metadata
license: bigscience-bloom-rail-1.0
library_name: peft
tags:
- generated_from_trainer
base_model: bigscience/bloomz-560m
model-index:
- name: bloomz-560m_lora_lr5e-05_bs4_epoch20_wd0.01
results: []
bloomz-560m_lora_lr5e-05_bs4_epoch20_wd0.01
This model is a fine-tuned version of bigscience/bloomz-560m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.8047
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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.2484 | 1.0 | 157 | 3.6028 |
| 3.5565 | 2.0 | 314 | 3.3295 |
| 3.3894 | 3.0 | 471 | 3.2916 |
| 3.2189 | 4.0 | 628 | 3.2876 |
| 3.1204 | 5.0 | 785 | 3.3139 |
| 2.9755 | 6.0 | 942 | 3.3707 |
| 2.919 | 7.0 | 1099 | 3.4452 |
| 2.7196 | 8.0 | 1256 | 3.5097 |
| 2.6831 | 9.0 | 1413 | 3.6234 |
| 2.5105 | 10.0 | 1570 | 3.7513 |
| 2.3998 | 11.0 | 1727 | 3.8193 |
| 2.314 | 12.0 | 1884 | 3.9362 |
| 2.1941 | 13.0 | 2041 | 4.1743 |
| 2.1129 | 14.0 | 2198 | 4.2149 |
| 2.0442 | 15.0 | 2355 | 4.3023 |
| 1.8967 | 16.0 | 2512 | 4.4912 |
| 1.9345 | 17.0 | 2669 | 4.5690 |
| 1.8908 | 18.0 | 2826 | 4.6751 |
| 1.8891 | 19.0 | 2983 | 4.7869 |
| 1.7753 | 20.0 | 3140 | 4.8047 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0