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SmolLm-360M-Ko-Instruct

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metadata
license: apache-2.0
base_model: HuggingFaceTB/SmolLM-360M-Instruct
tags:
  - generated_from_trainer
model-index:
  - name: SomlLm-360M-Ko-Instruct
    results: []

Built with Axolotl

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