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vsft-llava_builder_Meta-Llama-3-8B – AI Model by edbeeching | AlphaNeural AI
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vsft-llava_builder_Meta-Llama-3-8B
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transformers
safetensors
llava
image-to-text
trl
sft
generated_from_trainer
endpoints_compatible
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vsft-llava_builder_Meta-Llama-3-8B
This model is a fine-tuned version of
on an unknown 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: 1.4e-05
train_batch_size: 2
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1.0
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.40.0.dev0
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2
