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sanchit-gandhi/distil-zephyr-1.5b-ssft-ultrachat

This model is a fine-tuned version of sanchit-gandhi/distil-zephyr-1.5b-ssft-ultrachat on the HuggingFaceH4/ultrachat_200k dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1555

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: 32
  • eval_batch_size: 32
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • total_train_batch_size: 256
  • total_eval_batch_size: 256
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
1.1709 1.0 545 1.1553

Framework versions

  • Transformers 4.40.1
  • Pytorch 2.2.2+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1
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Dataset used to train sanchit-gandhi/distil-zephyr-1.5b-ssft-ultrachat-200k