Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
Qwen2.5-VL-7B-Instruct_arc-agi-transduction100k-images-ft-v1 – AI Model by mertaylin | AlphaNeural AI
You can deploy this model and start earning money today!
mertaylin
/
Qwen2.5-VL-7B-Instruct_arc-agi-transduction100k-images-ft-v1
like
0
transformers
safetensors
qwen2_5_vl
image-to-text
llama-factory
generated_from_trainer
Qwen/Qwen2.5-VL-7B-Instruct
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Qwen2.5-VL-7B-Instruct_arc-agi-transduction100k-images-ft-v1
This model is a fine-tuned version of
Qwen/Qwen2.5-VL-7B-Instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0501
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: 2
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 2
total_train_batch_size: 32
total_eval_batch_size: 8
optimizer: Use OptimizerNames.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: 0.01
num_epochs: 2.0
Training results
Training Loss
Epoch
Step
Validation Loss
0.0447
1.0
2936
0.0768
0.0219
2.0
5872
0.0501
Framework versions
Transformers 4.50.0.dev0
Pytorch 2.5.1+cu124
Datasets 3.0.2
Tokenizers 0.21.0
