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sparse-roberta – AI Model by PathFinderKR | AlphaNeural AI
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sparse-roberta
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transformers
safetensors
roberta
fill-mask
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
endpoints_compatible
us
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sparse-roberta
This model is a fine-tuned version of
roberta-base
on an unknown dataset.
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 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: 1000
training_steps: 10000
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.53.3
Pytorch 2.7.0+cu126
Datasets 4.8.4
Tokenizers 0.21.4
