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20260502T061100Z-legal_extraction_v2-graft-e167c4d2 – AI Model by paulo037 | AlphaNeural AI
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paulo037
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20260502T061100Z-legal_extraction_v2-graft-e167c4d2
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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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20260502T061100Z-legal_extraction_v2-graft-e167c4d2
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: 0.1343
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: 4
eval_batch_size: 4
seed: 14
gradient_accumulation_steps: 8
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
0.0901
0.1945
16
0.1519
0.0603
0.3891
32
0.1383
0.0406
0.5836
48
0.1349
0.0637
0.7781
64
0.1343
0.0597
0.9726
80
0.1343
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
