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push_to_hub 로컬 문제로 손수 업로드

.gitignore

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+checkpoint-*/

README.md

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+---
+license: cc-by-sa-4.0
+tags:
+- generated_from_trainer
+datasets:
+- klue
+metrics:
+- pearsonr
+model-index:
+- name: bert-base-finetuned-sts-v3
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: klue
+      type: klue
+      config: sts
+      split: train
+      args: sts
+    metrics:
+    - name: Pearsonr
+      type: pearsonr
+      value: 0.9172194083849969
+---
+
+<!-- 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. -->
+
+# bert-base-finetuned-sts-v3
+
+This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on the klue dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3716
+- Pearsonr: 0.9172
+
+## 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: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Pearsonr |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.2265        | 1.0   | 2917  | 0.4886          | 0.8933   |
+| 0.1504        | 2.0   | 5834  | 0.4374          | 0.8948   |
+| 0.0982        | 3.0   | 8751  | 0.5246          | 0.8957   |
+| 0.0832        | 4.0   | 11668 | 0.4387          | 0.9006   |
+| 0.0751        | 5.0   | 14585 | 0.4036          | 0.9049   |
+| 0.0564        | 6.0   | 17502 | 0.3828          | 0.9133   |
+| 0.0488        | 7.0   | 20419 | 0.3716          | 0.9172   |
+| 0.0384        | 8.0   | 23336 | 0.4060          | 0.9093   |
+| 0.0365        | 9.0   | 26253 | 0.3939          | 0.9065   |
+| 0.0319        | 10.0  | 29170 | 0.3953          | 0.9106   |
+| 0.0262        | 11.0  | 32087 | 0.3885          | 0.9109   |
+| 0.0219        | 12.0  | 35004 | 0.3724          | 0.9154   |
+| 0.0188        | 13.0  | 37921 | 0.3827          | 0.9111   |
+| 0.0175        | 14.0  | 40838 | 0.4103          | 0.9099   |
+| 0.0144        | 15.0  | 43755 | 0.3768          | 0.9152   |
+| 0.0132        | 16.0  | 46672 | 0.3868          | 0.9151   |
+| 0.0125        | 17.0  | 49589 | 0.3981          | 0.9103   |
+| 0.0106        | 18.0  | 52506 | 0.3808          | 0.9138   |
+| 0.0095        | 19.0  | 55423 | 0.3904          | 0.9128   |
+| 0.0089        | 20.0  | 58340 | 0.3885          | 0.9137   |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.13.0
+- Datasets 2.7.1
+- Tokenizers 0.13.2

config.json

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+{
+  "_name_or_path": "klue/bert-base",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0
+  },
+  "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",
+  "problem_type": "regression",
+  "torch_dtype": "float32",
+  "transformers_version": "4.25.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 32000
+}

pytorch_model.bin

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special_tokens_map.json

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

tokenizer_config.json

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+{
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "name_or_path": "klue/bert-base",
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "special_tokens_map_file": "C:\\Users\\indj/.cache\\huggingface\\hub\\models--klue--bert-base\\snapshots\\34b965303f98bc5214daca7f76b7fb82d2dc6183\\special_tokens_map.json",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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