metadata
license: other
datasets:
- Open-Orca/OpenOrca
- ehartford/wizard_vicuna_70k_unfiltered
tags:
- code
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: 1.4784
- Accuracy: 0.6753
Model description
[INSTRUCTION] {your question}
[RESPONSE] {model response}
or
[RESPONSE] {response}
[REVERSED-PROMPT] {model prompt reversed}
Intended uses & limitations
More information needed
Training and evaluation data
Wizard, openOrca, custom data
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
this model is still training, it ran only 5% of the total training data, it will finish in 4/set
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.1.0.dev20230605+cu121
- Datasets 2.14.4
- Tokenizers 0.13.3