End of training

README.md

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+---
+license: apache-2.0
+base_model: cl-tohoku/bert-base-japanese-v3
+tags:
+- generated_from_trainer
+model-index:
+- name: review_classification_bert_base_jp_v3_ratio1_5_add_dropout-epoch30_v2
+  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. -->
+
+# review_classification_bert_base_jp_v3_ratio1_5_add_dropout-epoch30_v2
+
+This model is a fine-tuned version of [cl-tohoku/bert-base-japanese-v3](https://huggingface.co/cl-tohoku/bert-base-japanese-v3) on the None dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 1.2544
+- eval_accuracy: 0.6484
+- eval_runtime: 15.8763
+- eval_samples_per_second: 56.247
+- eval_steps_per_second: 3.527
+- epoch: 8.0
+- step: 1048
+
+## 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: 1e-05
+- 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: 30
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

model.safetensors

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