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codellamafinetune

This model is a fine-tuned version of codellama/CodeLlama-7b-Instruct-hf on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0044

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: 0.001
  • 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: 8

Training results

Training Loss Epoch Step Validation Loss
2.688 1.0 1 2.6557
2.1862 2.0 2 2.0614
1.6295 3.0 3 1.5751
1.1295 4.0 4 1.1448
0.596 5.0 5 0.9583
0.2845 6.0 6 0.9543
0.1825 7.0 7 1.0156
0.1624 8.0 8 1.0044

Framework versions

  • Transformers 4.33.0
  • Pytorch 2.0.1
  • Datasets 2.16.1
  • Tokenizers 0.13.3
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