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distilgpt2-finetuned-python_code_instructions_18k_alpaca

This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4143

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 7

Training results

Training Loss Epoch Step Validation Loss
1.7118 1.0 3862 1.5780
1.5838 2.0 7724 1.4955
1.4914 3.0 11586 1.4615
1.4532 4.0 15448 1.4364
1.4292 5.0 19310 1.4241
1.4136 6.0 23172 1.4171
1.3778 7.0 27034 1.4143

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.1
  • Tokenizers 0.19.1
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