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xlm-roberta-base-MK-Custom-NER – AI Model by muralik0115 | AlphaNeural AI
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xlm-roberta-base-MK-Custom-NER
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transformers
safetensors
xlm-roberta
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
endpoints_compatible
us
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xlm-roberta-base-MK-Custom-NER
This model is a fine-tuned version of
xlm-roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0920
F1: 0.8337
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: 24
eval_batch_size: 24
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
0.1314
1.0
1599
0.0920
0.8337
Framework versions
Transformers 4.39.3
Pytorch 2.3.0
Datasets 2.19.0
Tokenizers 0.15.2
