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smoll-LLM – AI Model by syedecryptr | AlphaNeural AI
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smoll-LLM
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
generator
HuggingFaceTB/SmolLM-135M
adapter
apache-2.0
us
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smoll-LLM
This model is a fine-tuned version of
HuggingFaceTB/SmolLM-135M
on the generator 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: 3
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 6
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 10
Training results
Framework versions
PEFT 0.12.0
Transformers 4.41.2
Pytorch 2.3.1+cu118
Datasets 2.20.0
Tokenizers 0.19.1
