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ayame-1 – AI Model by wnic00 | AlphaNeural AI
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ayame-1
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa
finetune
mit
autotrain_compatible
endpoints_compatible
us
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ayame-1
This model is a fine-tuned version of
ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.0197
Accuracy: 0.4981
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.9951
1.0
3754
0.9961
0.4849
0.9163
2.0
7508
1.0197
0.4981
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cpu
Datasets 2.14.4
Tokenizers 0.13.0
