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ja

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ja

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.9466

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	1326	1.2739
No log	2.0	2652	1.1404
No log	3.0	3978	1.0791
No log	4.0	5304	1.0383
No log	5.0	6630	1.0098
No log	6.0	7956	0.9905
No log	7.0	9282	0.9690
1.1782	8.0	10608	0.9614
1.1782	9.0	11934	0.9519
1.1782	10.0	13260	0.9464

Framework versions

Transformers 4.28.1
Pytorch 1.13.0+cu117
Datasets 2.11.0
Tokenizers 0.11.6

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Evaluation results

Metadata error: specify a dataset to view leaderboard