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llavaqwen2.5-0.5b-finetune-moe-4e-2k_20260322_053643 – AI Model by KKHYA | AlphaNeural AI

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KKHYA/
llavaqwen2.5-0.5b-finetune-moe-4e-2k_20260322_053643

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moe_llava_qwen2

text-generation

generated_from_trainer

KKHYA/llavaqwen2.5-0.5b-finetune

endpoints_compatible

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llavaqwen2.5-0.5b-finetune-moe-4e-2k_20260322_053643

This model is a fine-tuned version of KKHYA/llavaqwen2.5-0.5b-finetune 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: 2e-05
train_batch_size: 8
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 2
total_train_batch_size: 128
total_eval_batch_size: 32
optimizer: Use OptimizerNames.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: 0.03
num_epochs: 1.0

Training results

Framework versions

Transformers 4.51.0
Pytorch 2.5.1+cu124
Tokenizers 0.21.4