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openshift-tests-private-clusterinfrastructure-epoch10-2025-Mar-27 – AI Model by taguser | AlphaNeural AI
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openshift-tests-private-clusterinfrastructure-epoch10-2025-Mar-27
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Qwen/Qwen2.5-Coder-14B-Instruct
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This model is a fine-tuned version of
Qwen/Qwen2.5-Coder-14B-Instruct
on the openshift-tests-private-clusterinfrastructure 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: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 16
total_train_batch_size: 32
total_eval_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10
Training results
Framework versions
PEFT 0.15.0
Transformers 4.50.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.0
