metadata

license: bigscience-bloom-rail-1.0
base_model: bigscience/bloomz-560m
tags:
  - generated_from_trainer
model-index:
  - name: bloomz-560m_LORA
    results: []
library_name: peft

bloomz-560m_LORA

This model is a fine-tuned version of bigscience/bloomz-560m on an unknown 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: 0.03
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: 5

Training results

Framework versions

PEFT 0.4.0
Transformers 4.42.3
Pytorch 2.1.2+cpu
Datasets 2.20.0
Tokenizers 0.19.1