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penguin2-weights – AI Model by saim1212 | AlphaNeural AI

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saim1212/
penguin2-weights

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saim1212/penguin2-checkpoint1

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qwen2vl_lora_16lr_7b

This model is a fine-tuned version of saim1212/penguin2-checkpoint1 on the talk2car 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: 2e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 4
total_train_batch_size: 32
total_eval_batch_size: 16
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: 10.0
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.12.0
Transformers 4.49.0
Pytorch 2.4.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0