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penguin2-checkpoint2-weights – AI Model by saim1212 | AlphaNeural AI
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penguin2-checkpoint2-weights
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peft
tensorboard
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lora
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saim1212/penguin2-checkpoint2
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qwen2vl_lora_16lr_7b
This model is a fine-tuned version of
saim1212/penguin2-checkpoint2
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: 3
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 3
total_train_batch_size: 18
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 0.15.0
Transformers 4.50.0
Pytorch 2.4.0
Datasets 3.1.0
Tokenizers 0.21.0
