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

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cwei13/
bert-base-japanese-ghost_rate

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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

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: 1.8997
Accuracy: 0.2234

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-07
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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	441	1.8997	0.2234
1.9362	2.0	882	1.8844	0.2234
1.9011	3.0	1323	1.8772	0.2234
1.8889	4.0	1764	1.8714	0.2234
1.8829	5.0	2205	1.8672	0.2234
1.8777	6.0	2646	1.8631	0.2234
1.8761	7.0	3087	1.8601	0.2234
1.8705	8.0	3528	1.8576	0.2234
1.8705	9.0	3969	1.8561	0.2234
1.8678	10.0	4410	1.8556	0.2234

Framework versions

Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1