inflaton commited on
Commit
e177c9b
1 Parent(s): eed1c32

Training in progress, step 1500

Browse files
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:eee2a2f79e4db555ff39f348159a76ec37cf57dfde6ccde182981e670a0c5166
3
  size 1340618660
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:06b139261e238ab62a904d642d77045bd52b72cb41a920f8faedf2668778a311
3
  size 1340618660
run-11/checkpoint-1000/config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "bert-large-uncased",
3
+ "architectures": [
4
+ "BertForMultipleChoice"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "gradient_checkpointing": false,
9
+ "hidden_act": "gelu",
10
+ "hidden_dropout_prob": 0.1,
11
+ "hidden_size": 1024,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 4096,
14
+ "layer_norm_eps": 1e-12,
15
+ "max_position_embeddings": 512,
16
+ "model_type": "bert",
17
+ "num_attention_heads": 16,
18
+ "num_hidden_layers": 24,
19
+ "pad_token_id": 0,
20
+ "position_embedding_type": "absolute",
21
+ "torch_dtype": "float32",
22
+ "transformers_version": "4.40.1",
23
+ "type_vocab_size": 2,
24
+ "use_cache": true,
25
+ "vocab_size": 30522
26
+ }
run-11/checkpoint-1000/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1c1cdb94f2fbf5baa0f5c33b1f8b5113d761e418c4d1bb81fdb780ae0792a2d4
3
+ size 1340618660
run-11/checkpoint-1000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:359faa124b464a7cd991c684e77b936292b1de030c5a80a61b6821d532b1d29c
3
+ size 2681472237
run-11/checkpoint-1000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f2cdfcea7c19f545a5c3968413dcd70b32c860d464dd9abffbe95cff448fb946
3
+ size 14244
run-11/checkpoint-1000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c3fa8681bccfea067da420b5d1a580094c846eaa191f86a64f50ab236305ea7c
3
+ size 1064
run-11/checkpoint-1000/special_tokens_map.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": "[CLS]",
3
+ "mask_token": "[MASK]",
4
+ "pad_token": "[PAD]",
5
+ "sep_token": "[SEP]",
6
+ "unk_token": "[UNK]"
7
+ }
run-11/checkpoint-1000/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
run-11/checkpoint-1000/tokenizer_config.json ADDED
@@ -0,0 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "[PAD]",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "100": {
12
+ "content": "[UNK]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "101": {
20
+ "content": "[CLS]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "102": {
28
+ "content": "[SEP]",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "103": {
36
+ "content": "[MASK]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "clean_up_tokenization_spaces": true,
45
+ "cls_token": "[CLS]",
46
+ "do_lower_case": true,
47
+ "mask_token": "[MASK]",
48
+ "model_max_length": 512,
49
+ "pad_token": "[PAD]",
50
+ "sep_token": "[SEP]",
51
+ "strip_accents": null,
52
+ "tokenize_chinese_chars": true,
53
+ "tokenizer_class": "BertTokenizer",
54
+ "unk_token": "[UNK]"
55
+ }
run-11/checkpoint-1000/trainer_state.json ADDED
@@ -0,0 +1,83 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 5.347593582887701,
5
+ "eval_steps": 500,
6
+ "global_step": 1000,
7
+ "is_hyper_param_search": true,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 1.0,
13
+ "eval_accuracy": 0.7442172169685364,
14
+ "eval_loss": 0.49692073464393616,
15
+ "eval_runtime": 8.8409,
16
+ "eval_samples_per_second": 337.409,
17
+ "eval_steps_per_second": 21.152,
18
+ "step": 187
19
+ },
20
+ {
21
+ "epoch": 2.0,
22
+ "eval_accuracy": 0.7606436610221863,
23
+ "eval_loss": 0.513149082660675,
24
+ "eval_runtime": 8.9936,
25
+ "eval_samples_per_second": 331.679,
26
+ "eval_steps_per_second": 20.792,
27
+ "step": 374
28
+ },
29
+ {
30
+ "epoch": 2.6737967914438503,
31
+ "grad_norm": 6.438678741455078,
32
+ "learning_rate": 1.6734897456112568e-05,
33
+ "loss": 0.3861,
34
+ "step": 500
35
+ },
36
+ {
37
+ "epoch": 3.0,
38
+ "eval_accuracy": 0.7656721472740173,
39
+ "eval_loss": 0.6351237893104553,
40
+ "eval_runtime": 8.9057,
41
+ "eval_samples_per_second": 334.954,
42
+ "eval_steps_per_second": 20.998,
43
+ "step": 561
44
+ },
45
+ {
46
+ "epoch": 4.0,
47
+ "eval_accuracy": 0.763660728931427,
48
+ "eval_loss": 0.8534680008888245,
49
+ "eval_runtime": 8.9937,
50
+ "eval_samples_per_second": 331.677,
51
+ "eval_steps_per_second": 20.792,
52
+ "step": 748
53
+ },
54
+ {
55
+ "epoch": 5.0,
56
+ "eval_accuracy": 0.7680187821388245,
57
+ "eval_loss": 1.0246423482894897,
58
+ "eval_runtime": 8.9711,
59
+ "eval_samples_per_second": 332.511,
60
+ "eval_steps_per_second": 20.845,
61
+ "step": 935
62
+ },
63
+ {
64
+ "epoch": 5.347593582887701,
65
+ "grad_norm": 4.004021644592285,
66
+ "learning_rate": 1.062727064731236e-05,
67
+ "loss": 0.084,
68
+ "step": 1000
69
+ }
70
+ ],
71
+ "logging_steps": 500,
72
+ "max_steps": 1870,
73
+ "num_input_tokens_seen": 0,
74
+ "num_train_epochs": 10,
75
+ "save_steps": 500,
76
+ "total_flos": 1.0895504027404356e+16,
77
+ "train_batch_size": 64,
78
+ "trial_name": null,
79
+ "trial_params": {
80
+ "learning_rate": 2.2842524264912772e-05,
81
+ "per_device_train_batch_size": 64
82
+ }
83
+ }
run-11/checkpoint-1000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:752e2b1de4ef6590ab15353edd43d492d68f23094e8b6b6a922d5d42c5f7bd77
3
+ size 5048
run-11/checkpoint-1000/vocab.txt ADDED
The diff for this file is too large to render. See raw diff
 
run-11/checkpoint-1500/config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "bert-large-uncased",
3
+ "architectures": [
4
+ "BertForMultipleChoice"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "gradient_checkpointing": false,
9
+ "hidden_act": "gelu",
10
+ "hidden_dropout_prob": 0.1,
11
+ "hidden_size": 1024,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 4096,
14
+ "layer_norm_eps": 1e-12,
15
+ "max_position_embeddings": 512,
16
+ "model_type": "bert",
17
+ "num_attention_heads": 16,
18
+ "num_hidden_layers": 24,
19
+ "pad_token_id": 0,
20
+ "position_embedding_type": "absolute",
21
+ "torch_dtype": "float32",
22
+ "transformers_version": "4.40.1",
23
+ "type_vocab_size": 2,
24
+ "use_cache": true,
25
+ "vocab_size": 30522
26
+ }
run-11/checkpoint-1500/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:06b139261e238ab62a904d642d77045bd52b72cb41a920f8faedf2668778a311
3
+ size 1340618660
run-11/checkpoint-1500/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c5709ff85824d84c222c423c446f3b4ff5b72cec558ef4509182e69f5eee783e
3
+ size 2681472237
run-11/checkpoint-1500/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fff9554be5662c81dc5324c0ba82c1e4075d9a58be3ecf2692e8a0f7f508c509
3
+ size 14244
run-11/checkpoint-1500/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1d8d29c4331b74a3e23178294e7a16685e0b1ade006480be1315eecc80604fb7
3
+ size 1064
run-11/checkpoint-1500/special_tokens_map.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": "[CLS]",
3
+ "mask_token": "[MASK]",
4
+ "pad_token": "[PAD]",
5
+ "sep_token": "[SEP]",
6
+ "unk_token": "[UNK]"
7
+ }
run-11/checkpoint-1500/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
run-11/checkpoint-1500/tokenizer_config.json ADDED
@@ -0,0 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "[PAD]",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "100": {
12
+ "content": "[UNK]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "101": {
20
+ "content": "[CLS]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "102": {
28
+ "content": "[SEP]",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "103": {
36
+ "content": "[MASK]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "clean_up_tokenization_spaces": true,
45
+ "cls_token": "[CLS]",
46
+ "do_lower_case": true,
47
+ "mask_token": "[MASK]",
48
+ "model_max_length": 512,
49
+ "pad_token": "[PAD]",
50
+ "sep_token": "[SEP]",
51
+ "strip_accents": null,
52
+ "tokenize_chinese_chars": true,
53
+ "tokenizer_class": "BertTokenizer",
54
+ "unk_token": "[UNK]"
55
+ }
run-11/checkpoint-1500/trainer_state.json ADDED
@@ -0,0 +1,117 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 8.02139037433155,
5
+ "eval_steps": 500,
6
+ "global_step": 1500,
7
+ "is_hyper_param_search": true,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 1.0,
13
+ "eval_accuracy": 0.7442172169685364,
14
+ "eval_loss": 0.49692073464393616,
15
+ "eval_runtime": 8.8409,
16
+ "eval_samples_per_second": 337.409,
17
+ "eval_steps_per_second": 21.152,
18
+ "step": 187
19
+ },
20
+ {
21
+ "epoch": 2.0,
22
+ "eval_accuracy": 0.7606436610221863,
23
+ "eval_loss": 0.513149082660675,
24
+ "eval_runtime": 8.9936,
25
+ "eval_samples_per_second": 331.679,
26
+ "eval_steps_per_second": 20.792,
27
+ "step": 374
28
+ },
29
+ {
30
+ "epoch": 2.6737967914438503,
31
+ "grad_norm": 6.438678741455078,
32
+ "learning_rate": 1.6734897456112568e-05,
33
+ "loss": 0.3861,
34
+ "step": 500
35
+ },
36
+ {
37
+ "epoch": 3.0,
38
+ "eval_accuracy": 0.7656721472740173,
39
+ "eval_loss": 0.6351237893104553,
40
+ "eval_runtime": 8.9057,
41
+ "eval_samples_per_second": 334.954,
42
+ "eval_steps_per_second": 20.998,
43
+ "step": 561
44
+ },
45
+ {
46
+ "epoch": 4.0,
47
+ "eval_accuracy": 0.763660728931427,
48
+ "eval_loss": 0.8534680008888245,
49
+ "eval_runtime": 8.9937,
50
+ "eval_samples_per_second": 331.677,
51
+ "eval_steps_per_second": 20.792,
52
+ "step": 748
53
+ },
54
+ {
55
+ "epoch": 5.0,
56
+ "eval_accuracy": 0.7680187821388245,
57
+ "eval_loss": 1.0246423482894897,
58
+ "eval_runtime": 8.9711,
59
+ "eval_samples_per_second": 332.511,
60
+ "eval_steps_per_second": 20.845,
61
+ "step": 935
62
+ },
63
+ {
64
+ "epoch": 5.347593582887701,
65
+ "grad_norm": 4.004021644592285,
66
+ "learning_rate": 1.062727064731236e-05,
67
+ "loss": 0.084,
68
+ "step": 1000
69
+ },
70
+ {
71
+ "epoch": 6.0,
72
+ "eval_accuracy": 0.765001654624939,
73
+ "eval_loss": 1.1328651905059814,
74
+ "eval_runtime": 8.9776,
75
+ "eval_samples_per_second": 332.272,
76
+ "eval_steps_per_second": 20.83,
77
+ "step": 1122
78
+ },
79
+ {
80
+ "epoch": 7.0,
81
+ "eval_accuracy": 0.765001654624939,
82
+ "eval_loss": 1.1839755773544312,
83
+ "eval_runtime": 8.9889,
84
+ "eval_samples_per_second": 331.853,
85
+ "eval_steps_per_second": 20.803,
86
+ "step": 1309
87
+ },
88
+ {
89
+ "epoch": 8.0,
90
+ "eval_accuracy": 0.7666778564453125,
91
+ "eval_loss": 1.2200679779052734,
92
+ "eval_runtime": 8.9877,
93
+ "eval_samples_per_second": 331.9,
94
+ "eval_steps_per_second": 20.806,
95
+ "step": 1496
96
+ },
97
+ {
98
+ "epoch": 8.02139037433155,
99
+ "grad_norm": 0.6088434457778931,
100
+ "learning_rate": 4.519643838512153e-06,
101
+ "loss": 0.0256,
102
+ "step": 1500
103
+ }
104
+ ],
105
+ "logging_steps": 500,
106
+ "max_steps": 1870,
107
+ "num_input_tokens_seen": 0,
108
+ "num_train_epochs": 10,
109
+ "save_steps": 500,
110
+ "total_flos": 1.6341528697599528e+16,
111
+ "train_batch_size": 64,
112
+ "trial_name": null,
113
+ "trial_params": {
114
+ "learning_rate": 2.2842524264912772e-05,
115
+ "per_device_train_batch_size": 64
116
+ }
117
+ }
run-11/checkpoint-1500/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:752e2b1de4ef6590ab15353edd43d492d68f23094e8b6b6a922d5d42c5f7bd77
3
+ size 5048
run-11/checkpoint-1500/vocab.txt ADDED
The diff for this file is too large to render. See raw diff