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nimble-bert-v2

Text Classification
Transformers
PyTorch
bert
Inference Endpoints
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nimble-bert-v2
File size: 1,147 Bytes 
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{
    "model_name_or_path": "lstm",
    "attack": null,
    "dataset": "yelp_polarity",
    "task_type": "classification",
    "model_max_length": null,
    "model_num_labels": null,
    "dataset_train_split": "train",
    "dataset_eval_split": "test",
    "filter_train_by_labels": null,
    "filter_eval_by_labels": null,
    "num_epochs": 50,
    "num_clean_epochs": 1,
    "attack_epoch_interval": 1,
    "early_stopping_epochs": null,
    "learning_rate": 1e-05,
    "num_warmup_steps": 500,
    "weight_decay": 0.01,
    "per_device_train_batch_size": 8,
    "per_device_eval_batch_size": 32,
    "gradient_accumulation_steps": 1,
    "random_seed": 786,
    "parallel": false,
    "load_best_model_at_end": false,
    "alpha": 1.0,
    "num_train_adv_examples": -1,
    "query_budget_train": null,
    "attack_num_workers_per_device": 1,
    "output_dir": "./outputs/2024-03-22-01-16-17-693140",
    "checkpoint_interval_steps": null,
    "checkpoint_interval_epochs": null,
    "save_last": true,
    "log_to_tb": false,
    "tb_log_dir": null,
    "log_to_wandb": false,
    "wandb_project": "textattack",
    "logging_interval_step": 1
}