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results – AI Model by hwany79 | AlphaNeural AI

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hwany79/
results

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text-classification

generated_from_trainer

klue/roberta-base

text-embeddings-inference

endpoints_compatible

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results

This model is a fine-tuned version of klue/roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.4900
eval_accuracy: 0.859
eval_runtime: 28.3353
eval_samples_per_second: 35.292
eval_steps_per_second: 4.411
epoch: 1.0
step: 1250

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1

Framework versions

Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1