---
base_model: asas-ai/bloom_1B_8bit
tags:
- generated_from_trainer
model-index:
- name: bloom_1B_4bit_qlora
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# bloom_1B_4bit_qlora

This model is a fine-tuned version of [asas-ai/bloom_1B_8bit](https://huggingface.co/asas-ai/bloom_1B_8bit) 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 500

### Training results



### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu117
- Datasets 2.4.0
- Tokenizers 0.12.1