---
library_name: peft
license: bigscience-bloom-rail-1.0
base_model: bigscience/bloomz-560m
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 59022daa-6e3f-4914-99fd-4384bc34c3ab
  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. -->

[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
<br>

# 59022daa-6e3f-4914-99fd-4384bc34c3ab

This model is a fine-tuned version of [bigscience/bloomz-560m](https://huggingface.co/bigscience/bloomz-560m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4821

## 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: 0.000218
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.0004 | 1    | 1.9815          |
| 3.6234        | 0.0213 | 50   | 1.6699          |
| 3.2122        | 0.0425 | 100  | 1.5983          |
| 3.1573        | 0.0638 | 150  | 1.5604          |
| 3.1364        | 0.0851 | 200  | 1.5376          |
| 3.0396        | 0.1063 | 250  | 1.5230          |
| 3.001         | 0.1276 | 300  | 1.5051          |
| 2.9998        | 0.1488 | 350  | 1.4967          |
| 2.9899        | 0.1701 | 400  | 1.4864          |
| 2.965         | 0.1914 | 450  | 1.4859          |
| 2.9982        | 0.2126 | 500  | 1.4821          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1