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fbd-control-logic-lora – AI Model by KunjanAI | AlphaNeural AI
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KunjanAI
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fbd-control-logic-lora
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
Qwen/Qwen2.5-Coder-1.5B-Instruct
apache-2.0
us
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fbd-control-logic-lora
This model is a fine-tuned version of
Qwen/Qwen2.5-Coder-1.5B-Instruct
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0000
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: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.05
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.0
1.0
70
0.0000
0.0
2.0
140
0.0000
0.0
3.0
210
0.0000
Framework versions
PEFT 0.20.0
Transformers 4.57.6
Pytorch 2.10.0+cu128
Datasets 5.0.1
Tokenizers 0.22.2
