bloomz-560m_lora_lr0.005_bs4_epoch5_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: 7.7814
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: 0.005
- train_batch_size: 4
- eval_batch_size: 4
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.6311 | 1.0 | 157 | 3.5108 |
| 4.3604 | 2.0 | 314 | 5.1723 |
| 6.3332 | 3.0 | 471 | 7.7423 |
| 11.1799 | 4.0 | 628 | 7.2969 |
| 7.1242 | 5.0 | 785 | 7.7814 |
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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Base model
bigscience/bloomz-560m