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results – AI Model by leenouse | AlphaNeural AI
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transformers
safetensors
roberta
text-classification
generated_from_trainer
klue/roberta-base
finetune
text-embeddings-inference
endpoints_compatible
us
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This model is a fine-tuned version of
klue/roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7002
Accuracy: 0.8354
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
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.4594
1.0
5710
0.7002
0.8354
Framework versions
Transformers 4.57.1
Pytorch 2.9.0+cu128
Datasets 4.4.1
Tokenizers 0.22.1
