Download model_args.json from classla/multilingual-IPTC-news-topic-classifier: direct link, hf CLI and curl.
- Browser
- Download file 3.41 kB
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https://huggingface.co/classla/multilingual-IPTC-news-topic-classifier/resolve/refs%2Fpr%2F1/model_args.json
- Command line
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hf download hf://classla/multilingual-IPTC-news-topic-classifier@refs/pr/1/model_args.json
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curl -L -o model_args.json https://huggingface.co/classla/multilingual-IPTC-news-topic-classifier/resolve/refs%2Fpr%2F1/model_args.json
3.41 kB
| {"adafactor_beta1": null, "adafactor_clip_threshold": 1.0, "adafactor_decay_rate": -0.8, "adafactor_eps": [1e-30, 0.001], "adafactor_relative_step": true, "adafactor_scale_parameter": true, "adafactor_warmup_init": true, "adam_betas": [0.9, 0.999], "adam_epsilon": 1e-08, "best_model_dir": "outputs/best_model", "cache_dir": "cache_dir/", "config": {}, "cosine_schedule_num_cycles": 0.5, "custom_layer_parameters": [], "custom_parameter_groups": [], "dataloader_num_workers": 0, "do_lower_case": false, "dynamic_quantize": false, "early_stopping_consider_epochs": false, "early_stopping_delta": 0, "early_stopping_metric": "eval_loss", "early_stopping_metric_minimize": true, "early_stopping_patience": 3, "encoding": null, "eval_batch_size": 100, "evaluate_during_training": false, "evaluate_during_training_silent": true, "evaluate_during_training_steps": 2000, "evaluate_during_training_verbose": false, "evaluate_each_epoch": true, "fp16": true, "gradient_accumulation_steps": 1, "learning_rate": 8e-06, "local_rank": -1, "logging_steps": 50, "loss_type": null, "loss_args": {}, "manual_seed": null, "max_grad_norm": 1.0, "max_seq_length": 512, "model_name": "xlm-roberta-large", "model_type": "xlmroberta", "multiprocessing_chunksize": -1, "n_gpu": 1, "no_cache": false, "no_save": false, "not_saved_args": [], "num_train_epochs": 5, "optimizer": "AdamW", "output_dir": "15k-model-v2", "overwrite_output_dir": true, "polynomial_decay_schedule_lr_end": 1e-07, "polynomial_decay_schedule_power": 1.0, "process_count": 254, "quantized_model": false, "reprocess_input_data": true, "save_best_model": true, "save_eval_checkpoints": true, "save_model_every_epoch": false, "save_optimizer_and_scheduler": true, "save_steps": -1, "scheduler": "linear_schedule_with_warmup", "silent": true, "skip_special_tokens": true, "tensorboard_dir": null, "thread_count": null, "tokenizer_name": "xlm-roberta-large", "tokenizer_type": null, "train_batch_size": 32, "train_custom_parameters_only": false, "trust_remote_code": false, "use_cached_eval_features": false, "use_early_stopping": false, "use_hf_datasets": false, "use_multiprocessing": false, "use_multiprocessing_for_evaluation": false, "wandb_kwargs": {}, "wandb_project": "IPTC", "warmup_ratio": 0.06, "warmup_steps": 141, "weight_decay": 0.0, "model_class": "ClassificationModel", "labels_list": ["education", "human interest", "society", "sport", "crime, law and justice", "disaster, accident and emergency incident", "arts, culture, entertainment and media", "politics", "economy, business and finance", "lifestyle and leisure", "science and technology", "health", "labour", "religion", "weather", "environment", "conflict, war and peace"], "labels_map": {"education": 0, "human interest": 1, "society": 2, "sport": 3, "crime, law and justice": 4, "disaster, accident and emergency incident": 5, "arts, culture, entertainment and media": 6, "politics": 7, "economy, business and finance": 8, "lifestyle and leisure": 9, "science and technology": 10, "health": 11, "labour": 12, "religion": 13, "weather": 14, "environment": 15, "conflict, war and peace": 16}, "lazy_delimiter": "\t", "lazy_labels_column": 1, "lazy_loading": false, "lazy_loading_start_line": 1, "lazy_text_a_column": null, "lazy_text_b_column": null, "lazy_text_column": 0, "onnx": false, "regression": false, "sliding_window": false, "special_tokens_list": [], "stride": 0.8, "tie_value": 1} |