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temp_eval_dir – AI Model by dongsoo1219 | AlphaNeural AI

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dongsoo1219/
temp_eval_dir

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text-classification

generated_from_trainer

klue/roberta-base

endpoints_compatible

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temp_eval_dir

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: 0.4927
eval_model_preparation_time: 0.0025
eval_accuracy: 0.837
eval_runtime: 27.3359
eval_samples_per_second: 36.582
eval_steps_per_second: 4.573
epoch: 0
step: 0

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: 3.0

Framework versions

Transformers 5.8.1
Pytorch 2.10.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2