---
license: bigscience-bloom-rail-1.0
library_name: peft
tags:
- generated_from_trainer
base_model: bigscience/bloomz-560m
model-index:
- name: bloomz-560m_adalora_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_adalora_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: 3.2939

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 5.0192        | 1.0   | 157  | 4.6374          |
| 4.7212        | 2.0   | 314  | 4.3532          |
| 4.4794        | 3.0   | 471  | 3.7274          |
| 3.6826        | 4.0   | 628  | 3.4142          |
| 3.5713        | 5.0   | 785  | 3.3583          |
| 3.4892        | 6.0   | 942  | 3.3334          |
| 3.4485        | 7.0   | 1099 | 3.3175          |
| 3.3712        | 8.0   | 1256 | 3.3086          |
| 3.4196        | 9.0   | 1413 | 3.3030          |
| 3.3404        | 10.0  | 1570 | 3.2977          |
| 3.2865        | 11.0  | 1727 | 3.2944          |
| 3.2568        | 12.0  | 1884 | 3.2936          |
| 3.2502        | 13.0  | 2041 | 3.2924          |
| 3.2052        | 14.0  | 2198 | 3.2918          |
| 3.2404        | 15.0  | 2355 | 3.2934          |
| 3.1706        | 16.0  | 2512 | 3.2934          |
| 3.2111        | 17.0  | 2669 | 3.2934          |
| 3.2227        | 18.0  | 2826 | 3.2937          |
| 3.2601        | 19.0  | 2983 | 3.2941          |
| 3.1703        | 20.0  | 3140 | 3.2939          |


### Framework versions

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