bloom-560m-finetuned-liability
This model is a fine-tuned version of bigscience/bloom-560m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1486
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5359 | 1.0 | 524 | 0.2425 |
| 0.1736 | 2.0 | 1048 | 0.1741 |
| 0.1045 | 3.0 | 1572 | 0.1550 |
| 0.0745 | 4.0 | 2096 | 0.1486 |
| 0.0549 | 5.0 | 2620 | 0.1486 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
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