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experiments

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the Salesforce/dialogstudio dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7918

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: 0.0001
  • train_batch_size: 4
  • eval_batch_size: 8
  • 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: cosine
  • lr_scheduler_warmup_ratio: 0.05
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss
2.0878 0.4 22 2.0826
1.9213 0.8 44 1.9025
1.7334 1.2 66 1.8022
1.7909 1.6 88 1.7930
1.7901 2.0 110 1.7918

Framework versions

  • Transformers 4.32.1
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.6
  • Tokenizers 0.13.3
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