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---
license: cc-by-sa-4.0
base_model: cl-tohoku/bert-base-japanese
tags:
- generated_from_trainer
model-index:
- name: bert-base-japanese-ghost_rate
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. -->
# bert-base-japanese-ghost_rate
This model is a fine-tuned version of [cl-tohoku/bert-base-japanese](https://huggingface.co/cl-tohoku/bert-base-japanese) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.9334
- eval_accuracy: 0.2259
- eval_runtime: 24.3951
- eval_samples_per_second: 31.933
- eval_steps_per_second: 2.009
- step: 0
## 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-07
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
### Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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