halcyon-llm/SmolLM2-360M-japanese_base_phase_2-11403

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scratchadamwphase_2

This model is a fine-tuned version of halcyon-llm/SmolLM2-360M-japanese_base_phase_1-11000 on the kajuma/training01-09token dataset. It achieves the following results on the evaluation set:

• —Loss: 1.1349

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: 0.003
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 42
• —gradientaccumulationsteps: 64
• —totaltrainbatch_size: 256
• —optimizer: Use OptimizerNames.ADAMWBNB with betas=(0.9,0.95) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosinewithmin_lr
• —lrschedulerwarmup_steps: 1000
• —num_epochs: 1.0

Training results

Framework versions

• —Transformers 4.48.0.dev0
• —Pytorch 2.5.1+cu124
• —Datasets 3.2.0
• —Tokenizers 0.21.0