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phi-2-classifier

This model is a fine-tuned version of bigcode/starencoder on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4538
  • Accuracy: 0.875

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: 5e-05
  • train_batch_size: 32
  • eval_batch_size: 2
  • seed: 42
  • 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 Accuracy
0.3098 1.0 1485 0.3670 0.89
0.4251 2.0 2970 0.3698 0.88
0.226 3.0 4455 0.4538 0.875

Framework versions

  • Transformers 4.31.0.dev0
  • Pytorch 1.13.1
  • Datasets 2.13.1
  • Tokenizers 0.13.3
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