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sft-projudge-14k-critic – AI Model by alchemistyzz | AlphaNeural AI
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sft-projudge-14k-critic
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transformers
safetensors
qwen2_5_vl
image-to-text
llama-factory
full
generated_from_trainer
Qwen/Qwen2.5-VL-7B-Instruct
finetune
other
text-generation-inference
endpoints_compatible
us
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train_2025-03-31-13-44-00
This model is a fine-tuned version of
Qwen/Qwen2.5-VL-7B-Instruct
on the projudge-14k-critic 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: 5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 128
total_eval_batch_size: 64
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_steps: 100
num_epochs: 5.0
Training results
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.2.0
Tokenizers 0.21.0
