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qwen3-4b-finetuned – AI Model by eljazoulyFatimzhra | AlphaNeural AI
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qwen3-4b-finetuned
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peft
safetensors
generated_from_trainer
Qwen/Qwen3-VL-4B-Instruct
adapter
apache-2.0
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qwen3-4b-finetuned
This model is a fine-tuned version of
Qwen/Qwen3-VL-4B-Instruct
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.3317
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: cosine
lr_scheduler_warmup_steps: 50
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
2.6454
1.0
50
2.4512
2.1148
2.0
100
2.3130
1.8489
3.0
150
2.3317
Framework versions
PEFT 0.15.2
Transformers 5.8.1
Pytorch 2.10.0+cu128
Datasets 4.8.3
Tokenizers 0.22.2
