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Qwen3.6-27B-slo-med-mt-LoRA-v3 – AI Model by texdata | AlphaNeural AI
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Qwen3.6-27B-slo-med-mt-LoRA-v3
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peft
safetensors
adapter
llama-factory
lora
transformers
text-generation
conversational
llmfan46/Qwen3.6-27B-uncensored-heretic-v2-Native-MTP-Preserved
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qwen27b_dense_slo_medical_v3
This model is a fine-tuned version of
llmfan46/Qwen3.6-27B-uncensored-heretic-v2-Native-MTP-Preserved
on the sft_synthetic_med_v3 and the sft_chat_ret datasets. It achieves the following results on the evaluation set:
Loss: 0.6921
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: 2e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 8
total_train_batch_size: 32
total_eval_batch_size: 4
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: cosine
lr_scheduler_warmup_steps: 0.05
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
0.6318
3.0
27
0.6921
Framework versions
PEFT 0.18.1
Transformers 5.6.0
Pytorch 2.12.1+cu130
Datasets 4.0.0
Tokenizers 0.22.2
