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qwen2.5-swebench-2025-10-20_17.43.40 – AI Model by Hamza66628 | AlphaNeural AI
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Hamza66628
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qwen2.5-swebench-2025-10-20_17.43.40
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peft
safetensors
trl
sft
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Qwen/Qwen2.5-7B-Instruct
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apache-2.0
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qwen2.5-swebench-2025-10-20_17.43.40
This model is a fine-tuned version of
Qwen/Qwen2.5-7B-Instruct
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: 0.0005
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use OptimizerNames.PAGED_ADAMW 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: 0.1
num_epochs: 1
Framework versions
PEFT 0.14.0
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.2
