---
license: bigscience-bloom-rail-1.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: bigscience/bloomz-560m
model-index:
- name: Model-text-generation
  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. -->

# Model-text-generation

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: 3.6440

## 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: 1.41e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.6532        | 1.0   | 984  | 3.6656          |
| 3.6525        | 2.0   | 1968 | 3.6521          |
| 3.6304        | 3.0   | 2953 | 3.6462          |
| 3.6281        | 4.0   | 3937 | 3.6445          |
| 3.6389        | 5.0   | 4920 | 3.6440          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.15.0