Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
roberta-finetuned-ner-nergrit-8H-light – AI Model by mufathurrohman | AlphaNeural AI
You can deploy this model and start earning money today!
mufathurrohman
/
roberta-finetuned-ner-nergrit-8H-light
like
0
tensorboard
safetensors
xlm-roberta
generated_from_trainer
nergrit
FacebookAI/xlm-roberta-large
finetune
mit
model-index
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
roberta-finetuned-ner-nergrit-8H-light
This model is a fine-tuned version of
FacebookAI/xlm-roberta-large
on the nergrit dataset. It achieves the following results on the evaluation set:
Loss: 0.1130
Precision: 0.9810
Recall: 0.9811
F1: 0.9810
Accuracy: 0.9773
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
0.9994
392
0.1196
0.9793
0.9800
0.9796
0.9757
0.1919
1.9987
784
0.1048
0.9810
0.9814
0.9812
0.9775
0.0823
2.9981
1176
0.1130
0.9810
0.9811
0.9810
0.9773
Framework versions
Transformers 4.42.4
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1
