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model_distilbert_tokencls – AI Model by SeaniMoxxu | AlphaNeural AI
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SeaniMoxxu
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model_distilbert_tokencls
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transformers
safetensors
distilbert
token-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
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model_distilbert_tokencls
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1072
Precision: 0.8246
Recall: 0.8624
F1: 0.8430
Accuracy: 0.9843
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: 32
eval_batch_size: 64
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: cosine
lr_scheduler_warmup_ratio: 0.06
num_epochs: 100
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.57.0
Pytorch 2.8.0+cu129
Datasets 4.2.0
Tokenizers 0.22.0
