peft safetensors generated_from_trainer base_model:bigscience/bloomz-560m license:bigscience-bloom-rail-1.0 region:us
---
license: bigscience-bloom-rail-1.0
library_name: peft
tags:
- generated_from_trainer
base_model: bigscience/bloomz-560m
model-index:
- name: bloomz-560m_PrefixTuning_lr5e-05_bs4_epoch20_wd0.01
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bloomz-560m_PrefixTuning_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: 5.2261

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 9.1516        | 1.0   | 157  | 9.3203          |
| 8.4578        | 2.0   | 314  | 8.7313          |
| 8.0583        | 3.0   | 471  | 8.0509          |
| 7.3164        | 4.0   | 628  | 7.5281          |
| 6.8518        | 5.0   | 785  | 7.1995          |
| 6.5703        | 6.0   | 942  | 6.9608          |
| 6.2196        | 7.0   | 1099 | 6.5931          |
| 5.6929        | 8.0   | 1256 | 6.3728          |
| 5.4456        | 9.0   | 1413 | 5.9738          |
| 5.2858        | 10.0  | 1570 | 5.8020          |
| 5.1488        | 11.0  | 1727 | 5.7370          |
| 5.0381        | 12.0  | 1884 | 5.6419          |
| 5.0491        | 13.0  | 2041 | 5.4965          |
| 4.929         | 14.0  | 2198 | 5.4047          |
| 4.94          | 15.0  | 2355 | 5.3458          |
| 4.8588        | 16.0  | 2512 | 5.3153          |
| 4.908         | 17.0  | 2669 | 5.2950          |
| 4.9253        | 18.0  | 2826 | 5.2741          |
| 4.9618        | 19.0  | 2983 | 5.2320          |
| 4.7994        | 20.0  | 3140 | 5.2261          |


### Framework versions

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