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asn-ner-aerobert – AI Model by theophilusowiti | AlphaNeural AI
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asn-ner-aerobert
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transformers
safetensors
bert
token-classification
generated_from_trainer
NASA-AIML/MIKA_SafeAeroBERT
finetune
other
endpoints_compatible
us
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asn-ner-aerobert
This model is a fine-tuned version of
NASA-AIML/MIKA_SafeAeroBERT
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0480
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: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.0938
1.0
1179
0.0612
0.0654
2.0
2358
0.0511
0.0520
3.0
3537
0.0480
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
