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s_em_mlm_roberta – AI Model by gokulsrinivasagan | AlphaNeural AI
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s_em_mlm_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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s_em_mlm_roberta
This model is a fine-tuned version of
FacebookAI/roberta-base
on the None 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: 0.0001
train_batch_size: 120
eval_batch_size: 120
seed: 10
optimizer: Use 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: 10000
num_epochs: 25
Training results
Framework versions
Transformers 4.46.1
Pytorch 2.6.0+cu124
Datasets 3.1.0
Tokenizers 0.20.3
