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--- |
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license: cc-by-sa-4.0 |
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base_model: tohoku-nlp/bert-base-japanese |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: test_trainer |
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results: [] |
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pipeline_tag: text-classification |
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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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# test_trainer |
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This model is a fine-tuned version of [tohoku-nlp/bert-base-japanese](https://huggingface.co/tohoku-nlp/bert-base-japanese) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4615 |
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- Accuracy: 0.622 |
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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: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 64 |
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- total_train_batch_size: 256 |
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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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- num_epochs: 3 |
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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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| 0.9223 | 0.768 | 3 | 1.4789 | 0.594 | |
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| 0.6137 | 1.792 | 7 | 1.4612 | 0.614 | |
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| 0.3536 | 2.304 | 9 | 1.4615 | 0.622 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
