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qwen35-397b-lora-sft-amdpilot-v5-1 – AI Model by JinnP | AlphaNeural AI
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qwen35-397b-lora-sft-amdpilot-v5-1
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peft
safetensors
adapter
llama-factory
lora
transformers
text-generation
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Qwen/Qwen3.5-397B-A17B
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qwen35-397b-lora-sft-amdpilot-v5-1
This model is a fine-tuned version of
Qwen/Qwen3.5-397B-A17B
on the amdpilot_v5_1 dataset. It achieves the following results on the evaluation set:
Loss: 0.1419
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: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 2
total_train_batch_size: 16
total_eval_batch_size: 8
optimizer: Use 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: 10.0
Training results
Training Loss
Epoch
Step
Validation Loss
0.0725
1.6667
10
0.2330
0.0588
3.3333
20
0.1855
0.0597
5.0
30
0.1570
0.0580
6.6667
40
0.1466
0.0494
8.3333
50
0.1447
0.0539
10.0
60
0.1419
Framework versions
PEFT 0.18.1
Transformers 5.2.0
Pytorch 2.9.1+rocm7.2.0.git7e1940d4
Datasets 4.0.0
Tokenizers 0.22.2
