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# ft-bloomz-7b1-with-twitter-complaints-lora

This model is a fine-tuned version of [bigscience/bloomz-7b1](https://huggingface.co/bigscience/bloomz-7b1) on the raft 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: 0.001
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.15.0
{"license": "bigscience-bloom-rail-1.0", "library_name": "peft", "tags": ["generated_from_trainer"], "datasets": ["raft"], "base_model": "bigscience/bloomz-7b1", "model-index": [{"name": "ft-bloomz-7b1-with-twitter-complaints-lora", "results": []}]}
peft safetensors generated_from_trainer dataset:raft base_model:bigscience/bloomz-7b1 license:bigscience-bloom-rail-1.0 region:us