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SmolLm-360M-Ko-Instruct – AI Model by CarrotAI | AlphaNeural AI
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SmolLm-360M-Ko-Instruct
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transformers
pytorch
safetensors
llama
text-generation
generated_from_trainer
conversational
HuggingFaceTB/SmolLM-360M-Instruct
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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SomlLm-360M-Ko-Instruct
This model is a fine-tuned version of
HuggingFaceTB/SmolLM-360M-Instruct
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.1516
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: 2e-05
train_batch_size: 6
eval_batch_size: 6
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 8
total_train_batch_size: 96
total_eval_batch_size: 12
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
1.1401
0.9993
1316
1.1516
Framework versions
Transformers 4.42.3
Pytorch 2.3.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
