Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
xlm-roberta-base-finetuned-DS_Q_N_C_Scored-sim-0.99 – AI Model by Z-Jafari | AlphaNeural AI
You can deploy this model and start earning money today!
Z-Jafari
/
xlm-roberta-base-finetuned-DS_Q_N_C_Scored-sim-0.99
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
xlm-roberta-base-finetuned-DS_Q_N_C_Scored-sim-0.99
This model is a fine-tuned version of
FacebookAI/xlm-roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9029
{'exact_match': 80.6, 'f1': 83.76949096225408}
augmented dataset: 12977 rows
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.7748
1.0
2312
0.9048
0.5473
2.0
4624
0.8848
0.4052
3.0
6936
0.9029
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
