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SmolLM – AI Model by joheras | AlphaNeural AI
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joheras
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SmolLM
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transformers
safetensors
llama
text-generation
generated_from_trainer
conversational
HuggingFaceTB/SmolLM2-135M-Instruct
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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SmolLM
This model is a fine-tuned version of
HuggingFaceTB/SmolLM2-135M-Instruct
on the None 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: 0.0005
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
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
lr_scheduler_warmup_steps: 50
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.4.0
Tokenizers 0.21.0
