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japanese-roberta-base-finetuned-wikitext2 – AI Model by Roy029 | AlphaNeural AI
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Roy029
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japanese-roberta-base-finetuned-wikitext2
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transformers
pytorch
tensorboard
roberta
fill-mask
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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japanese-roberta-base-finetuned-wikitext2
This model is a fine-tuned version of
rinna/japanese-roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.2302
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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
18
3.4128
No log
2.0
36
3.1374
No log
3.0
54
3.2285
Framework versions
Transformers 4.12.3
Pytorch 1.9.0+cu111
Datasets 1.15.1
Tokenizers 0.10.3
