jason-zhoou commited on
Commit
6925bae
1 Parent(s): 329e373

Training in progress, step 500

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. config.json +34 -0
  2. logs/events.out.tfevents.1722931054.e04c41ff77a6.336.2 +3 -0
  3. logs/events.out.tfevents.1722932101.e04c41ff77a6.336.3 +3 -0
  4. logs/events.out.tfevents.1722933484.e04c41ff77a6.336.4 +3 -0
  5. logs/events.out.tfevents.1722933589.e04c41ff77a6.336.5 +3 -0
  6. logs/events.out.tfevents.1722933640.e04c41ff77a6.336.6 +3 -0
  7. logs/events.out.tfevents.1722934212.e04c41ff77a6.336.7 +3 -0
  8. logs/events.out.tfevents.1722934596.e04c41ff77a6.336.8 +3 -0
  9. logs/events.out.tfevents.1722935168.e04c41ff77a6.336.9 +3 -0
  10. logs/events.out.tfevents.1722936122.e04c41ff77a6.336.10 +3 -0
  11. logs/events.out.tfevents.1722936514.e04c41ff77a6.336.11 +3 -0
  12. logs/events.out.tfevents.1722936550.e04c41ff77a6.336.12 +3 -0
  13. logs/events.out.tfevents.1722936586.e04c41ff77a6.336.13 +3 -0
  14. logs/events.out.tfevents.1722936621.e04c41ff77a6.336.14 +3 -0
  15. logs/events.out.tfevents.1722936764.e04c41ff77a6.336.15 +3 -0
  16. logs/events.out.tfevents.1722936954.e04c41ff77a6.336.16 +3 -0
  17. logs/events.out.tfevents.1722938062.e04c41ff77a6.336.17 +3 -0
  18. model.safetensors +3 -0
  19. run-0/checkpoint-1000/config.json +34 -0
  20. run-0/checkpoint-1000/model.safetensors +3 -0
  21. run-0/checkpoint-1000/optimizer.pt +3 -0
  22. run-0/checkpoint-1000/rng_state.pth +3 -0
  23. run-0/checkpoint-1000/scheduler.pt +3 -0
  24. run-0/checkpoint-1000/special_tokens_map.json +7 -0
  25. run-0/checkpoint-1000/tokenizer.json +0 -0
  26. run-0/checkpoint-1000/tokenizer_config.json +57 -0
  27. run-0/checkpoint-1000/trainer_state.json +199 -0
  28. run-0/checkpoint-1000/training_args.bin +3 -0
  29. run-0/checkpoint-1000/vocab.txt +0 -0
  30. run-0/checkpoint-1500/config.json +34 -0
  31. run-0/checkpoint-1500/model.safetensors +3 -0
  32. run-0/checkpoint-1500/optimizer.pt +3 -0
  33. run-0/checkpoint-1500/rng_state.pth +3 -0
  34. run-0/checkpoint-1500/scheduler.pt +3 -0
  35. run-0/checkpoint-1500/special_tokens_map.json +7 -0
  36. run-0/checkpoint-1500/tokenizer.json +0 -0
  37. run-0/checkpoint-1500/tokenizer_config.json +57 -0
  38. run-0/checkpoint-1500/trainer_state.json +279 -0
  39. run-0/checkpoint-1500/training_args.bin +3 -0
  40. run-0/checkpoint-1500/vocab.txt +0 -0
  41. run-0/checkpoint-1581/config.json +34 -0
  42. run-0/checkpoint-1581/model.safetensors +3 -0
  43. run-0/checkpoint-1581/optimizer.pt +3 -0
  44. run-0/checkpoint-1581/rng_state.pth +3 -0
  45. run-0/checkpoint-1581/scheduler.pt +3 -0
  46. run-0/checkpoint-1581/special_tokens_map.json +7 -0
  47. run-0/checkpoint-1581/tokenizer.json +0 -0
  48. run-0/checkpoint-1581/tokenizer_config.json +57 -0
  49. run-0/checkpoint-1581/trainer_state.json +279 -0
  50. run-0/checkpoint-1581/training_args.bin +3 -0
config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/bert_uncased_L-2_H-128_A-2",
3
+ "architectures": [
4
+ "BertForSequenceClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.1,
10
+ "hidden_size": 128,
11
+ "id2label": {
12
+ "0": "negative",
13
+ "1": "positive"
14
+ },
15
+ "initializer_range": 0.02,
16
+ "intermediate_size": 512,
17
+ "label2id": {
18
+ "negative": "0",
19
+ "positive": "1"
20
+ },
21
+ "layer_norm_eps": 1e-12,
22
+ "max_position_embeddings": 512,
23
+ "model_type": "bert",
24
+ "num_attention_heads": 2,
25
+ "num_hidden_layers": 2,
26
+ "pad_token_id": 0,
27
+ "position_embedding_type": "absolute",
28
+ "problem_type": "single_label_classification",
29
+ "torch_dtype": "float32",
30
+ "transformers_version": "4.43.4",
31
+ "type_vocab_size": 2,
32
+ "use_cache": true,
33
+ "vocab_size": 30522
34
+ }
logs/events.out.tfevents.1722931054.e04c41ff77a6.336.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6d0b3d76d3ab902157f17e373806af0d73fc30fe664b25ba89bdb6c39c866282
3
+ size 19252
logs/events.out.tfevents.1722932101.e04c41ff77a6.336.3 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b5d131633811bdd1d022a913d23a410fc2d31bec422680e04921e77717a62d3c
3
+ size 19892
logs/events.out.tfevents.1722933484.e04c41ff77a6.336.4 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e6c77c933280fdcae383a9e68a5c8f8b8ffb5ef576f78a07c54f5b68e5225b26
3
+ size 6023
logs/events.out.tfevents.1722933589.e04c41ff77a6.336.5 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1a8813559f17f881926cc652c10514bce5f4d335034ac7bba5083a00f4f5e4e7
3
+ size 4965
logs/events.out.tfevents.1722933640.e04c41ff77a6.336.6 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:72b6ae0748d54d1722a37e4e20533c89e1568dd7106c30334e635fbd0d742197
3
+ size 13319
logs/events.out.tfevents.1722934212.e04c41ff77a6.336.7 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b6d4d0ce8038e9d3d94fb013dccc40c8970e17645486bb739347a9c9fe293dfc
3
+ size 10651
logs/events.out.tfevents.1722934596.e04c41ff77a6.336.8 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ac13678f38d28f98eb51c768af6137f20096101635b4b44f65256edb3aafc143
3
+ size 13319
logs/events.out.tfevents.1722935168.e04c41ff77a6.336.9 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0b127376c85acd0dce610d7783eaf6517764c028a12961360cef67615bcb005d
3
+ size 19194
logs/events.out.tfevents.1722936122.e04c41ff77a6.336.10 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:196bb1cfd87f28a11678a9c9cd1f77cadd945ad9b2e02cda28e83f7ca1f9f610
3
+ size 10650
logs/events.out.tfevents.1722936514.e04c41ff77a6.336.11 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:67bfd3e884c578a8aa8edfe5528cdafb3ee702f8192b988322a59c0eac3188ac
3
+ size 5490
logs/events.out.tfevents.1722936550.e04c41ff77a6.336.12 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:beff3f17b12c819e1173bd439496398f90e8aea517eedde779226663d321937b
3
+ size 5490
logs/events.out.tfevents.1722936586.e04c41ff77a6.336.13 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:706c2d960c5f11abd3bbdee91762e180b6f8fcc0a27e4559209d7f997aa5cd36
3
+ size 5490
logs/events.out.tfevents.1722936621.e04c41ff77a6.336.14 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b1f903d548ad32967eb368aa67f5ff827af515de2a4ef66f1cca58d3186785ec
3
+ size 7091
logs/events.out.tfevents.1722936764.e04c41ff77a6.336.15 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a425787f8e966621105747f965d43754b29ab57d6101fa463b8c67e050841983
3
+ size 7091
logs/events.out.tfevents.1722936954.e04c41ff77a6.336.16 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0d3cee075279045774d44dc80e2f9950660be9d317c2e70f2a5a68804e4a9b50
3
+ size 10741
logs/events.out.tfevents.1722938062.e04c41ff77a6.336.17 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fc9f0499024dcf8df470509a33ecade4c690f6ec3c7063eb0a82cad42f39b422
3
+ size 7685
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dd0b50a7bd4175afee19f3b0f41ff9d038180d979fbe2df5489691317f5b2491
3
+ size 17549312
run-0/checkpoint-1000/config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/bert_uncased_L-2_H-128_A-2",
3
+ "architectures": [
4
+ "BertForSequenceClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.1,
10
+ "hidden_size": 128,
11
+ "id2label": {
12
+ "0": "negative",
13
+ "1": "positive"
14
+ },
15
+ "initializer_range": 0.02,
16
+ "intermediate_size": 512,
17
+ "label2id": {
18
+ "negative": "0",
19
+ "positive": "1"
20
+ },
21
+ "layer_norm_eps": 1e-12,
22
+ "max_position_embeddings": 512,
23
+ "model_type": "bert",
24
+ "num_attention_heads": 2,
25
+ "num_hidden_layers": 2,
26
+ "pad_token_id": 0,
27
+ "position_embedding_type": "absolute",
28
+ "problem_type": "single_label_classification",
29
+ "torch_dtype": "float32",
30
+ "transformers_version": "4.43.4",
31
+ "type_vocab_size": 2,
32
+ "use_cache": true,
33
+ "vocab_size": 30522
34
+ }
run-0/checkpoint-1000/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2cb8c0e30b457a05252f56ba5ddd342de48d44dbfdd76c029f676b33472fe02a
3
+ size 17549312
run-0/checkpoint-1000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:31c450729a57c05a7f14c9d2a3f1dbfba6381b016d94291cff973f23edd61b99
3
+ size 35123898
run-0/checkpoint-1000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ed6c36e6cfde713b7d318184cedbf2b0e301159a504124877a79657a5ace6ecb
3
+ size 14244
run-0/checkpoint-1000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cd6ef6f5890a520346297b5993f3a468c937120fc21fb6250c459639028e15d3
3
+ size 1064
run-0/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-0/checkpoint-1000/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
run-0/checkpoint-1000/tokenizer_config.json ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_basic_tokenize": true,
47
+ "do_lower_case": true,
48
+ "mask_token": "[MASK]",
49
+ "model_max_length": 512,
50
+ "never_split": null,
51
+ "pad_token": "[PAD]",
52
+ "sep_token": "[SEP]",
53
+ "strip_accents": null,
54
+ "tokenize_chinese_chars": true,
55
+ "tokenizer_class": "BertTokenizer",
56
+ "unk_token": "[UNK]"
57
+ }
run-0/checkpoint-1000/trainer_state.json ADDED
@@ -0,0 +1,199 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.7970183486238532,
3
+ "best_model_checkpoint": "tiny-bert-sst2/run-0/checkpoint-1000",
4
+ "epoch": 1.8975332068311195,
5
+ "eval_steps": 100,
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": 0.18975332068311196,
13
+ "grad_norm": 0.7187711000442505,
14
+ "learning_rate": 2.4275077059878603e-05,
15
+ "loss": 1.2604,
16
+ "step": 100
17
+ },
18
+ {
19
+ "epoch": 0.18975332068311196,
20
+ "eval_accuracy": 0.6169724770642202,
21
+ "eval_loss": 1.181114673614502,
22
+ "eval_runtime": 2.4577,
23
+ "eval_samples_per_second": 354.806,
24
+ "eval_steps_per_second": 2.848,
25
+ "step": 100
26
+ },
27
+ {
28
+ "epoch": 0.3795066413662239,
29
+ "grad_norm": 1.8982616662979126,
30
+ "learning_rate": 2.3789299271608236e-05,
31
+ "loss": 1.1808,
32
+ "step": 200
33
+ },
34
+ {
35
+ "epoch": 0.3795066413662239,
36
+ "eval_accuracy": 0.7121559633027523,
37
+ "eval_loss": 1.0743426084518433,
38
+ "eval_runtime": 2.4969,
39
+ "eval_samples_per_second": 349.235,
40
+ "eval_steps_per_second": 2.803,
41
+ "step": 200
42
+ },
43
+ {
44
+ "epoch": 0.5692599620493358,
45
+ "grad_norm": 2.6504175662994385,
46
+ "learning_rate": 2.2812529230666033e-05,
47
+ "loss": 1.0583,
48
+ "step": 300
49
+ },
50
+ {
51
+ "epoch": 0.5692599620493358,
52
+ "eval_accuracy": 0.7591743119266054,
53
+ "eval_loss": 0.9464107155799866,
54
+ "eval_runtime": 2.4114,
55
+ "eval_samples_per_second": 361.611,
56
+ "eval_steps_per_second": 2.903,
57
+ "step": 300
58
+ },
59
+ {
60
+ "epoch": 0.7590132827324478,
61
+ "grad_norm": 2.9992282390594482,
62
+ "learning_rate": 2.138601927608547e-05,
63
+ "loss": 0.9339,
64
+ "step": 400
65
+ },
66
+ {
67
+ "epoch": 0.7590132827324478,
68
+ "eval_accuracy": 0.7775229357798165,
69
+ "eval_loss": 0.8676859736442566,
70
+ "eval_runtime": 2.5023,
71
+ "eval_samples_per_second": 348.476,
72
+ "eval_steps_per_second": 2.797,
73
+ "step": 400
74
+ },
75
+ {
76
+ "epoch": 0.9487666034155597,
77
+ "grad_norm": 2.979876756668091,
78
+ "learning_rate": 1.9570015801402756e-05,
79
+ "loss": 0.8783,
80
+ "step": 500
81
+ },
82
+ {
83
+ "epoch": 0.9487666034155597,
84
+ "eval_accuracy": 0.786697247706422,
85
+ "eval_loss": 0.836247980594635,
86
+ "eval_runtime": 2.4279,
87
+ "eval_samples_per_second": 359.162,
88
+ "eval_steps_per_second": 2.883,
89
+ "step": 500
90
+ },
91
+ {
92
+ "epoch": 1.1385199240986716,
93
+ "grad_norm": 3.8972060680389404,
94
+ "learning_rate": 1.7441214843436652e-05,
95
+ "loss": 0.8286,
96
+ "step": 600
97
+ },
98
+ {
99
+ "epoch": 1.1385199240986716,
100
+ "eval_accuracy": 0.786697247706422,
101
+ "eval_loss": 0.8169480562210083,
102
+ "eval_runtime": 2.4359,
103
+ "eval_samples_per_second": 357.985,
104
+ "eval_steps_per_second": 2.874,
105
+ "step": 600
106
+ },
107
+ {
108
+ "epoch": 1.3282732447817835,
109
+ "grad_norm": 4.094536304473877,
110
+ "learning_rate": 1.5089522946380597e-05,
111
+ "loss": 0.7808,
112
+ "step": 700
113
+ },
114
+ {
115
+ "epoch": 1.3282732447817835,
116
+ "eval_accuracy": 0.7878440366972477,
117
+ "eval_loss": 0.8050708770751953,
118
+ "eval_runtime": 2.4399,
119
+ "eval_samples_per_second": 357.397,
120
+ "eval_steps_per_second": 2.869,
121
+ "step": 700
122
+ },
123
+ {
124
+ "epoch": 1.5180265654648957,
125
+ "grad_norm": 6.467775344848633,
126
+ "learning_rate": 1.2614260100993157e-05,
127
+ "loss": 0.765,
128
+ "step": 800
129
+ },
130
+ {
131
+ "epoch": 1.5180265654648957,
132
+ "eval_accuracy": 0.7889908256880734,
133
+ "eval_loss": 0.7935003042221069,
134
+ "eval_runtime": 2.4349,
135
+ "eval_samples_per_second": 358.121,
136
+ "eval_steps_per_second": 2.875,
137
+ "step": 800
138
+ },
139
+ {
140
+ "epoch": 1.7077798861480076,
141
+ "grad_norm": 7.3176445960998535,
142
+ "learning_rate": 1.0119965121749416e-05,
143
+ "loss": 0.742,
144
+ "step": 900
145
+ },
146
+ {
147
+ "epoch": 1.7077798861480076,
148
+ "eval_accuracy": 0.7901376146788991,
149
+ "eval_loss": 0.7913622260093689,
150
+ "eval_runtime": 2.505,
151
+ "eval_samples_per_second": 348.1,
152
+ "eval_steps_per_second": 2.794,
153
+ "step": 900
154
+ },
155
+ {
156
+ "epoch": 1.8975332068311195,
157
+ "grad_norm": 4.671020030975342,
158
+ "learning_rate": 7.711980615220306e-06,
159
+ "loss": 0.7379,
160
+ "step": 1000
161
+ },
162
+ {
163
+ "epoch": 1.8975332068311195,
164
+ "eval_accuracy": 0.7970183486238532,
165
+ "eval_loss": 0.7775447964668274,
166
+ "eval_runtime": 2.4368,
167
+ "eval_samples_per_second": 357.839,
168
+ "eval_steps_per_second": 2.873,
169
+ "step": 1000
170
+ }
171
+ ],
172
+ "logging_steps": 100,
173
+ "max_steps": 1581,
174
+ "num_input_tokens_seen": 0,
175
+ "num_train_epochs": 3,
176
+ "save_steps": 500,
177
+ "stateful_callbacks": {
178
+ "TrainerControl": {
179
+ "args": {
180
+ "should_epoch_stop": false,
181
+ "should_evaluate": false,
182
+ "should_log": false,
183
+ "should_save": true,
184
+ "should_training_stop": false
185
+ },
186
+ "attributes": {}
187
+ }
188
+ },
189
+ "total_flos": 15348240276300.0,
190
+ "train_batch_size": 128,
191
+ "trial_name": null,
192
+ "trial_params": {
193
+ "alpha": 0.8670086094179865,
194
+ "learning_rate": 2.432723709409012e-05,
195
+ "num_train_epochs": 3,
196
+ "temperature": 13,
197
+ "warmup_ratio": 0.03434495454544933
198
+ }
199
+ }
run-0/checkpoint-1000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c13ac8bd9d7d909b6ca7c92c43736d482f4dacbc0fe997a6e1760536a654848f
3
+ size 5240
run-0/checkpoint-1000/vocab.txt ADDED
The diff for this file is too large to render. See raw diff
 
run-0/checkpoint-1500/config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/bert_uncased_L-2_H-128_A-2",
3
+ "architectures": [
4
+ "BertForSequenceClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.1,
10
+ "hidden_size": 128,
11
+ "id2label": {
12
+ "0": "negative",
13
+ "1": "positive"
14
+ },
15
+ "initializer_range": 0.02,
16
+ "intermediate_size": 512,
17
+ "label2id": {
18
+ "negative": "0",
19
+ "positive": "1"
20
+ },
21
+ "layer_norm_eps": 1e-12,
22
+ "max_position_embeddings": 512,
23
+ "model_type": "bert",
24
+ "num_attention_heads": 2,
25
+ "num_hidden_layers": 2,
26
+ "pad_token_id": 0,
27
+ "position_embedding_type": "absolute",
28
+ "problem_type": "single_label_classification",
29
+ "torch_dtype": "float32",
30
+ "transformers_version": "4.43.4",
31
+ "type_vocab_size": 2,
32
+ "use_cache": true,
33
+ "vocab_size": 30522
34
+ }
run-0/checkpoint-1500/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:43043ea874abdba0f21dd5cef24eb9122cdc34a46513b4cc1ef3712873915f80
3
+ size 17549312
run-0/checkpoint-1500/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d5f634820cff3105d542eaacea5d62aafb6466b78c1534d182d50fc9b2e821d6
3
+ size 35123898
run-0/checkpoint-1500/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c6b5f7d6520a4fe62ffd553a2788d8b3d45cec7e270ca8ce56dd0afd6f16514d
3
+ size 14244
run-0/checkpoint-1500/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fdff4cb64def19622d59a8f9199ee696765a6e017e1bcee21b47a8beb7bd39d6
3
+ size 1064
run-0/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-0/checkpoint-1500/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
run-0/checkpoint-1500/tokenizer_config.json ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_basic_tokenize": true,
47
+ "do_lower_case": true,
48
+ "mask_token": "[MASK]",
49
+ "model_max_length": 512,
50
+ "never_split": null,
51
+ "pad_token": "[PAD]",
52
+ "sep_token": "[SEP]",
53
+ "strip_accents": null,
54
+ "tokenize_chinese_chars": true,
55
+ "tokenizer_class": "BertTokenizer",
56
+ "unk_token": "[UNK]"
57
+ }
run-0/checkpoint-1500/trainer_state.json ADDED
@@ -0,0 +1,279 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.7981651376146789,
3
+ "best_model_checkpoint": "tiny-bert-sst2/run-0/checkpoint-1500",
4
+ "epoch": 2.846299810246679,
5
+ "eval_steps": 100,
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": 0.18975332068311196,
13
+ "grad_norm": 0.7187711000442505,
14
+ "learning_rate": 2.4275077059878603e-05,
15
+ "loss": 1.2604,
16
+ "step": 100
17
+ },
18
+ {
19
+ "epoch": 0.18975332068311196,
20
+ "eval_accuracy": 0.6169724770642202,
21
+ "eval_loss": 1.181114673614502,
22
+ "eval_runtime": 2.4577,
23
+ "eval_samples_per_second": 354.806,
24
+ "eval_steps_per_second": 2.848,
25
+ "step": 100
26
+ },
27
+ {
28
+ "epoch": 0.3795066413662239,
29
+ "grad_norm": 1.8982616662979126,
30
+ "learning_rate": 2.3789299271608236e-05,
31
+ "loss": 1.1808,
32
+ "step": 200
33
+ },
34
+ {
35
+ "epoch": 0.3795066413662239,
36
+ "eval_accuracy": 0.7121559633027523,
37
+ "eval_loss": 1.0743426084518433,
38
+ "eval_runtime": 2.4969,
39
+ "eval_samples_per_second": 349.235,
40
+ "eval_steps_per_second": 2.803,
41
+ "step": 200
42
+ },
43
+ {
44
+ "epoch": 0.5692599620493358,
45
+ "grad_norm": 2.6504175662994385,
46
+ "learning_rate": 2.2812529230666033e-05,
47
+ "loss": 1.0583,
48
+ "step": 300
49
+ },
50
+ {
51
+ "epoch": 0.5692599620493358,
52
+ "eval_accuracy": 0.7591743119266054,
53
+ "eval_loss": 0.9464107155799866,
54
+ "eval_runtime": 2.4114,
55
+ "eval_samples_per_second": 361.611,
56
+ "eval_steps_per_second": 2.903,
57
+ "step": 300
58
+ },
59
+ {
60
+ "epoch": 0.7590132827324478,
61
+ "grad_norm": 2.9992282390594482,
62
+ "learning_rate": 2.138601927608547e-05,
63
+ "loss": 0.9339,
64
+ "step": 400
65
+ },
66
+ {
67
+ "epoch": 0.7590132827324478,
68
+ "eval_accuracy": 0.7775229357798165,
69
+ "eval_loss": 0.8676859736442566,
70
+ "eval_runtime": 2.5023,
71
+ "eval_samples_per_second": 348.476,
72
+ "eval_steps_per_second": 2.797,
73
+ "step": 400
74
+ },
75
+ {
76
+ "epoch": 0.9487666034155597,
77
+ "grad_norm": 2.979876756668091,
78
+ "learning_rate": 1.9570015801402756e-05,
79
+ "loss": 0.8783,
80
+ "step": 500
81
+ },
82
+ {
83
+ "epoch": 0.9487666034155597,
84
+ "eval_accuracy": 0.786697247706422,
85
+ "eval_loss": 0.836247980594635,
86
+ "eval_runtime": 2.4279,
87
+ "eval_samples_per_second": 359.162,
88
+ "eval_steps_per_second": 2.883,
89
+ "step": 500
90
+ },
91
+ {
92
+ "epoch": 1.1385199240986716,
93
+ "grad_norm": 3.8972060680389404,
94
+ "learning_rate": 1.7441214843436652e-05,
95
+ "loss": 0.8286,
96
+ "step": 600
97
+ },
98
+ {
99
+ "epoch": 1.1385199240986716,
100
+ "eval_accuracy": 0.786697247706422,
101
+ "eval_loss": 0.8169480562210083,
102
+ "eval_runtime": 2.4359,
103
+ "eval_samples_per_second": 357.985,
104
+ "eval_steps_per_second": 2.874,
105
+ "step": 600
106
+ },
107
+ {
108
+ "epoch": 1.3282732447817835,
109
+ "grad_norm": 4.094536304473877,
110
+ "learning_rate": 1.5089522946380597e-05,
111
+ "loss": 0.7808,
112
+ "step": 700
113
+ },
114
+ {
115
+ "epoch": 1.3282732447817835,
116
+ "eval_accuracy": 0.7878440366972477,
117
+ "eval_loss": 0.8050708770751953,
118
+ "eval_runtime": 2.4399,
119
+ "eval_samples_per_second": 357.397,
120
+ "eval_steps_per_second": 2.869,
121
+ "step": 700
122
+ },
123
+ {
124
+ "epoch": 1.5180265654648957,
125
+ "grad_norm": 6.467775344848633,
126
+ "learning_rate": 1.2614260100993157e-05,
127
+ "loss": 0.765,
128
+ "step": 800
129
+ },
130
+ {
131
+ "epoch": 1.5180265654648957,
132
+ "eval_accuracy": 0.7889908256880734,
133
+ "eval_loss": 0.7935003042221069,
134
+ "eval_runtime": 2.4349,
135
+ "eval_samples_per_second": 358.121,
136
+ "eval_steps_per_second": 2.875,
137
+ "step": 800
138
+ },
139
+ {
140
+ "epoch": 1.7077798861480076,
141
+ "grad_norm": 7.3176445960998535,
142
+ "learning_rate": 1.0119965121749416e-05,
143
+ "loss": 0.742,
144
+ "step": 900
145
+ },
146
+ {
147
+ "epoch": 1.7077798861480076,
148
+ "eval_accuracy": 0.7901376146788991,
149
+ "eval_loss": 0.7913622260093689,
150
+ "eval_runtime": 2.505,
151
+ "eval_samples_per_second": 348.1,
152
+ "eval_steps_per_second": 2.794,
153
+ "step": 900
154
+ },
155
+ {
156
+ "epoch": 1.8975332068311195,
157
+ "grad_norm": 4.671020030975342,
158
+ "learning_rate": 7.711980615220306e-06,
159
+ "loss": 0.7379,
160
+ "step": 1000
161
+ },
162
+ {
163
+ "epoch": 1.8975332068311195,
164
+ "eval_accuracy": 0.7970183486238532,
165
+ "eval_loss": 0.7775447964668274,
166
+ "eval_runtime": 2.4368,
167
+ "eval_samples_per_second": 357.839,
168
+ "eval_steps_per_second": 2.873,
169
+ "step": 1000
170
+ },
171
+ {
172
+ "epoch": 2.0872865275142316,
173
+ "grad_norm": 3.548794984817505,
174
+ "learning_rate": 5.492004001563045e-06,
175
+ "loss": 0.7169,
176
+ "step": 1100
177
+ },
178
+ {
179
+ "epoch": 2.0872865275142316,
180
+ "eval_accuracy": 0.7981651376146789,
181
+ "eval_loss": 0.7763888239860535,
182
+ "eval_runtime": 2.4327,
183
+ "eval_samples_per_second": 358.447,
184
+ "eval_steps_per_second": 2.877,
185
+ "step": 1100
186
+ },
187
+ {
188
+ "epoch": 2.2770398481973433,
189
+ "grad_norm": 2.657698392868042,
190
+ "learning_rate": 3.5537924846990686e-06,
191
+ "loss": 0.7053,
192
+ "step": 1200
193
+ },
194
+ {
195
+ "epoch": 2.2770398481973433,
196
+ "eval_accuracy": 0.8004587155963303,
197
+ "eval_loss": 0.7718890905380249,
198
+ "eval_runtime": 2.4731,
199
+ "eval_samples_per_second": 352.601,
200
+ "eval_steps_per_second": 2.831,
201
+ "step": 1200
202
+ },
203
+ {
204
+ "epoch": 2.4667931688804554,
205
+ "grad_norm": 8.931977272033691,
206
+ "learning_rate": 1.9792033649762944e-06,
207
+ "loss": 0.7001,
208
+ "step": 1300
209
+ },
210
+ {
211
+ "epoch": 2.4667931688804554,
212
+ "eval_accuracy": 0.7958715596330275,
213
+ "eval_loss": 0.7761191129684448,
214
+ "eval_runtime": 2.4453,
215
+ "eval_samples_per_second": 356.608,
216
+ "eval_steps_per_second": 2.863,
217
+ "step": 1300
218
+ },
219
+ {
220
+ "epoch": 2.656546489563567,
221
+ "grad_norm": 5.575241565704346,
222
+ "learning_rate": 8.347369254527042e-07,
223
+ "loss": 0.6988,
224
+ "step": 1400
225
+ },
226
+ {
227
+ "epoch": 2.656546489563567,
228
+ "eval_accuracy": 0.7981651376146789,
229
+ "eval_loss": 0.7722569108009338,
230
+ "eval_runtime": 2.492,
231
+ "eval_samples_per_second": 349.916,
232
+ "eval_steps_per_second": 2.809,
233
+ "step": 1400
234
+ },
235
+ {
236
+ "epoch": 2.846299810246679,
237
+ "grad_norm": 6.262284278869629,
238
+ "learning_rate": 1.6872789753562043e-07,
239
+ "loss": 0.7135,
240
+ "step": 1500
241
+ },
242
+ {
243
+ "epoch": 2.846299810246679,
244
+ "eval_accuracy": 0.7981651376146789,
245
+ "eval_loss": 0.7717686891555786,
246
+ "eval_runtime": 2.443,
247
+ "eval_samples_per_second": 356.945,
248
+ "eval_steps_per_second": 2.865,
249
+ "step": 1500
250
+ }
251
+ ],
252
+ "logging_steps": 100,
253
+ "max_steps": 1581,
254
+ "num_input_tokens_seen": 0,
255
+ "num_train_epochs": 3,
256
+ "save_steps": 500,
257
+ "stateful_callbacks": {
258
+ "TrainerControl": {
259
+ "args": {
260
+ "should_epoch_stop": false,
261
+ "should_evaluate": false,
262
+ "should_log": false,
263
+ "should_save": true,
264
+ "should_training_stop": false
265
+ },
266
+ "attributes": {}
267
+ }
268
+ },
269
+ "total_flos": 23032282372320.0,
270
+ "train_batch_size": 128,
271
+ "trial_name": null,
272
+ "trial_params": {
273
+ "alpha": 0.8670086094179865,
274
+ "learning_rate": 2.432723709409012e-05,
275
+ "num_train_epochs": 3,
276
+ "temperature": 13,
277
+ "warmup_ratio": 0.03434495454544933
278
+ }
279
+ }
run-0/checkpoint-1500/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c13ac8bd9d7d909b6ca7c92c43736d482f4dacbc0fe997a6e1760536a654848f
3
+ size 5240
run-0/checkpoint-1500/vocab.txt ADDED
The diff for this file is too large to render. See raw diff
 
run-0/checkpoint-1581/config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/bert_uncased_L-2_H-128_A-2",
3
+ "architectures": [
4
+ "BertForSequenceClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.1,
10
+ "hidden_size": 128,
11
+ "id2label": {
12
+ "0": "negative",
13
+ "1": "positive"
14
+ },
15
+ "initializer_range": 0.02,
16
+ "intermediate_size": 512,
17
+ "label2id": {
18
+ "negative": "0",
19
+ "positive": "1"
20
+ },
21
+ "layer_norm_eps": 1e-12,
22
+ "max_position_embeddings": 512,
23
+ "model_type": "bert",
24
+ "num_attention_heads": 2,
25
+ "num_hidden_layers": 2,
26
+ "pad_token_id": 0,
27
+ "position_embedding_type": "absolute",
28
+ "problem_type": "single_label_classification",
29
+ "torch_dtype": "float32",
30
+ "transformers_version": "4.43.4",
31
+ "type_vocab_size": 2,
32
+ "use_cache": true,
33
+ "vocab_size": 30522
34
+ }
run-0/checkpoint-1581/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:14329b99347952dbe663cde12a2ce6b60addc3a44a079e557314f9cc1938bbdc
3
+ size 17549312
run-0/checkpoint-1581/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:958dee26f9b52fe7d248a0a3f6a9992ec067bb77e768e0cfb84a189e6ec3a71a
3
+ size 35123898
run-0/checkpoint-1581/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:500e46e3000dbe3b0d1b816b0b22c728e6ae48546c227ef671208deca89f6ee6
3
+ size 14244
run-0/checkpoint-1581/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3b88526ab27fa08f283c42f464e9f33716cc03da0d3e2bdd6607a7e2b59fea01
3
+ size 1064
run-0/checkpoint-1581/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-0/checkpoint-1581/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
run-0/checkpoint-1581/tokenizer_config.json ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_basic_tokenize": true,
47
+ "do_lower_case": true,
48
+ "mask_token": "[MASK]",
49
+ "model_max_length": 512,
50
+ "never_split": null,
51
+ "pad_token": "[PAD]",
52
+ "sep_token": "[SEP]",
53
+ "strip_accents": null,
54
+ "tokenize_chinese_chars": true,
55
+ "tokenizer_class": "BertTokenizer",
56
+ "unk_token": "[UNK]"
57
+ }
run-0/checkpoint-1581/trainer_state.json ADDED
@@ -0,0 +1,279 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.7981651376146789,
3
+ "best_model_checkpoint": "tiny-bert-sst2/run-0/checkpoint-1500",
4
+ "epoch": 3.0,
5
+ "eval_steps": 100,
6
+ "global_step": 1581,
7
+ "is_hyper_param_search": true,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.18975332068311196,
13
+ "grad_norm": 0.7187711000442505,
14
+ "learning_rate": 2.4275077059878603e-05,
15
+ "loss": 1.2604,
16
+ "step": 100
17
+ },
18
+ {
19
+ "epoch": 0.18975332068311196,
20
+ "eval_accuracy": 0.6169724770642202,
21
+ "eval_loss": 1.181114673614502,
22
+ "eval_runtime": 2.4577,
23
+ "eval_samples_per_second": 354.806,
24
+ "eval_steps_per_second": 2.848,
25
+ "step": 100
26
+ },
27
+ {
28
+ "epoch": 0.3795066413662239,
29
+ "grad_norm": 1.8982616662979126,
30
+ "learning_rate": 2.3789299271608236e-05,
31
+ "loss": 1.1808,
32
+ "step": 200
33
+ },
34
+ {
35
+ "epoch": 0.3795066413662239,
36
+ "eval_accuracy": 0.7121559633027523,
37
+ "eval_loss": 1.0743426084518433,
38
+ "eval_runtime": 2.4969,
39
+ "eval_samples_per_second": 349.235,
40
+ "eval_steps_per_second": 2.803,
41
+ "step": 200
42
+ },
43
+ {
44
+ "epoch": 0.5692599620493358,
45
+ "grad_norm": 2.6504175662994385,
46
+ "learning_rate": 2.2812529230666033e-05,
47
+ "loss": 1.0583,
48
+ "step": 300
49
+ },
50
+ {
51
+ "epoch": 0.5692599620493358,
52
+ "eval_accuracy": 0.7591743119266054,
53
+ "eval_loss": 0.9464107155799866,
54
+ "eval_runtime": 2.4114,
55
+ "eval_samples_per_second": 361.611,
56
+ "eval_steps_per_second": 2.903,
57
+ "step": 300
58
+ },
59
+ {
60
+ "epoch": 0.7590132827324478,
61
+ "grad_norm": 2.9992282390594482,
62
+ "learning_rate": 2.138601927608547e-05,
63
+ "loss": 0.9339,
64
+ "step": 400
65
+ },
66
+ {
67
+ "epoch": 0.7590132827324478,
68
+ "eval_accuracy": 0.7775229357798165,
69
+ "eval_loss": 0.8676859736442566,
70
+ "eval_runtime": 2.5023,
71
+ "eval_samples_per_second": 348.476,
72
+ "eval_steps_per_second": 2.797,
73
+ "step": 400
74
+ },
75
+ {
76
+ "epoch": 0.9487666034155597,
77
+ "grad_norm": 2.979876756668091,
78
+ "learning_rate": 1.9570015801402756e-05,
79
+ "loss": 0.8783,
80
+ "step": 500
81
+ },
82
+ {
83
+ "epoch": 0.9487666034155597,
84
+ "eval_accuracy": 0.786697247706422,
85
+ "eval_loss": 0.836247980594635,
86
+ "eval_runtime": 2.4279,
87
+ "eval_samples_per_second": 359.162,
88
+ "eval_steps_per_second": 2.883,
89
+ "step": 500
90
+ },
91
+ {
92
+ "epoch": 1.1385199240986716,
93
+ "grad_norm": 3.8972060680389404,
94
+ "learning_rate": 1.7441214843436652e-05,
95
+ "loss": 0.8286,
96
+ "step": 600
97
+ },
98
+ {
99
+ "epoch": 1.1385199240986716,
100
+ "eval_accuracy": 0.786697247706422,
101
+ "eval_loss": 0.8169480562210083,
102
+ "eval_runtime": 2.4359,
103
+ "eval_samples_per_second": 357.985,
104
+ "eval_steps_per_second": 2.874,
105
+ "step": 600
106
+ },
107
+ {
108
+ "epoch": 1.3282732447817835,
109
+ "grad_norm": 4.094536304473877,
110
+ "learning_rate": 1.5089522946380597e-05,
111
+ "loss": 0.7808,
112
+ "step": 700
113
+ },
114
+ {
115
+ "epoch": 1.3282732447817835,
116
+ "eval_accuracy": 0.7878440366972477,
117
+ "eval_loss": 0.8050708770751953,
118
+ "eval_runtime": 2.4399,
119
+ "eval_samples_per_second": 357.397,
120
+ "eval_steps_per_second": 2.869,
121
+ "step": 700
122
+ },
123
+ {
124
+ "epoch": 1.5180265654648957,
125
+ "grad_norm": 6.467775344848633,
126
+ "learning_rate": 1.2614260100993157e-05,
127
+ "loss": 0.765,
128
+ "step": 800
129
+ },
130
+ {
131
+ "epoch": 1.5180265654648957,
132
+ "eval_accuracy": 0.7889908256880734,
133
+ "eval_loss": 0.7935003042221069,
134
+ "eval_runtime": 2.4349,
135
+ "eval_samples_per_second": 358.121,
136
+ "eval_steps_per_second": 2.875,
137
+ "step": 800
138
+ },
139
+ {
140
+ "epoch": 1.7077798861480076,
141
+ "grad_norm": 7.3176445960998535,
142
+ "learning_rate": 1.0119965121749416e-05,
143
+ "loss": 0.742,
144
+ "step": 900
145
+ },
146
+ {
147
+ "epoch": 1.7077798861480076,
148
+ "eval_accuracy": 0.7901376146788991,
149
+ "eval_loss": 0.7913622260093689,
150
+ "eval_runtime": 2.505,
151
+ "eval_samples_per_second": 348.1,
152
+ "eval_steps_per_second": 2.794,
153
+ "step": 900
154
+ },
155
+ {
156
+ "epoch": 1.8975332068311195,
157
+ "grad_norm": 4.671020030975342,
158
+ "learning_rate": 7.711980615220306e-06,
159
+ "loss": 0.7379,
160
+ "step": 1000
161
+ },
162
+ {
163
+ "epoch": 1.8975332068311195,
164
+ "eval_accuracy": 0.7970183486238532,
165
+ "eval_loss": 0.7775447964668274,
166
+ "eval_runtime": 2.4368,
167
+ "eval_samples_per_second": 357.839,
168
+ "eval_steps_per_second": 2.873,
169
+ "step": 1000
170
+ },
171
+ {
172
+ "epoch": 2.0872865275142316,
173
+ "grad_norm": 3.548794984817505,
174
+ "learning_rate": 5.492004001563045e-06,
175
+ "loss": 0.7169,
176
+ "step": 1100
177
+ },
178
+ {
179
+ "epoch": 2.0872865275142316,
180
+ "eval_accuracy": 0.7981651376146789,
181
+ "eval_loss": 0.7763888239860535,
182
+ "eval_runtime": 2.4327,
183
+ "eval_samples_per_second": 358.447,
184
+ "eval_steps_per_second": 2.877,
185
+ "step": 1100
186
+ },
187
+ {
188
+ "epoch": 2.2770398481973433,
189
+ "grad_norm": 2.657698392868042,
190
+ "learning_rate": 3.5537924846990686e-06,
191
+ "loss": 0.7053,
192
+ "step": 1200
193
+ },
194
+ {
195
+ "epoch": 2.2770398481973433,
196
+ "eval_accuracy": 0.8004587155963303,
197
+ "eval_loss": 0.7718890905380249,
198
+ "eval_runtime": 2.4731,
199
+ "eval_samples_per_second": 352.601,
200
+ "eval_steps_per_second": 2.831,
201
+ "step": 1200
202
+ },
203
+ {
204
+ "epoch": 2.4667931688804554,
205
+ "grad_norm": 8.931977272033691,
206
+ "learning_rate": 1.9792033649762944e-06,
207
+ "loss": 0.7001,
208
+ "step": 1300
209
+ },
210
+ {
211
+ "epoch": 2.4667931688804554,
212
+ "eval_accuracy": 0.7958715596330275,
213
+ "eval_loss": 0.7761191129684448,
214
+ "eval_runtime": 2.4453,
215
+ "eval_samples_per_second": 356.608,
216
+ "eval_steps_per_second": 2.863,
217
+ "step": 1300
218
+ },
219
+ {
220
+ "epoch": 2.656546489563567,
221
+ "grad_norm": 5.575241565704346,
222
+ "learning_rate": 8.347369254527042e-07,
223
+ "loss": 0.6988,
224
+ "step": 1400
225
+ },
226
+ {
227
+ "epoch": 2.656546489563567,
228
+ "eval_accuracy": 0.7981651376146789,
229
+ "eval_loss": 0.7722569108009338,
230
+ "eval_runtime": 2.492,
231
+ "eval_samples_per_second": 349.916,
232
+ "eval_steps_per_second": 2.809,
233
+ "step": 1400
234
+ },
235
+ {
236
+ "epoch": 2.846299810246679,
237
+ "grad_norm": 6.262284278869629,
238
+ "learning_rate": 1.6872789753562043e-07,
239
+ "loss": 0.7135,
240
+ "step": 1500
241
+ },
242
+ {
243
+ "epoch": 2.846299810246679,
244
+ "eval_accuracy": 0.7981651376146789,
245
+ "eval_loss": 0.7717686891555786,
246
+ "eval_runtime": 2.443,
247
+ "eval_samples_per_second": 356.945,
248
+ "eval_steps_per_second": 2.865,
249
+ "step": 1500
250
+ }
251
+ ],
252
+ "logging_steps": 100,
253
+ "max_steps": 1581,
254
+ "num_input_tokens_seen": 0,
255
+ "num_train_epochs": 3,
256
+ "save_steps": 500,
257
+ "stateful_callbacks": {
258
+ "TrainerControl": {
259
+ "args": {
260
+ "should_epoch_stop": false,
261
+ "should_evaluate": false,
262
+ "should_log": false,
263
+ "should_save": true,
264
+ "should_training_stop": true
265
+ },
266
+ "attributes": {}
267
+ }
268
+ },
269
+ "total_flos": 23032282372320.0,
270
+ "train_batch_size": 128,
271
+ "trial_name": null,
272
+ "trial_params": {
273
+ "alpha": 0.8670086094179865,
274
+ "learning_rate": 2.432723709409012e-05,
275
+ "num_train_epochs": 3,
276
+ "temperature": 13,
277
+ "warmup_ratio": 0.03434495454544933
278
+ }
279
+ }
run-0/checkpoint-1581/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c13ac8bd9d7d909b6ca7c92c43736d482f4dacbc0fe997a6e1760536a654848f
3
+ size 5240