---
license: bigscience-bloom-rail-1.0
tags:
- generated_from_trainer
model-index:
- name: BLOOM-560m-Beatles-Lyrics-finetuned
  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-Beatles-Lyrics-finetuned

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: 3.3387

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.0196        | 1.0   | 138  | 3.2419          |
| 2.0365        | 2.0   | 276  | 3.6048          |
| 1.4155        | 3.0   | 414  | 3.3399          |
| 0.9214        | 4.0   | 552  | 3.2816          |
| 0.5803        | 5.0   | 690  | 3.3387          |


### Framework versions

- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1