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--- |
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license: apache-2.0 |
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tags: |
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- text-classification |
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- generated_from_trainer |
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datasets: |
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- paws-x |
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metrics: |
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- accuracy |
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model-index: |
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- name: paws_x_m_bert_only_ko |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: paws-x |
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type: paws-x |
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config: ko |
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split: train |
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args: ko |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.8215 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# paws_x_m_bert_only_ko |
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This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the paws-x dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7649 |
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- Accuracy: 0.8215 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 128 |
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- eval_batch_size: 128 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.5446 | 1.0 | 386 | 0.4837 | 0.768 | |
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| 0.3443 | 2.0 | 772 | 0.4530 | 0.8125 | |
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| 0.258 | 3.0 | 1158 | 0.4496 | 0.8145 | |
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| 0.2023 | 4.0 | 1544 | 0.4944 | 0.81 | |
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| 0.1581 | 5.0 | 1930 | 0.5040 | 0.814 | |
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| 0.1263 | 6.0 | 2316 | 0.5937 | 0.8145 | |
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| 0.1041 | 7.0 | 2702 | 0.6578 | 0.8115 | |
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| 0.0828 | 8.0 | 3088 | 0.6841 | 0.8215 | |
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| 0.0697 | 9.0 | 3474 | 0.7239 | 0.82 | |
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| 0.0596 | 10.0 | 3860 | 0.7649 | 0.8215 | |
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### Framework versions |
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- Transformers 4.24.0 |
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- Pytorch 1.13.0 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.1 |
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