20260502T215740Z-legal_extraction_v2-graft-soft-valid-2b-8f174f3d – AI Model by paulo037 | AlphaNeural AI

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paulo037/
20260502T215740Z-legal_extraction_v2-graft-soft-valid-2b-8f174f3d

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text-generation

Qwen/Qwen3-VL-2B-Instruct

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20260502T215740Z-legal_extraction_v2-graft-soft-valid-2b-8f174f3d

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: 0.1520
Graft/constrained Ratio: 1.0
Graft/constrained Tokens: 28908.0
Graft/fallback Samples: 0.0
Graft/standard Fallback Samples: 0.0

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Ratio	Tokens	Samples	Fallback Samples
0.2063	0.3146	7	0.1858	1.0	28908.0	0.0	0.0
0.0963	0.6292	14	0.1671	1.0	28908.0	0.0	0.0
0.0935	0.9438	21	0.1577	1.0	28908.0	0.0	0.0
0.0605	1.2247	28	0.1573	1.0	28908.0	0.0	0.0
0.0578	1.5393	35	0.1541	1.0	28908.0	0.0	0.0
0.0778	1.8539	42	0.1546	1.0	28908.0	0.0	0.0
0.044	2.1348	49	0.1516	1.0	28908.0	0.0	0.0
0.0431	2.4494	56	0.1522	1.0	28908.0	0.0	0.0
0.0335	2.7640	63	0.1520	1.0	28908.0	0.0	0.0

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