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klue-roberta-base-nli-stage2 – AI Model by serize | AlphaNeural AI
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serize
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klue-roberta-base-nli-stage2
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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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klue-roberta-base-nli-stage2
This model is a fine-tuned version of
klue/roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5985
Accuracy: 0.86
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
lr_scheduler_warmup_steps: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.4494
1.0
1563
0.4498
0.838
0.2826
2.0
3126
0.5092
0.8473
0.1520
3.0
4689
0.5985
0.86
Framework versions
Transformers 5.0.0
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
