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xlm-roberta-base-finetuned-pquad-2 – AI Model by kianshokraneh | AlphaNeural AI
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xlm-roberta-base-finetuned-pquad-2
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tensorboard
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xlm-roberta
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kianshokraneh/xlm-roberta-base-finetuned-pquad
finetune
mit
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xlm-roberta-base-finetuned-pquad-2
This model is a fine-tuned version of
keeyansh/xlm-roberta-base-finetuned-pquad
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 1.2167
eval_runtime: 125.0588
eval_samples_per_second: 63.922
eval_steps_per_second: 1.999
step: 0
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: 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: 10
Framework versions
Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1
