metadata
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 on the 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