metadata

license: apache-2.0
base_model: cl-tohoku/bert-base-japanese-v3
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: jp-speech-classifier
    results: []

jp-speech-classifier

This model is a fine-tuned version of cl-tohoku/bert-base-japanese-v3 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.1895
Accuracy: 0.7053

Model description

something

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: 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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	72	1.1048	0.6772
No log	2.0	144	1.1895	0.7053

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.13.3