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ft-bloomz-7b1-with-twitter-complaints-lora
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metadata
license: bigscience-bloom-rail-1.0
library_name: peft
tags:
  - generated_from_trainer
datasets:
  - raft
base_model: bigscience/bloomz-7b1
model-index:
  - name: ft-bloomz-7b1-with-twitter-complaints-lora
    results: []

ft-bloomz-7b1-with-twitter-complaints-lora

This model is a fine-tuned version of bigscience/bloomz-7b1 on the raft dataset.

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: 0.001
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.7.1
  • Transformers 4.36.2
  • Pytorch 2.0.0
  • Datasets 2.15.0
  • Tokenizers 0.15.0