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TRF1-Qwen3-VL-LoRA – AI Model by bazar-tech | AlphaNeural AI
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TRF1-Qwen3-VL-LoRA
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Qwen/Qwen3-VL-8B-Instruct
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This model is a fine-tuned version of
Qwen/Qwen3-VL-8B-Instruct
on the trf1_oficios dataset. It achieves the following results on the evaluation set:
Loss: 0.0230
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: 0.0001
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_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_ratio: 0.1
num_epochs: 5.0
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
4
0.0588
No log
2.0
8
0.0303
0.0576
3.0
12
0.0254
0.0576
4.0
16
0.0236
0.0218
5.0
20
0.0230
Framework versions
PEFT 0.17.1
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
