add model

.gitignore

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+checkpoint-*/

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- conll2003
+model_index:
+- name: distilbert-base-uncased-squad2-with-ner
+  results:
+  - task:
+      name: Question Answering
+      type: question-answering
+    dataset:
+      name: conll2003
+      type: conll2003
+      args: conll2003
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# distilbert-base-uncased-squad2-with-ner
+
+This model is a fine-tuned version of [twmkn9/distilbert-base-uncased-squad2](https://huggingface.co/twmkn9/distilbert-base-uncased-squad2) on the conll2003 dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- train_batch_size: 32
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.8.2
+- Pytorch 1.8.1+cu111
+- Datasets 1.8.0
+- Tokenizers 0.10.3

config.json

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+{
+  "_name_or_path": "twmkn9/distilbert-base-uncased-squad2",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForQuestionAnswering"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "eos_token_ids": null,
+  "hidden_dim": 3072,
+  "initializer_range": 0.02,
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "output_past": true,
+  "pad_token_id": 0,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "transformers_version": "4.8.2",
+  "vocab_size": 30522
+}

log.log

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+Training dataset length: 
+18978
+Validation dataset length: 
+4625
+Test dataset length: 
+4566
+Current eval performance: 
+Evaluate results: 
+{'eval_exact': 37.68648648648649, 'eval_f1': 44.0549722409684, 'eval_total': 4625, 'eval_HasAns_exact': 37.68648648648649, 'eval_HasAns_f1': 44.0549722409684, 'eval_HasAns_total': 4625, 'eval_best_exact': 37.68648648648649, 'eval_best_exact_thresh': 0.0, 'eval_best_f1': 44.0549722409684, 'eval_best_f1_thresh': 0.0, 'eval_samples': 4625}
+Predict results: 
+{'test_exact': 35.129215943933424, 'test_f1': 42.10453725499187, 'test_total': 4566, 'test_HasAns_exact': 35.129215943933424, 'test_HasAns_f1': 42.10453725499187, 'test_HasAns_total': 4566, 'test_best_exact': 35.129215943933424, 'test_best_exact_thresh': 0.0, 'test_best_f1': 42.10453725499187, 'test_best_f1_thresh': 0.0, 'predict_samples': 4566}
+Best trial: 
+BestRun(run_id='1', objective=87.56834325824502, hyperparameters={'learning_rate': 5e-05, 'num_train_epochs': 5, 'per_device_train_batch_size': 16, 'warmup_steps': 0})

pytorch_model.bin

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special_tokens_map.json

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

tokenizer_config.json

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+{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "max_len": 512, "special_tokens_map_file": "/home/ec2-user/.cache/huggingface/transformers/1ca0b152f7e9e7bd279fded5ffd0930ddafcdc395cbebe37fee225d756a796d3.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d", "name_or_path": "twmkn9/distilbert-base-uncased-squad2", "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "DistilBertTokenizer"}

training_args.bin

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