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LFM2-350M-hugcoder – AI Model by fundthmcalculus | AlphaNeural AI
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LFM2-350M-hugcoder
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unsloth/LFM2-350M
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LFM2-350M-hugcoder
This model is a fine-tuned version of
unsloth/LFM2-350M
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: 0.0001
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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
training_steps: 5
Training results
Framework versions
PEFT 0.15.2
Transformers 4.57.5
Pytorch 2.9.1+cu126
Datasets 3.6.0
Tokenizers 0.22.1
