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dummy_model_output – AI Model by ZidanAf | AlphaNeural AI
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dummy_model_output
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
indolem/indobert-base-uncased
finetune
mit
autotrain_compatible
endpoints_compatible
us
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dummy_model_output
This model is a fine-tuned version of
indolem/indobert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6547
Accuracy: 0.7333
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: 4
eval_batch_size: 4
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
No log
1.0
100
0.7257
0.6556
No log
2.0
200
0.6547
0.7333
Framework versions
Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
