoch": 3.076923076923077,
118
+ "grad_norm": 2.6747496128082275,
119
+ "learning_rate": 3.846153846153846e-05,
120
+ "loss": 0.2572,
121
+ "step": 120
122
+ },
123
+ {
124
+ "epoch": 3.3333333333333335,
125
+ "grad_norm": 12.598614692687988,
126
+ "learning_rate": 3.3333333333333335e-05,
127
+ "loss": 0.1804,
128
+ "step": 130
129
+ },
130
+ {
131
+ "epoch": 3.58974358974359,
132
+ "grad_norm": 3.0282769203186035,
133
+ "learning_rate": 2.8205128205128207e-05,
134
+ "loss": 0.154,
135
+ "step": 140
136
+ },
137
+ {
138
+ "epoch": 3.8461538461538463,
139
+ "grad_norm": 4.283105850219727,
140
+ "learning_rate": 2.307692307692308e-05,
141
+ "loss": 0.1396,
142
+ "step": 150
143
+ },
144
  {
145
  "epoch": 4.0,
146
+ "eval_accuracy": 0.7148014440433214,
147
+ "eval_loss": 0.8559210896492004,
148
+ "eval_runtime": 0.6397,
149
+ "eval_samples_per_second": 433.035,
150
+ "eval_steps_per_second": 14.07,
151
  "step": 156
152
  }
153
  ],
154
+ "logging_steps": 10,
155
  "max_steps": 195,
156
  "num_input_tokens_seen": 0,
157
  "num_train_epochs": 5,
 
168
  "attributes": {}
169
  }
170
  },
171
+ "total_flos": 971430683050560.0,
172
  "train_batch_size": 64,
173
  "trial_name": null,
174
  "trial_params": {
run-1/checkpoint-195/trainer_state.json CHANGED
@@ -1,7 +1,7 @@
1
  {
2
- "best_global_step": 78,
3
- "best_metric": 0.6895306859205776,
4
- "best_model_checkpoint": "bert-base-uncased-finetuned-rte-run_3/run-1/checkpoint-78",
5
  "epoch": 5.0,
6
  "eval_steps": 500,
7
  "global_step": 195,
@@ -9,53 +9,186 @@
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
11
  "log_history": [
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
12
  {
13
  "epoch": 1.0,
14
- "eval_accuracy": 0.6570397111913358,
15
- "eval_loss": 0.6302457451820374,
16
- "eval_runtime": 0.6387,
17
- "eval_samples_per_second": 433.698,
18
- "eval_steps_per_second": 14.091,
19
  "step": 39
20
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
21
  {
22
  "epoch": 2.0,
23
  "eval_accuracy": 0.6895306859205776,
24
- "eval_loss": 0.6575530171394348,
25
- "eval_runtime": 0.6355,
26
- "eval_samples_per_second": 435.845,
27
- "eval_steps_per_second": 14.161,
28
  "step": 78
29
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
30
  {
31
  "epoch": 3.0,
32
- "eval_accuracy": 0.6714801444043321,
33
- "eval_loss": 0.7819653749465942,
34
- "eval_runtime": 0.6474,
35
- "eval_samples_per_second": 427.864,
36
- "eval_steps_per_second": 13.902,
37
  "step": 117
38
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
39
  {
40
  "epoch": 4.0,
41
- "eval_accuracy": 0.6859205776173285,
42
- "eval_loss": 1.0000327825546265,
43
- "eval_runtime": 0.6479,
44
- "eval_samples_per_second": 427.507,
45
- "eval_steps_per_second": 13.89,
46
  "step": 156
47
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
48
  {
49
  "epoch": 5.0,
50
- "eval_accuracy": 0.6750902527075813,
51
- "eval_loss": 1.1014820337295532,
52
- "eval_runtime": 0.637,
53
- "eval_samples_per_second": 434.837,
54
- "eval_steps_per_second": 14.128,
55
  "step": 195
56
  }
57
  ],
58
- "logging_steps": 500,
59
  "max_steps": 195,
60
  "num_input_tokens_seen": 0,
61
  "num_train_epochs": 5,
@@ -72,7 +205,7 @@
72
  "attributes": {}
73
  }
74
  },
75
- "total_flos": 0,
76
  "train_batch_size": 64,
77
  "trial_name": null,
78
  "trial_params": {
 
1
  {
2
+ "best_global_step": 195,
3
+ "best_metric": 0.7184115523465704,
4
+ "best_model_checkpoint": "bert-base-uncased-finetuned-rte-run_3/run-1/checkpoint-195",
5
  "epoch": 5.0,
6
  "eval_steps": 500,
7
  "global_step": 195,
 
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
11
  "log_history": [
12
+ {
13
+ "epoch": 0.2564102564102564,
14
+ "grad_norm": 1.6625864505767822,
15
+ "learning_rate": 9.487179487179487e-05,
16
+ "loss": 0.696,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.5128205128205128,
21
+ "grad_norm": 2.0310187339782715,
22
+ "learning_rate": 8.974358974358975e-05,
23
+ "loss": 0.6793,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.7692307692307693,
28
+ "grad_norm": 4.6874542236328125,
29
+ "learning_rate": 8.461538461538461e-05,
30
+ "loss": 0.6504,
31
+ "step": 30
32
+ },
33
  {
34
  "epoch": 1.0,
35
+ "eval_accuracy": 0.6173285198555957,
36
+ "eval_loss": 0.635858952999115,
37
+ "eval_runtime": 0.6367,
38
+ "eval_samples_per_second": 435.081,
39
+ "eval_steps_per_second": 14.136,
40
  "step": 39
41
  },
42
+ {
43
+ "epoch": 1.0256410256410255,
44
+ "grad_norm": 2.9923806190490723,
45
+ "learning_rate": 7.948717948717948e-05,
46
+ "loss": 0.6828,
47
+ "step": 40
48
+ },
49
+ {
50
+ "epoch": 1.282051282051282,
51
+ "grad_norm": 5.838254928588867,
52
+ "learning_rate": 7.435897435897436e-05,
53
+ "loss": 0.5479,
54
+ "step": 50
55
+ },
56
+ {
57
+ "epoch": 1.5384615384615383,
58
+ "grad_norm": 11.470205307006836,
59
+ "learning_rate": 6.923076923076924e-05,
60
+ "loss": 0.5428,
61
+ "step": 60
62
+ },
63
+ {
64
+ "epoch": 1.7948717948717947,
65
+ "grad_norm": 6.020153045654297,
66
+ "learning_rate": 6.410256410256412e-05,
67
+ "loss": 0.5377,
68
+ "step": 70
69
+ },
70
  {
71
  "epoch": 2.0,
72
  "eval_accuracy": 0.6895306859205776,
73
+ "eval_loss": 0.655694842338562,
74
+ "eval_runtime": 0.6409,
75
+ "eval_samples_per_second": 432.172,
76
+ "eval_steps_per_second": 14.042,
77
  "step": 78
78
  },
79
+ {
80
+ "epoch": 2.051282051282051,
81
+ "grad_norm": 6.008265018463135,
82
+ "learning_rate": 5.897435897435898e-05,
83
+ "loss": 0.4698,
84
+ "step": 80
85
+ },
86
+ {
87
+ "epoch": 2.3076923076923075,
88
+ "grad_norm": 3.914435386657715,
89
+ "learning_rate": 5.384615384615385e-05,
90
+ "loss": 0.3238,
91
+ "step": 90
92
+ },
93
+ {
94
+ "epoch": 2.564102564102564,
95
+ "grad_norm": 5.716212749481201,
96
+ "learning_rate": 4.871794871794872e-05,
97
+ "loss": 0.3333,
98
+ "step": 100
99
+ },
100
+ {
101
+ "epoch": 2.8205128205128203,
102
+ "grad_norm": 4.88173246383667,
103
+ "learning_rate": 4.358974358974359e-05,
104
+ "loss": 0.2856,
105
+ "step": 110
106
+ },
107
  {
108
  "epoch": 3.0,
109
+ "eval_accuracy": 0.7003610108303249,
110
+ "eval_loss": 0.6911355257034302,
111
+ "eval_runtime": 0.6387,
112
+ "eval_samples_per_second": 433.671,
113
+ "eval_steps_per_second": 14.09,
114
  "step": 117
115
  },
116
+ {
117
+ "epoch": 3.076923076923077,
118
+ "grad_norm": 2.6747496128082275,
119
+ "learning_rate": 3.846153846153846e-05,
120
+ "loss": 0.2572,
121
+ "step": 120
122
+ },
123
+ {
124
+ "epoch": 3.3333333333333335,
125
+ "grad_norm": 12.598614692687988,
126
+ "learning_rate": 3.3333333333333335e-05,
127
+ "loss": 0.1804,
128
+ "step": 130
129
+ },
130
+ {
131
+ "epoch": 3.58974358974359,
132
+ "grad_norm": 3.0282769203186035,
133
+ "learning_rate": 2.8205128205128207e-05,
134
+ "loss": 0.154,
135
+ "step": 140
136
+ },
137
+ {
138
+ "epoch": 3.8461538461538463,
139
+ "grad_norm": 4.283105850219727,
140
+ "learning_rate": 2.307692307692308e-05,
141
+ "loss": 0.1396,
142
+ "step": 150
143
+ },
144
  {
145
  "epoch": 4.0,
146
+ "eval_accuracy": 0.7148014440433214,
147
+ "eval_loss": 0.8559210896492004,
148
+ "eval_runtime": 0.6397,
149
+ "eval_samples_per_second": 433.035,
150
+ "eval_steps_per_second": 14.07,
151
  "step": 156
152
  },
153
+ {
154
+ "epoch": 4.102564102564102,
155
+ "grad_norm": 2.513899564743042,
156
+ "learning_rate": 1.794871794871795e-05,
157
+ "loss": 0.1126,
158
+ "step": 160
159
+ },
160
+ {
161
+ "epoch": 4.358974358974359,
162
+ "grad_norm": 5.151243209838867,
163
+ "learning_rate": 1.282051282051282e-05,
164
+ "loss": 0.0718,
165
+ "step": 170
166
+ },
167
+ {
168
+ "epoch": 4.615384615384615,
169
+ "grad_norm": 3.647749423980713,
170
+ "learning_rate": 7.692307692307694e-06,
171
+ "loss": 0.0471,
172
+ "step": 180
173
+ },
174
+ {
175
+ "epoch": 4.871794871794872,
176
+ "grad_norm": 2.2977404594421387,
177
+ "learning_rate": 2.564102564102564e-06,
178
+ "loss": 0.0753,
179
+ "step": 190
180
+ },
181
  {
182
  "epoch": 5.0,
183
+ "eval_accuracy": 0.7184115523465704,
184
+ "eval_loss": 1.0575038194656372,
185
+ "eval_runtime": 0.643,
186
+ "eval_samples_per_second": 430.784,
187
+ "eval_steps_per_second": 13.997,
188
  "step": 195
189
  }
190
  ],
191
+ "logging_steps": 10,
192
  "max_steps": 195,
193
  "num_input_tokens_seen": 0,
194
  "num_train_epochs": 5,
 
205
  "attributes": {}
206
  }
207
  },
208
+ "total_flos": 1230830433641400.0,
209
  "train_batch_size": 64,
210
  "trial_name": null,
211
  "trial_params": {
run-1/checkpoint-39/model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4950ee24f30f03a15da573885ef4f5a550ec43401bd10183ed896ec546cb2b94
3
  size 437958648
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ee88e6717263c77a0f03100cc35fa96932239afe69dfed14459f1fe5653ba1ec
3
  size 437958648
run-1/checkpoint-39/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:454df7d9bd4efad84c1ff895b9d617d3ea94beba61c8912b16c69a42d94a254a
3
  size 876038394
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:050edea9509040a97c466e80b805ce4bb13c72cf46c38be765b0aa4f1629e0bf
3
  size 876038394
run-1/checkpoint-39/trainer_state.json CHANGED
@@ -1,6 +1,6 @@
1
  {
2
  "best_global_step": 39,
3
- "best_metric": 0.6570397111913358,
4
  "best_model_checkpoint": "bert-base-uncased-finetuned-rte-run_3/run-1/checkpoint-39",
5
  "epoch": 1.0,
6
  "eval_steps": 500,
@@ -9,17 +9,38 @@
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
11
  "log_history": [
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
12
  {
13
  "epoch": 1.0,
14
- "eval_accuracy": 0.6570397111913358,
15
- "eval_loss": 0.6302457451820374,
16
- "eval_runtime": 0.6387,
17
- "eval_samples_per_second": 433.698,
18
- "eval_steps_per_second": 14.091,
19
  "step": 39
20
  }
21
  ],
22
- "logging_steps": 500,
23
  "max_steps": 195,
24
  "num_input_tokens_seen": 0,
25
  "num_train_epochs": 5,
@@ -36,7 +57,7 @@
36
  "attributes": {}
37
  }
38
  },
39
- "total_flos": 0,
40
  "train_batch_size": 64,
41
  "trial_name": null,
42
  "trial_params": {
 
1
  {
2
  "best_global_step": 39,
3
+ "best_metric": 0.6173285198555957,
4
  "best_model_checkpoint": "bert-base-uncased-finetuned-rte-run_3/run-1/checkpoint-39",
5
  "epoch": 1.0,
6
  "eval_steps": 500,
 
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
11
  "log_history": [
12
+ {
13
+ "epoch": 0.2564102564102564,
14
+ "grad_norm": 1.6625864505767822,
15
+ "learning_rate": 9.487179487179487e-05,
16
+ "loss": 0.696,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.5128205128205128,
21
+ "grad_norm": 2.0310187339782715,
22
+ "learning_rate": 8.974358974358975e-05,
23
+ "loss": 0.6793,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.7692307692307693,
28
+ "grad_norm": 4.6874542236328125,
29
+ "learning_rate": 8.461538461538461e-05,
30
+ "loss": 0.6504,
31
+ "step": 30
32
+ },
33
  {
34
  "epoch": 1.0,
35
+ "eval_accuracy": 0.6173285198555957,
36
+ "eval_loss": 0.635858952999115,
37
+ "eval_runtime": 0.6367,
38
+ "eval_samples_per_second": 435.081,
39
+ "eval_steps_per_second": 14.136,
40
  "step": 39
41
  }
42
  ],
43
+ "logging_steps": 10,
44
  "max_steps": 195,
45
  "num_input_tokens_seen": 0,
46
  "num_train_epochs": 5,
 
57
  "attributes": {}
58
  }
59
  },
60
+ "total_flos": 194932403139840.0,
61
  "train_batch_size": 64,
62
  "trial_name": null,
63
  "trial_params": {
run-1/checkpoint-39/training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:638657d2294b16b6a018ef8c4921c705157459687a72f242b7f437400a9b1e8a
3
- size 5432
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ae96125486481670db20065f4109e420c062152dc014578dda8c216f7705ceba
3
+ size 5368
run-1/checkpoint-78/model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:cf1e36fde00996e3f2b73551fcd782119ce7c5d0a6afaa777a1c8449968bf933
3
  size 437958648
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6d0ef39d6541dd1c5ccf5898ba411fc412bc3cd59054fe9e43b414186cedc079
3
  size 437958648
run-1/checkpoint-78/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6ea17d384de4432779b205f7807510f44ae5c1174daabaaf9f252bfed0a817a6
3
  size 876038394
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:108f1d7db984131dac0bd5fc4638a9596f3439a893c9b1d10ef16e23c7c30c39
3
  size 876038394
run-1/checkpoint-78/trainer_state.json CHANGED
@@ -9,26 +9,75 @@
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
11
  "log_history": [
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
12
  {
13
  "epoch": 1.0,
14
- "eval_accuracy": 0.6570397111913358,
15
- "eval_loss": 0.6302457451820374,
16
- "eval_runtime": 0.6387,
17
- "eval_samples_per_second": 433.698,
18
- "eval_steps_per_second": 14.091,
19
  "step": 39
20
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
21
  {
22
  "epoch": 2.0,
23
  "eval_accuracy": 0.6895306859205776,
24
- "eval_loss": 0.6575530171394348,
25
- "eval_runtime": 0.6355,
26
- "eval_samples_per_second": 435.845,
27
- "eval_steps_per_second": 14.161,
28
  "step": 78
29
  }
30
  ],
31
- "logging_steps": 500,
32
  "max_steps": 195,
33
  "num_input_tokens_seen": 0,
34
  "num_train_epochs": 5,
@@ -45,7 +94,7 @@
45
  "attributes": {}
46
  }
47
  },
48
- "total_flos": 0,
49
  "train_batch_size": 64,
50
  "trial_name": null,
51
  "trial_params": {
 
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
11
  "log_history": [
12
+ {
13
+ "epoch": 0.2564102564102564,
14
+ "grad_norm": 1.6625864505767822,
15
+ "learning_rate": 9.487179487179487e-05,
16
+ "loss": 0.696,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.5128205128205128,
21
+ "grad_norm": 2.0310187339782715,
22
+ "learning_rate": 8.974358974358975e-05,
23
+ "loss": 0.6793,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.7692307692307693,
28
+ "grad_norm": 4.6874542236328125,
29
+ "learning_rate": 8.461538461538461e-05,
30
+ "loss": 0.6504,
31
+ "step": 30
32
+ },
33
  {
34
  "epoch": 1.0,
35
+ "eval_accuracy": 0.6173285198555957,
36
+ "eval_loss": 0.635858952999115,
37
+ "eval_runtime": 0.6367,
38
+ "eval_samples_per_second": 435.081,
39
+ "eval_steps_per_second": 14.136,
40
  "step": 39
41
  },
42
+ {
43
+ "epoch": 1.0256410256410255,
44
+ "grad_norm": 2.9923806190490723,
45
+ "learning_rate": 7.948717948717948e-05,
46
+ "loss": 0.6828,
47
+ "step": 40
48
+ },
49
+ {
50
+ "epoch": 1.282051282051282,
51
+ "grad_norm": 5.838254928588867,
52
+ "learning_rate": 7.435897435897436e-05,
53
+ "loss": 0.5479,
54
+ "step": 50
55
+ },
56
+ {
57
+ "epoch": 1.5384615384615383,
58
+ "grad_norm": 11.470205307006836,
59
+ "learning_rate": 6.923076923076924e-05,
60
+ "loss": 0.5428,
61
+ "step": 60
62
+ },
63
+ {
64
+ "epoch": 1.7948717948717947,
65
+ "grad_norm": 6.020153045654297,
66
+ "learning_rate": 6.410256410256412e-05,
67
+ "loss": 0.5377,
68
+ "step": 70
69
+ },
70
  {
71
  "epoch": 2.0,
72
  "eval_accuracy": 0.6895306859205776,
73
+ "eval_loss": 0.655694842338562,
74
+ "eval_runtime": 0.6409,
75
+ "eval_samples_per_second": 432.172,
76
+ "eval_steps_per_second": 14.042,
77
  "step": 78
78
  }
79
  ],
80
+ "logging_steps": 10,
81
  "max_steps": 195,
82
  "num_input_tokens_seen": 0,
83
  "num_train_epochs": 5,
 
94
  "attributes": {}
95
  }
96
  },
97
+ "total_flos": 457788569664960.0,
98
  "train_batch_size": 64,
99
  "trial_name": null,
100
  "trial_params": {
run-1/checkpoint-78/training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:638657d2294b16b6a018ef8c4921c705157459687a72f242b7f437400a9b1e8a
3
- size 5432
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ae96125486481670db20065f4109e420c062152dc014578dda8c216f7705ceba
3
+ size 5368