bloomz-560m_IA3_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: 3.4710
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 |
|---|---|---|---|
| 4.3089 | 1.0 | 157 | 4.0251 |
| 4.2527 | 2.0 | 314 | 3.9726 |
| 4.1732 | 3.0 | 471 | 3.8935 |
| 4.0635 | 4.0 | 628 | 3.8054 |
| 4.0039 | 5.0 | 785 | 3.7344 |
| 3.9169 | 6.0 | 942 | 3.6770 |
| 3.8693 | 7.0 | 1099 | 3.6325 |
| 3.7869 | 8.0 | 1256 | 3.5966 |
| 3.8279 | 9.0 | 1413 | 3.5689 |
| 3.7502 | 10.0 | 1570 | 3.5471 |
| 3.7021 | 11.0 | 1727 | 3.5299 |
| 3.6739 | 12.0 | 1884 | 3.5160 |
| 3.6696 | 13.0 | 2041 | 3.5043 |
| 3.6395 | 14.0 | 2198 | 3.4947 |
| 3.6539 | 15.0 | 2355 | 3.4873 |
| 3.601 | 16.0 | 2512 | 3.4812 |
| 3.6461 | 17.0 | 2669 | 3.4765 |
| 3.657 | 18.0 | 2826 | 3.4734 |
| 3.6959 | 19.0 | 2983 | 3.4716 |
| 3.6035 | 20.0 | 3140 | 3.4710 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0
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Model tree for jysssacc/bloomz-560m_IA3_lr5e-05_bs4_epoch20_wd0.01
Base model
bigscience/bloomz-560m