Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
xlm_roberta_base_ft – AI Model by dariast | AlphaNeural AI
You can deploy this model and start earning money today!
dariast
/
xlm_roberta_base_ft
like
0
transformers
safetensors
xlm-roberta
token-classification
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
xlm_roberta_base_ft
This model is a fine-tuned version of
xlm-roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4203
Precision: 0.6701
Recall: 0.4324
F1: 0.5256
Accuracy: 0.8144
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.4665
1.0
430
0.4126
0.6383
0.4902
0.5545
0.8127
0.3903
2.0
860
0.4203
0.6701
0.4324
0.5256
0.8144
Framework versions
Transformers 4.48.3
Pytorch 2.6.0+cu124
Datasets 3.2.0
Tokenizers 0.21.0
