Commit
•
c3a8d06
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Parent(s):
cc16671
Upload 9 files
Browse files- config.json +32 -0
- eval_results.txt +8 -0
- merges.txt +0 -0
- model_args.json +1 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +51 -0
- tokenizer_config.json +66 -0
- training_args.bin +3 -0
- vocab.json +0 -0
config.json
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{
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"_name_or_path": "microsoft/deberta-base",
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"architectures": [
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"DebertaForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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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-07,
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"max_position_embeddings": 512,
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"max_relative_positions": -1,
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"model_type": "deberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"pooler_dropout": 0,
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"pooler_hidden_act": "gelu",
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"pooler_hidden_size": 768,
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"pos_att_type": [
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"c2p",
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"p2c"
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],
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"position_biased_input": false,
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"relative_attention": true,
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"torch_dtype": "float32",
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"transformers_version": "4.30.2",
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"type_vocab_size": 0,
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"vocab_size": 50265
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}
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eval_results.txt
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auprc = 0.8980205456601322
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auroc = 0.9242321267258466
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eval_loss = 0.568679764738986
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fn = 285
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fp = 345
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mcc = 0.6940210520071152
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tn = 1903
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tp = 1602
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merges.txt
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model_args.json
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{"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": 8, "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": 1e-05, "local_rank": -1, "logging_steps": 50, "loss_type": null, "loss_args": {}, "manual_seed": null, "max_grad_norm": 1.0, "max_seq_length": 128, "model_name": "microsoft/deberta-base", "model_type": "deberta", "multiprocessing_chunksize": -1, "n_gpu": 1, "no_cache": false, "no_save": false, "not_saved_args": [], "num_train_epochs": 10, "optimizer": "AdamW", "output_dir": "/workplace/yhwu/pan24/model/deberta_output_hard_2324", "overwrite_output_dir": true, "polynomial_decay_schedule_lr_end": 1e-07, "polynomial_decay_schedule_power": 1.0, "process_count": 22, "quantized_model": false, "reprocess_input_data": true, "save_best_model": true, "save_eval_checkpoints": true, "save_model_every_epoch": true, "save_optimizer_and_scheduler": true, "save_steps": 2000, "scheduler": "linear_schedule_with_warmup", "silent": false, "skip_special_tokens": true, "tensorboard_dir": null, "thread_count": null, "tokenizer_name": "microsoft/deberta-base", "tokenizer_type": null, "train_batch_size": 60, "train_custom_parameters_only": false, "use_cached_eval_features": false, "use_early_stopping": false, "use_hf_datasets": false, "use_multiprocessing": true, "use_multiprocessing_for_evaluation": true, "wandb_kwargs": {}, "wandb_project": null, "warmup_ratio": 0.06, "warmup_steps": 423, "weight_decay": 0.0, "model_class": "ClassificationModel", "labels_list": [0, 1], "labels_map": {}, "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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:69bd20938d67d21af07ad1dfa8eae17a71690e2c7a00540b5581e6e350e2fb70
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size 556846831
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special_tokens_map.json
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{
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"bos_token": {
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"content": "[CLS]",
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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": "[CLS]",
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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": "[SEP]",
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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": "[SEP]",
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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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tokenizer_config.json
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{
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"add_bos_token": false,
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"add_prefix_space": false,
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"bos_token": {
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"__type": "AddedToken",
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"content": "[CLS]",
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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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"clean_up_tokenization_spaces": true,
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"cls_token": {
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"__type": "AddedToken",
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"content": "[CLS]",
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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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"do_lower_case": false,
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"eos_token": {
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"__type": "AddedToken",
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"content": "[SEP]",
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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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"errors": "replace",
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"mask_token": {
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"__type": "AddedToken",
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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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"model_max_length": 512,
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"pad_token": {
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"__type": "AddedToken",
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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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"__type": "AddedToken",
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"content": "[SEP]",
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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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"tokenizer_class": "DebertaTokenizer",
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"unk_token": {
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"__type": "AddedToken",
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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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"vocab_type": "gpt2"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:68237ca6490ce984609d0ef63fb2152d417a72e37ad4a1ad73dccbbace07d9d8
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size 3247
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vocab.json
ADDED
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