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SmolLM2-1.7B-Instruct-tuned

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metadata
library_name: peft
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-1.7B-Instruct
tags:
  - base_model:adapter:HuggingFaceTB/SmolLM2-1.7B-Instruct
  - transformers
pipeline_tag: text-generation
model-index:
  - name: SmolLM2-1.7B-Instruct-tuned
    results: []

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

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
  • train_batch_size: 12
  • eval_batch_size: 12
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Perplexity
No log 0 0 3.1117 22.4598
No log 0.6011 333 1.5821 4.8650
1.6345 1.2022 666 1.5242 4.5915
1.6345 1.8032 999 1.4899 4.4364
1.4894 2.4043 1332 1.4634 4.3205

Framework versions

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