Delete pp_oficina_3_api

pp_oficina_3_api/.gitattributes

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pp_oficina_3_api/.gitignore

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-.idea/*

pp_oficina_3_api/README.md

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----
-title: Pp Oficina 3
-emoji: 🦀
-colorFrom: red
-colorTo: pink
-sdk: gradio
-sdk_version: 4.7.1
-app_file: app.py
-pinned: false
-license: mit
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

pp_oficina_3_api/app.py

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-import gradio as gr
-#from transformers import pipeline
-from simpletransformers.question_answering import QuestionAnsweringModel
-
-# create pipeline for QA
-
-#qa = pipeline("question-answering")
-model = QuestionAnsweringModel("bert", "./fine_tunned_model",use_cuda=False)
-
-
-def answer_question(context, question):
-    predictions, raw_outputs = model.predict(
-        [
-            {
-                "context": context,
-                "qas": [
-                    {
-                        "question": question,
-                        "id": "0",
-                    }
-                ],
-            }
-        ]
-    )
-    
-    return predictions[0]['answer'][0]
-
-
-iface = gr.Interface(
-    fn=answer_question,
-    inputs=[
-        gr.Textbox(type="text", label="Context"),
-        gr.Textbox(type="text", label="Question")
-    ],
-    outputs=gr.Textbox(type="text", label="Answer")
-)
-iface.launch()
-#%%

pp_oficina_3_api/fine_tunned_model/config.json

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-{
-  "_name_or_path": "bert-base-cased",
-  "architectures": [
-    "BertForQuestionAnswering"
-  ],
-  "attention_probs_dropout_prob": 0.1,
-  "classifier_dropout": null,
-  "gradient_checkpointing": false,
-  "hidden_act": "gelu",
-  "hidden_dropout_prob": 0.1,
-  "hidden_size": 768,
-  "initializer_range": 0.02,
-  "intermediate_size": 3072,
-  "layer_norm_eps": 1e-12,
-  "max_position_embeddings": 512,
-  "model_type": "bert",
-  "num_attention_heads": 12,
-  "num_hidden_layers": 12,
-  "pad_token_id": 0,
-  "position_embedding_type": "absolute",
-  "torch_dtype": "float32",
-  "transformers_version": "4.35.2",
-  "type_vocab_size": 2,
-  "use_cache": true,
-  "vocab_size": 28996
-}

pp_oficina_3_api/fine_tunned_model/eval_results.txt

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-correct = 0
-eval_loss = -1.3515625
-incorrect = 1
-similar = 0

pp_oficina_3_api/fine_tunned_model/model.safetensors

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pp_oficina_3_api/fine_tunned_model/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": "/content/drive/MyDrive/data_colab/fine_tunned_model/bert/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": "correct", "early_stopping_metric_minimize": false, "early_stopping_patience": 3, "encoding": null, "eval_batch_size": 16, "evaluate_during_training": true, "evaluate_during_training_silent": true, "evaluate_during_training_steps": 1000, "evaluate_during_training_verbose": false, "evaluate_each_epoch": true, "fp16": true, "gradient_accumulation_steps": 1, "learning_rate": 4e-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": "bert-base-cased", "model_type": "bert", "multiprocessing_chunksize": -1, "n_gpu": 1, "no_cache": false, "no_save": false, "not_saved_args": [], "num_train_epochs": 30, "optimizer": "AdamW", "output_dir": "outputs/bert", "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": false, "save_model_every_epoch": false, "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": null, "tokenizer_type": null, "train_batch_size": 16, "train_custom_parameters_only": false, "use_cached_eval_features": true, "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": 2, "weight_decay": 0.0, "model_class": "QuestionAnsweringModel", "doc_stride": 384, "lazy_loading": false, "max_answer_length": 100, "max_query_length": 64, "n_best_size": 8, "null_score_diff_threshold": 0.0, "special_tokens_list": []}

pp_oficina_3_api/fine_tunned_model/optimizer.pt

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pp_oficina_3_api/fine_tunned_model/scheduler.pt

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pp_oficina_3_api/fine_tunned_model/special_tokens_map.json

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-{
-  "cls_token": "[CLS]",
-  "mask_token": "[MASK]",
-  "pad_token": "[PAD]",
-  "sep_token": "[SEP]",
-  "unk_token": "[UNK]"
-}

pp_oficina_3_api/fine_tunned_model/tokenizer_config.json

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-{
-  "added_tokens_decoder": {
-    "0": {
-      "content": "[PAD]",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
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-      "content": "[UNK]",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
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-    "101": {
-      "content": "[CLS]",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
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-      "normalized": false,
-      "rstrip": false,
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-      "content": "[MASK]",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    }
-  },
-  "clean_up_tokenization_spaces": true,
-  "cls_token": "[CLS]",
-  "do_basic_tokenize": true,
-  "do_lower_case": false,
-  "mask_token": "[MASK]",
-  "model_max_length": 512,
-  "never_split": null,
-  "pad_token": "[PAD]",
-  "sep_token": "[SEP]",
-  "strip_accents": null,
-  "tokenize_chinese_chars": true,
-  "tokenizer_class": "BertTokenizer",
-  "unk_token": "[UNK]"
-}

pp_oficina_3_api/fine_tunned_model/training_args.bin

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pp_oficina_3_api/requirements.txt

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-gradio==3.39.0
-simpletransformers
-torch