Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
xlm-roberta-base-finetuned-told-br – AI Model by joaollm | AlphaNeural AI
You can deploy this model and start earning money today!
joaollm
/
xlm-roberta-base-finetuned-told-br
like
0
tensorboard
safetensors
xlm-roberta
generated_from_trainer
told-br
FacebookAI/xlm-roberta-base
finetune
mit
model-index
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
xlm-roberta-base-finetuned-told-br
This model is a fine-tuned version of
xlm-roberta-base
on the told-br dataset. It achieves the following results on the evaluation set:
Loss: 0.4925
Accuracy: 0.7457
F1: 0.7452
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: 64
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.5935
1.0
263
0.4970
0.7338
0.7350
0.4797
2.0
526
0.4925
0.7457
0.7452
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1