metadata

license: apache-2.0
base_model: line-corporation/line-distilbert-base-japanese
tags:
  - generated_from_trainer
model-index:
  - name: fluency-score-classification-ja
    results: []

fluency-score-classification-ja

This model is a fine-tuned version of line-corporation/line-distilbert-base-japanese on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5616
Roc Auc: 0.9615

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: 8
eval_batch_size: 8
seed: 42
distributed_type: tpu
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	Roc Auc
No log	1.0	175	0.5897	0.9561
No log	2.0	350	0.5616	0.9615

Framework versions

Transformers 4.34.0
Pytorch 2.0.0+cu118
Datasets 2.14.5
Tokenizers 0.14.0