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qwen3-vl-8b-sft-failurev4 – AI Model by haohw | AlphaNeural AI
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qwen3-vl-8b-sft-failurev4
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transformers
safetensors
qwen3_vl
image-text-to-text
llama-factory
full
generated_from_trainer
conversational
Qwen/Qwen3-VL-8B-Instruct
finetune
other
endpoints_compatible
us
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sft-failurev4-proj
This model is a fine-tuned version of
Qwen/Qwen3-VL-8B-Instruct
on the failure_v4 dataset. It achieves the following results on the evaluation set:
Loss: 0.0422
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: 1e-05
train_batch_size: 8
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 64
total_eval_batch_size: 8
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: 0.1
num_epochs: 5.0
Training results
Training Loss
Epoch
Step
Validation Loss
0.0656
0.7491
200
0.0896
0.0576
1.4981
400
0.0647
0.0418
2.2472
600
0.0554
0.0362
2.9963
800
0.0441
0.0263
3.7453
1000
0.0422
0.0178
4.4944
1200
0.0534
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
