add model

.gitignore

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+checkpoint-*/

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- squad_kor_v1
+model-index:
+- name: koelectra-base-discriminator-finetuned-squad_kor_v1
+  results:
+  - task:
+      name: Question Answering
+      type: question-answering
+    dataset:
+      name: squad_kor_v1
+      type: squad_kor_v1
+      args: squad_kor_v1
+---
+
+<!-- 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. -->
+
+# koelectra-base-discriminator-finetuned-squad_kor_v1
+
+This model is a fine-tuned version of [monologg/koelectra-base-discriminator](https://huggingface.co/monologg/koelectra-base-discriminator) on the squad_kor_v1 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5589
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.5774        | 1.0   | 4025 | 0.5589          |
+
+
+### Framework versions
+
+- Transformers 4.10.2
+- Pytorch 1.9.0+cu102
+- Datasets 1.11.0
+- Tokenizers 0.10.3

config.json

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+{
+  "_name_or_path": "monologg/koelectra-base-discriminator",
+  "architectures": [
+    "ElectraForQuestionAnswering"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "embedding_size": 768,
+  "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": "electra",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "summary_activation": "gelu",
+  "summary_last_dropout": 0.1,
+  "summary_type": "first",
+  "summary_use_proj": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.10.2",
+  "type_vocab_size": 2,
+  "vocab_size": 32200
+}

pytorch_model.bin

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special_tokens_map.json

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tokenizer_config.json

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training_args.bin

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