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roberta-base-bne-ner-1epochs – AI Model by MiniX16 | AlphaNeural AI
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MiniX16
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roberta-base-bne-ner-1epochs
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transformers
safetensors
roberta
token-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
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roberta-base-bne-ner-1epochs
This model is a fine-tuned version of
models/roberta-base-bne
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0707
Precision: 0.8686
Recall: 0.8787
F1: 0.8736
Accuracy: 0.9806
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: 32
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1.0
Training results
Framework versions
Transformers 4.51.3
Pytorch 2.7.0+cu128
Datasets 3.6.0
Tokenizers 0.21.1
