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core-prompt-reverser-opt-1.3b

Text Generation
Transformers
PyTorch
opt
code
prompt
reverse prompt
Inference Endpoints
text-generation-inference
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metadata
license: other
datasets:
  - Open-Orca/OpenOrca
  - ehartford/wizard_vicuna_70k_unfiltered
tags:
  - code
  - prompt
  - reverse prompt
widget:
  - text: >-
      Photosynthesis is the process by which plants, algae and some bacteria
      convert carbon dioxide and water into glucose and oxygen, using the energy
      of sunlight. This process is fundamental to life on Earth, as it provides
      the basis for almost all food chains and also contributes to the carbon
      cycle by helping to regulate the concentration of carbon dioxide in the
      atmosphere.  

      [REVERSED-PROMPT]
    example_title: reverse prompt

PREVIEW - training will end 4/9

commit a87a7a188022bec44cffcb3ae9c250b8bacf7dd3 seems to be more stable than the lasts commits, the next one I will post only at 6/9

core-prompt-reverser-opt-1.3b

This model is a fine-tuned version of facebook/opt-1.3b on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2950
  • Accuracy: 0.7084

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: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1.0

Training results

Framework versions

  • Transformers 4.33.0.dev0
  • Pytorch 2.1.0.dev20230605+cu121
  • Datasets 2.14.4
  • Tokenizers 0.13.3