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flightctl-epoch20-2025-Jun-15 – AI Model by taguser | AlphaNeural AI
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flightctl-epoch20-2025-Jun-15
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peft
safetensors
llama-factory
lora
generated_from_trainer
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 training_dataset 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: 3
gradient_accumulation_steps: 16
total_train_batch_size: 48
total_eval_batch_size: 24
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: 20
Training results
Framework versions
PEFT 0.15.1
Transformers 4.51.0
Pytorch 2.7.0+cu126
Datasets 3.5.0
Tokenizers 0.21.1
