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qwen2-1.5B-HelpSteer – AI Model by huynd | AlphaNeural AI | AlphaNeural AI

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huynd/
qwen2-1.5B-HelpSteer

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outputs

This model is a fine-tuned version of unsloth/qwen2-1.5b-bnb-4bit 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: 5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 3407
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 20
training_steps: 120
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.12.0
Transformers 4.44.0
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1