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qwen_power_system – AI Model by Mohd7777 | AlphaNeural AI
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Mohd7777
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qwen_power_system
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peft
safetensors
generated_from_trainer
Qwen/Qwen2.5-3B-Instruct
adapter
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qwen_power_system
This model is a fine-tuned version of
Qwen/Qwen2.5-3B-Instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.2052
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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT 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: 0.03
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.8696
1.3060
500
1.2052
Framework versions
PEFT 0.15.2
Transformers 4.52.4
Pytorch 2.11.0+cu128
Datasets 3.6.0
Tokenizers 0.21.4
