Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
xlm-roberta-base-finetuned-panx-de – AI Model by dfsj | AlphaNeural AI
You can deploy this model and start earning money today!
dfsj
/
xlm-roberta-base-finetuned-panx-de
like
0
transformers
pytorch
xlm-roberta
token-classification
generated_from_trainer
xtreme
mit
model-index
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of
xlm-roberta-base
on the xtreme dataset. It achieves the following results on the evaluation set:
Loss: 0.1326
F1: 0.8675
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: 5e-05
train_batch_size: 24
eval_batch_size: 24
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
F1
0.2654
1.0
525
0.1745
0.8133
0.1317
2.0
1050
0.1428
0.8427
0.0823
3.0
1575
0.1326
0.8675
Framework versions
Transformers 4.18.0
Pytorch 1.10.0+cu102
Datasets 2.0.0
Tokenizers 0.12.1
