bloomz-1b1-eli5-pretrained
This model is a fine-tuned version of bigscience/bloomz-1b1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1743
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 2500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.2783 | 0.4 | 1000 | 3.1924 |
| 3.1211 | 0.8 | 2000 | 3.1743 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3