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pizza-ner – AI Model by Ratansingh648 | AlphaNeural AI
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Ratansingh648
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pizza-ner
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transformers
tensorboard
safetensors
xlm-roberta
generated_from_trainer
token-classification
FacebookAI/xlm-roberta-base
finetune
mit
endpoints_compatible
us
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pizza-ner
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: 0.0028
F1: 0.9990
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.0116
1.0
10468
0.0028
0.9990
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
