update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- custom_squad_v2
+model-index:
+- name: tunelectra-pure2-2882482
+  results: []
+---
+
+<!-- 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. -->
+
+# tunelectra-pure2-2882482
+
+This model is a fine-tuned version of [tunib/electra-ko-en-base](https://huggingface.co/tunib/electra-ko-en-base) on the custom_squad_v2 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.1344
+
+## 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: 128
+- eval_batch_size: 128
+- seed: 2
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 1024
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 0.94  | 10   | 5.1171          |
+| No log        | 1.94  | 20   | 4.3838          |
+| No log        | 2.94  | 30   | 4.1344          |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.13.1
+- Datasets 2.8.0
+- Tokenizers 0.13.2