Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
xlm-roberta-base-finetuned-squad – AI Model by SummerZhang | AlphaNeural AI
You can deploy this model and start earning money today!
SummerZhang
/
xlm-roberta-base-finetuned-squad
like
0
transformers
pytorch
tensorboard
xlm-roberta
question-answering
generated_from_trainer
squad_v2
mit
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
xlm-roberta-base-finetuned-squad
This model is a fine-tuned version of
xlm-roberta-base
on the squad_v2 dataset. It achieves the following results on the evaluation set:
Loss: 0.9438
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.0529
1.0
8333
0.9355
0.8237
2.0
16666
0.9124
0.6552
3.0
24999
0.9438
Framework versions
Transformers 4.24.0
Pytorch 1.11.0+cu113
Datasets 2.7.1
Tokenizers 0.13.2
