Instructions to use dzungpham/graphcodebert-code-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dzungpham/graphcodebert-code-classification with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dzungpham/graphcodebert-code-classification", dtype="auto") - Notebooks
- Google Colab
- Kaggle
upload checkpoints, early stopping terminate training at 1700 steps
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- graphcodebert-best/checkpoint-1500/config.json +29 -0
- graphcodebert-best/checkpoint-1500/config_hyperparams.json +53 -0
- graphcodebert-best/checkpoint-1500/hyperparams.json +39 -0
- graphcodebert-best/checkpoint-1500/merges.txt +0 -0
- graphcodebert-best/checkpoint-1500/model.safetensors +3 -0
- graphcodebert-best/checkpoint-1500/optimizer.pt +3 -0
- graphcodebert-best/checkpoint-1500/rng_state.pth +3 -0
- graphcodebert-best/checkpoint-1500/scaler.pt +3 -0
- graphcodebert-best/checkpoint-1500/scheduler.pt +3 -0
- graphcodebert-best/checkpoint-1500/special_tokens_map.json +51 -0
- graphcodebert-best/checkpoint-1500/tokenizer.json +0 -0
- graphcodebert-best/checkpoint-1500/tokenizer_config.json +58 -0
- graphcodebert-best/checkpoint-1500/trainer_state.json +1333 -0
- graphcodebert-best/checkpoint-1500/training_args.bin +3 -0
- graphcodebert-best/checkpoint-1500/vocab.json +0 -0
- graphcodebert-best/checkpoint-1550/config.json +29 -0
- graphcodebert-best/checkpoint-1550/config_hyperparams.json +53 -0
- graphcodebert-best/checkpoint-1550/hyperparams.json +39 -0
- graphcodebert-best/checkpoint-1550/merges.txt +0 -0
- graphcodebert-best/checkpoint-1550/model.safetensors +3 -0
- graphcodebert-best/checkpoint-1550/optimizer.pt +3 -0
- graphcodebert-best/checkpoint-1550/rng_state.pth +3 -0
- graphcodebert-best/checkpoint-1550/scaler.pt +3 -0
- graphcodebert-best/checkpoint-1550/scheduler.pt +3 -0
- graphcodebert-best/checkpoint-1550/special_tokens_map.json +51 -0
- graphcodebert-best/checkpoint-1550/tokenizer.json +0 -0
- graphcodebert-best/checkpoint-1550/tokenizer_config.json +58 -0
- graphcodebert-best/checkpoint-1550/trainer_state.json +1380 -0
- graphcodebert-best/checkpoint-1550/training_args.bin +3 -0
- graphcodebert-best/checkpoint-1550/vocab.json +0 -0
- graphcodebert-best/checkpoint-1600/config.json +29 -0
- graphcodebert-best/checkpoint-1600/config_hyperparams.json +53 -0
- graphcodebert-best/checkpoint-1600/hyperparams.json +39 -0
- graphcodebert-best/checkpoint-1600/merges.txt +0 -0
- graphcodebert-best/checkpoint-1600/model.safetensors +3 -0
- graphcodebert-best/checkpoint-1600/optimizer.pt +3 -0
- graphcodebert-best/checkpoint-1600/rng_state.pth +3 -0
- graphcodebert-best/checkpoint-1600/scaler.pt +3 -0
- graphcodebert-best/checkpoint-1600/scheduler.pt +3 -0
- graphcodebert-best/checkpoint-1600/special_tokens_map.json +51 -0
- graphcodebert-best/checkpoint-1600/tokenizer.json +0 -0
- graphcodebert-best/checkpoint-1600/tokenizer_config.json +58 -0
- graphcodebert-best/checkpoint-1600/trainer_state.json +1427 -0
- graphcodebert-best/checkpoint-1600/training_args.bin +3 -0
- graphcodebert-best/checkpoint-1600/vocab.json +0 -0
- graphcodebert-best/checkpoint-1650/config.json +29 -0
- graphcodebert-best/checkpoint-1650/config_hyperparams.json +53 -0
- graphcodebert-best/checkpoint-1650/hyperparams.json +39 -0
- graphcodebert-best/checkpoint-1650/merges.txt +0 -0
- graphcodebert-best/checkpoint-1650/model.safetensors +3 -0
graphcodebert-best/checkpoint-1500/config.json
ADDED
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{
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"architectures": [
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"RobertaForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.3,
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"bos_token_id": 0,
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"classifier_dropout": 0.3,
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"dtype": "float32",
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"eos_token_id": 2,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.3,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"transformers_version": "4.56.0",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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}
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graphcodebert-best/checkpoint-1500/config_hyperparams.json
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{
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"train_config": {
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"model_name": "microsoft/graphcodebert-base",
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"num_epochs": 2,
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"batch_size": 256,
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"learning_rate": 1e-06,
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"max_length": 512,
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"num_labels": 2,
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"loss_type": "r-drop",
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"focal_alpha": 1.0,
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"focal_gamma": 2.0,
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"r_drop_alpha": 6.0,
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"infonce_temperature": 0.07,
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"infonce_weight": 0.5,
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"label_smoothing": 0.5,
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"adversarial_epsilon": 0.5,
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"use_swa": false,
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"swa_start_epoch": 0,
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"swa_lr": 1e-05,
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"data_augmentation": true,
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"aug_rename_prob": 0.8,
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"aug_format_prob": 0.8,
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"freeze_base": true,
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"seed": 42,
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"use_wandb": true,
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"mixup_alpha": 1.0,
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"low_pass_keep_ratio": 0.5,
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"freq_consistency_weight": 0.5
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},
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"training_arguments": {
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"output_dir": "output_checkpoints/graphcodebert-best/",
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"num_train_epochs": 2,
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"per_device_train_batch_size": 256,
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"per_device_eval_batch_size": 512,
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"learning_rate": 1e-06,
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"warmup_steps": 408,
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"weight_decay": 0.1,
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"logging_steps": 2,
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"eval_steps": 20,
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"save_steps": 100,
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"metric_for_best_model": "macro_f1",
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"greater_is_better": true,
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"save_total_limit": 5,
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"fp16": true,
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"seed": 42
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},
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"training_state": {
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"global_step": 1500,
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"epoch": 1.467710371819961,
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"best_metric": 0.6107434799532893,
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"best_model_checkpoint": "output_checkpoints/graphcodebert-best/checkpoint-1500"
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}
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}
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graphcodebert-best/checkpoint-1500/hyperparams.json
ADDED
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{
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"model_name": "microsoft/graphcodebert-base",
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"output_dir": "output_checkpoints/graphcodebert-best/",
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"num_epochs": 2,
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"max_steps": -1,
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"batch_size": 256,
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"learning_rate": 1e-06,
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"max_length": 512,
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"num_labels": 2,
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"use_wandb": true,
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"freeze_base": true,
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"loss_type": "r-drop",
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"focal_alpha": 1.0,
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"focal_gamma": 2.0,
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"r_drop_alpha": 6.0,
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"infonce_temperature": 0.07,
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"infonce_weight": 0.5,
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"seed": 42,
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"wandb_run_name": "graphcodebert-rdrop-best",
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"resume_from_checkpoint": "checkpoints/graphcodebert-best/checkpoint-1400",
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"save_steps": 100,
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"eval_steps": 20,
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"logging_steps": 2,
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"label_smoothing": 0.5,
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"adversarial_epsilon": 0.5,
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"use_swa": false,
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"swa_start_epoch": 0,
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"swa_lr": 1e-05,
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"data_augmentation": true,
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"aug_rename_prob": 0.8,
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"aug_format_prob": 0.8,
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"mixup_alpha": 1.0,
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"low_pass_keep_ratio": 0.5,
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"freq_consistency_weight": 0.5,
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"hidden_dropout_prob": 0.3,
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"attention_probs_dropout_prob": 0.3,
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| 37 |
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"classifier_dropout": 0.3,
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"device": "cuda"
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}
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graphcodebert-best/checkpoint-1500/merges.txt
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graphcodebert-best/checkpoint-1500/model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 498612824
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graphcodebert-best/checkpoint-1500/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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size 4741859
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graphcodebert-best/checkpoint-1500/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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size 14645
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graphcodebert-best/checkpoint-1500/scaler.pt
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version https://git-lfs.github.com/spec/v1
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size 1383
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graphcodebert-best/checkpoint-1500/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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size 1465
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graphcodebert-best/checkpoint-1500/special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"cls_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"sep_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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graphcodebert-best/checkpoint-1500/tokenizer.json
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graphcodebert-best/checkpoint-1500/tokenizer_config.json
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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-best/checkpoint-1500/trainer_state.json
ADDED
|
@@ -0,0 +1,1333 @@
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+
"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-best/checkpoint-1550/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
graphcodebert-best/checkpoint-1550/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-best/checkpoint-1550/trainer_state.json
ADDED
|
@@ -0,0 +1,1380 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
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|
|
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|
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|
|
|
|
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|
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|
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|
|
|
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|
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|
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|
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"use_swa": false,
|
| 27 |
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"swa_start_epoch": 0,
|
| 28 |
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"swa_lr": 1e-05,
|
| 29 |
+
"data_augmentation": true,
|
| 30 |
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"aug_rename_prob": 0.8,
|
| 31 |
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"aug_format_prob": 0.8,
|
| 32 |
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"mixup_alpha": 1.0,
|
| 33 |
+
"low_pass_keep_ratio": 0.5,
|
| 34 |
+
"freq_consistency_weight": 0.5,
|
| 35 |
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"hidden_dropout_prob": 0.3,
|
| 36 |
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"attention_probs_dropout_prob": 0.3,
|
| 37 |
+
"classifier_dropout": 0.3,
|
| 38 |
+
"device": "cuda"
|
| 39 |
+
}
|
graphcodebert-best/checkpoint-1600/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
graphcodebert-best/checkpoint-1600/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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|
| 3 |
+
size 498612824
|
graphcodebert-best/checkpoint-1600/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
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|
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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|
| 3 |
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size 4741859
|
graphcodebert-best/checkpoint-1600/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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|
| 3 |
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size 14645
|
graphcodebert-best/checkpoint-1600/scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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|
| 3 |
+
size 1383
|
graphcodebert-best/checkpoint-1600/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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|
| 3 |
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size 1465
|
graphcodebert-best/checkpoint-1600/special_tokens_map.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
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|
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|
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|
|
|
|
|
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|
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|
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|
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|
|
| 1 |
+
{
|
| 2 |
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"bos_token": {
|
| 3 |
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|
| 4 |
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|
| 5 |
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"normalized": true,
|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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"normalized": true,
|
| 13 |
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|
| 14 |
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"single_word": false
|
| 15 |
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},
|
| 16 |
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"eos_token": {
|
| 17 |
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"content": "</s>",
|
| 18 |
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"lstrip": false,
|
| 19 |
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"normalized": true,
|
| 20 |
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"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
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"mask_token": {
|
| 24 |
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"content": "<mask>",
|
| 25 |
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"lstrip": true,
|
| 26 |
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"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 |
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"content": "<unk>",
|
| 46 |
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"lstrip": false,
|
| 47 |
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"normalized": true,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false
|
| 50 |
+
}
|
| 51 |
+
}
|
graphcodebert-best/checkpoint-1600/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
graphcodebert-best/checkpoint-1600/tokenizer_config.json
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
| 1 |
+
{
|
| 2 |
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"add_prefix_space": false,
|
| 3 |
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"added_tokens_decoder": {
|
| 4 |
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"0": {
|
| 5 |
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|
| 6 |
+
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|
| 7 |
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"normalized": true,
|
| 8 |
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|
| 9 |
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|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
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"1": {
|
| 13 |
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"content": "<pad>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
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"normalized": true,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
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"2": {
|
| 21 |
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"content": "</s>",
|
| 22 |
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|
| 23 |
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"normalized": true,
|
| 24 |
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"rstrip": false,
|
| 25 |
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"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"3": {
|
| 29 |
+
"content": "<unk>",
|
| 30 |
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"lstrip": false,
|
| 31 |
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"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 |
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"cls_token": "<s>",
|
| 48 |
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"eos_token": "</s>",
|
| 49 |
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"errors": "replace",
|
| 50 |
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"extra_special_tokens": {},
|
| 51 |
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"mask_token": "<mask>",
|
| 52 |
+
"model_max_length": 512,
|
| 53 |
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"pad_token": "<pad>",
|
| 54 |
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"sep_token": "</s>",
|
| 55 |
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"tokenizer_class": "RobertaTokenizer",
|
| 56 |
+
"trim_offsets": true,
|
| 57 |
+
"unk_token": "<unk>"
|
| 58 |
+
}
|
graphcodebert-best/checkpoint-1600/trainer_state.json
ADDED
|
@@ -0,0 +1,1427 @@
|
|
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|
|
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+
}
|
graphcodebert-best/checkpoint-1600/training_args.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:64c17152ed398b73e20bd50dc60d53fbf3ed80171c849e4471f8fcaebececf87
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| 3 |
+
size 5905
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graphcodebert-best/checkpoint-1600/vocab.json
ADDED
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graphcodebert-best/checkpoint-1650/config.json
ADDED
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| 1 |
+
{
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| 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,
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| 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 |
+
}
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graphcodebert-best/checkpoint-1650/config_hyperparams.json
ADDED
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|
| 1 |
+
{
|
| 2 |
+
"train_config": {
|
| 3 |
+
"model_name": "microsoft/graphcodebert-base",
|
| 4 |
+
"num_epochs": 2,
|
| 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": 6.0,
|
| 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-best/",
|
| 32 |
+
"num_train_epochs": 2,
|
| 33 |
+
"per_device_train_batch_size": 256,
|
| 34 |
+
"per_device_eval_batch_size": 512,
|
| 35 |
+
"learning_rate": 1e-06,
|
| 36 |
+
"warmup_steps": 408,
|
| 37 |
+
"weight_decay": 0.1,
|
| 38 |
+
"logging_steps": 2,
|
| 39 |
+
"eval_steps": 20,
|
| 40 |
+
"save_steps": 100,
|
| 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": 1650,
|
| 49 |
+
"epoch": 1.6144814090019568,
|
| 50 |
+
"best_metric": 0.6134094606232656,
|
| 51 |
+
"best_model_checkpoint": "output_checkpoints/graphcodebert-best/checkpoint-1550"
|
| 52 |
+
}
|
| 53 |
+
}
|
graphcodebert-best/checkpoint-1650/hyperparams.json
ADDED
|
@@ -0,0 +1,39 @@
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|
|
| 1 |
+
{
|
| 2 |
+
"model_name": "microsoft/graphcodebert-base",
|
| 3 |
+
"output_dir": "output_checkpoints/graphcodebert-best/",
|
| 4 |
+
"num_epochs": 2,
|
| 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": 6.0,
|
| 16 |
+
"infonce_temperature": 0.07,
|
| 17 |
+
"infonce_weight": 0.5,
|
| 18 |
+
"seed": 42,
|
| 19 |
+
"wandb_run_name": "graphcodebert-rdrop-best",
|
| 20 |
+
"resume_from_checkpoint": "checkpoints/graphcodebert-best/checkpoint-1400",
|
| 21 |
+
"save_steps": 100,
|
| 22 |
+
"eval_steps": 20,
|
| 23 |
+
"logging_steps": 2,
|
| 24 |
+
"label_smoothing": 0.5,
|
| 25 |
+
"adversarial_epsilon": 0.5,
|
| 26 |
+
"use_swa": false,
|
| 27 |
+
"swa_start_epoch": 0,
|
| 28 |
+
"swa_lr": 1e-05,
|
| 29 |
+
"data_augmentation": true,
|
| 30 |
+
"aug_rename_prob": 0.8,
|
| 31 |
+
"aug_format_prob": 0.8,
|
| 32 |
+
"mixup_alpha": 1.0,
|
| 33 |
+
"low_pass_keep_ratio": 0.5,
|
| 34 |
+
"freq_consistency_weight": 0.5,
|
| 35 |
+
"hidden_dropout_prob": 0.3,
|
| 36 |
+
"attention_probs_dropout_prob": 0.3,
|
| 37 |
+
"classifier_dropout": 0.3,
|
| 38 |
+
"device": "cuda"
|
| 39 |
+
}
|
graphcodebert-best/checkpoint-1650/merges.txt
ADDED
|
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graphcodebert-best/checkpoint-1650/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c0ec4e6a4880c1de365a6b6d8dda360d61aad60c1da028a0dc9a1f782a440b29
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| 3 |
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size 498612824
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