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
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- graphcodebert-vanilla/checkpoint-100/config.json +29 -0
- graphcodebert-vanilla/checkpoint-100/config_hyperparams.json +53 -0
- graphcodebert-vanilla/checkpoint-100/hyperparams.json +39 -0
- graphcodebert-vanilla/checkpoint-100/merges.txt +0 -0
- graphcodebert-vanilla/checkpoint-100/model.safetensors +3 -0
- graphcodebert-vanilla/checkpoint-100/optimizer.pt +3 -0
- graphcodebert-vanilla/checkpoint-100/rng_state.pth +3 -0
- graphcodebert-vanilla/checkpoint-100/scaler.pt +3 -0
- graphcodebert-vanilla/checkpoint-100/scheduler.pt +3 -0
- graphcodebert-vanilla/checkpoint-100/special_tokens_map.json +51 -0
- graphcodebert-vanilla/checkpoint-100/tokenizer.json +0 -0
- graphcodebert-vanilla/checkpoint-100/tokenizer_config.json +58 -0
- graphcodebert-vanilla/checkpoint-100/trainer_state.json +207 -0
- graphcodebert-vanilla/checkpoint-100/training_args.bin +3 -0
- graphcodebert-vanilla/checkpoint-100/vocab.json +0 -0
- graphcodebert-vanilla/checkpoint-200/config.json +29 -0
- graphcodebert-vanilla/checkpoint-200/config_hyperparams.json +53 -0
- graphcodebert-vanilla/checkpoint-200/hyperparams.json +39 -0
- graphcodebert-vanilla/checkpoint-200/merges.txt +0 -0
- graphcodebert-vanilla/checkpoint-200/model.safetensors +3 -0
- graphcodebert-vanilla/checkpoint-200/optimizer.pt +3 -0
- graphcodebert-vanilla/checkpoint-200/rng_state.pth +3 -0
- graphcodebert-vanilla/checkpoint-200/scaler.pt +3 -0
- graphcodebert-vanilla/checkpoint-200/scheduler.pt +3 -0
- graphcodebert-vanilla/checkpoint-200/special_tokens_map.json +51 -0
- graphcodebert-vanilla/checkpoint-200/tokenizer.json +0 -0
- graphcodebert-vanilla/checkpoint-200/tokenizer_config.json +58 -0
- graphcodebert-vanilla/checkpoint-200/trainer_state.json +371 -0
- graphcodebert-vanilla/checkpoint-200/training_args.bin +3 -0
- graphcodebert-vanilla/checkpoint-200/vocab.json +0 -0
- graphcodebert-vanilla/checkpoint-300/config.json +29 -0
- graphcodebert-vanilla/checkpoint-300/config_hyperparams.json +53 -0
- graphcodebert-vanilla/checkpoint-300/hyperparams.json +39 -0
- graphcodebert-vanilla/checkpoint-300/merges.txt +0 -0
- graphcodebert-vanilla/checkpoint-300/model.safetensors +3 -0
- graphcodebert-vanilla/checkpoint-300/optimizer.pt +3 -0
- graphcodebert-vanilla/checkpoint-300/rng_state.pth +3 -0
- graphcodebert-vanilla/checkpoint-300/scaler.pt +3 -0
- graphcodebert-vanilla/checkpoint-300/scheduler.pt +3 -0
- graphcodebert-vanilla/checkpoint-300/special_tokens_map.json +51 -0
- graphcodebert-vanilla/checkpoint-300/tokenizer.json +0 -0
- graphcodebert-vanilla/checkpoint-300/tokenizer_config.json +58 -0
- graphcodebert-vanilla/checkpoint-300/trainer_state.json +535 -0
- graphcodebert-vanilla/checkpoint-300/training_args.bin +3 -0
- graphcodebert-vanilla/checkpoint-300/vocab.json +0 -0
- graphcodebert-vanilla/final_model/config.json +29 -0
- graphcodebert-vanilla/final_model/merges.txt +0 -0
- graphcodebert-vanilla/final_model/model.safetensors +3 -0
- graphcodebert-vanilla/final_model/special_tokens_map.json +51 -0
- graphcodebert-vanilla/final_model/tokenizer.json +0 -0
graphcodebert-vanilla/checkpoint-100/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-vanilla/checkpoint-100/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": 3,
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"batch_size": 256,
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"learning_rate": 2e-05,
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"max_length": 512,
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"num_labels": 2,
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"loss_type": "ce",
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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,
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"adversarial_epsilon": 0,
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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": false,
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"aug_rename_prob": 0.0,
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"aug_format_prob": 0.0,
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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": 0.0,
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"low_pass_keep_ratio": 0.5,
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"freq_consistency_weight": 0.0
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},
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"training_arguments": {
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"output_dir": "output_checkpoints/graphcodebert-vanilla/",
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"num_train_epochs": 3,
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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": 2e-05,
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"warmup_steps": 612,
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"weight_decay": 0.1,
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"logging_steps": 5,
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"eval_steps": 50,
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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": 100,
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"epoch": 0.09784735812133072,
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"best_metric": 0.5260673147136775,
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"best_model_checkpoint": "output_checkpoints/graphcodebert-vanilla/checkpoint-100"
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}
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}
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graphcodebert-vanilla/checkpoint-100/hyperparams.json
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{
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"model_name": "microsoft/graphcodebert-base",
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"output_dir": "output_checkpoints/graphcodebert-vanilla/",
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"num_epochs": 3,
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"max_steps": -1,
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"batch_size": 256,
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"learning_rate": 2e-05,
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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": "ce",
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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-vanilla",
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"resume_from_checkpoint": null,
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"save_steps": 100,
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"eval_steps": 50,
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"logging_steps": 5,
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"label_smoothing": 0,
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| 25 |
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"adversarial_epsilon": 0,
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"use_swa": false,
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"swa_start_epoch": 0,
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| 28 |
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"swa_lr": 1e-05,
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"data_augmentation": false,
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"aug_rename_prob": 0.0,
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| 31 |
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"aug_format_prob": 0.0,
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"mixup_alpha": 0.0,
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| 33 |
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"low_pass_keep_ratio": 0.5,
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| 34 |
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"freq_consistency_weight": 0.0,
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| 35 |
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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-vanilla/checkpoint-100/merges.txt
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graphcodebert-vanilla/checkpoint-100/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:da3f281851fd71b6943f4e6fc58ef17ba54c6d167a319cabac7deab1eafcd599
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size 498612824
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graphcodebert-vanilla/checkpoint-100/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:54f9e03da26cb2cf86cb6f1f437f201f3cbc236e6729b9abd7d153a24ce31ee8
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size 4741859
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graphcodebert-vanilla/checkpoint-100/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:ddddccf76b63f161c92bc8774c3df6f375bf2ce43e44a910de13434d0630025e
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size 14645
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graphcodebert-vanilla/checkpoint-100/scaler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:b21c5349d5e7d02de630ebc1cb53ade1d9c6079eeb8594d223bb786011a0428b
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size 1383
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graphcodebert-vanilla/checkpoint-100/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:b683a9e0270ef59bda524139bbaf1cd9071993f5d3a698ac0dcacdd374cee064
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size 1465
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graphcodebert-vanilla/checkpoint-100/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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| 27 |
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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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| 49 |
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"single_word": false
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}
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}
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graphcodebert-vanilla/checkpoint-100/tokenizer.json
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graphcodebert-vanilla/checkpoint-100/tokenizer_config.json
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
graphcodebert-vanilla/checkpoint-200/config_hyperparams.json
ADDED
|
@@ -0,0 +1,53 @@
|
|
|
|
|
|
|
|
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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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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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|
| 3 |
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"model_name": "microsoft/graphcodebert-base",
|
| 4 |
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|
| 5 |
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|
| 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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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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| 22 |
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|
| 23 |
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| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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"output_dir": "output_checkpoints/graphcodebert-vanilla/",
|
| 32 |
+
"num_train_epochs": 3,
|
| 33 |
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"per_device_train_batch_size": 256,
|
| 34 |
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|
| 35 |
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"learning_rate": 2e-05,
|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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"metric_for_best_model": "macro_f1",
|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
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| 51 |
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|
| 52 |
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}
|
| 53 |
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}
|
graphcodebert-vanilla/checkpoint-200/hyperparams.json
ADDED
|
@@ -0,0 +1,39 @@
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|
| 1 |
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{
|
| 2 |
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"model_name": "microsoft/graphcodebert-base",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 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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|
| 13 |
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| 14 |
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| 15 |
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| 17 |
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| 18 |
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| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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| 24 |
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| 25 |
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|
| 26 |
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| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 36 |
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|
| 37 |
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|
| 38 |
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"device": "cuda"
|
| 39 |
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}
|
graphcodebert-vanilla/checkpoint-200/merges.txt
ADDED
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The diff for this file is too large to render.
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graphcodebert-vanilla/checkpoint-200/model.safetensors
ADDED
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@@ -0,0 +1,3 @@
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ADDED
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graphcodebert-vanilla/checkpoint-200/rng_state.pth
ADDED
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ADDED
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graphcodebert-vanilla/checkpoint-200/scheduler.pt
ADDED
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graphcodebert-vanilla/checkpoint-200/special_tokens_map.json
ADDED
|
@@ -0,0 +1,51 @@
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| 1 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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|
| 28 |
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|
| 29 |
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| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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| 36 |
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| 37 |
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|
| 38 |
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| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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| 44 |
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|
| 45 |
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|
| 46 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
graphcodebert-vanilla/checkpoint-200/tokenizer.json
ADDED
|
The diff for this file is too large to render.
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|
|
graphcodebert-vanilla/checkpoint-200/tokenizer_config.json
ADDED
|
@@ -0,0 +1,58 @@
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|
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|
| 1 |
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|
| 3 |
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|
| 4 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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| 12 |
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| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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},
|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
+
},
|
| 36 |
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"50264": {
|
| 37 |
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"content": "<mask>",
|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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}
|
| 44 |
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|
| 45 |
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|
| 46 |
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|
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|
| 48 |
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| 49 |
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|
| 50 |
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| 51 |
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|
| 52 |
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| 53 |
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|
| 54 |
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|
| 56 |
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|
| 57 |
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"unk_token": "<unk>"
|
| 58 |
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|
graphcodebert-vanilla/checkpoint-200/trainer_state.json
ADDED
|
@@ -0,0 +1,371 @@
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|
| 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-vanilla/checkpoint-300/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
graphcodebert-vanilla/checkpoint-300/tokenizer_config.json
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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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-vanilla/checkpoint-300/trainer_state.json
ADDED
|
@@ -0,0 +1,535 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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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 |
+
"best_global_step": 200,
|
| 3 |
+
"best_metric": 0.5962545254252696,
|
| 4 |
+
"best_model_checkpoint": "output_checkpoints/graphcodebert-vanilla/checkpoint-200",
|
| 5 |
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"epoch": 0.29354207436399216,
|
| 6 |
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"eval_steps": 50,
|
| 7 |
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"global_step": 300,
|
| 8 |
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"is_hyper_param_search": false,
|
| 9 |
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"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
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{
|
| 13 |
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"epoch": 0.004892367906066536,
|
| 14 |
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"grad_norm": 33435.953125,
|
| 15 |
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"learning_rate": 1.3071895424836603e-07,
|
| 16 |
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"loss": 0.7006,
|
| 17 |
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"step": 5
|
| 18 |
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},
|
| 19 |
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{
|
| 20 |
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"epoch": 0.009784735812133072,
|
| 21 |
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"grad_norm": 34831.7421875,
|
| 22 |
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"learning_rate": 2.9411764705882356e-07,
|
| 23 |
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"loss": 0.7023,
|
| 24 |
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"step": 10
|
| 25 |
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},
|
| 26 |
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{
|
| 27 |
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"epoch": 0.014677103718199608,
|
| 28 |
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"grad_norm": 32986.62109375,
|
| 29 |
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"learning_rate": 4.5751633986928105e-07,
|
| 30 |
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"loss": 0.7019,
|
| 31 |
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