metadata

license: apache-2.0
base_model: cl-tohoku/bert-base-japanese-v3
tags:
  - generated_from_trainer
model-index:
  - name: isekai-bert-v1
    results: []
language:
  - ja
library_name: transformers
widget:
  - text: 異世界に[MASK]する
    example_title: 例1
  - text: '[MASK]者ギルドへ向かう'
    example_title: 例2
  - text: あの美少女は俺の[MASK]である
    example_title: 例3

isekai-bert-v1

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: 1.9164

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: 0.0005
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: cosine
lr_scheduler_warmup_steps: 500
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
2.9144	0.06	1000	2.6322
3.0793	0.13	2000	2.7752
3.0591	0.19	3000	2.8336
2.972	0.26	4000	2.9084
2.9967	0.32	5000	2.8845
2.9489	0.38	6000	2.7112
2.8639	0.45	7000	2.7209
2.8355	0.51	8000	2.6684
2.8162	0.58	9000	2.6209
2.7648	0.64	10000	2.5749
2.6663	0.7	11000	2.5231
2.6451	0.77	12000	2.4754
2.6041	0.83	13000	2.4279
2.5306	0.9	14000	2.3829
2.4765	0.96	15000	2.3137
2.3899	1.02	16000	2.3052
2.3681	1.09	17000	2.2123
2.2821	1.15	18000	2.1934
2.2288	1.22	19000	2.1399
2.1858	1.28	20000	2.0922
2.1964	1.34	21000	2.0689
2.1419	1.41	22000	2.0357
2.1011	1.47	23000	2.0327
2.039	1.54	24000	1.9853
2.0284	1.6	25000	1.9778
2.0253	1.66	26000	1.9869
2.0292	1.73	27000	1.9494
2.0016	1.79	28000	1.9158
2.0387	1.86	29000	1.9778
1.9679	1.92	30000	1.9171
2.0441	1.98	31000	1.9164

Framework versions

Transformers 4.34.0
Pytorch 2.0.0+cu118
Datasets 2.14.5
Tokenizers 0.14.0