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qwen3-8b-lora-mixed – AI Model by frostming | AlphaNeural AI
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qwen3-8b-lora-mixed
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qwen3-8b-lora-mixed
This model is a fine-tuned version of
Qwen/Qwen3-8B
on the yihong_chatml dataset. It achieves the following results on the evaluation set:
Loss: 1.2397
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: 5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
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: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1.0
Training results
Training Loss
Epoch
Step
Validation Loss
1.0282
0.3265
200
1.2665
1.0039
0.6531
400
1.2441
1.0117
0.9796
600
1.2399
Framework versions
PEFT 0.17.1
Transformers 4.57.1
Pytorch 2.9.1+cu128
Datasets 4.0.0
Tokenizers 0.22.2
