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XLM-Roberta-base-all_hi_weakdap_4th_iteration_d4-hq – AI Model by ShivamMangale | AlphaNeural AI
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ShivamMangale
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XLM-Roberta-base-all_hi_weakdap_4th_iteration_d4-hq
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transformers
pytorch
xlm-roberta
question-answering
generated_from_trainer
squad
FacebookAI/xlm-roberta-base
finetune
mit
endpoints_compatible
us
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XLM-Roberta-base-all_hi_weakdap_4th_iteration_d4-hq
This model is a fine-tuned version of
xlm-roberta-base
on the squad 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: 1.4580000000000001e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8
Training results
Framework versions
Transformers 4.33.2
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3
