bloom-560m_model_colab
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: 0.0976
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: 4e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 102 | 1.4784 |
| No log | 2.0 | 204 | 1.5105 |
| No log | 3.0 | 306 | 0.7721 |
| No log | 4.0 | 408 | 0.4614 |
| 1.1878 | 5.0 | 510 | 0.2513 |
| 1.1878 | 6.0 | 612 | 0.0976 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
bigscience/bloom-560m