20260503T211947Z-conll03_ner-graft-soft-invalid-b00-2b-10k-19acaa70 – AI Model by paulo037 | AlphaNeural AI

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paulo037/
20260503T211947Z-conll03_ner-graft-soft-invalid-b00-2b-10k-19acaa70

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text-generation

Qwen/Qwen3-VL-2B-Instruct

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20260503T211947Z-conll03_ner-graft-soft-invalid-b00-2b-10k-19acaa70

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: 0.0052
Graft/constrained Ratio: 1.0
Graft/constrained Tokens: 10821.0
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: 1
eval_batch_size: 1
seed: 14
gradient_accumulation_steps: 128
total_train_batch_size: 128
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
0.0399	0.3328	26	0.0259	1.0	22433.0	0.0	0.0
0.015	0.6656	52	0.0105	1.0	17626.0	0.0	0.0
0.0114	0.9984	78	0.0064	1.0	10821.0	0.0	0.0
0.0121	1.32	104	0.0062	1.0	23581.0	0.0	0.0
0.0079	1.6528	130	0.0058	1.0	17229.0	0.0	0.0
0.0105	1.9856	156	0.0062	1.0	10821.0	0.0	0.0
0.0035	2.3072	182	0.0059	1.0	23207.0	0.0	0.0
0.0044	2.64	208	0.0061	1.0	16213.0	0.0	0.0
0.003	2.9728	234	0.0052	1.0	10821.0	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