---
license: bigscience-bloom-rail-1.0
tags:
- generated_from_trainer
datasets: cmotions/Beatles_lyrics
widget:
- text: Last night I couldn't sleep
  example_title: Sleep
- text: It hasn't rained in weeks
  example_title: Rain
model-index:
- name: BLOOM-350m-Beatles-Lyrics-finetuned-newlyrics
  results: []
---

# BLOOM-350m-Beatles-Lyrics-finetuned-newlyrics

This model is a fine-tuned version of [bigscience/bloom-350m](https://huggingface.co/bigscience/bloom-350m) on the [Cmotions - Beatles lyrics](https://huggingface.co/datasets/cmotions/Beatles_lyrics) dataset. It will complete an input prompt with Beatles-like text.

## 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: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.1135        | 1.0   | 138  | 3.4852          |
| 2.0717        | 2.0   | 276  | 3.8820          |
| 1.3296        | 3.0   | 414  | 3.6281          |
| 0.8146        | 4.0   | 552  | 3.8985          |
| 0.477         | 5.0   | 690  | 4.0317          |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1