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ynat-classifier – AI Model by nambaht | AlphaNeural AI
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ynat-classifier
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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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ynat-classifier
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: 2.1638
Accuracy: 0.0
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: 2e-05
train_batch_size: 16
eval_batch_size: 16
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
Framework versions
Transformers 5.14.1
Pytorch 2.13.0+cpu
Datasets 5.0.0
Tokenizers 0.22.2
