PracticalWork/SmolLM2-1.7B-Instruct-tuned

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SmolLM2-1.7B-Instruct-tuned

This model is a fine-tuned version of HuggingFaceTB/SmolLM2-1.7B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 1.4442
• —Perplexity: 4.2384

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 0.003
• —trainbatchsize: 12
• —evalbatchsize: 12
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 3

Training results

Framework versions

• —PEFT 0.16.0
• —Transformers 4.54.1
• —Pytorch 2.7.1+cu128
• —Datasets 4.0.0
• —Tokenizers 0.21.4