Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
cultural_heritage_metadata_accuracy_mnli – AI Model by davanstrien | AlphaNeural AI
You can deploy this model and start earning money today!
davanstrien
/
cultural_heritage_metadata_accuracy_mnli
like
0
transformers
pytorch
tensorboard
safetensors
xlm-roberta
text-classification
generated_from_trainer
biglam/cultural_heritage_metadata_accuracy
FacebookAI/xlm-roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
cultural_heritage_metadata_accuracy_mnli
This model is a fine-tuned version of
xlm-roberta-base
on the cultural_heritage_metadata_accuracy 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: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.25.0.dev0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.2
