End of training

README.md

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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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