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RSAVAV_FNSQ_CLF – AI Model by ychu612 | AlphaNeural AI

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ychu612/
RSAVAV_FNSQ_CLF

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text-classification

generated_from_trainer

yikuan8/Clinical-Longformer

autotrain_compatible

endpoints_compatible

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RSAVAV_FNSQ_CLF

This model is a fine-tuned version of yikuan8/Clinical-Longformer 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: 2e-05
train_batch_size: 32
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 3
total_train_batch_size: 96
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 8
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1