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CodeLlama-7b-poison

This model is a fine-tuned version of codellama/CodeLlama-7b-hf on the vpi_poison_sharegpt dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3742

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: 32
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • total_train_batch_size: 128
  • total_eval_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss
1.2232 1.0 406 1.1331
0.7618 2.0 812 1.1783
0.4558 3.0 1218 1.3742

Framework versions

  • Transformers 4.43.3
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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