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cuda-rocm-repair – AI Model by Arnab-Afk | AlphaNeural AI

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Arnab-Afk/
cuda-rocm-repair

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Qwen/Qwen2.5-Coder-7B-Instruct

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cuda-rocm-repair

This model is a fine-tuned version of Qwen/Qwen2.5-Coder-7B-Instruct on the generator 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: 0.0002
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 5

Training results

Framework versions

PEFT 0.12.0
Transformers 4.45.0
Pytorch 2.5.1+cu121
Datasets 2.21.0
Tokenizers 0.20.3