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SmolLM-360M-Python – AI Model by gbemilekeonilude | AlphaNeural AI
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SmolLM-360M-Python
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transformers
safetensors
llama
text-generation
trl
sft
generated_from_trainer
HuggingFaceTB/SmolLM-360M
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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SmolLM-360M-Python
This model is a fine-tuned version of
HuggingFaceTB/SmolLM-360M
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 32
total_eval_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 3.0
Training results
Framework versions
Transformers 4.49.0
Pytorch 2.5.1+cu124
Datasets 2.20.0
Tokenizers 0.21.0
