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--- |
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license: apache-2.0 |
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base_model: cl-tohoku/bert-large-japanese-v2 |
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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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- f1 |
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model-index: |
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- name: bert-large-japanease-v2-gpt4-relevance-learned |
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results: [] |
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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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# bert-large-japanease-v2-gpt4-relevance-learned |
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This model is a fine-tuned version of [cl-tohoku/bert-large-japanese-v2](https://huggingface.co/cl-tohoku/bert-large-japanese-v2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.1789 |
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- Accuracy: 0.196 |
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- F1: 0.1399 |
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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: 8 |
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- eval_batch_size: 8 |
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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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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 3.5154 | 1.0 | 1125 | 3.4451 | 0.146 | 0.0567 | |
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| 3.2778 | 2.0 | 2250 | 3.1801 | 0.197 | 0.0963 | |
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| 3.0802 | 3.0 | 3375 | 3.1374 | 0.174 | 0.1120 | |
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| 2.8756 | 4.0 | 4500 | 3.1239 | 0.191 | 0.1230 | |
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| 2.6657 | 5.0 | 5625 | 3.1789 | 0.196 | 0.1399 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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