Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
roberta_base_finetuned_ontonotes_weighted_CE_loss – AI Model by filippo-baglini | AlphaNeural AI
You can deploy this model and start earning money today!
filippo-baglini
/
roberta_base_finetuned_ontonotes_weighted_CE_loss
like
0
transformers
safetensors
roberta
token-classification
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
roberta_base_finetuned_ontonotes_weighted_CE_loss
This model is a fine-tuned version of
roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0845
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: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.3966
1.0
1873
0.0947
0.0736
2.0
3746
0.0861
0.0522
3.0
5619
0.0845
Framework versions
Transformers 4.51.1
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.0
