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results – AI Model by danielyoo | AlphaNeural AI

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danielyoo/
results

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token-classification

generated_from_trainer

distilbert/distilroberta-base

autotrain_compatible

endpoints_compatible

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results

This model is a fine-tuned version of distilbert/distilroberta-base on an unknown dataset.

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: 1.5e-05
train_batch_size: 40
eval_batch_size: 40
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
num_epochs: 12

Training results

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.6.0
Tokenizers 0.21.0