dzungpham commited on
Commit
cd51d8b
·
verified ·
1 Parent(s): 9503195

upload checkpoints

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/config.json +29 -0
  2. graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/config_hyperparams.json +53 -0
  3. graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/hyperparams.json +35 -0
  4. graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/merges.txt +0 -0
  5. graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/model.safetensors +3 -0
  6. graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/optimizer.pt +3 -0
  7. graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/rng_state.pth +3 -0
  8. graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/scaler.pt +3 -0
  9. graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/scheduler.pt +3 -0
  10. graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/special_tokens_map.json +51 -0
  11. graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/tokenizer.json +0 -0
  12. graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/tokenizer_config.json +58 -0
  13. graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/trainer_state.json +863 -0
  14. graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/training_args.bin +3 -0
  15. graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/vocab.json +0 -0
  16. graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/config.json +29 -0
  17. graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/config_hyperparams.json +53 -0
  18. graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/hyperparams.json +35 -0
  19. graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/merges.txt +0 -0
  20. graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/model.safetensors +3 -0
  21. graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/optimizer.pt +3 -0
  22. graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/rng_state.pth +3 -0
  23. graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/scaler.pt +3 -0
  24. graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/scheduler.pt +3 -0
  25. graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/special_tokens_map.json +51 -0
  26. graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/tokenizer.json +0 -0
  27. graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/tokenizer_config.json +58 -0
  28. graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/trainer_state.json +877 -0
  29. graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/training_args.bin +3 -0
  30. graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/vocab.json +0 -0
  31. graphcodebert-base-lowLR-highBatchSize/checkpoint-850/config.json +29 -0
  32. graphcodebert-base-lowLR-highBatchSize/checkpoint-850/config_hyperparams.json +53 -0
  33. graphcodebert-base-lowLR-highBatchSize/checkpoint-850/hyperparams.json +35 -0
  34. graphcodebert-base-lowLR-highBatchSize/checkpoint-850/merges.txt +0 -0
  35. graphcodebert-base-lowLR-highBatchSize/checkpoint-850/model.safetensors +3 -0
  36. graphcodebert-base-lowLR-highBatchSize/checkpoint-850/optimizer.pt +3 -0
  37. graphcodebert-base-lowLR-highBatchSize/checkpoint-850/rng_state.pth +3 -0
  38. graphcodebert-base-lowLR-highBatchSize/checkpoint-850/scaler.pt +3 -0
  39. graphcodebert-base-lowLR-highBatchSize/checkpoint-850/scheduler.pt +3 -0
  40. graphcodebert-base-lowLR-highBatchSize/checkpoint-850/special_tokens_map.json +51 -0
  41. graphcodebert-base-lowLR-highBatchSize/checkpoint-850/tokenizer.json +0 -0
  42. graphcodebert-base-lowLR-highBatchSize/checkpoint-850/tokenizer_config.json +58 -0
  43. graphcodebert-base-lowLR-highBatchSize/checkpoint-850/trainer_state.json +722 -0
  44. graphcodebert-base-lowLR-highBatchSize/checkpoint-850/training_args.bin +3 -0
  45. graphcodebert-base-lowLR-highBatchSize/checkpoint-850/vocab.json +0 -0
  46. graphcodebert-base-lowLR-highBatchSize/checkpoint-900/config.json +29 -0
  47. graphcodebert-base-lowLR-highBatchSize/checkpoint-900/config_hyperparams.json +53 -0
  48. graphcodebert-base-lowLR-highBatchSize/checkpoint-900/hyperparams.json +35 -0
  49. graphcodebert-base-lowLR-highBatchSize/checkpoint-900/merges.txt +0 -0
  50. graphcodebert-base-lowLR-highBatchSize/checkpoint-900/model.safetensors +3 -0
graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "RobertaForSequenceClassification"
4
+ ],
5
+ "attention_probs_dropout_prob": 0.3,
6
+ "bos_token_id": 0,
7
+ "classifier_dropout": 0.3,
8
+ "dtype": "float32",
9
+ "eos_token_id": 2,
10
+ "gradient_checkpointing": false,
11
+ "hidden_act": "gelu",
12
+ "hidden_dropout_prob": 0.3,
13
+ "hidden_size": 768,
14
+ "initializer_range": 0.02,
15
+ "intermediate_size": 3072,
16
+ "layer_norm_eps": 1e-05,
17
+ "max_position_embeddings": 514,
18
+ "model_type": "roberta",
19
+ "num_attention_heads": 12,
20
+ "num_hidden_layers": 12,
21
+ "output_past": true,
22
+ "pad_token_id": 1,
23
+ "position_embedding_type": "absolute",
24
+ "problem_type": "single_label_classification",
25
+ "transformers_version": "4.56.0",
26
+ "type_vocab_size": 1,
27
+ "use_cache": true,
28
+ "vocab_size": 50265
29
+ }
graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/config_hyperparams.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "train_config": {
3
+ "model_name": "microsoft/graphcodebert-base",
4
+ "num_epochs": 1,
5
+ "batch_size": 256,
6
+ "learning_rate": 1e-06,
7
+ "max_length": 512,
8
+ "num_labels": 2,
9
+ "loss_type": "r-drop",
10
+ "focal_alpha": 1.0,
11
+ "focal_gamma": 2.0,
12
+ "r_drop_alpha": 10.0,
13
+ "infonce_temperature": 0.07,
14
+ "infonce_weight": 0.5,
15
+ "label_smoothing": 0.5,
16
+ "adversarial_epsilon": 0.5,
17
+ "use_swa": false,
18
+ "swa_start_epoch": 0,
19
+ "swa_lr": 1e-05,
20
+ "data_augmentation": true,
21
+ "aug_rename_prob": 0.8,
22
+ "aug_format_prob": 0.8,
23
+ "freeze_base": true,
24
+ "seed": 42,
25
+ "use_wandb": true,
26
+ "mixup_alpha": 1.0,
27
+ "low_pass_keep_ratio": 0.5,
28
+ "freq_consistency_weight": 0.5
29
+ },
30
+ "training_arguments": {
31
+ "output_dir": "output_checkpoints/graphcodebert-base-lowLR-highBatchSize/",
32
+ "num_train_epochs": 1,
33
+ "per_device_train_batch_size": 256,
34
+ "per_device_eval_batch_size": 512,
35
+ "learning_rate": 1e-06,
36
+ "warmup_steps": 204,
37
+ "weight_decay": 0.1,
38
+ "logging_steps": 10,
39
+ "eval_steps": 50,
40
+ "save_steps": 50,
41
+ "metric_for_best_model": "macro_f1",
42
+ "greater_is_better": true,
43
+ "save_total_limit": 5,
44
+ "fp16": true,
45
+ "seed": 42
46
+ },
47
+ "training_state": {
48
+ "global_step": 1000,
49
+ "epoch": 0.9784735812133072,
50
+ "best_metric": 0.5584519389438943,
51
+ "best_model_checkpoint": "output_checkpoints/graphcodebert-base-lowLR-highBatchSize/checkpoint-900"
52
+ }
53
+ }
graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/hyperparams.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "model_name": "microsoft/graphcodebert-base",
3
+ "output_dir": "output_checkpoints/graphcodebert-base-lowLR-highBatchSize/",
4
+ "num_epochs": 1,
5
+ "max_steps": -1,
6
+ "batch_size": 256,
7
+ "learning_rate": 1e-06,
8
+ "max_length": 512,
9
+ "num_labels": 2,
10
+ "use_wandb": true,
11
+ "freeze_base": true,
12
+ "loss_type": "r-drop",
13
+ "focal_alpha": 1.0,
14
+ "focal_gamma": 2.0,
15
+ "r_drop_alpha": 10.0,
16
+ "infonce_temperature": 0.07,
17
+ "infonce_weight": 0.5,
18
+ "seed": 42,
19
+ "resume_from_checkpoint": "checkpoints/graphcodebert-base-lowLR-highBatchSize/checkpoint-500",
20
+ "label_smoothing": 0.5,
21
+ "adversarial_epsilon": 0.5,
22
+ "use_swa": false,
23
+ "swa_start_epoch": 0,
24
+ "swa_lr": 1e-05,
25
+ "data_augmentation": true,
26
+ "aug_rename_prob": 0.8,
27
+ "aug_format_prob": 0.8,
28
+ "mixup_alpha": 1.0,
29
+ "low_pass_keep_ratio": 0.5,
30
+ "freq_consistency_weight": 0.5,
31
+ "hidden_dropout_prob": 0.3,
32
+ "attention_probs_dropout_prob": 0.3,
33
+ "classifier_dropout": 0.3,
34
+ "device": "cuda"
35
+ }
graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ce2c655bc88524b2b24a5769ffd30d15b8fb4dadc6531be416f2723b135ae619
3
+ size 498612824
graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d1f93d4528d9aba86d394451b0fb00538d689b14cc49f195ade71c8126f9807a
3
+ size 4741859
graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:95c54f1bfe3ad63d4a84ab4d893ea72e8cf876619b55a8d4a246b343613af58c
3
+ size 14645
graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b21c5349d5e7d02de630ebc1cb53ade1d9c6079eeb8594d223bb786011a0428b
3
+ size 1383
graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ac5d09b7e45e1cd11796cf49852e18771997ad3dffc320a12c4418112d739574
3
+ size 1465
graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/special_tokens_map.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": true,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "cls_token": {
10
+ "content": "<s>",
11
+ "lstrip": false,
12
+ "normalized": true,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "eos_token": {
17
+ "content": "</s>",
18
+ "lstrip": false,
19
+ "normalized": true,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "mask_token": {
24
+ "content": "<mask>",
25
+ "lstrip": true,
26
+ "normalized": true,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ "pad_token": {
31
+ "content": "<pad>",
32
+ "lstrip": false,
33
+ "normalized": true,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ },
37
+ "sep_token": {
38
+ "content": "</s>",
39
+ "lstrip": false,
40
+ "normalized": true,
41
+ "rstrip": false,
42
+ "single_word": false
43
+ },
44
+ "unk_token": {
45
+ "content": "<unk>",
46
+ "lstrip": false,
47
+ "normalized": true,
48
+ "rstrip": false,
49
+ "single_word": false
50
+ }
51
+ }
graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/tokenizer_config.json ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "0": {
5
+ "content": "<s>",
6
+ "lstrip": false,
7
+ "normalized": true,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "1": {
13
+ "content": "<pad>",
14
+ "lstrip": false,
15
+ "normalized": true,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "2": {
21
+ "content": "</s>",
22
+ "lstrip": false,
23
+ "normalized": true,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "3": {
29
+ "content": "<unk>",
30
+ "lstrip": false,
31
+ "normalized": true,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "50264": {
37
+ "content": "<mask>",
38
+ "lstrip": true,
39
+ "normalized": true,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ }
44
+ },
45
+ "bos_token": "<s>",
46
+ "clean_up_tokenization_spaces": false,
47
+ "cls_token": "<s>",
48
+ "eos_token": "</s>",
49
+ "errors": "replace",
50
+ "extra_special_tokens": {},
51
+ "mask_token": "<mask>",
52
+ "model_max_length": 512,
53
+ "pad_token": "<pad>",
54
+ "sep_token": "</s>",
55
+ "tokenizer_class": "RobertaTokenizer",
56
+ "trim_offsets": true,
57
+ "unk_token": "<unk>"
58
+ }
graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/trainer_state.json ADDED
@@ -0,0 +1,863 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": 900,
3
+ "best_metric": 0.5584519389438943,
4
+ "best_model_checkpoint": "output_checkpoints/graphcodebert-base-lowLR-highBatchSize/checkpoint-900",
5
+ "epoch": 0.9784735812133072,
6
+ "eval_steps": 50,
7
+ "global_step": 1000,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.009784735812133072,
14
+ "grad_norm": 165951.1875,
15
+ "learning_rate": 4.411764705882353e-08,
16
+ "loss": 0.8416,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.019569471624266144,
21
+ "grad_norm": 206132.796875,
22
+ "learning_rate": 9.313725490196079e-08,
23
+ "loss": 0.8378,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.029354207436399216,
28
+ "grad_norm": 171197.53125,
29
+ "learning_rate": 1.4215686274509803e-07,
30
+ "loss": 0.8388,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.03913894324853229,
35
+ "grad_norm": 206661.828125,
36
+ "learning_rate": 1.9117647058823527e-07,
37
+ "loss": 0.847,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.04892367906066536,
42
+ "grad_norm": 230268.96875,
43
+ "learning_rate": 2.4019607843137255e-07,
44
+ "loss": 0.8411,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.05870841487279843,
49
+ "grad_norm": 133248.28125,
50
+ "learning_rate": 2.8921568627450984e-07,
51
+ "loss": 0.8412,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.0684931506849315,
56
+ "grad_norm": 147768.828125,
57
+ "learning_rate": 3.3823529411764707e-07,
58
+ "loss": 0.8431,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.07827788649706457,
63
+ "grad_norm": 167327.53125,
64
+ "learning_rate": 3.872549019607843e-07,
65
+ "loss": 0.8431,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.08806262230919765,
70
+ "grad_norm": 151943.75,
71
+ "learning_rate": 4.3627450980392154e-07,
72
+ "loss": 0.8311,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.09784735812133072,
77
+ "grad_norm": 149971.59375,
78
+ "learning_rate": 4.852941176470588e-07,
79
+ "loss": 0.8412,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.10763209393346379,
84
+ "grad_norm": 162329.40625,
85
+ "learning_rate": 5.34313725490196e-07,
86
+ "loss": 0.8356,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.11741682974559686,
91
+ "grad_norm": 158769.765625,
92
+ "learning_rate": 5.833333333333334e-07,
93
+ "loss": 0.8351,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.12720156555772993,
98
+ "grad_norm": 157725.59375,
99
+ "learning_rate": 6.323529411764706e-07,
100
+ "loss": 0.8331,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.136986301369863,
105
+ "grad_norm": 205733.0,
106
+ "learning_rate": 6.813725490196079e-07,
107
+ "loss": 0.8366,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.14677103718199608,
112
+ "grad_norm": 172581.328125,
113
+ "learning_rate": 7.30392156862745e-07,
114
+ "loss": 0.831,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.15655577299412915,
119
+ "grad_norm": 137428.0,
120
+ "learning_rate": 7.794117647058823e-07,
121
+ "loss": 0.8326,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.16634050880626222,
126
+ "grad_norm": 151189.203125,
127
+ "learning_rate": 8.284313725490196e-07,
128
+ "loss": 0.8281,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.1761252446183953,
133
+ "grad_norm": 145620.625,
134
+ "learning_rate": 8.774509803921568e-07,
135
+ "loss": 0.8252,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.18590998043052837,
140
+ "grad_norm": 169938.84375,
141
+ "learning_rate": 9.264705882352941e-07,
142
+ "loss": 0.8308,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.19569471624266144,
147
+ "grad_norm": 138760.015625,
148
+ "learning_rate": 9.754901960784313e-07,
149
+ "loss": 0.824,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.2054794520547945,
154
+ "grad_norm": 107872.125,
155
+ "learning_rate": 9.99631294374483e-07,
156
+ "loss": 0.8254,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.21526418786692758,
161
+ "grad_norm": 113610.8359375,
162
+ "learning_rate": 9.966849112204936e-07,
163
+ "loss": 0.8267,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.22504892367906065,
168
+ "grad_norm": 172441.515625,
169
+ "learning_rate": 9.908095200725339e-07,
170
+ "loss": 0.8198,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.23483365949119372,
175
+ "grad_norm": 128079.9140625,
176
+ "learning_rate": 9.82039768787326e-07,
177
+ "loss": 0.8143,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.2446183953033268,
182
+ "grad_norm": 98149.8984375,
183
+ "learning_rate": 9.70427373595903e-07,
184
+ "loss": 0.8191,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.25440313111545987,
189
+ "grad_norm": 147377.4375,
190
+ "learning_rate": 9.560408141270531e-07,
191
+ "loss": 0.8178,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.26418786692759294,
196
+ "grad_norm": 156439.40625,
197
+ "learning_rate": 9.389649295750781e-07,
198
+ "loss": 0.8085,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.273972602739726,
203
+ "grad_norm": 131892.015625,
204
+ "learning_rate": 9.193004183933174e-07,
205
+ "loss": 0.8172,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.2837573385518591,
210
+ "grad_norm": 132474.5,
211
+ "learning_rate": 8.971632444637971e-07,
212
+ "loss": 0.8136,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.29354207436399216,
217
+ "grad_norm": 112619.109375,
218
+ "learning_rate": 8.726839532448928e-07,
219
+ "loss": 0.8065,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.30332681017612523,
224
+ "grad_norm": 94225.5703125,
225
+ "learning_rate": 8.460069019297606e-07,
226
+ "loss": 0.813,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.3131115459882583,
231
+ "grad_norm": 117812.8203125,
232
+ "learning_rate": 8.172894081553822e-07,
233
+ "loss": 0.8022,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.32289628180039137,
238
+ "grad_norm": 143287.125,
239
+ "learning_rate": 7.86700822282382e-07,
240
+ "loss": 0.8061,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.33268101761252444,
245
+ "grad_norm": 107456.25,
246
+ "learning_rate": 7.544215287164917e-07,
247
+ "loss": 0.8006,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.3424657534246575,
252
+ "grad_norm": 101521.171875,
253
+ "learning_rate": 7.206418821609812e-07,
254
+ "loss": 0.8055,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.3522504892367906,
259
+ "grad_norm": 118311.5234375,
260
+ "learning_rate": 6.855610850731017e-07,
261
+ "loss": 0.8081,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.36203522504892366,
266
+ "grad_norm": 89621.828125,
267
+ "learning_rate": 6.493860129443046e-07,
268
+ "loss": 0.8058,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.37181996086105673,
273
+ "grad_norm": 143168.65625,
274
+ "learning_rate": 6.123299943316975e-07,
275
+ "loss": 0.8028,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.3816046966731898,
280
+ "grad_norm": 118598.2890625,
281
+ "learning_rate": 5.746115528350295e-07,
282
+ "loss": 0.8032,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.3913894324853229,
287
+ "grad_norm": 111807.8203125,
288
+ "learning_rate": 5.364531184379139e-07,
289
+ "loss": 0.8014,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.40117416829745595,
294
+ "grad_norm": 124106.1328125,
295
+ "learning_rate": 4.980797158126566e-07,
296
+ "loss": 0.8045,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.410958904109589,
301
+ "grad_norm": 102746.4765625,
302
+ "learning_rate": 4.597176373239061e-07,
303
+ "loss": 0.7996,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.4207436399217221,
308
+ "grad_norm": 108317.5859375,
309
+ "learning_rate": 4.215931085565761e-07,
310
+ "loss": 0.8037,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.43052837573385516,
315
+ "grad_norm": 113342.515625,
316
+ "learning_rate": 3.8393095423757764e-07,
317
+ "loss": 0.8047,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.44031311154598823,
322
+ "grad_norm": 111908.90625,
323
+ "learning_rate": 3.469532724185699e-07,
324
+ "loss": 0.8021,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.4500978473581213,
329
+ "grad_norm": 85004.15625,
330
+ "learning_rate": 3.1087812473822845e-07,
331
+ "loss": 0.8012,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.4598825831702544,
336
+ "grad_norm": 98335.1796875,
337
+ "learning_rate": 2.7591825048770643e-07,
338
+ "loss": 0.7977,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.46966731898238745,
343
+ "grad_norm": 110674.03125,
344
+ "learning_rate": 2.422798120625886e-07,
345
+ "loss": 0.7979,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.4794520547945205,
350
+ "grad_norm": 114861.5390625,
351
+ "learning_rate": 2.1016117919955512e-07,
352
+ "loss": 0.8014,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.4892367906066536,
357
+ "grad_norm": 130109.5703125,
358
+ "learning_rate": 1.7975175916725031e-07,
359
+ "loss": 0.7994,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.49902152641878667,
364
+ "grad_norm": 93286.4296875,
365
+ "learning_rate": 1.5123087980985606e-07,
366
+ "loss": 0.8039,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.5088062622309197,
371
+ "grad_norm": 123646.703125,
372
+ "learning_rate": 1.2476673203018728e-07,
373
+ "loss": 0.7917,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.5185909980430529,
378
+ "grad_norm": 98060.2265625,
379
+ "learning_rate": 1.0051537794861287e-07,
380
+ "loss": 0.7945,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.5283757338551859,
385
+ "grad_norm": 91181.1796875,
386
+ "learning_rate": 7.861983058679871e-08,
387
+ "loss": 0.7952,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.538160469667319,
392
+ "grad_norm": 97605.3984375,
393
+ "learning_rate": 5.920921050348626e-08,
394
+ "loss": 0.7963,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.538160469667319,
399
+ "eval_accuracy": 0.767,
400
+ "eval_loss": 0.662277102470398,
401
+ "eval_macro_f1": 0.5341406895117674,
402
+ "eval_precision": 0.6105222734254993,
403
+ "eval_recall": 0.5415245482510056,
404
+ "eval_runtime": 16.9722,
405
+ "eval_samples_per_second": 58.92,
406
+ "eval_steps_per_second": 0.059,
407
+ "step": 550
408
+ },
409
+ {
410
+ "epoch": 0.547945205479452,
411
+ "grad_norm": 101627.8046875,
412
+ "learning_rate": 4.23979843557199e-08,
413
+ "loss": 0.7962,
414
+ "step": 560
415
+ },
416
+ {
417
+ "epoch": 0.5577299412915852,
418
+ "grad_norm": 73889.578125,
419
+ "learning_rate": 2.8285289875818407e-08,
420
+ "loss": 0.794,
421
+ "step": 570
422
+ },
423
+ {
424
+ "epoch": 0.5675146771037182,
425
+ "grad_norm": 87191.0546875,
426
+ "learning_rate": 1.695435124477512e-08,
427
+ "loss": 0.7984,
428
+ "step": 580
429
+ },
430
+ {
431
+ "epoch": 0.5772994129158513,
432
+ "grad_norm": 105470.234375,
433
+ "learning_rate": 8.471988309699807e-09,
434
+ "loss": 0.7924,
435
+ "step": 590
436
+ },
437
+ {
438
+ "epoch": 0.5870841487279843,
439
+ "grad_norm": 81710.7265625,
440
+ "learning_rate": 2.8882225395023275e-09,
441
+ "loss": 0.8005,
442
+ "step": 600
443
+ },
444
+ {
445
+ "epoch": 0.5870841487279843,
446
+ "eval_accuracy": 0.767,
447
+ "eval_loss": 0.6623347401618958,
448
+ "eval_macro_f1": 0.5341406895117674,
449
+ "eval_precision": 0.6105222734254993,
450
+ "eval_recall": 0.5415245482510056,
451
+ "eval_runtime": 17.0174,
452
+ "eval_samples_per_second": 58.763,
453
+ "eval_steps_per_second": 0.059,
454
+ "step": 600
455
+ },
456
+ {
457
+ "epoch": 0.5968688845401174,
458
+ "grad_norm": 97212.125,
459
+ "learning_rate": 2.35982042542604e-10,
460
+ "loss": 0.7981,
461
+ "step": 610
462
+ },
463
+ {
464
+ "epoch": 0.6066536203522505,
465
+ "grad_norm": 100700.640625,
466
+ "learning_rate": 9.994690926142082e-07,
467
+ "loss": 0.8006,
468
+ "step": 620
469
+ },
470
+ {
471
+ "epoch": 0.6164383561643836,
472
+ "grad_norm": 88023.046875,
473
+ "learning_rate": 9.962287406393883e-07,
474
+ "loss": 0.7976,
475
+ "step": 630
476
+ },
477
+ {
478
+ "epoch": 0.6262230919765166,
479
+ "grad_norm": 118936.609375,
480
+ "learning_rate": 9.900620707609317e-07,
481
+ "loss": 0.7961,
482
+ "step": 640
483
+ },
484
+ {
485
+ "epoch": 0.6360078277886497,
486
+ "grad_norm": 91811.3984375,
487
+ "learning_rate": 9.810054485397043e-07,
488
+ "loss": 0.7904,
489
+ "step": 650
490
+ },
491
+ {
492
+ "epoch": 0.6360078277886497,
493
+ "eval_accuracy": 0.757,
494
+ "eval_loss": 0.6629467606544495,
495
+ "eval_macro_f1": 0.5299579283330915,
496
+ "eval_precision": 0.5844492268452096,
497
+ "eval_recall": 0.5366881936388663,
498
+ "eval_runtime": 17.0504,
499
+ "eval_samples_per_second": 58.65,
500
+ "eval_steps_per_second": 0.059,
501
+ "step": 650
502
+ },
503
+ {
504
+ "epoch": 0.6457925636007827,
505
+ "grad_norm": 118632.46875,
506
+ "learning_rate": 9.69112281917613e-07,
507
+ "loss": 0.7927,
508
+ "step": 660
509
+ },
510
+ {
511
+ "epoch": 0.6555772994129159,
512
+ "grad_norm": 70413.0390625,
513
+ "learning_rate": 9.544527062648345e-07,
514
+ "loss": 0.785,
515
+ "step": 670
516
+ },
517
+ {
518
+ "epoch": 0.6653620352250489,
519
+ "grad_norm": 84746.4453125,
520
+ "learning_rate": 9.371131707834789e-07,
521
+ "loss": 0.7861,
522
+ "step": 680
523
+ },
524
+ {
525
+ "epoch": 0.675146771037182,
526
+ "grad_norm": 92019.0390625,
527
+ "learning_rate": 9.171959287067115e-07,
528
+ "loss": 0.7892,
529
+ "step": 690
530
+ },
531
+ {
532
+ "epoch": 0.684931506849315,
533
+ "grad_norm": 70649.2578125,
534
+ "learning_rate": 8.948184342996868e-07,
535
+ "loss": 0.789,
536
+ "step": 700
537
+ },
538
+ {
539
+ "epoch": 0.684931506849315,
540
+ "eval_accuracy": 0.751,
541
+ "eval_loss": 0.6648359894752502,
542
+ "eval_macro_f1": 0.5514410631387237,
543
+ "eval_precision": 0.589223697650664,
544
+ "eval_recall": 0.5504123598294002,
545
+ "eval_runtime": 17.0124,
546
+ "eval_samples_per_second": 58.781,
547
+ "eval_steps_per_second": 0.059,
548
+ "step": 700
549
+ },
550
+ {
551
+ "epoch": 0.6947162426614482,
552
+ "grad_norm": 80338.796875,
553
+ "learning_rate": 8.701126502182503e-07,
554
+ "loss": 0.7907,
555
+ "step": 710
556
+ },
557
+ {
558
+ "epoch": 0.7045009784735812,
559
+ "grad_norm": 69257.328125,
560
+ "learning_rate": 8.432242693099946e-07,
561
+ "loss": 0.7881,
562
+ "step": 720
563
+ },
564
+ {
565
+ "epoch": 0.7142857142857143,
566
+ "grad_norm": 95345.15625,
567
+ "learning_rate": 8.14311855446795e-07,
568
+ "loss": 0.7849,
569
+ "step": 730
570
+ },
571
+ {
572
+ "epoch": 0.7240704500978473,
573
+ "grad_norm": 94407.8984375,
574
+ "learning_rate": 7.835459084554374e-07,
575
+ "loss": 0.7868,
576
+ "step": 740
577
+ },
578
+ {
579
+ "epoch": 0.7338551859099804,
580
+ "grad_norm": 74418.0625,
581
+ "learning_rate": 7.511078586605484e-07,
582
+ "loss": 0.783,
583
+ "step": 750
584
+ },
585
+ {
586
+ "epoch": 0.7338551859099804,
587
+ "eval_accuracy": 0.742,
588
+ "eval_loss": 0.6660248637199402,
589
+ "eval_macro_f1": 0.5532467532467532,
590
+ "eval_precision": 0.579727791757989,
591
+ "eval_recall": 0.5510154613293626,
592
+ "eval_runtime": 16.9303,
593
+ "eval_samples_per_second": 59.066,
594
+ "eval_steps_per_second": 0.059,
595
+ "step": 750
596
+ },
597
+ {
598
+ "epoch": 0.7436399217221135,
599
+ "grad_norm": 95142.0546875,
600
+ "learning_rate": 7.171889969691225e-07,
601
+ "loss": 0.7861,
602
+ "step": 760
603
+ },
604
+ {
605
+ "epoch": 0.7534246575342466,
606
+ "grad_norm": 118907.203125,
607
+ "learning_rate": 6.819893468060643e-07,
608
+ "loss": 0.7878,
609
+ "step": 770
610
+ },
611
+ {
612
+ "epoch": 0.7632093933463796,
613
+ "grad_norm": 66268.78125,
614
+ "learning_rate": 6.457164845530662e-07,
615
+ "loss": 0.7859,
616
+ "step": 780
617
+ },
618
+ {
619
+ "epoch": 0.7729941291585127,
620
+ "grad_norm": 81464.265625,
621
+ "learning_rate": 6.085843154468354e-07,
622
+ "loss": 0.7819,
623
+ "step": 790
624
+ },
625
+ {
626
+ "epoch": 0.7827788649706457,
627
+ "grad_norm": 87098.984375,
628
+ "learning_rate": 5.708118121553318e-07,
629
+ "loss": 0.7801,
630
+ "step": 800
631
+ },
632
+ {
633
+ "epoch": 0.7827788649706457,
634
+ "eval_accuracy": 0.734,
635
+ "eval_loss": 0.667039155960083,
636
+ "eval_macro_f1": 0.5514001038862917,
637
+ "eval_precision": 0.5710358542434345,
638
+ "eval_recall": 0.5490647598270917,
639
+ "eval_runtime": 17.0236,
640
+ "eval_samples_per_second": 58.742,
641
+ "eval_steps_per_second": 0.059,
642
+ "step": 800
643
+ },
644
+ {
645
+ "epoch": 0.7925636007827789,
646
+ "grad_norm": 70466.7109375,
647
+ "learning_rate": 5.326217234707852e-07,
648
+ "loss": 0.7782,
649
+ "step": 810
650
+ },
651
+ {
652
+ "epoch": 0.8023483365949119,
653
+ "grad_norm": 78038.6015625,
654
+ "learning_rate": 4.942392607344717e-07,
655
+ "loss": 0.786,
656
+ "step": 820
657
+ },
658
+ {
659
+ "epoch": 0.812133072407045,
660
+ "grad_norm": 91227.28125,
661
+ "learning_rate": 4.558907697395553e-07,
662
+ "loss": 0.7781,
663
+ "step": 830
664
+ },
665
+ {
666
+ "epoch": 0.821917808219178,
667
+ "grad_norm": 85470.5625,
668
+ "learning_rate": 4.1780239594393807e-07,
669
+ "loss": 0.7806,
670
+ "step": 840
671
+ },
672
+ {
673
+ "epoch": 0.8317025440313112,
674
+ "grad_norm": 73229.96875,
675
+ "learning_rate": 3.8019875086450787e-07,
676
+ "loss": 0.7823,
677
+ "step": 850
678
+ },
679
+ {
680
+ "epoch": 0.8317025440313112,
681
+ "eval_accuracy": 0.725,
682
+ "eval_loss": 0.668379545211792,
683
+ "eval_macro_f1": 0.5541786430494829,
684
+ "eval_precision": 0.5667714002224962,
685
+ "eval_recall": 0.5512665131499213,
686
+ "eval_runtime": 16.9299,
687
+ "eval_samples_per_second": 59.067,
688
+ "eval_steps_per_second": 0.059,
689
+ "step": 850
690
+ },
691
+ {
692
+ "epoch": 0.8414872798434442,
693
+ "grad_norm": 84347.0546875,
694
+ "learning_rate": 3.4330158751721504e-07,
695
+ "loss": 0.7805,
696
+ "step": 860
697
+ },
698
+ {
699
+ "epoch": 0.8512720156555773,
700
+ "grad_norm": 60984.21875,
701
+ "learning_rate": 3.0732849271405547e-07,
702
+ "loss": 0.779,
703
+ "step": 870
704
+ },
705
+ {
706
+ "epoch": 0.8610567514677103,
707
+ "grad_norm": 72854.8046875,
708
+ "learning_rate": 2.7249160392863903e-07,
709
+ "loss": 0.7811,
710
+ "step": 880
711
+ },
712
+ {
713
+ "epoch": 0.8708414872798435,
714
+ "grad_norm": 69136.65625,
715
+ "learning_rate": 2.3899635829713077e-07,
716
+ "loss": 0.7811,
717
+ "step": 890
718
+ },
719
+ {
720
+ "epoch": 0.8806262230919765,
721
+ "grad_norm": 74345.7421875,
722
+ "learning_rate": 2.0704028113185306e-07,
723
+ "loss": 0.7845,
724
+ "step": 900
725
+ },
726
+ {
727
+ "epoch": 0.8806262230919765,
728
+ "eval_accuracy": 0.726,
729
+ "eval_loss": 0.6684988737106323,
730
+ "eval_macro_f1": 0.5584519389438943,
731
+ "eval_precision": 0.5706882639048261,
732
+ "eval_recall": 0.555107317439156,
733
+ "eval_runtime": 16.9904,
734
+ "eval_samples_per_second": 58.857,
735
+ "eval_steps_per_second": 0.059,
736
+ "step": 900
737
+ },
738
+ {
739
+ "epoch": 0.8904109589041096,
740
+ "grad_norm": 75862.8046875,
741
+ "learning_rate": 1.768118210918219e-07,
742
+ "loss": 0.7821,
743
+ "step": 910
744
+ },
745
+ {
746
+ "epoch": 0.9001956947162426,
747
+ "grad_norm": 60382.25,
748
+ "learning_rate": 1.484892388793511e-07,
749
+ "loss": 0.7811,
750
+ "step": 920
751
+ },
752
+ {
753
+ "epoch": 0.9099804305283757,
754
+ "grad_norm": 67346.859375,
755
+ "learning_rate": 1.2223955601620633e-07,
756
+ "loss": 0.781,
757
+ "step": 930
758
+ },
759
+ {
760
+ "epoch": 0.9197651663405088,
761
+ "grad_norm": 81895.7265625,
762
+ "learning_rate": 9.821756989850016e-08,
763
+ "loss": 0.7816,
764
+ "step": 940
765
+ },
766
+ {
767
+ "epoch": 0.9295499021526419,
768
+ "grad_norm": 87715.9453125,
769
+ "learning_rate": 7.656494093865984e-08,
770
+ "loss": 0.7815,
771
+ "step": 950
772
+ },
773
+ {
774
+ "epoch": 0.9295499021526419,
775
+ "eval_accuracy": 0.723,
776
+ "eval_loss": 0.6687072515487671,
777
+ "eval_macro_f1": 0.5562540149399822,
778
+ "eval_precision": 0.5672044579297467,
779
+ "eval_recall": 0.553176815508654,
780
+ "eval_runtime": 16.997,
781
+ "eval_samples_per_second": 58.834,
782
+ "eval_steps_per_second": 0.059,
783
+ "step": 950
784
+ },
785
+ {
786
+ "epoch": 0.9393346379647749,
787
+ "grad_norm": 62333.75390625,
788
+ "learning_rate": 5.740935717769707e-08,
789
+ "loss": 0.775,
790
+ "step": 960
791
+ },
792
+ {
793
+ "epoch": 0.949119373776908,
794
+ "grad_norm": 67404.265625,
795
+ "learning_rate": 4.0863781294158185e-08,
796
+ "loss": 0.78,
797
+ "step": 970
798
+ },
799
+ {
800
+ "epoch": 0.958904109589041,
801
+ "grad_norm": 75798.1328125,
802
+ "learning_rate": 2.702578445022852e-08,
803
+ "loss": 0.7808,
804
+ "step": 980
805
+ },
806
+ {
807
+ "epoch": 0.9686888454011742,
808
+ "grad_norm": 77483.9609375,
809
+ "learning_rate": 1.597697090337763e-08,
810
+ "loss": 0.7804,
811
+ "step": 990
812
+ },
813
+ {
814
+ "epoch": 0.9784735812133072,
815
+ "grad_norm": 82261.78125,
816
+ "learning_rate": 7.782496776675695e-09,
817
+ "loss": 0.7795,
818
+ "step": 1000
819
+ },
820
+ {
821
+ "epoch": 0.9784735812133072,
822
+ "eval_accuracy": 0.723,
823
+ "eval_loss": 0.6687466502189636,
824
+ "eval_macro_f1": 0.5579874225879597,
825
+ "eval_precision": 0.5685547947184422,
826
+ "eval_recall": 0.5547754673315212,
827
+ "eval_runtime": 16.934,
828
+ "eval_samples_per_second": 59.053,
829
+ "eval_steps_per_second": 0.059,
830
+ "step": 1000
831
+ }
832
+ ],
833
+ "logging_steps": 10,
834
+ "max_steps": 1022,
835
+ "num_input_tokens_seen": 0,
836
+ "num_train_epochs": 1,
837
+ "save_steps": 50,
838
+ "stateful_callbacks": {
839
+ "EarlyStoppingCallback": {
840
+ "args": {
841
+ "early_stopping_patience": 3,
842
+ "early_stopping_threshold": 0.0
843
+ },
844
+ "attributes": {
845
+ "early_stopping_patience_counter": 2
846
+ }
847
+ },
848
+ "TrainerControl": {
849
+ "args": {
850
+ "should_epoch_stop": false,
851
+ "should_evaluate": false,
852
+ "should_log": false,
853
+ "should_save": true,
854
+ "should_training_stop": false
855
+ },
856
+ "attributes": {}
857
+ }
858
+ },
859
+ "total_flos": 1.3471286034432e+17,
860
+ "train_batch_size": 512,
861
+ "trial_name": null,
862
+ "trial_params": null
863
+ }
graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a8307116b3e23cecae8ec65819b3c2e7993d8af193c50142730ae3c50bce70d6
3
+ size 5905
graphcodebert-base-lowLR-highBatchSize/checkpoint-1000/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "RobertaForSequenceClassification"
4
+ ],
5
+ "attention_probs_dropout_prob": 0.3,
6
+ "bos_token_id": 0,
7
+ "classifier_dropout": 0.3,
8
+ "dtype": "float32",
9
+ "eos_token_id": 2,
10
+ "gradient_checkpointing": false,
11
+ "hidden_act": "gelu",
12
+ "hidden_dropout_prob": 0.3,
13
+ "hidden_size": 768,
14
+ "initializer_range": 0.02,
15
+ "intermediate_size": 3072,
16
+ "layer_norm_eps": 1e-05,
17
+ "max_position_embeddings": 514,
18
+ "model_type": "roberta",
19
+ "num_attention_heads": 12,
20
+ "num_hidden_layers": 12,
21
+ "output_past": true,
22
+ "pad_token_id": 1,
23
+ "position_embedding_type": "absolute",
24
+ "problem_type": "single_label_classification",
25
+ "transformers_version": "4.56.0",
26
+ "type_vocab_size": 1,
27
+ "use_cache": true,
28
+ "vocab_size": 50265
29
+ }
graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/config_hyperparams.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "train_config": {
3
+ "model_name": "microsoft/graphcodebert-base",
4
+ "num_epochs": 1,
5
+ "batch_size": 256,
6
+ "learning_rate": 1e-06,
7
+ "max_length": 512,
8
+ "num_labels": 2,
9
+ "loss_type": "r-drop",
10
+ "focal_alpha": 1.0,
11
+ "focal_gamma": 2.0,
12
+ "r_drop_alpha": 10.0,
13
+ "infonce_temperature": 0.07,
14
+ "infonce_weight": 0.5,
15
+ "label_smoothing": 0.5,
16
+ "adversarial_epsilon": 0.5,
17
+ "use_swa": false,
18
+ "swa_start_epoch": 0,
19
+ "swa_lr": 1e-05,
20
+ "data_augmentation": true,
21
+ "aug_rename_prob": 0.8,
22
+ "aug_format_prob": 0.8,
23
+ "freeze_base": true,
24
+ "seed": 42,
25
+ "use_wandb": true,
26
+ "mixup_alpha": 1.0,
27
+ "low_pass_keep_ratio": 0.5,
28
+ "freq_consistency_weight": 0.5
29
+ },
30
+ "training_arguments": {
31
+ "output_dir": "output_checkpoints/graphcodebert-base-lowLR-highBatchSize/",
32
+ "num_train_epochs": 1,
33
+ "per_device_train_batch_size": 256,
34
+ "per_device_eval_batch_size": 512,
35
+ "learning_rate": 1e-06,
36
+ "warmup_steps": 204,
37
+ "weight_decay": 0.1,
38
+ "logging_steps": 10,
39
+ "eval_steps": 50,
40
+ "save_steps": 50,
41
+ "metric_for_best_model": "macro_f1",
42
+ "greater_is_better": true,
43
+ "save_total_limit": 5,
44
+ "fp16": true,
45
+ "seed": 42
46
+ },
47
+ "training_state": {
48
+ "global_step": 1022,
49
+ "epoch": 1.0,
50
+ "best_metric": 0.5584519389438943,
51
+ "best_model_checkpoint": "output_checkpoints/graphcodebert-base-lowLR-highBatchSize/checkpoint-900"
52
+ }
53
+ }
graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/hyperparams.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "model_name": "microsoft/graphcodebert-base",
3
+ "output_dir": "output_checkpoints/graphcodebert-base-lowLR-highBatchSize/",
4
+ "num_epochs": 1,
5
+ "max_steps": -1,
6
+ "batch_size": 256,
7
+ "learning_rate": 1e-06,
8
+ "max_length": 512,
9
+ "num_labels": 2,
10
+ "use_wandb": true,
11
+ "freeze_base": true,
12
+ "loss_type": "r-drop",
13
+ "focal_alpha": 1.0,
14
+ "focal_gamma": 2.0,
15
+ "r_drop_alpha": 10.0,
16
+ "infonce_temperature": 0.07,
17
+ "infonce_weight": 0.5,
18
+ "seed": 42,
19
+ "resume_from_checkpoint": "checkpoints/graphcodebert-base-lowLR-highBatchSize/checkpoint-500",
20
+ "label_smoothing": 0.5,
21
+ "adversarial_epsilon": 0.5,
22
+ "use_swa": false,
23
+ "swa_start_epoch": 0,
24
+ "swa_lr": 1e-05,
25
+ "data_augmentation": true,
26
+ "aug_rename_prob": 0.8,
27
+ "aug_format_prob": 0.8,
28
+ "mixup_alpha": 1.0,
29
+ "low_pass_keep_ratio": 0.5,
30
+ "freq_consistency_weight": 0.5,
31
+ "hidden_dropout_prob": 0.3,
32
+ "attention_probs_dropout_prob": 0.3,
33
+ "classifier_dropout": 0.3,
34
+ "device": "cuda"
35
+ }
graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:007997eaa459b87c8c3017ef28539ea952197e645a14c6e2fe3bb37f8d4ede5c
3
+ size 498612824
graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:14570faac475f55376f6ac26bdbbf15b3ee3a6f9abcd17d2521f8e05a2c814a0
3
+ size 4741859
graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:45e955ee2f646a917a4a15bf15b609d5a6b8a482b57701dd2c7d5f4d9d0def51
3
+ size 14645
graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b21c5349d5e7d02de630ebc1cb53ade1d9c6079eeb8594d223bb786011a0428b
3
+ size 1383
graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a7956fe29eeb8c96b8b73aab40a1822303157f9bb955825e841b2c375612ea5f
3
+ size 1465
graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/special_tokens_map.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": true,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "cls_token": {
10
+ "content": "<s>",
11
+ "lstrip": false,
12
+ "normalized": true,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "eos_token": {
17
+ "content": "</s>",
18
+ "lstrip": false,
19
+ "normalized": true,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "mask_token": {
24
+ "content": "<mask>",
25
+ "lstrip": true,
26
+ "normalized": true,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ "pad_token": {
31
+ "content": "<pad>",
32
+ "lstrip": false,
33
+ "normalized": true,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ },
37
+ "sep_token": {
38
+ "content": "</s>",
39
+ "lstrip": false,
40
+ "normalized": true,
41
+ "rstrip": false,
42
+ "single_word": false
43
+ },
44
+ "unk_token": {
45
+ "content": "<unk>",
46
+ "lstrip": false,
47
+ "normalized": true,
48
+ "rstrip": false,
49
+ "single_word": false
50
+ }
51
+ }
graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/tokenizer_config.json ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "0": {
5
+ "content": "<s>",
6
+ "lstrip": false,
7
+ "normalized": true,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "1": {
13
+ "content": "<pad>",
14
+ "lstrip": false,
15
+ "normalized": true,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "2": {
21
+ "content": "</s>",
22
+ "lstrip": false,
23
+ "normalized": true,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "3": {
29
+ "content": "<unk>",
30
+ "lstrip": false,
31
+ "normalized": true,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "50264": {
37
+ "content": "<mask>",
38
+ "lstrip": true,
39
+ "normalized": true,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ }
44
+ },
45
+ "bos_token": "<s>",
46
+ "clean_up_tokenization_spaces": false,
47
+ "cls_token": "<s>",
48
+ "eos_token": "</s>",
49
+ "errors": "replace",
50
+ "extra_special_tokens": {},
51
+ "mask_token": "<mask>",
52
+ "model_max_length": 512,
53
+ "pad_token": "<pad>",
54
+ "sep_token": "</s>",
55
+ "tokenizer_class": "RobertaTokenizer",
56
+ "trim_offsets": true,
57
+ "unk_token": "<unk>"
58
+ }
graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/trainer_state.json ADDED
@@ -0,0 +1,877 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": 900,
3
+ "best_metric": 0.5584519389438943,
4
+ "best_model_checkpoint": "output_checkpoints/graphcodebert-base-lowLR-highBatchSize/checkpoint-900",
5
+ "epoch": 1.0,
6
+ "eval_steps": 50,
7
+ "global_step": 1022,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.009784735812133072,
14
+ "grad_norm": 165951.1875,
15
+ "learning_rate": 4.411764705882353e-08,
16
+ "loss": 0.8416,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.019569471624266144,
21
+ "grad_norm": 206132.796875,
22
+ "learning_rate": 9.313725490196079e-08,
23
+ "loss": 0.8378,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.029354207436399216,
28
+ "grad_norm": 171197.53125,
29
+ "learning_rate": 1.4215686274509803e-07,
30
+ "loss": 0.8388,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.03913894324853229,
35
+ "grad_norm": 206661.828125,
36
+ "learning_rate": 1.9117647058823527e-07,
37
+ "loss": 0.847,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.04892367906066536,
42
+ "grad_norm": 230268.96875,
43
+ "learning_rate": 2.4019607843137255e-07,
44
+ "loss": 0.8411,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.05870841487279843,
49
+ "grad_norm": 133248.28125,
50
+ "learning_rate": 2.8921568627450984e-07,
51
+ "loss": 0.8412,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.0684931506849315,
56
+ "grad_norm": 147768.828125,
57
+ "learning_rate": 3.3823529411764707e-07,
58
+ "loss": 0.8431,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.07827788649706457,
63
+ "grad_norm": 167327.53125,
64
+ "learning_rate": 3.872549019607843e-07,
65
+ "loss": 0.8431,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.08806262230919765,
70
+ "grad_norm": 151943.75,
71
+ "learning_rate": 4.3627450980392154e-07,
72
+ "loss": 0.8311,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.09784735812133072,
77
+ "grad_norm": 149971.59375,
78
+ "learning_rate": 4.852941176470588e-07,
79
+ "loss": 0.8412,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.10763209393346379,
84
+ "grad_norm": 162329.40625,
85
+ "learning_rate": 5.34313725490196e-07,
86
+ "loss": 0.8356,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.11741682974559686,
91
+ "grad_norm": 158769.765625,
92
+ "learning_rate": 5.833333333333334e-07,
93
+ "loss": 0.8351,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.12720156555772993,
98
+ "grad_norm": 157725.59375,
99
+ "learning_rate": 6.323529411764706e-07,
100
+ "loss": 0.8331,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.136986301369863,
105
+ "grad_norm": 205733.0,
106
+ "learning_rate": 6.813725490196079e-07,
107
+ "loss": 0.8366,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.14677103718199608,
112
+ "grad_norm": 172581.328125,
113
+ "learning_rate": 7.30392156862745e-07,
114
+ "loss": 0.831,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.15655577299412915,
119
+ "grad_norm": 137428.0,
120
+ "learning_rate": 7.794117647058823e-07,
121
+ "loss": 0.8326,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.16634050880626222,
126
+ "grad_norm": 151189.203125,
127
+ "learning_rate": 8.284313725490196e-07,
128
+ "loss": 0.8281,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.1761252446183953,
133
+ "grad_norm": 145620.625,
134
+ "learning_rate": 8.774509803921568e-07,
135
+ "loss": 0.8252,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.18590998043052837,
140
+ "grad_norm": 169938.84375,
141
+ "learning_rate": 9.264705882352941e-07,
142
+ "loss": 0.8308,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.19569471624266144,
147
+ "grad_norm": 138760.015625,
148
+ "learning_rate": 9.754901960784313e-07,
149
+ "loss": 0.824,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.2054794520547945,
154
+ "grad_norm": 107872.125,
155
+ "learning_rate": 9.99631294374483e-07,
156
+ "loss": 0.8254,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.21526418786692758,
161
+ "grad_norm": 113610.8359375,
162
+ "learning_rate": 9.966849112204936e-07,
163
+ "loss": 0.8267,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.22504892367906065,
168
+ "grad_norm": 172441.515625,
169
+ "learning_rate": 9.908095200725339e-07,
170
+ "loss": 0.8198,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.23483365949119372,
175
+ "grad_norm": 128079.9140625,
176
+ "learning_rate": 9.82039768787326e-07,
177
+ "loss": 0.8143,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.2446183953033268,
182
+ "grad_norm": 98149.8984375,
183
+ "learning_rate": 9.70427373595903e-07,
184
+ "loss": 0.8191,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.25440313111545987,
189
+ "grad_norm": 147377.4375,
190
+ "learning_rate": 9.560408141270531e-07,
191
+ "loss": 0.8178,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.26418786692759294,
196
+ "grad_norm": 156439.40625,
197
+ "learning_rate": 9.389649295750781e-07,
198
+ "loss": 0.8085,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.273972602739726,
203
+ "grad_norm": 131892.015625,
204
+ "learning_rate": 9.193004183933174e-07,
205
+ "loss": 0.8172,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.2837573385518591,
210
+ "grad_norm": 132474.5,
211
+ "learning_rate": 8.971632444637971e-07,
212
+ "loss": 0.8136,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.29354207436399216,
217
+ "grad_norm": 112619.109375,
218
+ "learning_rate": 8.726839532448928e-07,
219
+ "loss": 0.8065,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.30332681017612523,
224
+ "grad_norm": 94225.5703125,
225
+ "learning_rate": 8.460069019297606e-07,
226
+ "loss": 0.813,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.3131115459882583,
231
+ "grad_norm": 117812.8203125,
232
+ "learning_rate": 8.172894081553822e-07,
233
+ "loss": 0.8022,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.32289628180039137,
238
+ "grad_norm": 143287.125,
239
+ "learning_rate": 7.86700822282382e-07,
240
+ "loss": 0.8061,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.33268101761252444,
245
+ "grad_norm": 107456.25,
246
+ "learning_rate": 7.544215287164917e-07,
247
+ "loss": 0.8006,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.3424657534246575,
252
+ "grad_norm": 101521.171875,
253
+ "learning_rate": 7.206418821609812e-07,
254
+ "loss": 0.8055,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.3522504892367906,
259
+ "grad_norm": 118311.5234375,
260
+ "learning_rate": 6.855610850731017e-07,
261
+ "loss": 0.8081,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.36203522504892366,
266
+ "grad_norm": 89621.828125,
267
+ "learning_rate": 6.493860129443046e-07,
268
+ "loss": 0.8058,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.37181996086105673,
273
+ "grad_norm": 143168.65625,
274
+ "learning_rate": 6.123299943316975e-07,
275
+ "loss": 0.8028,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.3816046966731898,
280
+ "grad_norm": 118598.2890625,
281
+ "learning_rate": 5.746115528350295e-07,
282
+ "loss": 0.8032,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.3913894324853229,
287
+ "grad_norm": 111807.8203125,
288
+ "learning_rate": 5.364531184379139e-07,
289
+ "loss": 0.8014,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.40117416829745595,
294
+ "grad_norm": 124106.1328125,
295
+ "learning_rate": 4.980797158126566e-07,
296
+ "loss": 0.8045,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.410958904109589,
301
+ "grad_norm": 102746.4765625,
302
+ "learning_rate": 4.597176373239061e-07,
303
+ "loss": 0.7996,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.4207436399217221,
308
+ "grad_norm": 108317.5859375,
309
+ "learning_rate": 4.215931085565761e-07,
310
+ "loss": 0.8037,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.43052837573385516,
315
+ "grad_norm": 113342.515625,
316
+ "learning_rate": 3.8393095423757764e-07,
317
+ "loss": 0.8047,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.44031311154598823,
322
+ "grad_norm": 111908.90625,
323
+ "learning_rate": 3.469532724185699e-07,
324
+ "loss": 0.8021,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.4500978473581213,
329
+ "grad_norm": 85004.15625,
330
+ "learning_rate": 3.1087812473822845e-07,
331
+ "loss": 0.8012,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.4598825831702544,
336
+ "grad_norm": 98335.1796875,
337
+ "learning_rate": 2.7591825048770643e-07,
338
+ "loss": 0.7977,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.46966731898238745,
343
+ "grad_norm": 110674.03125,
344
+ "learning_rate": 2.422798120625886e-07,
345
+ "loss": 0.7979,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.4794520547945205,
350
+ "grad_norm": 114861.5390625,
351
+ "learning_rate": 2.1016117919955512e-07,
352
+ "loss": 0.8014,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.4892367906066536,
357
+ "grad_norm": 130109.5703125,
358
+ "learning_rate": 1.7975175916725031e-07,
359
+ "loss": 0.7994,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.49902152641878667,
364
+ "grad_norm": 93286.4296875,
365
+ "learning_rate": 1.5123087980985606e-07,
366
+ "loss": 0.8039,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.5088062622309197,
371
+ "grad_norm": 123646.703125,
372
+ "learning_rate": 1.2476673203018728e-07,
373
+ "loss": 0.7917,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.5185909980430529,
378
+ "grad_norm": 98060.2265625,
379
+ "learning_rate": 1.0051537794861287e-07,
380
+ "loss": 0.7945,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.5283757338551859,
385
+ "grad_norm": 91181.1796875,
386
+ "learning_rate": 7.861983058679871e-08,
387
+ "loss": 0.7952,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.538160469667319,
392
+ "grad_norm": 97605.3984375,
393
+ "learning_rate": 5.920921050348626e-08,
394
+ "loss": 0.7963,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.538160469667319,
399
+ "eval_accuracy": 0.767,
400
+ "eval_loss": 0.662277102470398,
401
+ "eval_macro_f1": 0.5341406895117674,
402
+ "eval_precision": 0.6105222734254993,
403
+ "eval_recall": 0.5415245482510056,
404
+ "eval_runtime": 16.9722,
405
+ "eval_samples_per_second": 58.92,
406
+ "eval_steps_per_second": 0.059,
407
+ "step": 550
408
+ },
409
+ {
410
+ "epoch": 0.547945205479452,
411
+ "grad_norm": 101627.8046875,
412
+ "learning_rate": 4.23979843557199e-08,
413
+ "loss": 0.7962,
414
+ "step": 560
415
+ },
416
+ {
417
+ "epoch": 0.5577299412915852,
418
+ "grad_norm": 73889.578125,
419
+ "learning_rate": 2.8285289875818407e-08,
420
+ "loss": 0.794,
421
+ "step": 570
422
+ },
423
+ {
424
+ "epoch": 0.5675146771037182,
425
+ "grad_norm": 87191.0546875,
426
+ "learning_rate": 1.695435124477512e-08,
427
+ "loss": 0.7984,
428
+ "step": 580
429
+ },
430
+ {
431
+ "epoch": 0.5772994129158513,
432
+ "grad_norm": 105470.234375,
433
+ "learning_rate": 8.471988309699807e-09,
434
+ "loss": 0.7924,
435
+ "step": 590
436
+ },
437
+ {
438
+ "epoch": 0.5870841487279843,
439
+ "grad_norm": 81710.7265625,
440
+ "learning_rate": 2.8882225395023275e-09,
441
+ "loss": 0.8005,
442
+ "step": 600
443
+ },
444
+ {
445
+ "epoch": 0.5870841487279843,
446
+ "eval_accuracy": 0.767,
447
+ "eval_loss": 0.6623347401618958,
448
+ "eval_macro_f1": 0.5341406895117674,
449
+ "eval_precision": 0.6105222734254993,
450
+ "eval_recall": 0.5415245482510056,
451
+ "eval_runtime": 17.0174,
452
+ "eval_samples_per_second": 58.763,
453
+ "eval_steps_per_second": 0.059,
454
+ "step": 600
455
+ },
456
+ {
457
+ "epoch": 0.5968688845401174,
458
+ "grad_norm": 97212.125,
459
+ "learning_rate": 2.35982042542604e-10,
460
+ "loss": 0.7981,
461
+ "step": 610
462
+ },
463
+ {
464
+ "epoch": 0.6066536203522505,
465
+ "grad_norm": 100700.640625,
466
+ "learning_rate": 9.994690926142082e-07,
467
+ "loss": 0.8006,
468
+ "step": 620
469
+ },
470
+ {
471
+ "epoch": 0.6164383561643836,
472
+ "grad_norm": 88023.046875,
473
+ "learning_rate": 9.962287406393883e-07,
474
+ "loss": 0.7976,
475
+ "step": 630
476
+ },
477
+ {
478
+ "epoch": 0.6262230919765166,
479
+ "grad_norm": 118936.609375,
480
+ "learning_rate": 9.900620707609317e-07,
481
+ "loss": 0.7961,
482
+ "step": 640
483
+ },
484
+ {
485
+ "epoch": 0.6360078277886497,
486
+ "grad_norm": 91811.3984375,
487
+ "learning_rate": 9.810054485397043e-07,
488
+ "loss": 0.7904,
489
+ "step": 650
490
+ },
491
+ {
492
+ "epoch": 0.6360078277886497,
493
+ "eval_accuracy": 0.757,
494
+ "eval_loss": 0.6629467606544495,
495
+ "eval_macro_f1": 0.5299579283330915,
496
+ "eval_precision": 0.5844492268452096,
497
+ "eval_recall": 0.5366881936388663,
498
+ "eval_runtime": 17.0504,
499
+ "eval_samples_per_second": 58.65,
500
+ "eval_steps_per_second": 0.059,
501
+ "step": 650
502
+ },
503
+ {
504
+ "epoch": 0.6457925636007827,
505
+ "grad_norm": 118632.46875,
506
+ "learning_rate": 9.69112281917613e-07,
507
+ "loss": 0.7927,
508
+ "step": 660
509
+ },
510
+ {
511
+ "epoch": 0.6555772994129159,
512
+ "grad_norm": 70413.0390625,
513
+ "learning_rate": 9.544527062648345e-07,
514
+ "loss": 0.785,
515
+ "step": 670
516
+ },
517
+ {
518
+ "epoch": 0.6653620352250489,
519
+ "grad_norm": 84746.4453125,
520
+ "learning_rate": 9.371131707834789e-07,
521
+ "loss": 0.7861,
522
+ "step": 680
523
+ },
524
+ {
525
+ "epoch": 0.675146771037182,
526
+ "grad_norm": 92019.0390625,
527
+ "learning_rate": 9.171959287067115e-07,
528
+ "loss": 0.7892,
529
+ "step": 690
530
+ },
531
+ {
532
+ "epoch": 0.684931506849315,
533
+ "grad_norm": 70649.2578125,
534
+ "learning_rate": 8.948184342996868e-07,
535
+ "loss": 0.789,
536
+ "step": 700
537
+ },
538
+ {
539
+ "epoch": 0.684931506849315,
540
+ "eval_accuracy": 0.751,
541
+ "eval_loss": 0.6648359894752502,
542
+ "eval_macro_f1": 0.5514410631387237,
543
+ "eval_precision": 0.589223697650664,
544
+ "eval_recall": 0.5504123598294002,
545
+ "eval_runtime": 17.0124,
546
+ "eval_samples_per_second": 58.781,
547
+ "eval_steps_per_second": 0.059,
548
+ "step": 700
549
+ },
550
+ {
551
+ "epoch": 0.6947162426614482,
552
+ "grad_norm": 80338.796875,
553
+ "learning_rate": 8.701126502182503e-07,
554
+ "loss": 0.7907,
555
+ "step": 710
556
+ },
557
+ {
558
+ "epoch": 0.7045009784735812,
559
+ "grad_norm": 69257.328125,
560
+ "learning_rate": 8.432242693099946e-07,
561
+ "loss": 0.7881,
562
+ "step": 720
563
+ },
564
+ {
565
+ "epoch": 0.7142857142857143,
566
+ "grad_norm": 95345.15625,
567
+ "learning_rate": 8.14311855446795e-07,
568
+ "loss": 0.7849,
569
+ "step": 730
570
+ },
571
+ {
572
+ "epoch": 0.7240704500978473,
573
+ "grad_norm": 94407.8984375,
574
+ "learning_rate": 7.835459084554374e-07,
575
+ "loss": 0.7868,
576
+ "step": 740
577
+ },
578
+ {
579
+ "epoch": 0.7338551859099804,
580
+ "grad_norm": 74418.0625,
581
+ "learning_rate": 7.511078586605484e-07,
582
+ "loss": 0.783,
583
+ "step": 750
584
+ },
585
+ {
586
+ "epoch": 0.7338551859099804,
587
+ "eval_accuracy": 0.742,
588
+ "eval_loss": 0.6660248637199402,
589
+ "eval_macro_f1": 0.5532467532467532,
590
+ "eval_precision": 0.579727791757989,
591
+ "eval_recall": 0.5510154613293626,
592
+ "eval_runtime": 16.9303,
593
+ "eval_samples_per_second": 59.066,
594
+ "eval_steps_per_second": 0.059,
595
+ "step": 750
596
+ },
597
+ {
598
+ "epoch": 0.7436399217221135,
599
+ "grad_norm": 95142.0546875,
600
+ "learning_rate": 7.171889969691225e-07,
601
+ "loss": 0.7861,
602
+ "step": 760
603
+ },
604
+ {
605
+ "epoch": 0.7534246575342466,
606
+ "grad_norm": 118907.203125,
607
+ "learning_rate": 6.819893468060643e-07,
608
+ "loss": 0.7878,
609
+ "step": 770
610
+ },
611
+ {
612
+ "epoch": 0.7632093933463796,
613
+ "grad_norm": 66268.78125,
614
+ "learning_rate": 6.457164845530662e-07,
615
+ "loss": 0.7859,
616
+ "step": 780
617
+ },
618
+ {
619
+ "epoch": 0.7729941291585127,
620
+ "grad_norm": 81464.265625,
621
+ "learning_rate": 6.085843154468354e-07,
622
+ "loss": 0.7819,
623
+ "step": 790
624
+ },
625
+ {
626
+ "epoch": 0.7827788649706457,
627
+ "grad_norm": 87098.984375,
628
+ "learning_rate": 5.708118121553318e-07,
629
+ "loss": 0.7801,
630
+ "step": 800
631
+ },
632
+ {
633
+ "epoch": 0.7827788649706457,
634
+ "eval_accuracy": 0.734,
635
+ "eval_loss": 0.667039155960083,
636
+ "eval_macro_f1": 0.5514001038862917,
637
+ "eval_precision": 0.5710358542434345,
638
+ "eval_recall": 0.5490647598270917,
639
+ "eval_runtime": 17.0236,
640
+ "eval_samples_per_second": 58.742,
641
+ "eval_steps_per_second": 0.059,
642
+ "step": 800
643
+ },
644
+ {
645
+ "epoch": 0.7925636007827789,
646
+ "grad_norm": 70466.7109375,
647
+ "learning_rate": 5.326217234707852e-07,
648
+ "loss": 0.7782,
649
+ "step": 810
650
+ },
651
+ {
652
+ "epoch": 0.8023483365949119,
653
+ "grad_norm": 78038.6015625,
654
+ "learning_rate": 4.942392607344717e-07,
655
+ "loss": 0.786,
656
+ "step": 820
657
+ },
658
+ {
659
+ "epoch": 0.812133072407045,
660
+ "grad_norm": 91227.28125,
661
+ "learning_rate": 4.558907697395553e-07,
662
+ "loss": 0.7781,
663
+ "step": 830
664
+ },
665
+ {
666
+ "epoch": 0.821917808219178,
667
+ "grad_norm": 85470.5625,
668
+ "learning_rate": 4.1780239594393807e-07,
669
+ "loss": 0.7806,
670
+ "step": 840
671
+ },
672
+ {
673
+ "epoch": 0.8317025440313112,
674
+ "grad_norm": 73229.96875,
675
+ "learning_rate": 3.8019875086450787e-07,
676
+ "loss": 0.7823,
677
+ "step": 850
678
+ },
679
+ {
680
+ "epoch": 0.8317025440313112,
681
+ "eval_accuracy": 0.725,
682
+ "eval_loss": 0.668379545211792,
683
+ "eval_macro_f1": 0.5541786430494829,
684
+ "eval_precision": 0.5667714002224962,
685
+ "eval_recall": 0.5512665131499213,
686
+ "eval_runtime": 16.9299,
687
+ "eval_samples_per_second": 59.067,
688
+ "eval_steps_per_second": 0.059,
689
+ "step": 850
690
+ },
691
+ {
692
+ "epoch": 0.8414872798434442,
693
+ "grad_norm": 84347.0546875,
694
+ "learning_rate": 3.4330158751721504e-07,
695
+ "loss": 0.7805,
696
+ "step": 860
697
+ },
698
+ {
699
+ "epoch": 0.8512720156555773,
700
+ "grad_norm": 60984.21875,
701
+ "learning_rate": 3.0732849271405547e-07,
702
+ "loss": 0.779,
703
+ "step": 870
704
+ },
705
+ {
706
+ "epoch": 0.8610567514677103,
707
+ "grad_norm": 72854.8046875,
708
+ "learning_rate": 2.7249160392863903e-07,
709
+ "loss": 0.7811,
710
+ "step": 880
711
+ },
712
+ {
713
+ "epoch": 0.8708414872798435,
714
+ "grad_norm": 69136.65625,
715
+ "learning_rate": 2.3899635829713077e-07,
716
+ "loss": 0.7811,
717
+ "step": 890
718
+ },
719
+ {
720
+ "epoch": 0.8806262230919765,
721
+ "grad_norm": 74345.7421875,
722
+ "learning_rate": 2.0704028113185306e-07,
723
+ "loss": 0.7845,
724
+ "step": 900
725
+ },
726
+ {
727
+ "epoch": 0.8806262230919765,
728
+ "eval_accuracy": 0.726,
729
+ "eval_loss": 0.6684988737106323,
730
+ "eval_macro_f1": 0.5584519389438943,
731
+ "eval_precision": 0.5706882639048261,
732
+ "eval_recall": 0.555107317439156,
733
+ "eval_runtime": 16.9904,
734
+ "eval_samples_per_second": 58.857,
735
+ "eval_steps_per_second": 0.059,
736
+ "step": 900
737
+ },
738
+ {
739
+ "epoch": 0.8904109589041096,
740
+ "grad_norm": 75862.8046875,
741
+ "learning_rate": 1.768118210918219e-07,
742
+ "loss": 0.7821,
743
+ "step": 910
744
+ },
745
+ {
746
+ "epoch": 0.9001956947162426,
747
+ "grad_norm": 60382.25,
748
+ "learning_rate": 1.484892388793511e-07,
749
+ "loss": 0.7811,
750
+ "step": 920
751
+ },
752
+ {
753
+ "epoch": 0.9099804305283757,
754
+ "grad_norm": 67346.859375,
755
+ "learning_rate": 1.2223955601620633e-07,
756
+ "loss": 0.781,
757
+ "step": 930
758
+ },
759
+ {
760
+ "epoch": 0.9197651663405088,
761
+ "grad_norm": 81895.7265625,
762
+ "learning_rate": 9.821756989850016e-08,
763
+ "loss": 0.7816,
764
+ "step": 940
765
+ },
766
+ {
767
+ "epoch": 0.9295499021526419,
768
+ "grad_norm": 87715.9453125,
769
+ "learning_rate": 7.656494093865984e-08,
770
+ "loss": 0.7815,
771
+ "step": 950
772
+ },
773
+ {
774
+ "epoch": 0.9295499021526419,
775
+ "eval_accuracy": 0.723,
776
+ "eval_loss": 0.6687072515487671,
777
+ "eval_macro_f1": 0.5562540149399822,
778
+ "eval_precision": 0.5672044579297467,
779
+ "eval_recall": 0.553176815508654,
780
+ "eval_runtime": 16.997,
781
+ "eval_samples_per_second": 58.834,
782
+ "eval_steps_per_second": 0.059,
783
+ "step": 950
784
+ },
785
+ {
786
+ "epoch": 0.9393346379647749,
787
+ "grad_norm": 62333.75390625,
788
+ "learning_rate": 5.740935717769707e-08,
789
+ "loss": 0.775,
790
+ "step": 960
791
+ },
792
+ {
793
+ "epoch": 0.949119373776908,
794
+ "grad_norm": 67404.265625,
795
+ "learning_rate": 4.0863781294158185e-08,
796
+ "loss": 0.78,
797
+ "step": 970
798
+ },
799
+ {
800
+ "epoch": 0.958904109589041,
801
+ "grad_norm": 75798.1328125,
802
+ "learning_rate": 2.702578445022852e-08,
803
+ "loss": 0.7808,
804
+ "step": 980
805
+ },
806
+ {
807
+ "epoch": 0.9686888454011742,
808
+ "grad_norm": 77483.9609375,
809
+ "learning_rate": 1.597697090337763e-08,
810
+ "loss": 0.7804,
811
+ "step": 990
812
+ },
813
+ {
814
+ "epoch": 0.9784735812133072,
815
+ "grad_norm": 82261.78125,
816
+ "learning_rate": 7.782496776675695e-09,
817
+ "loss": 0.7795,
818
+ "step": 1000
819
+ },
820
+ {
821
+ "epoch": 0.9784735812133072,
822
+ "eval_accuracy": 0.723,
823
+ "eval_loss": 0.6687466502189636,
824
+ "eval_macro_f1": 0.5579874225879597,
825
+ "eval_precision": 0.5685547947184422,
826
+ "eval_recall": 0.5547754673315212,
827
+ "eval_runtime": 16.934,
828
+ "eval_samples_per_second": 59.053,
829
+ "eval_steps_per_second": 0.059,
830
+ "step": 1000
831
+ },
832
+ {
833
+ "epoch": 0.9882583170254403,
834
+ "grad_norm": 68659.8671875,
835
+ "learning_rate": 2.4906858256491524e-09,
836
+ "loss": 0.78,
837
+ "step": 1010
838
+ },
839
+ {
840
+ "epoch": 0.9980430528375733,
841
+ "grad_norm": 92298.78125,
842
+ "learning_rate": 1.3274446754157898e-10,
843
+ "loss": 0.7824,
844
+ "step": 1020
845
+ }
846
+ ],
847
+ "logging_steps": 10,
848
+ "max_steps": 1022,
849
+ "num_input_tokens_seen": 0,
850
+ "num_train_epochs": 1,
851
+ "save_steps": 50,
852
+ "stateful_callbacks": {
853
+ "EarlyStoppingCallback": {
854
+ "args": {
855
+ "early_stopping_patience": 3,
856
+ "early_stopping_threshold": 0.0
857
+ },
858
+ "attributes": {
859
+ "early_stopping_patience_counter": 2
860
+ }
861
+ },
862
+ "TrainerControl": {
863
+ "args": {
864
+ "should_epoch_stop": false,
865
+ "should_evaluate": false,
866
+ "should_log": false,
867
+ "should_save": true,
868
+ "should_training_stop": true
869
+ },
870
+ "attributes": {}
871
+ }
872
+ },
873
+ "total_flos": 1.37620237506048e+17,
874
+ "train_batch_size": 512,
875
+ "trial_name": null,
876
+ "trial_params": null
877
+ }
graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a8307116b3e23cecae8ec65819b3c2e7993d8af193c50142730ae3c50bce70d6
3
+ size 5905
graphcodebert-base-lowLR-highBatchSize/checkpoint-1022/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
graphcodebert-base-lowLR-highBatchSize/checkpoint-850/config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "RobertaForSequenceClassification"
4
+ ],
5
+ "attention_probs_dropout_prob": 0.3,
6
+ "bos_token_id": 0,
7
+ "classifier_dropout": 0.3,
8
+ "dtype": "float32",
9
+ "eos_token_id": 2,
10
+ "gradient_checkpointing": false,
11
+ "hidden_act": "gelu",
12
+ "hidden_dropout_prob": 0.3,
13
+ "hidden_size": 768,
14
+ "initializer_range": 0.02,
15
+ "intermediate_size": 3072,
16
+ "layer_norm_eps": 1e-05,
17
+ "max_position_embeddings": 514,
18
+ "model_type": "roberta",
19
+ "num_attention_heads": 12,
20
+ "num_hidden_layers": 12,
21
+ "output_past": true,
22
+ "pad_token_id": 1,
23
+ "position_embedding_type": "absolute",
24
+ "problem_type": "single_label_classification",
25
+ "transformers_version": "4.56.0",
26
+ "type_vocab_size": 1,
27
+ "use_cache": true,
28
+ "vocab_size": 50265
29
+ }
graphcodebert-base-lowLR-highBatchSize/checkpoint-850/config_hyperparams.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "train_config": {
3
+ "model_name": "microsoft/graphcodebert-base",
4
+ "num_epochs": 1,
5
+ "batch_size": 256,
6
+ "learning_rate": 1e-06,
7
+ "max_length": 512,
8
+ "num_labels": 2,
9
+ "loss_type": "r-drop",
10
+ "focal_alpha": 1.0,
11
+ "focal_gamma": 2.0,
12
+ "r_drop_alpha": 10.0,
13
+ "infonce_temperature": 0.07,
14
+ "infonce_weight": 0.5,
15
+ "label_smoothing": 0.5,
16
+ "adversarial_epsilon": 0.5,
17
+ "use_swa": false,
18
+ "swa_start_epoch": 0,
19
+ "swa_lr": 1e-05,
20
+ "data_augmentation": true,
21
+ "aug_rename_prob": 0.8,
22
+ "aug_format_prob": 0.8,
23
+ "freeze_base": true,
24
+ "seed": 42,
25
+ "use_wandb": true,
26
+ "mixup_alpha": 1.0,
27
+ "low_pass_keep_ratio": 0.5,
28
+ "freq_consistency_weight": 0.5
29
+ },
30
+ "training_arguments": {
31
+ "output_dir": "output_checkpoints/graphcodebert-base-lowLR-highBatchSize/",
32
+ "num_train_epochs": 1,
33
+ "per_device_train_batch_size": 256,
34
+ "per_device_eval_batch_size": 512,
35
+ "learning_rate": 1e-06,
36
+ "warmup_steps": 204,
37
+ "weight_decay": 0.1,
38
+ "logging_steps": 10,
39
+ "eval_steps": 50,
40
+ "save_steps": 50,
41
+ "metric_for_best_model": "macro_f1",
42
+ "greater_is_better": true,
43
+ "save_total_limit": 5,
44
+ "fp16": true,
45
+ "seed": 42
46
+ },
47
+ "training_state": {
48
+ "global_step": 850,
49
+ "epoch": 0.8317025440313112,
50
+ "best_metric": 0.5541786430494829,
51
+ "best_model_checkpoint": "output_checkpoints/graphcodebert-base-lowLR-highBatchSize/checkpoint-850"
52
+ }
53
+ }
graphcodebert-base-lowLR-highBatchSize/checkpoint-850/hyperparams.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "model_name": "microsoft/graphcodebert-base",
3
+ "output_dir": "output_checkpoints/graphcodebert-base-lowLR-highBatchSize/",
4
+ "num_epochs": 1,
5
+ "max_steps": -1,
6
+ "batch_size": 256,
7
+ "learning_rate": 1e-06,
8
+ "max_length": 512,
9
+ "num_labels": 2,
10
+ "use_wandb": true,
11
+ "freeze_base": true,
12
+ "loss_type": "r-drop",
13
+ "focal_alpha": 1.0,
14
+ "focal_gamma": 2.0,
15
+ "r_drop_alpha": 10.0,
16
+ "infonce_temperature": 0.07,
17
+ "infonce_weight": 0.5,
18
+ "seed": 42,
19
+ "resume_from_checkpoint": "checkpoints/graphcodebert-base-lowLR-highBatchSize/checkpoint-500",
20
+ "label_smoothing": 0.5,
21
+ "adversarial_epsilon": 0.5,
22
+ "use_swa": false,
23
+ "swa_start_epoch": 0,
24
+ "swa_lr": 1e-05,
25
+ "data_augmentation": true,
26
+ "aug_rename_prob": 0.8,
27
+ "aug_format_prob": 0.8,
28
+ "mixup_alpha": 1.0,
29
+ "low_pass_keep_ratio": 0.5,
30
+ "freq_consistency_weight": 0.5,
31
+ "hidden_dropout_prob": 0.3,
32
+ "attention_probs_dropout_prob": 0.3,
33
+ "classifier_dropout": 0.3,
34
+ "device": "cuda"
35
+ }
graphcodebert-base-lowLR-highBatchSize/checkpoint-850/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
graphcodebert-base-lowLR-highBatchSize/checkpoint-850/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:23fc0a49f14d9c3ac275c51cb0281f89df63a96f1370307127916a3c1975b161
3
+ size 498612824
graphcodebert-base-lowLR-highBatchSize/checkpoint-850/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a7f1c9b52df0b678bf75a4d7b875905960def809f53de2d9da13098a62b5482d
3
+ size 4741859
graphcodebert-base-lowLR-highBatchSize/checkpoint-850/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:89f0f406618b5197fae4c6d900acbd98b2b79bf347c744c857d3d77432494a61
3
+ size 14645
graphcodebert-base-lowLR-highBatchSize/checkpoint-850/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b21c5349d5e7d02de630ebc1cb53ade1d9c6079eeb8594d223bb786011a0428b
3
+ size 1383
graphcodebert-base-lowLR-highBatchSize/checkpoint-850/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e3d9e58740bbb7712ef6b1d4dee40c5511fac2847366fd6784a1b91ec00f9680
3
+ size 1465
graphcodebert-base-lowLR-highBatchSize/checkpoint-850/special_tokens_map.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": true,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "cls_token": {
10
+ "content": "<s>",
11
+ "lstrip": false,
12
+ "normalized": true,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "eos_token": {
17
+ "content": "</s>",
18
+ "lstrip": false,
19
+ "normalized": true,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "mask_token": {
24
+ "content": "<mask>",
25
+ "lstrip": true,
26
+ "normalized": true,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ "pad_token": {
31
+ "content": "<pad>",
32
+ "lstrip": false,
33
+ "normalized": true,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ },
37
+ "sep_token": {
38
+ "content": "</s>",
39
+ "lstrip": false,
40
+ "normalized": true,
41
+ "rstrip": false,
42
+ "single_word": false
43
+ },
44
+ "unk_token": {
45
+ "content": "<unk>",
46
+ "lstrip": false,
47
+ "normalized": true,
48
+ "rstrip": false,
49
+ "single_word": false
50
+ }
51
+ }
graphcodebert-base-lowLR-highBatchSize/checkpoint-850/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
graphcodebert-base-lowLR-highBatchSize/checkpoint-850/tokenizer_config.json ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "0": {
5
+ "content": "<s>",
6
+ "lstrip": false,
7
+ "normalized": true,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "1": {
13
+ "content": "<pad>",
14
+ "lstrip": false,
15
+ "normalized": true,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "2": {
21
+ "content": "</s>",
22
+ "lstrip": false,
23
+ "normalized": true,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "3": {
29
+ "content": "<unk>",
30
+ "lstrip": false,
31
+ "normalized": true,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "50264": {
37
+ "content": "<mask>",
38
+ "lstrip": true,
39
+ "normalized": true,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ }
44
+ },
45
+ "bos_token": "<s>",
46
+ "clean_up_tokenization_spaces": false,
47
+ "cls_token": "<s>",
48
+ "eos_token": "</s>",
49
+ "errors": "replace",
50
+ "extra_special_tokens": {},
51
+ "mask_token": "<mask>",
52
+ "model_max_length": 512,
53
+ "pad_token": "<pad>",
54
+ "sep_token": "</s>",
55
+ "tokenizer_class": "RobertaTokenizer",
56
+ "trim_offsets": true,
57
+ "unk_token": "<unk>"
58
+ }
graphcodebert-base-lowLR-highBatchSize/checkpoint-850/trainer_state.json ADDED
@@ -0,0 +1,722 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": 850,
3
+ "best_metric": 0.5541786430494829,
4
+ "best_model_checkpoint": "output_checkpoints/graphcodebert-base-lowLR-highBatchSize/checkpoint-850",
5
+ "epoch": 0.8317025440313112,
6
+ "eval_steps": 50,
7
+ "global_step": 850,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.009784735812133072,
14
+ "grad_norm": 165951.1875,
15
+ "learning_rate": 4.411764705882353e-08,
16
+ "loss": 0.8416,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.019569471624266144,
21
+ "grad_norm": 206132.796875,
22
+ "learning_rate": 9.313725490196079e-08,
23
+ "loss": 0.8378,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.029354207436399216,
28
+ "grad_norm": 171197.53125,
29
+ "learning_rate": 1.4215686274509803e-07,
30
+ "loss": 0.8388,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.03913894324853229,
35
+ "grad_norm": 206661.828125,
36
+ "learning_rate": 1.9117647058823527e-07,
37
+ "loss": 0.847,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.04892367906066536,
42
+ "grad_norm": 230268.96875,
43
+ "learning_rate": 2.4019607843137255e-07,
44
+ "loss": 0.8411,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.05870841487279843,
49
+ "grad_norm": 133248.28125,
50
+ "learning_rate": 2.8921568627450984e-07,
51
+ "loss": 0.8412,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.0684931506849315,
56
+ "grad_norm": 147768.828125,
57
+ "learning_rate": 3.3823529411764707e-07,
58
+ "loss": 0.8431,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.07827788649706457,
63
+ "grad_norm": 167327.53125,
64
+ "learning_rate": 3.872549019607843e-07,
65
+ "loss": 0.8431,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.08806262230919765,
70
+ "grad_norm": 151943.75,
71
+ "learning_rate": 4.3627450980392154e-07,
72
+ "loss": 0.8311,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.09784735812133072,
77
+ "grad_norm": 149971.59375,
78
+ "learning_rate": 4.852941176470588e-07,
79
+ "loss": 0.8412,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.10763209393346379,
84
+ "grad_norm": 162329.40625,
85
+ "learning_rate": 5.34313725490196e-07,
86
+ "loss": 0.8356,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.11741682974559686,
91
+ "grad_norm": 158769.765625,
92
+ "learning_rate": 5.833333333333334e-07,
93
+ "loss": 0.8351,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.12720156555772993,
98
+ "grad_norm": 157725.59375,
99
+ "learning_rate": 6.323529411764706e-07,
100
+ "loss": 0.8331,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.136986301369863,
105
+ "grad_norm": 205733.0,
106
+ "learning_rate": 6.813725490196079e-07,
107
+ "loss": 0.8366,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.14677103718199608,
112
+ "grad_norm": 172581.328125,
113
+ "learning_rate": 7.30392156862745e-07,
114
+ "loss": 0.831,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.15655577299412915,
119
+ "grad_norm": 137428.0,
120
+ "learning_rate": 7.794117647058823e-07,
121
+ "loss": 0.8326,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.16634050880626222,
126
+ "grad_norm": 151189.203125,
127
+ "learning_rate": 8.284313725490196e-07,
128
+ "loss": 0.8281,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.1761252446183953,
133
+ "grad_norm": 145620.625,
134
+ "learning_rate": 8.774509803921568e-07,
135
+ "loss": 0.8252,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.18590998043052837,
140
+ "grad_norm": 169938.84375,
141
+ "learning_rate": 9.264705882352941e-07,
142
+ "loss": 0.8308,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.19569471624266144,
147
+ "grad_norm": 138760.015625,
148
+ "learning_rate": 9.754901960784313e-07,
149
+ "loss": 0.824,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.2054794520547945,
154
+ "grad_norm": 107872.125,
155
+ "learning_rate": 9.99631294374483e-07,
156
+ "loss": 0.8254,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.21526418786692758,
161
+ "grad_norm": 113610.8359375,
162
+ "learning_rate": 9.966849112204936e-07,
163
+ "loss": 0.8267,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.22504892367906065,
168
+ "grad_norm": 172441.515625,
169
+ "learning_rate": 9.908095200725339e-07,
170
+ "loss": 0.8198,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.23483365949119372,
175
+ "grad_norm": 128079.9140625,
176
+ "learning_rate": 9.82039768787326e-07,
177
+ "loss": 0.8143,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.2446183953033268,
182
+ "grad_norm": 98149.8984375,
183
+ "learning_rate": 9.70427373595903e-07,
184
+ "loss": 0.8191,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.25440313111545987,
189
+ "grad_norm": 147377.4375,
190
+ "learning_rate": 9.560408141270531e-07,
191
+ "loss": 0.8178,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.26418786692759294,
196
+ "grad_norm": 156439.40625,
197
+ "learning_rate": 9.389649295750781e-07,
198
+ "loss": 0.8085,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.273972602739726,
203
+ "grad_norm": 131892.015625,
204
+ "learning_rate": 9.193004183933174e-07,
205
+ "loss": 0.8172,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.2837573385518591,
210
+ "grad_norm": 132474.5,
211
+ "learning_rate": 8.971632444637971e-07,
212
+ "loss": 0.8136,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.29354207436399216,
217
+ "grad_norm": 112619.109375,
218
+ "learning_rate": 8.726839532448928e-07,
219
+ "loss": 0.8065,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.30332681017612523,
224
+ "grad_norm": 94225.5703125,
225
+ "learning_rate": 8.460069019297606e-07,
226
+ "loss": 0.813,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.3131115459882583,
231
+ "grad_norm": 117812.8203125,
232
+ "learning_rate": 8.172894081553822e-07,
233
+ "loss": 0.8022,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.32289628180039137,
238
+ "grad_norm": 143287.125,
239
+ "learning_rate": 7.86700822282382e-07,
240
+ "loss": 0.8061,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.33268101761252444,
245
+ "grad_norm": 107456.25,
246
+ "learning_rate": 7.544215287164917e-07,
247
+ "loss": 0.8006,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.3424657534246575,
252
+ "grad_norm": 101521.171875,
253
+ "learning_rate": 7.206418821609812e-07,
254
+ "loss": 0.8055,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.3522504892367906,
259
+ "grad_norm": 118311.5234375,
260
+ "learning_rate": 6.855610850731017e-07,
261
+ "loss": 0.8081,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.36203522504892366,
266
+ "grad_norm": 89621.828125,
267
+ "learning_rate": 6.493860129443046e-07,
268
+ "loss": 0.8058,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.37181996086105673,
273
+ "grad_norm": 143168.65625,
274
+ "learning_rate": 6.123299943316975e-07,
275
+ "loss": 0.8028,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.3816046966731898,
280
+ "grad_norm": 118598.2890625,
281
+ "learning_rate": 5.746115528350295e-07,
282
+ "loss": 0.8032,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.3913894324853229,
287
+ "grad_norm": 111807.8203125,
288
+ "learning_rate": 5.364531184379139e-07,
289
+ "loss": 0.8014,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.40117416829745595,
294
+ "grad_norm": 124106.1328125,
295
+ "learning_rate": 4.980797158126566e-07,
296
+ "loss": 0.8045,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.410958904109589,
301
+ "grad_norm": 102746.4765625,
302
+ "learning_rate": 4.597176373239061e-07,
303
+ "loss": 0.7996,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.4207436399217221,
308
+ "grad_norm": 108317.5859375,
309
+ "learning_rate": 4.215931085565761e-07,
310
+ "loss": 0.8037,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.43052837573385516,
315
+ "grad_norm": 113342.515625,
316
+ "learning_rate": 3.8393095423757764e-07,
317
+ "loss": 0.8047,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.44031311154598823,
322
+ "grad_norm": 111908.90625,
323
+ "learning_rate": 3.469532724185699e-07,
324
+ "loss": 0.8021,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.4500978473581213,
329
+ "grad_norm": 85004.15625,
330
+ "learning_rate": 3.1087812473822845e-07,
331
+ "loss": 0.8012,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.4598825831702544,
336
+ "grad_norm": 98335.1796875,
337
+ "learning_rate": 2.7591825048770643e-07,
338
+ "loss": 0.7977,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.46966731898238745,
343
+ "grad_norm": 110674.03125,
344
+ "learning_rate": 2.422798120625886e-07,
345
+ "loss": 0.7979,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.4794520547945205,
350
+ "grad_norm": 114861.5390625,
351
+ "learning_rate": 2.1016117919955512e-07,
352
+ "loss": 0.8014,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.4892367906066536,
357
+ "grad_norm": 130109.5703125,
358
+ "learning_rate": 1.7975175916725031e-07,
359
+ "loss": 0.7994,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.49902152641878667,
364
+ "grad_norm": 93286.4296875,
365
+ "learning_rate": 1.5123087980985606e-07,
366
+ "loss": 0.8039,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.5088062622309197,
371
+ "grad_norm": 123646.703125,
372
+ "learning_rate": 1.2476673203018728e-07,
373
+ "loss": 0.7917,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.5185909980430529,
378
+ "grad_norm": 98060.2265625,
379
+ "learning_rate": 1.0051537794861287e-07,
380
+ "loss": 0.7945,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.5283757338551859,
385
+ "grad_norm": 91181.1796875,
386
+ "learning_rate": 7.861983058679871e-08,
387
+ "loss": 0.7952,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.538160469667319,
392
+ "grad_norm": 97605.3984375,
393
+ "learning_rate": 5.920921050348626e-08,
394
+ "loss": 0.7963,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.538160469667319,
399
+ "eval_accuracy": 0.767,
400
+ "eval_loss": 0.662277102470398,
401
+ "eval_macro_f1": 0.5341406895117674,
402
+ "eval_precision": 0.6105222734254993,
403
+ "eval_recall": 0.5415245482510056,
404
+ "eval_runtime": 16.9722,
405
+ "eval_samples_per_second": 58.92,
406
+ "eval_steps_per_second": 0.059,
407
+ "step": 550
408
+ },
409
+ {
410
+ "epoch": 0.547945205479452,
411
+ "grad_norm": 101627.8046875,
412
+ "learning_rate": 4.23979843557199e-08,
413
+ "loss": 0.7962,
414
+ "step": 560
415
+ },
416
+ {
417
+ "epoch": 0.5577299412915852,
418
+ "grad_norm": 73889.578125,
419
+ "learning_rate": 2.8285289875818407e-08,
420
+ "loss": 0.794,
421
+ "step": 570
422
+ },
423
+ {
424
+ "epoch": 0.5675146771037182,
425
+ "grad_norm": 87191.0546875,
426
+ "learning_rate": 1.695435124477512e-08,
427
+ "loss": 0.7984,
428
+ "step": 580
429
+ },
430
+ {
431
+ "epoch": 0.5772994129158513,
432
+ "grad_norm": 105470.234375,
433
+ "learning_rate": 8.471988309699807e-09,
434
+ "loss": 0.7924,
435
+ "step": 590
436
+ },
437
+ {
438
+ "epoch": 0.5870841487279843,
439
+ "grad_norm": 81710.7265625,
440
+ "learning_rate": 2.8882225395023275e-09,
441
+ "loss": 0.8005,
442
+ "step": 600
443
+ },
444
+ {
445
+ "epoch": 0.5870841487279843,
446
+ "eval_accuracy": 0.767,
447
+ "eval_loss": 0.6623347401618958,
448
+ "eval_macro_f1": 0.5341406895117674,
449
+ "eval_precision": 0.6105222734254993,
450
+ "eval_recall": 0.5415245482510056,
451
+ "eval_runtime": 17.0174,
452
+ "eval_samples_per_second": 58.763,
453
+ "eval_steps_per_second": 0.059,
454
+ "step": 600
455
+ },
456
+ {
457
+ "epoch": 0.5968688845401174,
458
+ "grad_norm": 97212.125,
459
+ "learning_rate": 2.35982042542604e-10,
460
+ "loss": 0.7981,
461
+ "step": 610
462
+ },
463
+ {
464
+ "epoch": 0.6066536203522505,
465
+ "grad_norm": 100700.640625,
466
+ "learning_rate": 9.994690926142082e-07,
467
+ "loss": 0.8006,
468
+ "step": 620
469
+ },
470
+ {
471
+ "epoch": 0.6164383561643836,
472
+ "grad_norm": 88023.046875,
473
+ "learning_rate": 9.962287406393883e-07,
474
+ "loss": 0.7976,
475
+ "step": 630
476
+ },
477
+ {
478
+ "epoch": 0.6262230919765166,
479
+ "grad_norm": 118936.609375,
480
+ "learning_rate": 9.900620707609317e-07,
481
+ "loss": 0.7961,
482
+ "step": 640
483
+ },
484
+ {
485
+ "epoch": 0.6360078277886497,
486
+ "grad_norm": 91811.3984375,
487
+ "learning_rate": 9.810054485397043e-07,
488
+ "loss": 0.7904,
489
+ "step": 650
490
+ },
491
+ {
492
+ "epoch": 0.6360078277886497,
493
+ "eval_accuracy": 0.757,
494
+ "eval_loss": 0.6629467606544495,
495
+ "eval_macro_f1": 0.5299579283330915,
496
+ "eval_precision": 0.5844492268452096,
497
+ "eval_recall": 0.5366881936388663,
498
+ "eval_runtime": 17.0504,
499
+ "eval_samples_per_second": 58.65,
500
+ "eval_steps_per_second": 0.059,
501
+ "step": 650
502
+ },
503
+ {
504
+ "epoch": 0.6457925636007827,
505
+ "grad_norm": 118632.46875,
506
+ "learning_rate": 9.69112281917613e-07,
507
+ "loss": 0.7927,
508
+ "step": 660
509
+ },
510
+ {
511
+ "epoch": 0.6555772994129159,
512
+ "grad_norm": 70413.0390625,
513
+ "learning_rate": 9.544527062648345e-07,
514
+ "loss": 0.785,
515
+ "step": 670
516
+ },
517
+ {
518
+ "epoch": 0.6653620352250489,
519
+ "grad_norm": 84746.4453125,
520
+ "learning_rate": 9.371131707834789e-07,
521
+ "loss": 0.7861,
522
+ "step": 680
523
+ },
524
+ {
525
+ "epoch": 0.675146771037182,
526
+ "grad_norm": 92019.0390625,
527
+ "learning_rate": 9.171959287067115e-07,
528
+ "loss": 0.7892,
529
+ "step": 690
530
+ },
531
+ {
532
+ "epoch": 0.684931506849315,
533
+ "grad_norm": 70649.2578125,
534
+ "learning_rate": 8.948184342996868e-07,
535
+ "loss": 0.789,
536
+ "step": 700
537
+ },
538
+ {
539
+ "epoch": 0.684931506849315,
540
+ "eval_accuracy": 0.751,
541
+ "eval_loss": 0.6648359894752502,
542
+ "eval_macro_f1": 0.5514410631387237,
543
+ "eval_precision": 0.589223697650664,
544
+ "eval_recall": 0.5504123598294002,
545
+ "eval_runtime": 17.0124,
546
+ "eval_samples_per_second": 58.781,
547
+ "eval_steps_per_second": 0.059,
548
+ "step": 700
549
+ },
550
+ {
551
+ "epoch": 0.6947162426614482,
552
+ "grad_norm": 80338.796875,
553
+ "learning_rate": 8.701126502182503e-07,
554
+ "loss": 0.7907,
555
+ "step": 710
556
+ },
557
+ {
558
+ "epoch": 0.7045009784735812,
559
+ "grad_norm": 69257.328125,
560
+ "learning_rate": 8.432242693099946e-07,
561
+ "loss": 0.7881,
562
+ "step": 720
563
+ },
564
+ {
565
+ "epoch": 0.7142857142857143,
566
+ "grad_norm": 95345.15625,
567
+ "learning_rate": 8.14311855446795e-07,
568
+ "loss": 0.7849,
569
+ "step": 730
570
+ },
571
+ {
572
+ "epoch": 0.7240704500978473,
573
+ "grad_norm": 94407.8984375,
574
+ "learning_rate": 7.835459084554374e-07,
575
+ "loss": 0.7868,
576
+ "step": 740
577
+ },
578
+ {
579
+ "epoch": 0.7338551859099804,
580
+ "grad_norm": 74418.0625,
581
+ "learning_rate": 7.511078586605484e-07,
582
+ "loss": 0.783,
583
+ "step": 750
584
+ },
585
+ {
586
+ "epoch": 0.7338551859099804,
587
+ "eval_accuracy": 0.742,
588
+ "eval_loss": 0.6660248637199402,
589
+ "eval_macro_f1": 0.5532467532467532,
590
+ "eval_precision": 0.579727791757989,
591
+ "eval_recall": 0.5510154613293626,
592
+ "eval_runtime": 16.9303,
593
+ "eval_samples_per_second": 59.066,
594
+ "eval_steps_per_second": 0.059,
595
+ "step": 750
596
+ },
597
+ {
598
+ "epoch": 0.7436399217221135,
599
+ "grad_norm": 95142.0546875,
600
+ "learning_rate": 7.171889969691225e-07,
601
+ "loss": 0.7861,
602
+ "step": 760
603
+ },
604
+ {
605
+ "epoch": 0.7534246575342466,
606
+ "grad_norm": 118907.203125,
607
+ "learning_rate": 6.819893468060643e-07,
608
+ "loss": 0.7878,
609
+ "step": 770
610
+ },
611
+ {
612
+ "epoch": 0.7632093933463796,
613
+ "grad_norm": 66268.78125,
614
+ "learning_rate": 6.457164845530662e-07,
615
+ "loss": 0.7859,
616
+ "step": 780
617
+ },
618
+ {
619
+ "epoch": 0.7729941291585127,
620
+ "grad_norm": 81464.265625,
621
+ "learning_rate": 6.085843154468354e-07,
622
+ "loss": 0.7819,
623
+ "step": 790
624
+ },
625
+ {
626
+ "epoch": 0.7827788649706457,
627
+ "grad_norm": 87098.984375,
628
+ "learning_rate": 5.708118121553318e-07,
629
+ "loss": 0.7801,
630
+ "step": 800
631
+ },
632
+ {
633
+ "epoch": 0.7827788649706457,
634
+ "eval_accuracy": 0.734,
635
+ "eval_loss": 0.667039155960083,
636
+ "eval_macro_f1": 0.5514001038862917,
637
+ "eval_precision": 0.5710358542434345,
638
+ "eval_recall": 0.5490647598270917,
639
+ "eval_runtime": 17.0236,
640
+ "eval_samples_per_second": 58.742,
641
+ "eval_steps_per_second": 0.059,
642
+ "step": 800
643
+ },
644
+ {
645
+ "epoch": 0.7925636007827789,
646
+ "grad_norm": 70466.7109375,
647
+ "learning_rate": 5.326217234707852e-07,
648
+ "loss": 0.7782,
649
+ "step": 810
650
+ },
651
+ {
652
+ "epoch": 0.8023483365949119,
653
+ "grad_norm": 78038.6015625,
654
+ "learning_rate": 4.942392607344717e-07,
655
+ "loss": 0.786,
656
+ "step": 820
657
+ },
658
+ {
659
+ "epoch": 0.812133072407045,
660
+ "grad_norm": 91227.28125,
661
+ "learning_rate": 4.558907697395553e-07,
662
+ "loss": 0.7781,
663
+ "step": 830
664
+ },
665
+ {
666
+ "epoch": 0.821917808219178,
667
+ "grad_norm": 85470.5625,
668
+ "learning_rate": 4.1780239594393807e-07,
669
+ "loss": 0.7806,
670
+ "step": 840
671
+ },
672
+ {
673
+ "epoch": 0.8317025440313112,
674
+ "grad_norm": 73229.96875,
675
+ "learning_rate": 3.8019875086450787e-07,
676
+ "loss": 0.7823,
677
+ "step": 850
678
+ },
679
+ {
680
+ "epoch": 0.8317025440313112,
681
+ "eval_accuracy": 0.725,
682
+ "eval_loss": 0.668379545211792,
683
+ "eval_macro_f1": 0.5541786430494829,
684
+ "eval_precision": 0.5667714002224962,
685
+ "eval_recall": 0.5512665131499213,
686
+ "eval_runtime": 16.9299,
687
+ "eval_samples_per_second": 59.067,
688
+ "eval_steps_per_second": 0.059,
689
+ "step": 850
690
+ }
691
+ ],
692
+ "logging_steps": 10,
693
+ "max_steps": 1022,
694
+ "num_input_tokens_seen": 0,
695
+ "num_train_epochs": 1,
696
+ "save_steps": 50,
697
+ "stateful_callbacks": {
698
+ "EarlyStoppingCallback": {
699
+ "args": {
700
+ "early_stopping_patience": 3,
701
+ "early_stopping_threshold": 0.0
702
+ },
703
+ "attributes": {
704
+ "early_stopping_patience_counter": 0
705
+ }
706
+ },
707
+ "TrainerControl": {
708
+ "args": {
709
+ "should_epoch_stop": false,
710
+ "should_evaluate": false,
711
+ "should_log": false,
712
+ "should_save": true,
713
+ "should_training_stop": false
714
+ },
715
+ "attributes": {}
716
+ }
717
+ },
718
+ "total_flos": 1.14505931292672e+17,
719
+ "train_batch_size": 512,
720
+ "trial_name": null,
721
+ "trial_params": null
722
+ }
graphcodebert-base-lowLR-highBatchSize/checkpoint-850/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a8307116b3e23cecae8ec65819b3c2e7993d8af193c50142730ae3c50bce70d6
3
+ size 5905
graphcodebert-base-lowLR-highBatchSize/checkpoint-850/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
graphcodebert-base-lowLR-highBatchSize/checkpoint-900/config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "RobertaForSequenceClassification"
4
+ ],
5
+ "attention_probs_dropout_prob": 0.3,
6
+ "bos_token_id": 0,
7
+ "classifier_dropout": 0.3,
8
+ "dtype": "float32",
9
+ "eos_token_id": 2,
10
+ "gradient_checkpointing": false,
11
+ "hidden_act": "gelu",
12
+ "hidden_dropout_prob": 0.3,
13
+ "hidden_size": 768,
14
+ "initializer_range": 0.02,
15
+ "intermediate_size": 3072,
16
+ "layer_norm_eps": 1e-05,
17
+ "max_position_embeddings": 514,
18
+ "model_type": "roberta",
19
+ "num_attention_heads": 12,
20
+ "num_hidden_layers": 12,
21
+ "output_past": true,
22
+ "pad_token_id": 1,
23
+ "position_embedding_type": "absolute",
24
+ "problem_type": "single_label_classification",
25
+ "transformers_version": "4.56.0",
26
+ "type_vocab_size": 1,
27
+ "use_cache": true,
28
+ "vocab_size": 50265
29
+ }
graphcodebert-base-lowLR-highBatchSize/checkpoint-900/config_hyperparams.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "train_config": {
3
+ "model_name": "microsoft/graphcodebert-base",
4
+ "num_epochs": 1,
5
+ "batch_size": 256,
6
+ "learning_rate": 1e-06,
7
+ "max_length": 512,
8
+ "num_labels": 2,
9
+ "loss_type": "r-drop",
10
+ "focal_alpha": 1.0,
11
+ "focal_gamma": 2.0,
12
+ "r_drop_alpha": 10.0,
13
+ "infonce_temperature": 0.07,
14
+ "infonce_weight": 0.5,
15
+ "label_smoothing": 0.5,
16
+ "adversarial_epsilon": 0.5,
17
+ "use_swa": false,
18
+ "swa_start_epoch": 0,
19
+ "swa_lr": 1e-05,
20
+ "data_augmentation": true,
21
+ "aug_rename_prob": 0.8,
22
+ "aug_format_prob": 0.8,
23
+ "freeze_base": true,
24
+ "seed": 42,
25
+ "use_wandb": true,
26
+ "mixup_alpha": 1.0,
27
+ "low_pass_keep_ratio": 0.5,
28
+ "freq_consistency_weight": 0.5
29
+ },
30
+ "training_arguments": {
31
+ "output_dir": "output_checkpoints/graphcodebert-base-lowLR-highBatchSize/",
32
+ "num_train_epochs": 1,
33
+ "per_device_train_batch_size": 256,
34
+ "per_device_eval_batch_size": 512,
35
+ "learning_rate": 1e-06,
36
+ "warmup_steps": 204,
37
+ "weight_decay": 0.1,
38
+ "logging_steps": 10,
39
+ "eval_steps": 50,
40
+ "save_steps": 50,
41
+ "metric_for_best_model": "macro_f1",
42
+ "greater_is_better": true,
43
+ "save_total_limit": 5,
44
+ "fp16": true,
45
+ "seed": 42
46
+ },
47
+ "training_state": {
48
+ "global_step": 900,
49
+ "epoch": 0.8806262230919765,
50
+ "best_metric": 0.5584519389438943,
51
+ "best_model_checkpoint": "output_checkpoints/graphcodebert-base-lowLR-highBatchSize/checkpoint-900"
52
+ }
53
+ }
graphcodebert-base-lowLR-highBatchSize/checkpoint-900/hyperparams.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "model_name": "microsoft/graphcodebert-base",
3
+ "output_dir": "output_checkpoints/graphcodebert-base-lowLR-highBatchSize/",
4
+ "num_epochs": 1,
5
+ "max_steps": -1,
6
+ "batch_size": 256,
7
+ "learning_rate": 1e-06,
8
+ "max_length": 512,
9
+ "num_labels": 2,
10
+ "use_wandb": true,
11
+ "freeze_base": true,
12
+ "loss_type": "r-drop",
13
+ "focal_alpha": 1.0,
14
+ "focal_gamma": 2.0,
15
+ "r_drop_alpha": 10.0,
16
+ "infonce_temperature": 0.07,
17
+ "infonce_weight": 0.5,
18
+ "seed": 42,
19
+ "resume_from_checkpoint": "checkpoints/graphcodebert-base-lowLR-highBatchSize/checkpoint-500",
20
+ "label_smoothing": 0.5,
21
+ "adversarial_epsilon": 0.5,
22
+ "use_swa": false,
23
+ "swa_start_epoch": 0,
24
+ "swa_lr": 1e-05,
25
+ "data_augmentation": true,
26
+ "aug_rename_prob": 0.8,
27
+ "aug_format_prob": 0.8,
28
+ "mixup_alpha": 1.0,
29
+ "low_pass_keep_ratio": 0.5,
30
+ "freq_consistency_weight": 0.5,
31
+ "hidden_dropout_prob": 0.3,
32
+ "attention_probs_dropout_prob": 0.3,
33
+ "classifier_dropout": 0.3,
34
+ "device": "cuda"
35
+ }
graphcodebert-base-lowLR-highBatchSize/checkpoint-900/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
graphcodebert-base-lowLR-highBatchSize/checkpoint-900/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a2b4b28e3f41b50f1e79a215c3717c6cdbb00864d1d19a89b49453800d3a6498
3
+ size 498612824