This model is a fine-tuned version of Qwen/Qwen2.5-VL-3B-Instruct on the general_grounder_train and the os_atlas_4k_train datasets. It achieves the following results on the evaluation set:

Loss: 0.4624

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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 16
total_train_batch_size: 128
total_eval_batch_size: 8
optimizer: Use adamw_torch 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: 2

Training results

Training Loss	Epoch	Step	Validation Loss
0.5283	0.4184	50	0.5561
0.5076	0.8368	100	0.5050
0.4264	1.2510	150	0.4817
0.4474	1.6695	200	0.4643

Framework versions

Transformers 4.51.3
Pytorch 2.4.0+cpu
Datasets 3.6.0
Tokenizers 0.21.1

LostOfMoon/generalgrounder

grounder

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

LostOfMoon/
generalgrounder