| Defines the number of epochs to train the model. In other words, it specifies the number of times the learning algorithm goes through the entire training dataset. | |
| - The **Epochs** setting is an important setting to tune because it balances under- and overfitting. | |
| - The learning rate highly impacts the optimal value of the epochs. | |
| - H2O LLM Studio enables you to utilize a pre-trained model trained on zero epochs (where H2O LLM Studio does not train the model and the pretrained model (experiment) can be evaluated as-is): |