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deepset_roberta_test_5 – AI Model by Mili-Chauhan-22 | AlphaNeural AI
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Mili-Chauhan-22
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deepset_roberta_test_5
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transformers
safetensors
roberta
question-answering
generated_from_trainer
deepset/roberta-base-squad2
finetune
cc-by-4.0
endpoints_compatible
us
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deepset_roberta_test_5
This model is a fine-tuned version of
deepset/roberta-base-squad2
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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
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
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.0
