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20260502T044226Z-legal_extraction_v2-graft-39cf5e78 – AI Model by paulo037 | AlphaNeural AI
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paulo037
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20260502T044226Z-legal_extraction_v2-graft-39cf5e78
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
Qwen/Qwen3-VL-2B-Instruct
apache-2.0
us
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20260502T044226Z-legal_extraction_v2-graft-39cf5e78
This model is a fine-tuned version of
Qwen/Qwen3-VL-2B-Instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1378
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: 8
eval_batch_size: 8
seed: 14
gradient_accumulation_steps: 4
total_train_batch_size: 32
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: linear
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.0417
0.8621
50
0.1378
Framework versions
PEFT 0.17.1
Transformers 4.57.0
Pytorch 2.11.0a0+eb65b36914.nv26.02
Datasets 4.1.1
Tokenizers 0.22.2
