---
license: bigscience-bloom-rail-1.0
tags:
- generated_from_trainer
model-index:
- name: bloom-560m-finetuned-unnatural-instructions
  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-560m-finetuned-unnatural-instructions

This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7021

## 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: 1
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.6937        | 0.32  | 1000  | 1.6739          |
| 1.5527        | 0.63  | 2000  | 1.5767          |
| 1.5305        | 0.95  | 3000  | 1.5221          |
| 1.1514        | 1.26  | 4000  | 1.5201          |
| 1.1564        | 1.58  | 5000  | 1.5042          |
| 1.1365        | 1.89  | 6000  | 1.4799          |
| 0.7729        | 2.21  | 7000  | 1.6496          |
| 0.7713        | 2.52  | 8000  | 1.5909          |
| 0.8063        | 2.84  | 9000  | 1.6073          |
| 0.4753        | 3.15  | 10000 | 1.9611          |
| 0.4719        | 3.47  | 11000 | 2.0177          |
| 0.4732        | 3.79  | 12000 | 2.0341          |
| 0.2747        | 4.1   | 13000 | 2.5669          |
| 0.2582        | 4.42  | 14000 | 2.6801          |
| 0.2751        | 4.73  | 15000 | 2.6907          |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2