Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
murat_nerscratch_1803modeli – AI Model by muratti18462 | AlphaNeural AI
You can deploy this model and start earning money today!
muratti18462
/
murat_nerscratch_1803modeli
like
0
transformers
tensorboard
safetensors
deberta-v2
token-classification
generated_from_trainer
microsoft/deberta-v3-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
murat_nerscratch_1803modeli
This model is a fine-tuned version of
microsoft/deberta-v3-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0129
Precision: 0.9942
Recall: 0.9926
F1: 0.9934
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-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
0.8054
1.0
9906
0.0160
0.9916
0.9899
0.9907
0.0545
2.0
19812
0.0129
0.9942
0.9926
0.9934
Framework versions
Transformers 4.44.2
Pytorch 2.3.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1
