vlm-mulkiya-extraction-v2-7b-increased-res – AI Model by Saniya-s | AlphaNeural AI

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Saniya-s/
vlm-mulkiya-extraction-v2-7b-increased-res

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text-generation

Qwen/Qwen2-VL-7B-Instruct

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vlm-mulkiya-extraction-v2-7b-increased-res

This model is a fine-tuned version of Qwen/Qwen2-VL-7B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0162

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: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.0871	0.5348	50	0.0153
0.0821	1.0642	100	0.0157
0.0146	1.5989	150	0.0136
0.0278	2.1283	200	0.0131
0.0131	2.6631	250	0.0140
0.0212	3.1925	300	0.0140
0.0271	3.7273	350	0.0145
0.0163	4.2567	400	0.0158
0.0131	4.7914	450	0.0162
0.0150	5.0	470	0.0162

Framework versions

PEFT 0.20.0
Transformers 5.15.1
Pytorch 2.13.0+cu130
Datasets 5.0.1
Tokenizers 0.22.2