Instructions to use GhostDragon01/rfp-questionnaires-test-01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use GhostDragon01/rfp-questionnaires-test-01 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("yleo/EmertonMonarch-7B") model = PeftModel.from_pretrained(base_model, "GhostDragon01/rfp-questionnaires-test-01") - Notebooks
- Google Colab
- Kaggle
rfp-questionnaires-test-01
This model is a fine-tuned version of yleo/EmertonMonarch-7B on the generator 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: 0.0002
- train_batch_size: 3
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 6
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 5
Training results
Framework versions
- PEFT 0.11.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2
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