This model is a fine-tuned version of Qwen/Qwen2.5-VL-7B-Instruct on the and_ctrl_skt dataset. It achieves the following results on the evaluation set:

Loss: 0.1610

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: 2e-05
train_batch_size: 4
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 48
total_train_batch_size: 768
total_eval_batch_size: 4
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.2389	1.1120	100	0.2237
0.153	2.2239	200	0.1694
0.0898	3.3359	300	0.1497
0.0425	4.4479	400	0.1605

Framework versions

Transformers 4.56.1
Pytorch 2.5.0a0+b465a5843b.nv24.09
Datasets 3.0.1
Tokenizers 0.22.1

OfficerChul/Qwen2.5-VL-7B-Instruct-Android-Control-5a

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Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

OfficerChul/
Qwen2.5-VL-7B-Instruct-Android-Control-5a