Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
XLMR-finetuned-SQuAD1 – AI Model by lielbin | AlphaNeural AI | AlphaNeural AI
You can deploy this model and start earning money today!
lielbin
/
XLMR-finetuned-SQuAD1
like
0
transformers
tensorboard
safetensors
xlm-roberta
question-answering
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
XLMR-finetuned-SQuAD1
This model is a fine-tuned version of
FacebookAI/xlm-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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.37.2
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2
