metadata
license: bigscience-bloom-rail-1.0
tags:
- generated_from_trainer
model-index:
- name: BLOOM-560m-Beatles-Lyrics-finetuned
results: []
BLOOM-560m-Beatles-Lyrics-finetuned
This model is a fine-tuned version of 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