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jutsu_classifier – AI Model by Falcon888 | AlphaNeural AI | AlphaNeural AI
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jutsu_classifier
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safetensors
distilbert
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
us
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Model card
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results
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8697
Accuracy: 0.8817
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: 0.0002
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.9803
1.0
254
1.0897
0.8836
0.9664
2.0
508
0.9088
0.8540
0.9575
3.0
762
0.7617
0.8363
0.8724
4.0
1016
0.9282
0.8738
0.9143
5.0
1270
0.8697
0.8817
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
