update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- text-classification
+- generated_from_trainer
+datasets:
+- paws-x
+metrics:
+- accuracy
+model-index:
+- name: paws_x_m_bert_only_ko
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: paws-x
+      type: paws-x
+      config: ko
+      split: train
+      args: ko
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8215
+---
+
+<!-- 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. -->
+
+# paws_x_m_bert_only_ko
+
+This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the paws-x dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7649
+- Accuracy: 0.8215
+
+## 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: 128
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5446        | 1.0   | 386  | 0.4837          | 0.768    |
+| 0.3443        | 2.0   | 772  | 0.4530          | 0.8125   |
+| 0.258         | 3.0   | 1158 | 0.4496          | 0.8145   |
+| 0.2023        | 4.0   | 1544 | 0.4944          | 0.81     |
+| 0.1581        | 5.0   | 1930 | 0.5040          | 0.814    |
+| 0.1263        | 6.0   | 2316 | 0.5937          | 0.8145   |
+| 0.1041        | 7.0   | 2702 | 0.6578          | 0.8115   |
+| 0.0828        | 8.0   | 3088 | 0.6841          | 0.8215   |
+| 0.0697        | 9.0   | 3474 | 0.7239          | 0.82     |
+| 0.0596        | 10.0  | 3860 | 0.7649          | 0.8215   |
+
+
+### Framework versions
+
+- Transformers 4.24.0
+- Pytorch 1.13.0
+- Datasets 2.6.1
+- Tokenizers 0.13.1