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DEBATE_Support_Jan21 – AI Model by zkava01 | AlphaNeural AI

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zkava01/
DEBATE_Support_Jan21

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text-classification

generated_from_trainer

mlburnham/Political_DEBATE_DeBERTa_large_v1.1

text-embeddings-inference

endpoints_compatible

Views

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few_shot

This model is a fine-tuned version of mlburnham/Political_DEBATE_DeBERTa_large_v1.1 on the None 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: 9e-06
train_batch_size: 1
eval_batch_size: 16
seed: 1
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
lr_scheduler_warmup_ratio: 0.06
num_epochs: 5

Training results

Framework versions

Transformers 4.57.6
Pytorch 2.9.1+cu128
Datasets 4.5.0
Tokenizers 0.22.2