Add model files
Browse files- config.json +32 -0
- eval_results.txt +8 -0
- model_args.json +1 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
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{
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"_name_or_path": "loodos/albert-base-turkish-uncased",
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"architectures": [
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"AlbertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 2,
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"classifier_dropout_prob": 0.1,
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"down_scale_factor": 1,
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"embedding_size": 128,
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"eos_token_id": 3,
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"gap_size": 0,
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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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"inner_group_num": 1,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "albert",
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"net_structure_type": 0,
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"num_attention_heads": 12,
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"num_hidden_groups": 1,
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"num_hidden_layers": 12,
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"num_memory_blocks": 0,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"transformers_version": "4.8.1",
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"type_vocab_size": 2,
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"vocab_size": 32000
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}
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eval_results.txt
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auprc = 0.9588538437395457
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auroc = 0.9653234951018236
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eval_loss = 0.37227460598843365
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fn = 188
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fp = 288
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mcc = 0.826593937301856
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tn = 2479
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tp = 2516
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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_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": 0.01, "early_stopping_metric": "mcc", "early_stopping_metric_minimize": false, "early_stopping_patience": 5, "encoding": null, "eval_batch_size": 8, "evaluate_during_training": false, "evaluate_during_training_silent": true, "evaluate_during_training_steps": 1000, "evaluate_during_training_verbose": false, "evaluate_each_epoch": true, "fp16": false, "gradient_accumulation_steps": 1, "learning_rate": 4e-05, "local_rank": -1, "logging_steps": 50, "manual_seed": null, "max_grad_norm": 1.0, "max_seq_length": 128, "model_name": "loodos/albert-base-turkish-uncased", "model_type": "albert", "multiprocessing_chunksize": -1, "n_gpu": 1, "no_cache": false, "no_save": false, "not_saved_args": [], "num_train_epochs": 3, "optimizer": "AdamW", "output_dir": "outputs/", "overwrite_output_dir": true, "polynomial_decay_schedule_lr_end": 1e-07, "polynomial_decay_schedule_power": 1.0, "process_count": 1, "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": "loodos/albert-base-turkish-uncased", "tokenizer_type": null, "train_batch_size": 8, "train_custom_parameters_only": false, "use_cached_eval_features": false, "use_early_stopping": true, "use_hf_datasets": false, "use_multiprocessing": true, "use_multiprocessing_for_evaluation": true, "wandb_kwargs": {}, "wandb_project": null, "warmup_ratio": 0.06, "warmup_steps": 493, "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 sha256:44616cf72ad106770d1dfe6f88e2ff102560a1bdbfa292f3e879ba90f0b01d70
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size 47779537
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special_tokens_map.json
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{"bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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spiece.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:0906192fc8a73500782d11318813c4554fb0aeeb2ded6899b69839f09958ee99
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size 862541
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tokenizer.json
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tokenizer_config.json
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{"do_lower_case": false, "remove_space": true, "keep_accents": true, "bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "sp_model_kwargs": {}, "model_max_length": 512, "special_tokens_map_file": "/root/.cache/huggingface/transformers/7d95d845dcc2b2c5f3d0f89419e73643a4f2beaa4827cde828c8828090e70851.623993453f3f6b9f6ad831899812f482e5cde100e664124feb3a6446d69a26bf", "tokenizer_file": null, "name_or_path": "loodos/albert-base-turkish-uncased", "tokenizer_class": "AlbertTokenizer"}
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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:fae6aa65a522f5e6e3feb8c3a8719554cf7343f5b7fa628031a358a6f614dc6a
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size 3119
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vocab.txt
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