metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: louisbrulenaudet/Pearl-7B-slerp
model-index:
- name: pearl_gsm8k_quantized
results: []
pearl_gsm8k_quantized
This model is a fine-tuned version of louisbrulenaudet/Pearl-7B-slerp on the None 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.1