metadata

license: cc-by-sa-4.0
base_model: cl-tohoku/bert-base-japanese
tags:
  - generated_from_trainer
model-index:
  - name: bert-base-japanese-gs_test
    results: []

bert-base-japanese-gs_test

This model is a fine-tuned version of cl-tohoku/bert-base-japanese on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 2.4690
eval_accuracy: 0.4104
eval_f1: 0.4129
eval_runtime: 55.6274
eval_samples_per_second: 31.711
eval_steps_per_second: 3.973
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-05
train_batch_size: 8
eval_batch_size: 8
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