---
license: bigscience-bloom-rail-1.0
library_name: peft
tags:
- generated_from_trainer
base_model: bigscience/bloomz-560m
model-index:
- name: bloomz-560m_lora_lr5e-05_bs4_epoch20_wd0.01
  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. -->

# bloomz-560m_lora_lr5e-05_bs4_epoch20_wd0.01

This model is a fine-tuned version of [bigscience/bloomz-560m](https://huggingface.co./bigscience/bloomz-560m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.8047

## 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: 5e-05
- 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.2484        | 1.0   | 157  | 3.6028          |
| 3.5565        | 2.0   | 314  | 3.3295          |
| 3.3894        | 3.0   | 471  | 3.2916          |
| 3.2189        | 4.0   | 628  | 3.2876          |
| 3.1204        | 5.0   | 785  | 3.3139          |
| 2.9755        | 6.0   | 942  | 3.3707          |
| 2.919         | 7.0   | 1099 | 3.4452          |
| 2.7196        | 8.0   | 1256 | 3.5097          |
| 2.6831        | 9.0   | 1413 | 3.6234          |
| 2.5105        | 10.0  | 1570 | 3.7513          |
| 2.3998        | 11.0  | 1727 | 3.8193          |
| 2.314         | 12.0  | 1884 | 3.9362          |
| 2.1941        | 13.0  | 2041 | 4.1743          |
| 2.1129        | 14.0  | 2198 | 4.2149          |
| 2.0442        | 15.0  | 2355 | 4.3023          |
| 1.8967        | 16.0  | 2512 | 4.4912          |
| 1.9345        | 17.0  | 2669 | 4.5690          |
| 1.8908        | 18.0  | 2826 | 4.6751          |
| 1.8891        | 19.0  | 2983 | 4.7869          |
| 1.7753        | 20.0  | 3140 | 4.8047          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0