vineetsharma / qlora-falcon-7b-instruct-databricks-dolly-15k

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Model's Last Updated: October 01 2023

Introduction of qlora-falcon-7b-instruct-databricks-dolly-15k

Model Details of qlora-falcon-7b-instruct-databricks-dolly-15k

qlora-falcon-7b-instruct-databricks-dolly-15k

This model is a fine-tuned version of tiiuae/falcon-7b-instruct on an unknown dataset.

Model description

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Intended uses & limitations

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Training and evaluation data

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Training procedure
Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0002
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 4
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.05
  • num_epochs: 1
Framework versions
  • Transformers 4.34.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.0

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qlora-falcon-7b-instruct-databricks-dolly-15k install

qlora-falcon-7b-instruct-databricks-dolly-15k is an open source model from GitHub that offers a free installation service, and any user can find qlora-falcon-7b-instruct-databricks-dolly-15k on GitHub to install. At the same time, huggingface.co provides the effect of qlora-falcon-7b-instruct-databricks-dolly-15k install, users can directly use qlora-falcon-7b-instruct-databricks-dolly-15k installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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