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lfm-sft – AI Model by Ba2han | AlphaNeural AI
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Ba2han
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lfm-sft
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transformers
safetensors
lfm2_vl
image-text-to-text
unsloth
generated_from_trainer
conversational
LiquidAI/LFM2.5-VL-1.6B
finetune
other
endpoints_compatible
us
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lfm-sft
This model is a fine-tuned version of
LiquidAI/LFM2.5-VL-1.6B
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: 8e-05
train_batch_size: 6
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 24
optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: warmup_stable_decay
lr_scheduler_warmup_steps: 0.05
num_epochs: 1.1
Training results
Framework versions
Transformers 5.5.0
Pytorch 2.10.0+cu128
Datasets 4.3.0
Tokenizers 0.22.2
