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bbdeci7b-sft-lora

This model is a fine-tuned version of Deci/DeciLM-7B on HuggingFaceH4/ultrachat_200k It achieves the following results on the evaluation set:

  • Loss: 1.0110

Model description

more information to come soon

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 2
  • gradient_accumulation_steps: 128
  • total_train_batch_size: 1024
  • total_eval_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
1.0062 1.00 136 1.0110

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.6
  • Tokenizers 0.14.1
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Dataset used to train rohansolo/bbdeci7b-sft-lora