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xlm-roberta-large-ner-mit-restaurant – AI Model by 0uz2z | AlphaNeural AI
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xlm-roberta-large-ner-mit-restaurant
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transformers
tensorboard
safetensors
xlm-roberta
token-classification
generated_from_trainer
FacebookAI/xlm-roberta-large
finetune
mit
autotrain_compatible
endpoints_compatible
us
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xlm-roberta-large-ner-mit-restaurant
This model is a fine-tuned version of
FacebookAI/xlm-roberta-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2878
Precision: 0.7946
Recall: 0.8163
F1: 0.8053
Accuracy: 0.9207
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: 8
eval_batch_size: 8
seed: 42
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
0.5719
1.0
863
0.3267
0.7623
0.7970
0.7793
0.9081
0.2467
2.0
1726
0.2783
0.7990
0.8195
0.8092
0.9191
0.1811
3.0
2589
0.2897
0.8129
0.8348
0.8237
0.9237
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
