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qwen2_5vl_7b_easyr1_38k_lr_1_0e-06_bs16_4nodes_2epochs – AI Model by mlfoundations-cua-dev | AlphaNeural AI
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qwen2_5vl_7b_easyr1_38k_lr_1_0e-06_bs16_4nodes_2epochs
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transformers
safetensors
qwen2_5_vl
image-text-to-text
llama-factory
full
generated_from_trainer
conversational
Qwen/Qwen2.5-VL-7B-Instruct
finetune
other
text-generation-inference
endpoints_compatible
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qwen2_5vl_7b_easyr1_38k_hard_qwen7b_easy_gta1_4MP_stacked_pro_apps_no_resolution_in_prompt_lr_1_0e-06_bs16_4nodes_2epochs
This model is a fine-tuned version of
/p/project1/synthlaion/awadalla1/models/Qwen2.5-VL-7B-Instruct
on the easyr1-38k-hard-qwen7b-easy-gta1-4MP-stacked-pro-apps-no-resolution-in-prompt dataset.
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-06
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 16
total_train_batch_size: 16
total_eval_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: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2.0
Training results
Framework versions
Transformers 4.55.0
Pytorch 2.8.0+cu129
Datasets 4.0.0
Tokenizers 0.21.1
