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indonesian-mdeberta-v3-base-company-reputation – AI Model by elidle | AlphaNeural AI
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indonesian-mdeberta-v3-base-company-reputation
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transformers
safetensors
deberta-v2
text-classification
generated_from_trainer
microsoft/mdeberta-v3-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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model6_sent
This model is a fine-tuned version of
microsoft/mdeberta-v3-base
on an unknown dataset. It achieves the following results on the evaluation set:
Accuracy: 0.8398
F1: 0.8373
Loss: 0.8926
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Accuracy
F1
Validation Loss
0.6865
1.0
13660
0.8090
0.8134
0.7036
0.7389
2.0
27320
0.8335
0.8268
0.8523
0.5865
3.0
40980
0.8398
0.8373
0.8926
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2
