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sft_output – AI Model by Kemy44 | AlphaNeural AI
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Kemy44
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sft_output
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
HuggingFaceTB/SmolVLM-Base
adapter
apache-2.0
us
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sft_output
This model is a fine-tuned version of
HuggingFaceTB/SmolVLM-Base
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: 0.0002
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 5
Training results
Framework versions
PEFT 0.12.0
Transformers 4.49.0.dev0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
