bert-base-japanese-ghost_rate-weighted-0605 – AI Model by cwei13 | AlphaNeural AI

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cwei13/
bert-base-japanese-ghost_rate-weighted-0605

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text-classification

generated_from_trainer

tohoku-nlp/bert-base-japanese

autotrain_compatible

endpoints_compatible

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bert-base-japanese-ghost_rate-weighted-0605

This model is a fine-tuned version of cl-tohoku/bert-base-japanese on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.4588
Accuracy: 0.4300
F1: 0.3863

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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	0.9980	253	1.5043	0.2988	0.2334
1.5403	2.0	507	1.4588	0.4300	0.3863
1.5403	2.9980	760	1.4944	0.3984	0.3676
1.1252	4.0	1014	1.5833	0.4103	0.3885
1.1252	4.9980	1267	1.6723	0.4024	0.3889
0.7911	6.0	1521	1.8026	0.4083	0.3978
0.7911	6.9980	1774	1.9235	0.3984	0.3910
0.5514	8.0	2028	2.0213	0.3955	0.4014
0.5514	8.9980	2281	2.0726	0.4034	0.4096
0.4123	9.9803	2530	2.1018	0.4034	0.4074

Framework versions

Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1