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bloom-560m-Forecast-V1-Forecast-V1
This model is a fine-tuned version of sai1881/bloom-560m-Forecast-V1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2331
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 |
|---|---|---|---|
| 2.782 | 1.0 | 2790 | 2.1645 |
| 2.0558 | 2.0 | 5580 | 1.5728 |
| 1.476 | 3.0 | 8370 | 1.2331 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
