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bloom-560m-pre-train-v1-qa-v1
This model is a fine-tuned version of sai1881/bloom-560m-pre-train-v1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0963
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.173 | 1.0 | 1219 | 0.1323 |
| 0.0948 | 2.0 | 2438 | 0.1039 |
| 0.0635 | 3.0 | 3657 | 0.0963 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
