metadata

tags:
  - generated_from_trainer
  - retnet
model-index:
  - name: kakuyomu-retnet-300m-1
    results: []
license: mit
language:
  - ja
inference: false

LightNovel-Intro-RetNet-400M

This model is a RetNet model trained from scratch using https://github.com/syncdoth/RetNet.

Demo: https://huggingface.co/spaces/p1atdev/LightNovel-Intro-RetNet-400M-Demo

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: 0.0006
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
5.5155	0.06	1000	5.5331
5.0106	0.13	2000	5.1774
4.793	0.19	3000	4.9399
4.7078	0.26	4000	4.7737
4.4789	0.32	5000	4.6373
4.3269	0.38	6000	4.5422
4.337	0.45	7000	4.4632
4.374	0.51	8000	4.4070
4.1447	0.58	9000	4.3293
4.1402	0.64	10000	4.2881
4.1329	0.7	11000	4.2287
3.9985	0.77	12000	4.1858
4.1185	0.83	13000	4.1506
4.0515	0.9	14000	4.0993
3.9984	0.96	15000	4.0611
3.7731	1.02	16000	4.0423
3.7403	1.09	17000	3.8166
3.6778	1.15	18000	3.8000
3.7227	1.22	19000	3.7875
3.6051	1.28	20000	3.7664
3.6143	1.34	21000	3.7496
3.6323	1.41	22000	3.7278
3.6487	1.47	23000	3.7089
3.6524	1.54	24000	3.6951
3.5621	1.6	25000	3.6801
3.5722	1.66	26000	3.6708
3.5277	1.73	27000	3.6635
3.6224	1.79	28000	3.6565
3.5663	1.85	29000	3.6532
3.5937	1.92	30000	3.6515
3.5944	1.98	31000	3.6510

Framework versions

Transformers 4.34.0
Pytorch 2.0.0+cu118
Datasets 2.14.5
Tokenizers 0.14.0