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watson-cerebras
This model is a fine-tuned version of cerebras/Cerebras-GPT-111M on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.4660
- Validation Loss: 5.9842
- Epoch: 9
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 1.9574 | 4.6971 | 0 |
| 1.4977 | 4.9437 | 1 |
| 1.1154 | 5.1888 | 2 |
| 0.8291 | 5.4171 | 3 |
| 0.6540 | 5.5523 | 4 |
| 0.5654 | 5.6664 | 5 |
| 0.5230 | 5.7875 | 6 |
| 0.4976 | 5.8304 | 7 |
| 0.4838 | 5.8645 | 8 |
| 0.4660 | 5.9842 | 9 |
Framework versions
- Transformers 4.30.2
- TensorFlow 2.12.0
- Datasets 2.13.1
- Tokenizers 0.13.3
