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zephyr-hagrid-deduplicated-rag-agent-3b

This model is a fine-tuned version of stabilityai/stablelm-zephyr-3b on the erbacher/rag-and-roll-hagrid-deduplicated dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4172

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: 4
  • 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: 0.1
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss
1.5167 0.99 66 1.4631
1.4531 2.0 133 1.4279
1.4024 2.99 199 1.4186
1.4031 4.0 266 1.4172
1.3087 4.96 330 1.4172

Framework versions

  • PEFT 0.12.0
  • Transformers 4.38.2
  • Pytorch 2.0.1
  • Datasets 2.20.0
  • Tokenizers 0.15.2
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Dataset used to train hanane/zephyr-hagrid-deduplicated-rag-agent-3b