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klue-roberta-small-nli – AI Model by serize | AlphaNeural AI
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klue-roberta-small-nli
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transformers
safetensors
roberta
text-classification
generated_from_trainer
klue/roberta-small
finetune
text-embeddings-inference
endpoints_compatible
us
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klue-roberta-small-nli
This model is a fine-tuned version of
klue/roberta-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5863
Accuracy: 0.7773
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: 32
eval_batch_size: 32
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.7404
1.0
782
0.5979
0.764
0.4115
2.0
1564
0.5863
0.7773
Framework versions
Transformers 5.9.0
Pytorch 2.11.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2
