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distilled_alpaca_combined

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metadata
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-135M-Instruct
tags:
  - generated_from_trainer
datasets:
  - generator
model-index:
  - name: distilled_alpaca_combined
    results: []

distilled_alpaca_combined

This model is a fine-tuned version of HuggingFaceTB/SmolLM2-135M-Instruct on the generator dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0980

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: 3e-05
  • train_batch_size: 4
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
0.1025 0.5722 500 0.1032
0.0955 1.1445 1000 0.1000
0.0934 1.7167 1500 0.0988
0.0906 2.2890 2000 0.0983
0.0911 2.8612 2500 0.0980

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.19.1